Water resource accessibility determination method and device, medium and equipment

By calculating the distance obstacles and target distance thresholds in water body remote sensing image data and kilometer grid data, and calculating the water resource accessibility index, the problem of poor accuracy of existing water resource accessibility determination methods is solved, and more accurate is achieved water accessibility assessment.

CN119443476AActive Publication Date: 2025-02-14WUHAN UNIV

Patent Information

Application Number
CN202411426944.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-14
Publication Date
2025-02-14
Estimated Expiration
2044-10-14

AI Technical Summary

Technical Problem

The existing methods for determining accessibility of water resources are poor in accuracy and cannot effectively evaluate accessibility of water resources.

Method used

By obtaining remote sensing image data of water bodies and kilometer grid data, the distance obstacle between the data points and the water bodies is calculated, the target distance threshold is determined, and the water resource accessibility index is calculated based on the distance obstacle and threshold, and the water resource accessibility evaluation is determined. result.

Benefits of technology

It improves the accuracy of water resource accessibility determination, enables more accurate assessment of accessibility of water bodies of different levels, and supports scientific water resource management and policy formulation.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119443476A_ABST
    Figure CN119443476A_ABST
Patent Text Reader

Abstract

The invention discloses a water resource accessibility determination method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring water body remote sensing image data, and grading the water body remote sensing image data to obtain different grades of water body remote sensing image data; obtaining kilometer grid data, and performing data extraction in the kilometer grid data to obtain a point data set; calculating distance hindrance between each data point in the point data set and each level of water body; determining a target distance threshold; calculating a water resource accessibility index of each grade of water body based on the distance obstruction and the target distance threshold; and determining a water resource accessibility evaluation result based on the accessibility index. According to the method, the calculation accuracy of the water resource accessibility can be improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the field of geographic information science application technology, and in particular to a method, device, storage medium and electronic device for determining water resource accessibility. Background Art

[0002] As an indispensable natural resource for urban development, water resources are of fundamental significance to supporting human survival and promoting social and economic development. With the rapid advancement of urbanization and industrialization in China, the demand for water resources in cities is increasing. The multi-faceted impact of water resources on the economy cannot be ignored: first, water resources are one of the basic elements of agricultural production. In areas with abundant water resources, agricultural production conditions are more favorable, thus driving the development of related industries and regional economic growth; second, water resources are also crucial for industrial production, especially in areas with intensive heavy industry and manufacturing industries. The accessibility of water resources directly affects the operating efficiency and production costs of factories; in addition, the adequacy and quality of water resources can improve the living standards of residents and promote social stability and economic development.

[0003] Exploring water resource accessibility has important practical significance and far-reaching impact. Ensuring that everyone has access to adequate, safe and affordable drinking water is essential to protecting basic human rights and public health. Adequate and safe water supply can prevent the spread of water-related diseases, improve the overall health level of the community, and support the sustainable development of various economic activities such as agriculture, industry and energy production. Understanding the distribution and utilization of water resources will help to formulate scientific water resource management policies, prevent over-exploitation and pollution of water resources, and protect the balance and health of ecosystems. Climate change has a significant impact on the distribution and accessibility of water resources. Exploring water resource accessibility can help predict and respond to water resource challenges brought about by climate change and enhance the adaptive capacity of society. In addition, water resource management is an important responsibility of national and local governments. By exploring the accessibility of water resources, scientific basis can be provided for policymakers to support effective water resource management and infrastructure planning. Unequal distribution of water resources may lead to social injustice and conflict. Studying water resource accessibility can help discover and solve the inequality in water resource distribution and promote social stability and harmony. In summary, exploring water resource accessibility is not only related to the quality of life and health of individuals, but also has important significance for social and economic development, environmental protection, policy making and social equity.

