Method, device and equipment for determining toughness index of urban water environment

Abstract

The invention provides a method, a device and equipment for determining a toughness index of an urban water environment, and belongs to the technical field of urban toughness calculation. The method for determining the toughness index of the urban water environment comprises the following steps: determining risk levels corresponding to M time periods according to hydrological data of a target urban area in the M time periods; according to the water quality data of the target city region in the M time periods, obtaining respective water quality indexes of N predetermined risk grades; and determining the toughness index of the water environment of the target urban area according to the respective water quality indexes and hydrological indexes of the N predetermined risk grades. The toughness index of the water environment determined by the method provided by the invention is more accurate, and the practicability and operability are high.

Description

Technical Field

[0001] The present invention relates to the technical field of urban resilience calculation, and more specifically, to a method, device, and equipment for determining the resilience index of an urban water environment. Background Art

[0002] Currently, the overall quality of the urban water environment shows a continuous improvement trend, but the pollution problem during the flood season is becoming increasingly prominent. Therefore, it is urgent to calculate the resilience of the urban water environment in order to optimize the urban ecological infrastructure according to the resilience level of the urban water environment, so as to cope with the pollution during the flood season.

[0003] In the related art, the method for determining the resilience of the urban water environment is complex, with poor practicability and operability, and it is unable to accurately determine the resilience of the urban water environment when facing the pollution problem during the flood season. Summary of the Invention

[0004] In view of this, the present invention provides a method, device, equipment, medium, and program product for determining the resilience index of an urban water environment.

[0005] One aspect of the present invention provides a method for determining the resilience index of an urban water environment, including the following steps: determining the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods, where the risk level corresponding to each time period is one of the N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level values, M and N are each independently an integer greater than or equal to 1, and the hydrological data includes at least one of precipitation data and sponge project design data; obtaining the water quality index of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods, where the water quality data includes the water body physical and chemical property data of the target urban area, and the water quality index is used to characterize the fluctuation degree of the water environment of the target urban area corresponding to each predetermined risk level; determining the resilience index of the water environment of the target urban area according to the water quality index and hydrological index of each of the N predetermined risk levels.

[0006] According to an embodiment of the present invention, obtaining the water quality index of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods includes, for any i-th predetermined risk level, performing the following operations, where : Determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods; obtain the water quality score of the target time period according to the water quality data of the target urban area within the target time period, where water quality data in different concentration ranges corresponds to different water quality scores; obtain the maximum water quality score of the M time periods according to the water quality data of the target urban area within the M time periods; calculate the water quality index of the i-th predetermined risk level according to the water quality score of the target time period and the maximum water quality score of the M time periods, so as to obtain the water quality indices of each of the N predetermined risk levels.

[0007] According to an embodiment of the present invention, the target urban area includes a plurality of calculation units; obtaining the water quality indices of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods includes: for any i-th predetermined risk level, perform the following operations, where : Determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods; obtain the water quality score of each calculation unit within the target time period according to the water quality data of each calculation unit within the target time period, where water quality data in different concentration ranges corresponds to different water quality scores; obtain the maximum water quality score of each calculation unit within the M time periods according to the water quality data of each calculation unit within the M time periods; calculate the water quality index of each calculation unit within the target time period according to the water quality score of each calculation unit within the target time period and the maximum water quality score of each calculation unit within the M time periods, to obtain the water quality indices of each of the multiple calculation units within the target time period; calculate the water quality index of the i-th predetermined risk level according to the water quality indices of each of the multiple calculation units within the target time period, so as to obtain the water quality indices of each of the N predetermined risk levels.

[0008] According to an embodiment of the present invention, the precipitation data includes one or more of monthly total amount, rainfall per event, maximum daily rainfall, longest rainfall period, longest rainless period, maximum continuous rainfall, and number of rainfall days at different rainfall intensity thresholds.

[0009] According to an embodiment of the present invention, the sponge project design data includes one or more of runoff control rate, peak flow reduction rate, rainwater resource utilization rate, pollutant removal efficiency, pervious pavement coverage rate, and storage facility volume.

[0010] According to an embodiment of the present invention, determining the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods includes: calculating the average value and variance of the hydrological data according to the hydrological data of the target urban area within the M time periods; determining the risk level corresponding to each of the M time periods according to the hydrological data, average value, and variance.

[0011] According to an embodiment of the present invention, the N predetermined risk levels include a risk - free level, a low - risk level, a relatively low - risk level, a medium - risk level, a relatively high - risk level, and a high - risk level.

[0012] According to an embodiment of the present invention, determining the risk level corresponding to each of the M time periods according to hydrological data, an average value, and a variance includes: determining the risk level of the time period within which the hydrological data is within the range as the risk - free level, and the corresponding hydrological index is 0; determining the risk level of the time period within which the hydrological data is within the range as the low - risk level, and the corresponding hydrological index is 20%; determining the risk level of the time period within which the hydrological data is within the range as the relatively low - risk level, and the corresponding hydrological index is 40%; determining the risk level of the time period within which the hydrological data is within the range as the medium - risk level, and the corresponding hydrological index is 60%; determining the risk level of the time period within which the hydrological data is within the range as the relatively high - risk level, and the corresponding hydrological index is 80%; determining the risk level of the time period within which the hydrological data is within the range as the high - risk level, and the corresponding hydrological index is 100%; where is the average value of the hydrological data, S is the variance of the hydrological data, is the maximum value of the hydrological data.

[0013] According to an embodiment of the present invention, the water quality data includes one or more of dissolved oxygen, ammonia nitrogen, total phosphorus, and chemical oxygen demand.

[0014] According to an embodiment of the present invention, determining the resilience index of the water environment of the target urban area according to the water quality index and the hydrological index of each of the N predetermined risk levels includes: drawing a water quality - hydrology curve according to the water quality index and the hydrological index of each of the N predetermined risk levels, where the water quality - hydrology curve is a curve of the water quality index changing with the hydrological index; integrating the water quality - hydrology curve to obtain the resilience index of the water environment of the target urban area.

[0015] Another aspect of the present invention provides an apparatus for determining the resilience index of an urban water environment, comprising: a first determination module, configured to determine the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods, wherein the risk level corresponding to each time period is one of N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level value, M and N are each independently an integer greater than or equal to 1, and the hydrological data includes at least one of precipitation data and sponge project design data; an obtaining module, configured to obtain the water quality index of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods, wherein the water quality data includes the water body physical and chemical property data of the target urban area, and the water quality index is used to characterize the fluctuation degree of the water environment of the target urban area corresponding to each predetermined risk level; a second determination module, configured to determine the resilience index of the water environment of the target urban area according to the water quality index and the hydrological index of each of the N predetermined risk levels.

[0016] Another aspect of the present invention provides an electronic device, comprising: one or more processors; a memory, configured to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described above.

[0017] Another aspect of the present invention provides a computer-readable storage medium, storing computer-executable instructions, which are used to implement the method as described above when executed.

[0018] Another aspect of the present invention provides a computer program product, which includes computer-executable instructions, and the instructions are used to implement the method as described above when executed.

[0019] According to an embodiment of the present invention, at least one of precipitation data and sponge project design data (hydrological data) is selected as the influencing factor (stress) of the impact of flood pollution on the water environment of the target urban area. According to the hydrological data of the target urban area, the risk level corresponding to each time period is determined. The risk level corresponding to each time period is one of multiple predetermined risk levels, and the multiple predetermined risk levels correspond to different hydrological indices according to the risk level value, which improves the practicability and operability of the calculation results; the water body physical and chemical property data (water quality data) of the target urban area is selected as a variable, and according to the water quality data of the target urban area, the water quality index (strain) of each of the multiple predetermined risk levels is obtained; according to the water quality index and the hydrological index of each of the multiple predetermined risk levels, the resilience index of the water environment of the target urban area is determined. The resilience index of the water environment determined by the method provided by the present invention is more accurate, has strong practicability and operability, and has various application scenarios.