[0004] At present, there are many methods for evaluating the spatial accessibility of water resources. The traditional method for determining water resource accessibility only determines the category of pixels based on the spectral characteristics of the objects, and the accuracy of this classification method is poor. Summary of the invention

[0005] The embodiments of the present application provide a method, device, storage medium and electronic device for determining water resource accessibility, which can improve the accuracy of determining water resource accessibility.

[0006] The present application provides a method for determining water resource accessibility, including: Acquiring water body remote sensing image data, and classifying the water body remote sensing image data to obtain water body remote sensing image data of different grades; Acquire kilometer grid data, and extract data from the kilometer grid data to obtain a point data set; Calculate the distance barrier between each data point in the point data set and each level of water body; Determine target distance threshold; Calculate the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold; A water resource accessibility evaluation result is determined based on the accessibility index.

[0007] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of obtaining kilometer grid data and extracting data from the kilometer grid data to obtain a point data set includes: constructing a fishing net, the fishing net comprising a plurality of grids; Constructing a point vector layer, and marking the center point of each grid in the fishing net through the point vector layer; The kilometer grid data is obtained, the numerical information in each grid in the kilometer grid data is extracted, and a value is assigned according to the center point of each grid to obtain a point data set.

[0008] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of calculating the distance barrier between each data point in the point data set and each level of water body comprises: When the data point is in the water body, the distance barrier is 0; When the data point is outside the water body, the Euclidean distance between the data point and each edge point of the water body is calculated, and the minimum Euclidean distance is determined as the distance barrier.

[0009] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of calculating the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold comprises: The water resource accessibility index is calculated by the accessibility formula, which is:

[0010]

[0011] in, Represents the water resource accessibility index of a point to water bodies of different levels, is a function of distance obstacle and distance obstacle coefficient, Indicates distance obstruction. Indicates the water level. Represents the distance obstruction coefficient of water bodies of different levels.

[0012] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of determining a water resource accessibility evaluation result based on the accessibility index comprises: The reachability evaluation result is calculated by a first formula, where the first formula is:

[0013] in, It indicates the accessibility evaluation result of the point in that year.

[0014] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of determining the target distance threshold comprises: Preset several experimental distance thresholds, and calculate the corresponding water resource accessibility index according to different experimental distance thresholds; To evaluate the differentiation effect of water resource accessibility index corresponding to different experimental distance thresholds; The experimental distance threshold corresponding to the best differentiation effect is determined as the target distance threshold.

[0015] The present application also provides a water resource accessibility determination device, including: The first acquisition and processing module is used to acquire water body remote sensing image data and classify the water body remote sensing image data to obtain water body remote sensing image data of different grades; The second acquisition and processing module is used to acquire kilometer grid data and extract data from the kilometer grid data to obtain a point data set; A first calculation module is used to calculate the distance obstacles between each data point in the point data set and each level of water body; A first determination module, used to determine a target distance threshold; A second calculation module, used for calculating the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold; The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

[0016] An embodiment of the present application also provides a computer-readable storage medium, in which a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to execute any of the above-mentioned methods for determining water resource accessibility.

[0017] An embodiment of the present application also provides an electronic device, including a processor and a memory, wherein the processor is electrically connected to the memory, the memory is used to store instructions and data, and the processor is used for the steps in any of the above-mentioned methods for determining water resource accessibility.

[0018] The water resource accessibility determination method, device, storage medium and electronic device provided in the present application can improve the calculation accuracy of water resource accessibility by classifying water bodies, setting different target distance thresholds for water bodies of different levels, and calculating the water resource accessibility index of water bodies of different levels according to different target distance thresholds. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The technical solution and other beneficial effects of the present application will be made apparent by describing in detail the specific implementation methods of the present application in conjunction with the accompanying drawings.

[0020] Figure 1 A flow chart of a method for determining water resource accessibility provided in an embodiment of the present application.

[0021] Figure 2 Another flow chart of the method for determining water resource accessibility provided in an embodiment of the present application.

[0022] Figure 3 A box plot of the water resource accessibility index provided in an embodiment of the present application.

[0023] Figure 4 This is a schematic diagram of the evaluation results of water bodies at various levels within 4000 meters provided in this embodiment.

[0024] Figure 5 A schematic diagram of the structure of a device for determining water resource accessibility provided in an embodiment of the present application.

[0025] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0026] Figure 7 Another schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0028] At present, there are many different methods for evaluating the spatial accessibility of water resources. One is to construct an accessibility evaluation system by only considering the difficulty of "from the demand point to the supply point"; the other is to evaluate the continuous accessibility of the water network in the study area by network analysis based on the water network and weighting by objective weighting method. However, the first method is more subjective in confirming the demand point and supply point, and lacks consideration of the water body level; the second method is difficult to obtain the water network at an earlier time and cannot use a large-scale research time range. However, when calculating the accessibility score, it is considered that as the distance increases, its impact on the accessibility of water resources presents a nonlinear change: at a longer distance, this impact gradually becomes less significant; but at a closer distance, its impact is more prominent. This change conforms to the image characteristics of the exponential function.

[0029] To solve the above problems, the embodiments of the present application provide a method, device, storage medium and electronic device for determining water resource accessibility. The device for determining water resource accessibility provided in the embodiments of the present application can be integrated in an electronic device, which can be a terminal, a server and other devices, wherein the terminal can include a tablet computer, a laptop computer, a personal computer (PC), a micro processing box, or other devices.

[0030] See also Figure 1 and 2 , Figure 1 A flow chart of a method for determining water resource accessibility provided in an embodiment of the present application, Figure 2 Another flow chart of a method for determining water resource accessibility provided in an embodiment of the present application, which is applied to an electronic device, the method for determining water resource accessibility comprises the following steps: S1, acquiring water body remote sensing image data, and classifying the water body remote sensing image data to obtain water body remote sensing image data of different levels.

[0031] Among them, water body remote sensing image data can be downloaded from the "JRC (Joint Research Center ofEuropean Commission) Monthly Water History, v1.4" surface reservoir in GEE. The image data in the surface reservoir has only one band, which contains three values: 0 (no data), 1 (non-water body), and 2 (water body). Generally speaking, in order to ensure that the surface water bodies obtained are stable, only pixels that have been judged as water bodies for at least 7 months are selected, and the detected water bodies are divided into three levels according to the continuity: 7-8 months are classified as level 3 water bodies, 9-11 months are classified as level 2 water bodies, and pixels that are continuously detected as water bodies throughout the year are classified as level 1 water bodies.

[0032] S2, obtaining kilometer grid data, and extracting data from the kilometer grid data to obtain a point data set.

[0033] In one embodiment, step S2 comprises the following steps: S21, constructing a fishing net, where the fishing net includes a plurality of grids.

[0034] Specifically, a fishing net was constructed using ArcGIS (GIS platform), and the size of each grid in the fishing net was set to 1000 m × 1000 m.

[0035] S22, construct a point vector layer, and mark the center point of each grid in the fishing net through the point vector layer.

[0036] S23, obtaining kilometer grid data, extracting numerical information in each grid in the kilometer grid data, and assigning values ​​according to the center point of each grid to obtain a point data set.

[0037] S3, calculate the distance barrier between each data point in the point data set and each level of water body.

[0038] Specifically, when the data point is within the water body, the distance barrier is 0; when the data point is outside the water body, the Euclidean distance between the data point and each edge point of the water body is calculated, and the minimum Euclidean distance is determined as the distance barrier.

[0039] S4, determining a target distance threshold.

[0040] In one embodiment, step S4 includes the following steps: S41 presets a number of experimental distance thresholds, and calculates corresponding water resource accessibility indexes according to different experimental distance thresholds; S42, evaluate the differentiation effect of water resource accessibility index corresponding to different experimental distance thresholds; S43, determining the experimental distance threshold corresponding to the best differentiation effect as the target distance threshold.