[0020] The method for determining the resilience index of the urban water environment provided by the embodiments of the present invention can accurately quantitatively identify the resilience of the water environment in the target urban area. By comparing the resilience indexes under different hydrological data, the key factors restricting the ability of the target urban area to cope with pollution during the flood season under the current urban ecological infrastructure can be identified, providing guidance for the optimization measures of urban construction, and having the characteristics of being simple to use and highly applicable. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Through the following description of the embodiments of the present invention with reference to the drawings, the above and other objects, features, and advantages of the present invention will become clearer. In the drawings:

[0022] Figure 1 Schematically shows an exemplary system architecture to which the method and device for determining the resilience index of the urban water environment according to the embodiments of the present invention can be applied;

[0023] Figure 2 Schematically shows a flowchart of the method for determining the resilience index of the urban water environment according to the embodiments of the present invention;

[0024] Figure 3 Schematically shows the resilience assessment results under different stress modes according to Embodiment 1 of the present invention;

[0025] Figure 4 Schematically shows the resilience improvement status under different scenario optimization conditions according to Embodiment 1 of the present invention;

[0026] Figure 5 Schematically shows a block diagram of the device for determining the resilience index of the urban water environment according to the embodiments of the present invention;

[0027] Figure 6 Schematically shows a block diagram of an electronic device suitable for implementing the method for determining the resilience index of the urban water environment according to the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] Hereinafter, the embodiments of the present invention will be described with reference to the drawings. However, it should be understood that these descriptions are exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the sake of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present invention. However, obviously, one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.

[0029] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The terms "including", "comprising" and the like used herein indicate the presence of the described features, steps, operations and / or components, but do not preclude the presence or addition of one or more other features, steps, operations or components.

[0030] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those of ordinary skill in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0031] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to the meaning commonly understood by those of ordinary skill in the art (for example, "a system having at least one of A, B, and C" should include, but is not limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C).

[0032] In the present invention, the resilience of the urban water environment can refer to the comprehensive strength of the urban water environment to respond to and recover under the pressure caused by uncertain events.

[0033] Currently, the overall quality of the urban water environment generally shows a trend of continuous improvement. However, the pollution problem during the flood season is becoming increasingly prominent, becoming a key factor restricting the further improvement of the water environment quality. Sponge cities are widely recognized in terms of water environment improvement. However, their resilience during the flood season is relatively weak, resulting in the potential of resisting flood-season pollution not being fully exerted. Therefore, it is urgent to calculate the resilience of the urban water environment in order to optimize the urban ecological infrastructure according to the resilience level of the urban water environment, so as to cope with the flood-season pollution.

[0034] In the process of implementing the inventive concept of the present invention, it is found that the time parameter can be simplified by replacing space with time, the problem of difficult determination of the time parameter can be reduced, and the diversity of application scenarios can be increased; by introducing a risk level classification method, the practicality and operability of the evaluation results can be improved; and through the calculation of the resilience index, the comparative analysis between different stress modes can be realized, and the interpretability of the calculation results can be enhanced.

[0035] Specifically, an embodiment of the present invention provides a method for determining the resilience index of an urban water environment, including the following steps: determining the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods, where the risk level corresponding to each time period is one of the N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level values, M and N are each independently an integer greater than or equal to 1, and the hydrological data includes at least one of precipitation data and sponge project design data; obtaining the water quality index of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods at the predetermined risk levels, where the water quality data at the predetermined risk levels includes the water body physical and chemical property data of the target urban area at the predetermined risk levels, and the water quality index at the predetermined risk levels is used to characterize the fluctuation degree of the water environment of the target urban area at each predetermined risk level; determining the resilience index of the water environment of the target urban area at the predetermined risk levels according to the water quality index and the hydrological index of each of the N predetermined risk levels.

[0036] Figure 1 Schematically shows an exemplary system architecture 100 to which the method and apparatus for determining the resilience index of an urban water environment according to an embodiment of the present invention can be applied. It should be noted that Figure 1 The shown is only an example of the system architecture to which the embodiments of the present invention can be applied, to help those skilled in the art understand the technical content of the present invention, but it does not mean that the embodiments of the present invention cannot be used in other devices, systems, environments or scenarios.

[0037] As Figure 1 shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used to provide a medium for communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0038] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software, etc. (only as examples).

[0039] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices with a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop computers, desktop computers, and the like.

[0040] The server 105 may be a server that provides various services. For example, it may be a background management server (only an example) that supports the websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server can analyze and process data such as user requests received, and feedback the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal devices.

[0041] It should be noted that the method for determining the resilience index of the urban water environment provided in the embodiments of the present invention can generally be executed by the server 105. Correspondingly, the device for determining the resilience index of the urban water environment provided in the embodiments of the present invention can generally be set in the server 105. The method for determining the resilience index of the urban water environment provided in the embodiments of the present invention can also be executed by a server or a server cluster different from the server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or the server 105. Correspondingly, the device for determining the resilience index of the urban water environment provided in the embodiments of the present invention can also be set in a server or a server cluster different from the server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or the server 105. Alternatively, the method for determining the resilience index of the urban water environment provided in the embodiments of the present invention can also be executed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or can also be executed by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Correspondingly, the device for determining the resilience index of the urban water environment provided in the embodiments of the present invention can also be set in the first terminal device 101, the second terminal device 102, or the third terminal device 103, or can be set in other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103.

[0042] For example, the hydrological data of the target urban area within M time periods and the water quality data of the target urban area within M time periods can be originally stored in any one of the first terminal device 101, the second terminal device 102, or the third terminal device 103 (for example, the first terminal device 101, but not limited thereto), or stored on an external storage device and can be imported into the first terminal device 101. Then, the first terminal device 101 can execute the method for determining the resilience index of the urban water environment provided by the embodiments of the present invention locally, or send the hydrological data of the target urban area within M time periods and the water quality data of the target urban area within M time periods to other terminal devices, servers, or server clusters, and the other terminal devices, servers, or server clusters that receive the hydrological data of the target urban area within M time periods and the water quality data of the target urban area within M time periods execute the method for determining the resilience index of the urban water environment provided by the embodiments of the present invention.

[0043] It should be understood that Figure 1 the numbers of the terminal devices, networks, and servers in

[0044] Figure 2 are merely illustrative. According to the implementation requirements, there can be any number of terminal devices, networks, and servers.

[0045] As Figure 2 shown, the method includes operations S100 to S300.

[0046] In operation S100, according to the hydrological data of the target urban area within M time periods, determine the risk level corresponding to each of the M time periods, where the risk level corresponding to each time period is one of N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level values. M and N are each independently an integer greater than or equal to 1, and the hydrological data includes at least one of precipitation data and sponge project design data.

[0047] In operation S200, according to the water quality data of the target urban area within M time periods, obtain the water quality indices of the N predetermined risk levels respectively, where the water quality data includes the water body physical and chemical property data of the target urban area, and the water quality index is used to characterize the degree of fluctuation of the water environment of the target urban area corresponding to each predetermined risk level.

[0048] In operation S300, determine the resilience index of the water environment of the target urban area according to the water quality indices and hydrological indices of the N predetermined risk levels respectively.

[0049] According to an embodiment of the present invention, at least one of precipitation data and sponge project design data (hydrological data) is selected as an influencing factor (stress) on the water environment of the target urban area during the flood season. According to the hydrological data of the target urban area, the risk level corresponding to each time period is determined. The risk level corresponding to each time period is one of multiple predetermined risk levels, and the multiple predetermined risk levels correspond to different hydrological indices according to the risk level values, which improves the practicality and operability of the calculation results. The physical and chemical property data of the water body in the target urban area (water quality data) is selected as a variable, and according to the water quality data of the target urban area, the water quality indices (strains) of the multiple predetermined risk levels are obtained. According to the water quality indices and hydrological indices of the multiple predetermined risk levels, the resilience index of the water environment in the target urban area is determined. The method provided by the present invention can accurately quantitatively identify the resilience of the water environment in the target urban area, with strong practicality and operability and diverse application scenarios.

[0050] According to an embodiment of the present invention, before operation S100, operation S050 may further be included. In operation S050, in response to receiving a request for determining the resilience index of the water environment in the target urban area, the hydrological data of the target urban area and the water quality data of the target urban area are obtained. The hydrological data of the target urban area includes the hydrological data of the target urban area within M time periods, and the water quality data of the target urban area includes the water quality data of the target urban area within M time periods. The hydrological data of the target urban area and / or the water quality data of the target urban area may be stored in a database, and the hydrological data and / or water quality data in the database may be divided according to time periods for subsequent processing of the hydrological data and / or water quality data.

[0051] According to an embodiment of the present invention, in operation S100, in a specific implementation process, by way of example, the M time periods may be 12 months, where each time period may be 1 month or 2 months, that is, M is 12 or 6; the M time periods may also be 6 months, where each time period may be 1 month, that is, M is 6; the M time periods may also be 24 months, where each time period may be 2 months, that is, M is 12.

[0052] According to an embodiment of the present invention, the target urban area may be an area where the resilience index of the water environment needs to be determined. By way of example, the target urban area may be multiple cities, one city, or a partial area of a city, etc. The target urban area may not include or at least include one sponge project.

[0053] According to an embodiment of the present invention, before operation S100, the relationship between the original hydrological data and water quality data can also be analyzed, including but not limited to correlation analysis, random forest, interpretable machine learning, causal inference, stratified sampling, etc., to screen out the key influencing factors in the original hydrological data and determine them as the hydrological data of the target urban area. By screening the hydrological data of the target urban area, the setting of the stress pattern is made more accurate, and the accuracy of the resilience index is improved.

[0054] According to an embodiment of the present invention, the hydrological data can be precipitation data, which can include one or more of the precipitation data. The hydrological data can also be sponge project design data, which can include one or more of the sponge project design data. The hydrological data can also include precipitation data and sponge project design data, which can include one or more of the precipitation data and can include one or more of the sponge project design data. Exemplarily, the hydrological data of the target urban area can be:

[0055] 。

[0056] Exemplarily, the precipitation data can include one or more of monthly total, rainfall per event, maximum daily rainfall, longest rain period, longest rainless period, maximum continuous rainfall, and number of rainy days at different rainfall intensity thresholds. Among them, different rainfall intensity thresholds include but are not limited to rainfall above 2 mm, rainfall above 13.5 mm, rainfall above 22.5 mm, and rainfall above 33.5 mm. Specifically, the number of rainy days at different rainfall intensity thresholds includes but is not limited to the number of rainy days above 2 mm, the number of rainy days above 13.5 mm, the number of rainy days above 22.5 mm, and the number of rainy days above 33.5 mm. Further, the number of rainy days at different rainfall intensity thresholds can be the number of rainy days at different rainfall intensity thresholds per month. The sponge project design data can be data related to sponge project design, for example, it can include one or more of runoff control rate, peak flow reduction rate, rainwater resource utilization rate, pollutant removal efficiency, pervious pavement coverage rate, and storage facility volume. Table 1 shows some hydrological data and their definitions.

[0057] Table 1

[0058]

[0059] According to an embodiment of the present invention, considering the characteristics of rainfall during the flood season, the precipitation data can be divided into two categories: short-term heavy rainfall data and long-term continuous rainfall data. Among them, the short-term heavy rainfall data can include SDII, R×1, R13.5, R22.5, R33.5, etc.; the long-term continuous rainfall data can include R2, PRCPTOT, CWD, CDD, R×n, etc.

[0060] Furthermore, the hydrological data of the target urban area may include short-term heavy rainfall data, long-term continuous rainfall data, and sponge project design data. The key influencing factors in the precipitation data can be screened using stratified sampling, and one data is randomly selected from each type of index as the hydrological data of the target urban area. Exemplarily, the hydrological data of the target urban area can be:

[0061] 。

[0062] According to an embodiment of the present invention, the magnitude of the hydrological index can characterize the risk level value, the magnitude of the risk level value can characterize the high or low risk, a predetermined risk level with a higher risk can have a higher hydrological index, and a predetermined risk level with a lower risk can have a lower hydrological index. The hydrological index can be any value. Exemplarily, the hydrological index can be any value between 0 and 100; the hydrological index can also be any value between 0 and 1 for easy analysis and comparison.

[0063] According to an embodiment of the present invention, in operation S100, in a specific implementation process, exemplarily, based on the hydrological data of the target urban area within M time periods, the minimum value and the maximum value of the hydrological data can be obtained; according to the minimum value and the maximum value, the hydrological data is equally divided into N hydrological data ranges; according to the N hydrological data ranges and the hydrological data of the target urban area within M time periods, the risk level corresponding to each of the M time periods is determined.

[0064] Another implementation method is: operation S100 includes operations S110 and S120.

[0065] In operation S110, based on the hydrological data of the target urban area within M time periods, the average value and the variance of the hydrological data are calculated.

[0066] In operation S120, based on the hydrological data, the average value, and the variance, the risk level corresponding to each of the M time periods is determined.

[0067] According to an embodiment of the present invention, the average value of the hydrological data can be any one of the arithmetic mean, geometric mean, quadratic mean, weighted mean, etc. Exemplarily, the average value of the hydrological data can be the arithmetic mean and can be calculated with reference to formula (1). The variance S of the hydrological data can be calculated with reference to formula (2).

[0068] (1)。

[0069] (2)。

[0070] Where x krepresents the hydrological data value for the k-th time period, and M represents the number of time periods.

[0071] According to an embodiment of the present invention, in operation S100, in a specific implementation process, exemplarily, the N predetermined risk levels may also be 4 predetermined risk levels, namely a risk-free level, a low-risk level, a medium-risk level, and a high-risk level; the N predetermined risk levels may also be 4 predetermined risk levels, namely a low-risk level, a relatively low-risk level, a medium-risk level, and a relatively high-risk level.

[0072] Another implementation manner is that the N predetermined risk levels may include 6 predetermined risk levels, namely a risk-free level, a low-risk level, a relatively low-risk level, a medium-risk level, a relatively high-risk level, and a high-risk level.

[0073] Thus, operation S120 includes operations S121 to S126.

[0074] In operation S121, the risk level of the time period within which the hydrological data is is determined to be a risk-free level, and the corresponding hydrological index is 0. The values within this range can indicate that the hydrological data has no impact on the water environment of the target urban area or the sponge project, and it is in an ideal state where the water environment of the target urban area can operate normally or the sponge project can function effectively.

[0075] In operation S122, the risk level of the time period within which the hydrological data is is determined to be a low-risk level, and the corresponding hydrological index is 20%. The values within this range can indicate that the hydrological data has a relatively small impact on the water environment of the target urban area or the sponge project and is within the normal fluctuation range.