[0041] The determination of distance thresholds is generally based on the specific research object. For example, when studying the living circles of urban residents, researchers can select different distance thresholds for residents to walk for 15 minutes, 30 minutes, and 45 minutes. The purpose of using multiple distance thresholds is to compare the differentiation effects of different distance thresholds in subsequent analysis, which helps to reduce the errors caused by subjective judgment and enhance the accuracy and reliability of statistical analysis.

[0042] The heterogeneity effect is usually determined based on the descriptive statistics and box plots of the calculation results. Descriptive statistics usually include indicators such as minimum, maximum, mean, and standard deviation. The heterogeneity effect can be used to measure the degree to which a set of data deviates from the mean. A good heterogeneity effect indicates that the data distribution has a high diversity. In order to ensure that researchers can effectively use the calculated water resource accessibility indicators for in-depth analysis, it is necessary to select a distance threshold that shows the best heterogeneity effect. Such a choice will help improve the accuracy of the analysis.

[0043] S5, calculating the water resource accessibility index of each level of water bodies based on the distance barrier target distance threshold.

[0044] The water resource accessibility index is calculated using the accessibility formula, which is:

[0045]

[0046] in, Represents the water resource accessibility index of a point to water bodies of different levels, is a function of distance obstacle and distance obstacle coefficient, Indicates distance obstruction. Indicates the water level. Represents the distance obstruction coefficient of water bodies of different levels.

[0047] The relationship between the distance barrier coefficient and the distance threshold is: when the distance barrier is less than the distance threshold, the accessibility score will decrease rapidly as the distance barrier increases, that is, the slope of the exponential function is greater than 1; when the distance barrier is greater than the distance threshold, the rate of decrease of the accessibility score will slow down, that is, the slope of the exponential function is less than 1; in view of the rapid growth characteristics of the exponential function in its positive part, with each increase in the water body level, The value is increased by 1 only.

[0048] S6. Determine the water resources accessibility evaluation result based on the accessibility index.

[0049] The accessibility evaluation result is calculated by the first formula, which is:

[0050] in, It indicates the accessibility evaluation result of the point in that year.

[0051] The following is a specific example to illustrate the method for determining water resource accessibility: (1) Remote sensing data of all water bodies within the Yangtze River Middle Reaches urban agglomeration were obtained in 2000, 2005, 2010, 2015 and 2019, and classified according to the time when the pixels were identified as water bodies, obtaining primary, secondary and tertiary water bodies.

[0052] (2) The GDP data of the urban districts in the middle reaches of the Yangtze River were downloaded from the Chinese Academy of Sciences Data Center, and a fishing net was created to obtain a point dataset, which contained 55,294 data points. The point dataset was visualized to obtain the urban district scope and water body map.

[0053] (3) Use the “Near” tool in ArcGIS to calculate the closest distance from each point in the point dataset to each level of water body in 2000, 2005, 2010, 2015, and 2019.

[0054] (4) Based on the distance threshold and distance obstacle coefficient The relationship between the distance and the average walking speed of 4km / h was used to determine the distance threshold for the third-level water body water resource accessibility score.

[0055] Specifically, the walkable distances within 10 minutes, 30 minutes and 1 hour were used as the experimental distance thresholds for the third-level water body accessibility score, and the water resource accessibility index at each kilometer point in 2000 was calculated. Descriptive statistics and box plots were drawn for the water resource accessibility index in the Statistical Products and Services Solutions Software (SPSS). The descriptive statistical results are shown in Table 1. Figure 3 A box plot of the water resource accessibility index provided in an embodiment of the present application.