[0076] In operation S123, the risk level of the time period within which the hydrological data is is determined to be a relatively low-risk level, and the corresponding hydrological index is 40%. The values within this range indicate that the hydrological data has a slightly higher impact on the water environment of the target urban area or the sponge project than the normal level, but it is still within the controllable range.

[0077] In operation S124, the risk level of the time period within which the hydrological data is is determined to be a medium-risk level, and the corresponding hydrological index is 60%. The values within this range can indicate that the hydrological data has an impact on the water environment of the target urban area or the sponge project reaching the average level and attention needs to be paid.

[0078] In operation S125, the risk level of the time period within which the hydrological data is The risk level for the time period within the range is determined as a relatively high risk level, and the corresponding hydrological index is 80%. The values within this range can indicate that the impact of this hydrological data on the water environment of the target urban area or the sponge project is significantly higher than the normal level, and corresponding measures need to be taken for intervention.

[0079] In operation S126, the hydrological data within The risk level for the time period within the range is determined as a high risk level, and the corresponding hydrological index is 100%. The values within this range indicate that the impact of this hydrological data on the water environment of the target urban area or the sponge project is extremely serious, which may lead to serious water quality deterioration or other problems, and immediate emergency measures must be taken.

[0080] Among them, is the average value of the hydrological data, S is the variance of the hydrological data, is the maximum value of the hydrological data.

[0081] According to an embodiment of the present invention, the water quality data includes the water body physical and chemical property data of the target urban area. Specifically, the water quality data may include the data of the types and quantities of impurities in the water environment of the target urban area. Exemplarily, the water quality data may include one or more of dissolved oxygen, ammonia nitrogen, total phosphorus, and chemical oxygen demand.

[0082] According to an embodiment of the present invention, the time periods corresponding to each predetermined risk level can be obtained according to operation S100; in operation S200, the water quality index corresponding to each predetermined risk level can be obtained according to the water quality data of the time periods corresponding to each predetermined risk level.

[0083] According to an embodiment of the present invention, for the risk-free level, it can be assumed that the hydrological data has no impact on the water environment of the target urban area or the sponge project. At this time, there is no change in the water environment of the target urban area or the sponge project can fully exert its efficacy, and the water quality index can be set to 0. For the high risk level, it can be assumed that the water environment of the target urban area has been severely damaged or the sponge project has deteriorated to the extent that it cannot be restored by conventional means, so it can be regarded as all deformed, and the water quality index can be set to 1.

[0084] For the water quality indices of the low risk level, relatively low risk level, medium risk level, and relatively high risk level, they can be obtained by referring to the following method. In operation S200, for any i-th predetermined risk level, where , it includes operations S211~S214.

[0085] In operation S211, determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods.

[0086] In operation S212, based on the water quality data of the target urban area within the target time period, a water quality score for the target time period is obtained, where water quality data in different concentration ranges corresponds to different water quality scores.

[0087] In operation S213, based on the water quality data of the target urban area within M time periods, the maximum water quality scores for the M time periods are obtained.

[0088] In operation S214, based on the water quality score of the target time period and the maximum water quality scores of the M time periods, the water quality index for the i-th predetermined risk level is calculated to obtain the water quality indices for each of the N predetermined risk levels.

[0089] According to an embodiment of the present invention, in operation S212, water quality data can be collected through methods such as online monitoring, laboratory analysis, portable instruments, remote sensing monitoring, etc. The water quality data can include, but is not limited to, key indicators such as dissolved oxygen (DO), ammonia nitrogen ( ), total phosphorus (TP), chemical oxygen demand, etc. Exemplarily, the chemical oxygen demand can be characterized by the permanganate index ( ), or can also be characterized by the dichromate index ( ). The collected data can be preprocessed, including but not limited to removing outliers, filling in missing values, and standardization processing, etc., to ensure the quality and consistency of the data. The water quality scores and weights can be determined based on methods such as the literature analysis method by uniformly dividing thresholds in stages. Specifically, see Table 2, which schematically shows typical water quality scores and weights.

[0090] Table 2

[0091]

[0092] The water quality scores can also be obtained through normalization processing according to national standards, and the calculation method refers to formula (3).

[0093] (3).

[0094] Where C j is the water quality score of water quality data j, t j is the actual measured value of water quality data j, t min,j and t max,j are respectively the minimum and maximum allowable values of water quality data j within M time periods.

[0095] According to an embodiment of the present invention, the weight of each water quality data can be determined according to the importance of the indicator and the degree of influence on water quality, including but not limited to the expert scoring method, the analytic hierarchy process, or other multi-criteria decision-making methods.

[0096] According to an embodiment of the present invention, in operation S212, the water quality score and the maximum water quality score for each predetermined risk level can be calculated with reference to formula (4).

[0097] (4).

[0098] Wherein, is the water quality score of the i-th predetermined risk level, and C j is the water quality score of water quality data j; P j is the weight corresponding to water quality data j.

[0099] The change in the water quality score calculated with reference to formula (5) can be regarded as the water quality index of the urban water environment and used as a contingency:

[0100] (5).

[0101] Wherein, WQI max is the maximum water quality score within M time periods.

[0102] According to an embodiment of the present invention, the target urban area includes a plurality of calculation units. The plurality of calculation units can be determined according to the geographical information and regional drainage plan of the target urban area. Exemplarily, the target urban area can be divided into a plurality of calculation units according to topographic features, population density, drainage paths, etc., to ensure the consistency within each calculation unit and the differences outside. Each calculation unit can have a clear boundary. Each calculation unit may not contain or contain at least one sponge project for subsequent analysis.

[0103] As another implementation manner, in operation S200, for any i-th predetermined risk level, wherein, , operations S221 to S225 can also be included.

[0104] In operation S221, determine at least one target time period corresponding to the i-th predetermined risk level among M time periods.

[0105] In operation S222, according to the water quality data of each calculation unit within the target time period, obtain the water quality score of each calculation unit within the target time period, wherein water quality data in different concentration ranges correspond to different water quality scores.

[0106] In operation S223, according to the water quality data of each calculation unit within M time periods, obtain the maximum water quality score of each calculation unit within M time periods.

[0107] In operation S224, based on the water quality scores of each computing unit within the target time period and the maximum water quality scores of each computing unit within M time periods, calculate the water quality index of each computing unit within the target time period, obtaining the water quality indices of multiple computing units within the target time period respectively.

[0108] In operation S225, calculate the water quality index of the i-th predetermined risk level based on the water quality indices of multiple computing units within the target time period respectively, so as to obtain the water quality indices of N predetermined risk levels respectively.

[0109] According to an embodiment of the present invention, in operation S300, in the specific implementation process, exemplarily, the resilience indices of each predetermined risk level can be calculated respectively to obtain N resilience indices; then, the N resilience indices are weighted and summed to obtain the resilience index of the water environment in the target urban area.

[0110] Another implementation manner is that operation S300 includes S310 and S320.

[0111] In operation S310, based on the water quality indices and hydrological indices of N predetermined risk levels respectively, draw a water quality - hydrological curve, where the water quality - hydrological curve is a curve of the water quality index changing with the hydrological index.

[0112] In operation S320, integrate the drawn water quality - hydrological curve to obtain the resilience index of the water environment in the target urban area.

[0113] According to an embodiment of the present invention, with reference to formula (6), the drawn water quality - hydrological curve can be integrated or the trapezoidal rule can be used to calculate the area under the curve (AUC) of each performance metric.

[0114] (6).

[0115] Wherein, a and b represent the upper and lower limit values of the hydrological index; N is the number of predetermined risk levels; represents the corresponding water quality index when the hydrological index is x; represents when the hydrological index is the corresponding water quality index; represents when the hydrological index is the corresponding water quality index, where x and n are variables.

[0116] According to an embodiment of the present invention, the larger the resilience index, the lower the resilience of the water environment in the target urban area; the smaller the resilience index, the higher the resilience of the water environment in the target urban area. In order to further improve the explanatory power of the resilience index and realize the comparative analysis between different modes, the resilience index can be normalized to obtain the normalized resilience index (Res). The larger the normalized resilience index, the higher the resilience of the water environment in the target urban area. Specifically, the normalization process can refer to formula (7).

[0117] (7).

[0118] According to an embodiment of the present invention, the hydrological data includes multiple groups of hydrological sub-data, where each group of hydrological sub-data includes different hydrological data; according to the multiple groups of hydrological sub-data, using the above method for determining the resilience index of the urban water environment, the resilience indexes of the water environments in multiple target urban areas are obtained. The method for determining the resilience index of the urban water environment provided by the embodiment of the present invention can quantitatively identify the resilience of the water environment in the target urban area. By comparing the resilience indexes under different hydrological data, the key factors restricting the ability of the target urban area to cope with pollution during the flood season can be identified, providing guidance for the optimization measures of urban construction.

[0119] According to an embodiment of the present invention, the hydrological data of the target urban area can include the measured hydrological data of the target urban area, and the resilience index calculated based on the measured hydrological data of the target urban area can characterize the resilience background of the water environment in the target urban area under different pressure conditions (hydrological data). The urban construction can be optimized based on the calculation result of the current resilience level of the water environment in the target urban area to cope with pollution during the flood season.

[0120] According to an embodiment of the present invention, the hydrological data of the target urban area can also include the predicted or simulated hydrological data of the target urban area. Optimization measures for different failure modes can be set, including but not limited to increasing the capacity of the reservoir, improving the sewer system, implementing an intelligent rainwater management system, increasing the permeable pavement area, optimizing the green space design, etc., and corresponding optimization scenarios can be constructed; the performance of the urban water environment under different urban construction optimization scenarios can be simulated, and the change in the resilience index before and after the implementation of the optimization measures can be calculated using the method for determining the resilience index of the urban water environment provided by the embodiment of the present invention to determine the improvement effect of the optimization measures on the water environment resilience, thereby evaluating the effectiveness of the optimization measures and determining the optimal combination of optimization measures, so as to help optimize the anti-pollution resilience of the target urban area or sponge project at the engineering design level, with the characteristics of being simple to use and highly applicable. The advantage of the embodiment of the present invention lies in being able to provide a more comprehensive and practical calculation and optimization method, enhancing the anti-risk ability and recovery ability of the water environment system, and improving the actual application effect of the method.

[0121] According to an embodiment of the present invention, in combination with the stress characteristics of the target urban area (which may include sponge projects), the time parameter is simplified into one of the independent stress modes, and then an evaluation method for the resilience of the target urban area to flood pollution prevention and control under different regional precipitation conditions is determined, and a plan for enhancing the resilience of the target urban area construction to flood pollution prevention and control is proposed. Through precipitation data and sponge project design data, the key factors restricting the target urban area's ability to resist flood pollution can be identified, and the improvement effects of these factors on the water environment resilience can be evaluated and simulated, thereby helping to enhance the prevention and control resilience of the target urban area at the engineering design level. This method has the advantages of simple operation, comprehensive consideration of regional climate and urban construction characteristics, and is applicable to large-scale spatio-temporal analysis.

[0122] According to an embodiment of the present invention, the design data of the sponge project to be optimized can be determined based on the resilience index of the water environment in the target urban area; according to the design data of the sponge project to be optimized, an optimized flood pollution plan can be determined, and the optimized flood pollution plan is a plan for enhancing the resilience of the target urban area construction to flood pollution prevention and control; the optimized flood pollution plan is executed to enhance the resilience index of the water environment in the target urban area. Optionally, according to the design data of the sponge project to be optimized, optimization measures can be set for different hydrological data to determine the optimized flood pollution plan. The optimized flood pollution plan includes, but is not limited to, increasing the capacity of the reservoir, improving the sewer system, implementing an intelligent rainwater management system, increasing the permeable pavement area, optimizing the green space design, etc.

[0123] The following specific embodiments are listed to illustrate the technical solutions of the present invention in detail. It should be noted that the specific embodiments below are only for illustration and do not limit the present invention.

[0124] Embodiment 1

[0125] In this embodiment, a typical plain river network area is used as the test site. Based on the online water quality observation data, 248 rivers are selected, and the urban water environment is used as the receiving water body to analyze the baseline situation of the urban water environment resilience and the resilience improvement level under various typical optimization scenarios, and the proposed methodology is experimentally verified.

[0126] (1) Based on factors such as terrain characteristics, drainage paths, population density, etc., and combined with geographic information system technology and regional drainage planning, ensure the consistency within each evaluation unit and the difference outside. Finally, the research area in this embodiment is subdivided into 41 evaluation units, and each unit contains one or more sponge projects for subsequent analysis.

[0127] (2) Collect and record meteorological and hydrological data such as rainfall. In this embodiment, precipitation data (monthly total, rainfall per event, maximum daily rainfall, longest rainfall period, longest rainless period, maximum consecutive rainfall, number of days with rainfall above 2 mm, number of days with rainfall above 13.5 mm, number of days with rainfall above 22.5 mm, number of days with rainfall above 33.5 mm) and sponge project design data (runoff control rate) are selected as the limiting factors for the sponge project to cope with pollution during the flood season. See Table 1 above for details.

[0128] (3) Analyze the relationship between influencing factors and strain. In this embodiment, stratified sampling is used to screen key influencing factors. Considering the characteristics of rainfall during the flood season, precipitation indices are divided into two categories: short-term heavy rainfall and long-term continuous rainfall. At the same time, considering the design parameters of the sponge project, there are a total of 3 types of stress.

[0129] Short-term heavy rainfall: SDII, R×1, R13.5, R22.5, R33.5, etc.

[0130] Long-term continuous rainfall: including R2, PRCPTOT, CWD, CDD, R×n, etc.

[0131] Sponge project design parameters: Runoff control, etc.

[0132] Finally, randomly select one index from each type of index as stress, which are respectively:

[0133] 。

[0134] (4) Select one from various stresses that may affect the urban water environment for detailed analysis. In this embodiment, the selected stress modes include CWD and R13.5, as well as key indicators such as Runoff control. According to historical data, calculate the average value of the key indicators under the selected stress mode according to formulas (1) and (2) and standard deviation S.

[0135] According to the calculated average value and standard deviation, divide the influence degree of stress into 6 levels.

[0136] Risk-free level: The values within this range indicate that this stress has no impact on the sponge project and is in an ideal state where the sponge project can function normally, denoted as stress = 0%.

[0137] Low-risk level: The values within this range indicate that this stress has a relatively small impact on the sponge project and is within the normal fluctuation range, denoted as stress = 20%.

[0138] Lower risk level: Values within this range indicate that the impact of this stress on the sponge project is slightly higher than the normal level, but still within the controllable range, denoted as stress = 40%.

[0139] Medium risk level: Values within this range indicate that the impact of this stress on the urban water environment reaches the average level and attention needs to be paid, denoted as stress = 60%.

[0140] Higher risk level: Values within this range indicate that the impact of this stress on the sponge project is significantly higher than the normal level, and corresponding measures need to be taken for intervention, denoted as stress = 80%.

[0141] High risk level: Values within this range indicate that the impact of this stress on the sponge project is extremely severe, which may lead to serious water quality deterioration or other problems, and immediate emergency measures must be taken, denoted as stress = 100%.