[0056] Table 1 Descriptive statistics of the three groups of water resource accessibility index (retain three decimal places)

[0057] exist Figure 3 In the figure, box plots of the water resource accessibility index with 10-minute, 30-minute and 1-hour walking distances as the experimental distance thresholds are shown, arranged from left to right. The span between the upper and lower edges of the box plot is the key to measuring the differentiation effect. The wider this distance is, the more significant the differentiation of the data is, which means that the diversity of the data distribution is higher. Through comparative analysis, combined with the data in Table 1, when the 1-hour walking distance is used as the distance threshold, the differentiation effect of the water resource accessibility index is most significant. Therefore, in this embodiment, the distance that can be walked within 1 hour, that is, 4000 meters, is selected as the target distance threshold for evaluating the third-level water body accessibility score.

[0058] (5) The water resource accessibility index is calculated based on the determined target distance threshold and distance barrier coefficient. The obtained water resource accessibility index is shown in Table 2. Figure 4 This is a schematic diagram of the evaluation results of water bodies at all levels within 4000 meters provided in this embodiment. Based on the water resource accessibility index of each level of water bodies in Table 2, the annual water resource accessibility evaluation results are calculated.

[0059] Table 2 Water resource accessibility index

[0060] The present invention realizes a method for estimating the spatial accessibility of water resources at the kilometer grid scale using an exponential function, which can efficiently estimate the water resource accessibility index of each kilometer point in the study area based on the water body grade, remote sensing image data and distance barrier coefficient for the target area and target time range. After inspection, the present invention sets different distance barrier coefficients for water bodies of different grades, which overcomes the disadvantage of the traditional method of not dividing the water body grade, and the service range of the supply point is accurately subdivided; the present method directly uses remote sensing image data and the exponential function accessibility calculation formula to obtain the spatial distribution results of water accessibility within the study range, which overcomes the disadvantage of the traditional method of calculating the accessibility according to the water network at a small time scale. The exponential function water accessibility estimation method established by the present invention plays an important role in measuring the spatial distribution of the water accessibility index in the study area, and provides a useful reference for future related policy formulation and urban planning.

[0061] According to the method described in the above embodiment, this embodiment will be further described from the perspective of a water resource accessibility determination device, which can be implemented as an independent entity or integrated in an electronic device, which can be a terminal, server and other devices, wherein the terminal can include a tablet computer, a laptop computer, a personal computer (PC), a micro processing box, or other devices.

[0062] See also Figure 5 , Figure 5 The water resource accessibility determination device provided in the embodiment of the present application is specifically described, and is applied to an electronic device. The water resource accessibility determination device may include: The first acquisition and processing module is used to acquire water body remote sensing image data and classify the water body remote sensing image data to obtain water body remote sensing image data of different levels; The second acquisition and processing module is used to acquire kilometer grid data and extract data from the kilometer grid data to obtain a point data set; The first calculation module is used to calculate the distance obstacles between each data point in the point data set and each level of water body; A first determination module, used to determine a target distance threshold; The second calculation module is used to calculate the water resource accessibility index of each level of water bodies based on the distance barrier target distance threshold; The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

[0063] During specific implementation, the above modules and / or units can be implemented as independent entities, or can be arbitrarily combined to be implemented as the same or several entities. The specific implementation of the above modules and / or units can refer to the previous method embodiments. The specific beneficial effects that can be achieved can also refer to the beneficial effects in the previous method embodiments, which will not be repeated here.

[0064] In addition, the embodiment of the present application also provides an electronic device, which may be a computer, a tablet computer, or other device. Figure 6 As shown, the electronic device 400 includes a processor 401 and a memory 402. The processor 401 is electrically connected to the memory 402.

[0065] The processor 401 is the control center of the electronic device 400. It uses various interfaces and lines to connect various parts of the entire electronic device. It executes various functions of the electronic device and processes data by running or loading applications stored in the memory 402 and calling data stored in the memory 402, thereby monitoring the electronic device as a whole.