[0142] (5) Within each evaluation unit, ensure that water quality monitoring data for at least one year before and after the sponge project is put into use are collected. Based on the online monitored water quality data, calculate the water quality score for each time period with reference to the above formula (4) and Table 2, and calculate its change degree according to the above formula (5) as the water quality index for each time period, that is, strain, to evaluate the resilience index of the sponge project. Finally, classify the strain by plot and establish the topological relationship between the strain and the target sponge project.

[0143] The strain calculation is divided into 6 levels. The strain of the 2nd - 5th levels is calculated with reference to the above method. At the same time, it is assumed that the sponge project under the stress of the 1st level is not affected. At this time, the sponge project can fully exert its efficiency, so the strain should be 0. For the 6th level, it is assumed that the sponge project has deteriorated to the extent that it cannot be restored by conventional means, so it is regarded as fully deformed, and the strain is 1 at this time; Without specific improvement measures, calculate the resilience background index of the urban water environment under different stress conditions. In this embodiment, the upper and lower quartiles are used to display the uncertainty of the results to better express the fluctuation range and confidence level of the data. Based on stress and strain, construct a continuous strain - stress (f(x) - x) curve, and calculate the area under the curve of each performance metric using the trapezoidal rule with reference to formula (6).

[0144] To further reflect the role of different measures in enhancing resilience, the normalized value is used to represent Res with reference to formula (7). The larger the exponent, the higher the resilience.

[0145] First, calculate Res for the three cases. The results are shown in Figure 3 , Figure 3 Schematically shows the resilience assessment results under different stress modes according to Embodiment 1 of the present invention. Among them, (a) is the resilience assessment result under the R13.5 stress mode, (b) is the resilience assessment result under the CWD stress mode, (c) is the resilience assessment result under the Runoff control stress mode, max-min represents the maximum - minimum value, and mean represents the average value.

[0146] (6) According to the design data of the sponge project to be optimized, set optimization measures for different stresses and determine the optimized flood - season pollution plan. Determining the optimized flood - season pollution plan includes, but is not limited to, increasing the capacity of the reservoir, improving the sewer system, implementing an intelligent rainwater management system, increasing the permeable pavement area, optimizing the green space design, etc., and constructing corresponding optimization scenarios; classify stresses from low to high according to their impact on the urban water environment. For example, a mild short - term heavy rainfall is defined as a first - level stress, while a long - term continuous heavy rainfall may be defined as a higher - level stress; for each level of stress, design and gradually implement corresponding optimization measures; after each optimization measure is implemented, recalculate the strain. Strain reflects the impact degree of the optimization measure on the urban water environment. Ideally, through effective optimization measures, the deformation value should be close to zero, indicating that the water quality index remains stable or improves; when the strain is 0 or reaches the expected optimal state, calculate the urban water environment resilience index under this stress.

[0147] Scenario 1: Engineering measures for CWD.

[0148] Step 1: Set a series of assumed engineering measures, such as increasing the capacity of the reservoir, improving the sewer system, or implementing an intelligent rainwater management system, to relieve the pressure during CWD.

[0149] Step 2: Simulate the performance of the system during CWD after implementing each measure. Pay special attention to whether the system can maintain an effective state (i.e., strain = 0) under different CWD lengths.

[0150] Step 3: Analyze and compare the efficiency of these measures in enhancing resilience, find the optimal combination of engineering measures, and under what CWD conditions these measures can most effectively enhance resilience.

[0151] Scenario 2: Measures for R13.5.

[0152] Step 1: Similarly, for the number of days with precipitation greater than 13.5 mm, design and assume a series of strategies, such as increasing the area of permeable pavement and optimizing the green space design to enhance the rainwater absorption capacity.

[0153] Step 2: Simulate the impact of these measures on the system resilience, especially the system performance when the rainfall exceeds the threshold, to evaluate under what criteria it can effectively improve the resilience.

[0154] Scenario 3: Maintenance and upgrade of sponge city.

[0155] Step 1: Assume the maintenance and upgrade strategies for sponge city facilities, including regular inspections, cleaning, replacement of aging components, and sponge transformation of new areas.

[0156] Step 2: Based on different runoff control rates (such as 50%, 70%, 90%, etc.), analyze how these maintenance and upgrade measures affect the resilience. Evaluate the system's response ability to various weather events under different control rates.

[0157] By simulating the urban water environment performance under different optimization scenarios, calculate the change in Res before and after the implementation of the optimization measures, so as to evaluate the effectiveness of the measures and determine the optimal combination of optimization plans. After scenario assumption, the resilience improvement status under each scenario can be obtained. See Figure 4 , Figure 4 Schematically shows the resilience improvement status under different scenario optimization conditions according to Embodiment 1 of the present invention. Among them, (a) is the resilience improvement status under the optimization conditions of Scenario 2, (b) is the resilience improvement status under the optimization conditions of Scenario 1, and (c) is the resilience improvement status under the optimization conditions of Scenario 3.

[0158] Figure 4 The Res in (a) shows a convex upward trend, which indicates that as long as the medium-intensity rainfall situation in a short period is considered in the design, the Res of the research area can be effectively improved, and the urban resilience of the local area can be effectively improved. Short-term medium-intensity rainfall response technology (mainly based on gray facilities).

[0159] 1) Enhance rainwater infiltration facilities: Increase facilities such as permeable pavement, bioretention ponds, and rain gardens in urban design. These facilities can quickly absorb and store rainwater in a short period, reduce surface runoff, and prevent waterlogging.

[0160] 2) Rapid response drainage system: Upgrade the existing drainage system, add temporary storage ponds or regulating ponds to quickly discharge the excess rainwater generated by medium-intensity rainfall in a short period.

[0161] Figure 4(b)'s Res shows a concave upward trend, indicating that long-term continuous rainfall needs to be considered in the subsequent sponge city design to effectively improve Res and solve the problem of the ineffective period of the sponge city in this region. Long-term continuous rainfall response technology (mainly green facilities and blue facilities).

[0162] 1) Enhance underground water storage capacity: Design large underground reservoirs and deep infiltration facilities to cope with long-term rainfall and ensure that there is enough space to store rainwater without causing surface waterlogging.

[0163] 2) Green roofs and vertical greening: Promote green roofs and wall greening, increase the urban greening coverage rate, extend the residence time of rainwater on the urban surface, and gradually release it to the ground or evaporate to reduce the pressure on the drainage system during continuous rainfall.

[0164] 3) Optimize the sponge system: Optimize the sponge city design to ensure effective connection between individual sponges (such as parks, roads, communities, etc.) to form a networked rainwater management system and improve the overall storage and regulation capacity of the system.

[0165] Figure 4 (c)'s Res shows a concave upward trend, which may indicate that the construction of sponge cities with a high runoff control rate has a greater effect on improving the city's Res. In the future period, it is necessary to strengthen the plots with a high runoff control rate to significantly improve the resilience of this region. Application of high runoff control rate technology.

[0166] 1) Application of high-strength permeable materials: In high runoff areas such as urban roads and squares, use new materials with high permeability for paving to quickly absorb and infiltrate rainwater.

[0167] 2) Ecological ditches and wetland systems: Construct or optimize ecological ditches and wetland systems in the city. These natural systems have high runoff control capabilities, can effectively treat a large amount of rainwater, and provide ecosystem services at the same time.

[0168] 3) Smart sponge city technology: Use technologies such as the Internet of Things and big data to real-time monitor the runoff control effect of sponge facilities, and dynamically adjust the layout and management strategies of sponge facilities according to the actual rainwater management situation to ensure the sustainability and effectiveness of high runoff control rate.

[0169] Figure 5 A block diagram of a device for determining the resilience index of an urban water environment according to an embodiment of the present invention is schematically shown.

[0170] As Figure 5 shown, the device 500 for determining the resilience index of an urban water environment includes a first determination module 510, an acquisition module 520, and a second determination module 530.

[0171] The first determination module 510 is configured to determine the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods, where the risk level corresponding to each time period is one of N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level values. M and N are each independently an integer greater than or equal to 1. The hydrological data includes at least one of precipitation data and sponge project design data.

[0172] The acquisition module 520 is configured to obtain the water quality indices of the N predetermined risk levels respectively according to the water quality data of the target urban area within the M time periods, where the water quality data includes the water body physical and chemical property data of the target urban area, and the water quality index is used to characterize the degree of fluctuation of the water environment of the target urban area corresponding to each predetermined risk level.

[0173] The second determination module 530 is configured to determine the resilience index of the water environment of the target urban area according to the water quality indices and hydrological indices of the N predetermined risk levels respectively.

[0174] According to an embodiment of the present invention, the first determination module 510 includes a first calculation sub-module and a first determination sub-module. Among them, the first calculation sub-module is configured to calculate the average value and variance of the hydrological data according to the hydrological data of the target urban area within the M time periods; the first determination sub-module is configured to determine the risk level corresponding to each of the M time periods according to the hydrological data, the average value and the variance.

[0175] According to an embodiment of the present invention, the N predetermined risk levels include a risk-free level, a low-risk level, a relatively low-risk level, a medium-risk level, a relatively high-risk level, and a high-risk level.

[0176] According to an embodiment of the present invention, the first determination sub-module includes a first determination unit, a second determination unit, a third determination unit, a fourth determination unit, a fifth determination unit, and a sixth determination unit. Among them, the first determination unit is configured to determine the risk level of the time period within the range of the hydrological data as the risk-free level, and the corresponding hydrological index is 0; the second determination unit is configured to determine the risk level of the time period within the range of the hydrological data as the low-risk level, and the corresponding hydrological index is 20%; the third determination unit is configured to determine the risk level of the time period within the range of the hydrological data as the relatively low-risk level, and the corresponding hydrological index is 40%; the fourth determination unit is configured to determine the risk level of the time period within the range of the hydrological data as the medium-risk level, and the corresponding hydrological index is 60%; the fifth determination unit is configured to determine the risk level of the time period within the The risk level for the time period within the range is determined as a relatively high risk level, and the corresponding hydrological index is 80%; the sixth determination unit is configured to use the hydrological data within The risk level for the time period within the range is determined as a high risk level, and the corresponding hydrological index is 100%; wherein, is the average value of the hydrological data, S is the variance of the hydrological data, is the maximum value of the hydrological data.

[0177] According to an embodiment of the present invention, the obtaining module 520 includes a second determination sub-module, a first obtaining sub-module, a second obtaining sub-module, and a second calculation sub-module. The second determination sub-module is configured to determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods, where ; the first obtaining sub-module is configured to obtain the water quality score of the target time period according to the water quality data of the target urban area within the target time period, where the water quality data in different concentration ranges corresponds to different water quality scores; the second obtaining sub-module is configured to obtain the maximum water quality score of the M time periods according to the water quality data of the target urban area within the M time periods; the second calculation sub-module is configured to calculate the water quality index of the i-th predetermined risk level according to the water quality score of the target time period and the maximum water quality score of the M time periods, so as to obtain the water quality indexes of the N predetermined risk levels respectively.

[0178] According to an embodiment of the present invention, the target urban area includes a plurality of calculation units.

[0179] According to an embodiment of the present invention, the obtaining module 520 includes a third determination sub-module, a third obtaining sub-module, a fourth obtaining sub-module, a third calculation sub-module, and a fourth calculation sub-module. The third determination sub-module is configured to determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods, where, ; the third obtaining sub-module is configured to obtain the water quality score of each calculation unit within the target time period according to the water quality data of each calculation unit within the target time period, where the water quality data in different concentration ranges corresponds to different water quality scores; the fourth obtaining sub-module is configured to obtain the maximum water quality score of each calculation unit within the M time periods according to the water quality data of each calculation unit within the M time periods; the third calculation sub-module is configured to calculate the water quality index of each calculation unit within the target time period according to the water quality score of each calculation unit within the target time period and the maximum water quality score of each calculation unit within the M time periods, so as to obtain the water quality indexes of the plurality of calculation units within the target time period respectively; the fourth calculation sub-module is configured to calculate the water quality index of the i-th predetermined risk level according to the water quality indexes of the plurality of calculation units within the target time period, so as to obtain the water quality indexes of the N predetermined risk levels respectively.

[0180] Any number of modules, sub-modules, units, and sub-units according to embodiments of the present invention, or at least part of the functions of any of them, may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to embodiments of the present invention may be split into multiple modules for implementation. Any one or more of the modules, sub-modules, units, and sub-units according to embodiments of the present invention may be at least partially implemented as a hardware circuit, such as a field-programmable gate array (FPGA), programmable logic array (PLA), system-on-chip, system-on-substrate, system-on-package, application-specific integrated circuit (ASIC), or may be implemented by any other reasonable way of integrating or packaging circuits, or implemented in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, one or more of the modules, sub-modules, units, and sub-units according to embodiments of the present invention may be at least partially implemented as a computer program module, and when the computer program module runs, it can execute the corresponding functions.

[0181] For example, any number of the first determination module 510, the acquisition module 520, and the second determination module 530 may be combined and implemented in one module / unit / sub-unit, or any one of the module / unit / sub-unit may be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units may be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to embodiments of the present invention, at least one of the first determination module 510, the acquisition module 520, and the second determination module 530 may be at least partially implemented as a hardware circuit, such as a field-programmable gate array (FPGA), programmable logic array (PLA), system-on-chip, system-on-substrate, system-on-package, application-specific integrated circuit (ASIC), or may be implemented by any other reasonable way of integrating or packaging circuits, or implemented in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, at least one of the first determination module 510, the acquisition module 520, and the second determination module 530 may be at least partially implemented as a computer program module, and when the computer program module runs, it can execute the corresponding functions.

[0182] It should be noted that the data processing system part in the embodiments of the present invention corresponds to the data processing method part in the embodiments of the present invention. For the description of the data processing system part, please refer to the data processing method part specifically, and details are not described herein again.

[0183] Figure 6A block diagram of an electronic device suitable for implementing a method for determining a resilience index of an urban water environment according to an embodiment of the present invention is schematically shown. Figure 6 The electronic device shown is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present invention.

[0184] As Figure 6 shown, the electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage section 608 into a random access memory (RAM) 603. The processor 601 can include, for example, a general microprocessor (such as a CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (such as an application-specific integrated circuit (ASIC)), and so on. The processor 601 can also include on-board memory for caching purposes. The processor 601 can include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0185] In the RAM 603, various programs and data required for the operation of the electronic device 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flow according to an embodiment of the present invention by executing the programs in the ROM 602 and / or the RAM 603. It should be noted that the programs can also be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 can also perform various operations of the method flow according to an embodiment of the present invention by executing the programs stored in the one or more memories.

[0186] According to an embodiment of the present invention, the electronic device 600 may further include an input / output (I / O) interface 605, and the input / output (I / O) interface 605 is also connected to the bus 604. The electronic device 600 may further include one or more of the following components connected to the input / output (I / O) interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the input / output (I / O) interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read from it can be installed into the storage section 608 as needed.

[0187] According to an embodiment of the present invention, the method flow according to the embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the above-described system, device, apparatus, module, unit, etc. can be implemented by computer program modules.

[0188] The present invention also provides a computer-readable storage medium, which can be included in the device / device / system described in the above embodiment; or can exist alone without being assembled into the device / device / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0189] According to an embodiment of the present invention, the computer-readable storage medium can be a non-volatile computer-readable storage medium. For example, it can include but is not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, device, or device.

[0190] For example, according to an embodiment of the present invention, the computer-readable storage medium can include the above-described ROM 602 and / or RAM 603 and / or one or more memories other than ROM 602 and RAM 603.

[0191] An embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program includes program code for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the method for determining the resilience index of the urban water environment provided by the embodiment of the present invention.

[0192] When the computer program is executed by the processor 601, the above functions defined in the system / apparatus of the embodiments of the present invention are executed. According to the embodiments of the present invention, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0193] In one embodiment, the computer program can rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program can also be transmitted and distributed in the form of signals on a network medium, and be downloaded and installed through the communication part 609, and / or be installed from the removable medium 611. The program code included in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0194] According to the embodiments of the present invention, the program code for executing the computer program provided by the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedures and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include but are not limited to, such as Java, C++, python, the "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, by using an Internet service provider to connect through the Internet).

[0195] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions. Those skilled in the art will appreciate that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.

[0196] The embodiments of the present invention have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments have been described separately above, this does not mean that the measures in each embodiment cannot be used advantageously in combination. Without departing from the scope of the present invention, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should fall within the scope of the present invention.

Claims

1. A method for determining the resilience index of an urban water environment, characterized in that, Including the following steps: Based on the hydrological data of the target urban area in M time periods, determine the risk level corresponding to each of the M time periods, where the risk level corresponding to each time period is one of N predetermined risk levels, and the N predetermined risk levels correspond to N different hydrological indices according to the risk level values. M and N are each independently integers greater than or equal to 1. The hydrological data includes at least one of precipitation data and sponge project design data; Based on the water quality data of the target urban area in the M time periods, obtain the water quality indices of the N predetermined risk levels respectively, where the water quality data includes the physical and chemical property data of the water body in the target urban area, and the water quality index is used to characterize the fluctuation degree of the water environment in the target urban area corresponding to each of the predetermined risk levels; Based on the water quality indices and the hydrological indices of the N predetermined risk levels respectively, determine the resilience index of the water environment in the target urban area.

2. The method for determining the resilience index of the urban water environment according to claim 1, wherein Obtaining the water quality index of each of the N predetermined risk levels based on the water quality data of the target urban area in M time periods includes performing the following operations for any of the i-th predetermined risk levels, where : Determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods; Based on the water quality data of the target urban area in the target time period, obtain the water quality score of the target time period, where the water quality data in different concentration ranges corresponds to different water quality scores; Based on the water quality data of the target urban area in the M time periods, obtain the maximum water quality score of the M time periods; Calculate the water quality index of the i-th predetermined risk level based on the water quality score of the target time period and the maximum water quality score of the M time periods, so as to obtain the water quality indices of the N predetermined risk levels respectively.

3. The method for determining the resilience index of the urban water environment according to claim 1, characterized in that, The target urban area includes multiple calculation units; The obtaining the water quality indices of the N predetermined risk levels respectively based on the water quality data of the target urban area in the M time periods includes: For any i-th predetermined risk level, perform the following operations, where :[[]]END]] Determine at least one target time period corresponding to the i-th predetermined risk level among the M time periods; Based on the water quality data of each calculation unit in the target time period, obtain the water quality score of each calculation unit in the target time period, where the water quality data in different concentration ranges corresponds to different water quality scores; Based on the water quality data of each calculation unit in the M time periods, obtain the maximum water quality score of each calculation unit in the M time periods; Based on the water quality score of each calculation unit in the target time period and the maximum water quality score of each calculation unit in the M time periods, calculate the water quality index of each calculation unit in the target time period, and obtain the water quality indices of multiple calculation units in the target time period respectively; Calculate the water quality index of the i-th predetermined risk level based on the water quality indices of multiple calculation units in the target time period respectively, so as to obtain the water quality indices of the N predetermined risk levels respectively.

4. The method for determining the resilience index of the urban water environment according to claim 1, characterized in that, The precipitation data includes one or more of monthly total amount, rainfall per event, maximum daily rainfall, longest rainfall period, longest rainless period, maximum continuous rainfall, and number of rainy days at different rainfall intensity thresholds; The sponge project design data includes one or more of runoff control rate, peak flow reduction rate, rainwater resource utilization rate, pollutant removal efficiency, pervious pavement coverage rate, and storage facility volume.

5. The method for determining the resilience index of the urban water environment according to claim 1, characterized in that, Determining the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area includes: Calculating the average value and variance of the hydrological data according to the hydrological data of the target urban area within the M time periods; Determining the risk level corresponding to each of the M time periods according to the hydrological data, the average value, and the variance.

6. The method for determining the resilience index of the urban water environment according to claim 5, characterized in that The N predetermined risk levels include a risk-free level, a low-risk level, a relatively low-risk level, a medium-risk level, a relatively high-risk level, and a high-risk level; Determining the risk level corresponding to each of the M time periods according to the hydrological data, the average value, and the variance includes: Determine the risk level of the time period within which the hydrological data is as the risk-free level, and the corresponding hydrological index is 0; Determine the risk level of the time period within which the hydrological data is within as the low risk level, and the corresponding hydrological index is 20%; Determine the risk level of the time period within which the hydrological data is within as the lower risk level, and the corresponding hydrological index is 40%; Determine the risk level of the time period within which the hydrological data is as the medium risk level, and the corresponding hydrological index is 60%; Determine the risk level of the time period within which the hydrological data is as the higher risk level, and the corresponding hydrological index is 80%; Determine the risk level of the time period within which the hydrological data is as the high risk level, and the corresponding hydrological index is 100%; wherein, is the average value of the hydrological data, S is the variance of the hydrological data, is the maximum value of the hydrological data.

7. The method for determining the resilience index of the urban water environment according to claim 1, wherein The water quality data includes one or more of dissolved oxygen, ammonia nitrogen, total phosphorus, and chemical oxygen demand.

8. The method for determining the resilience index of the urban water environment according to any one of claims 1 to 7, characterized in that, Determining the resilience index of the water environment of the target urban area according to the water quality index and the hydrological index of each of the N predetermined risk levels includes: Drawing a water quality-hydrology curve according to the water quality index and the hydrological index of each of the N predetermined risk levels, where the water quality-hydrology curve is a curve of the water quality index changing with the hydrological index; Integrating the water quality-hydrology curve to obtain the resilience index of the water environment of the target urban area.

9. An apparatus for determining the resilience index of an urban water environment, characterized in that, Including: A first determination module, configured to determine the risk level corresponding to each of the M time periods according to the hydrological data of the target urban area within the M time periods, where the risk level corresponding to each time period is one of the N predetermined risk levels, the N predetermined risk levels correspond to N different hydrological indices according to the risk level values, M and N are each independently an integer greater than or equal to 1, and the hydrological data includes at least one of precipitation data and sponge project design data; An obtaining module, configured to obtain the water quality index of each of the N predetermined risk levels according to the water quality data of the target urban area within the M time periods, where the water quality data includes the water body physical and chemical property data of the target urban area, and the water quality index is used to characterize the fluctuation degree of the water environment of the target urban area corresponding to each of the predetermined risk levels; A second determination module, configured to determine the resilience index of the water environment of the target urban area according to the water quality index and the hydrological index of each of the N predetermined risk levels.

10. An electronic device, including: One or more processors; A memory, configured to store one or more programs, wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

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