[0066] In this embodiment, the processor 401 in the electronic device 400 loads instructions corresponding to the processes of one or more application programs into the memory 402 according to the following steps, and the processor 401 runs the application programs stored in the memory 402 to implement various functions: Acquiring water body remote sensing image data, and classifying the water body remote sensing image data to obtain water body remote sensing image data of different grades; Acquire kilometer grid data, and extract data from the kilometer grid data to obtain a point data set; Calculate the distance barrier between each data point in the point data set and each level of water body; Determine target distance threshold; Calculate the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold; A water resource accessibility evaluation result is determined based on the accessibility index.

[0067] The electronic device can implement the steps in any embodiment of the method for determining water resource accessibility provided in the embodiments of the present application. Therefore, it can achieve the beneficial effects that can be achieved by any method for determining water resource accessibility provided in the embodiments of the present invention. Please refer to the previous embodiments for details and will not be repeated here.

[0068] Figure 7The specific structural block diagram of the electronic device provided in the embodiment of the present invention is shown, and the electronic device can be used to implement the water resource accessibility determination method provided in the above embodiment. The electronic device 500 can be a terminal, a server, etc., wherein the terminal can include a tablet computer, a notebook computer, a personal computer (PC), a micro processing box, or other devices.

[0069] The RF circuit 510 is used to receive and send electromagnetic waves, realize the mutual conversion between electromagnetic waves and electrical signals, and thus communicate with a communication network or other devices. The RF circuit 510 may include various existing circuit elements for performing these functions, such as antennas, radio frequency transceivers, digital signal processors, encryption / decryption chips, user identity module (SIM) cards, memories, etc. The RF circuit 510 can communicate with various networks such as the Internet, corporate intranets, wireless networks, or communicate with other devices through wireless networks. The above-mentioned wireless networks may include cellular telephone networks, wireless local area networks, or metropolitan area networks. The above-mentioned wireless networks may use various communication standards, protocols and technologies, including but not limited to Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), Wideband Code Division Multiple Access (WCDMA), Code Division Access (CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (Wi-Fi) (such as Institute of Electrical and Electronics Engineers standards IEEE 802.11a, IEEE 802.11b, IEEE802.11g and / or IEEE802.11n), Voice over Internet Protocol (VoIP), Worldwide Interoperability for Microwave Access (Wi-Max), other protocols for email, instant messaging and short messages, and any other suitable communication protocols, even those that have not yet been developed.

[0070] The memory 520 can be used to store software programs and modules, such as the corresponding program instructions / modules in the above embodiments. The processor 580 executes various functional applications and data processing by running the software programs and modules stored in the memory 520, that is, realizing the functions of taking pictures with the front camera, processing the captured images, and switching the display color of the display content on the display screen. The memory 520 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 520 may further include a memory remotely arranged relative to the processor 580, and these remote memories may be connected to the electronic device 500 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0071] The input unit 530 may be used to receive input digital or character information, and generate a keyboard and a mouse related to user settings and function control.

[0072] The display unit 540 may be used to display information input by the user or information provided to the user and various graphical user interfaces, which may be composed of graphics, text, icons, videos, and any combination thereof. The display unit 540 may include a display panel 541, which may be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like.

[0073] The audio circuit 560, the speaker 561, and the microphone 562 can provide an audio interface between the user and the electronic device 500. The audio circuit 560 can transmit the electrical signal converted from the received audio data to the speaker 561, which is converted into a sound signal for output; on the other hand, the microphone 562 converts the collected sound signal into an electrical signal, which is received by the audio circuit 560 and converted into audio data, and then the audio data is output to the processor 580 for processing, and then sent to another terminal through the RF circuit 510, or the audio data is output to the memory 520 for further processing. The audio circuit 560 may also include an earplug jack to provide communication between an external headset and the electronic device 500.

[0074] The electronic device 500 can help the user receive requests, send information, etc. through the transmission module 570 (such as a Wi-Fi module), which provides the user with wireless broadband Internet access. Although the transmission module 570 is shown in the figure, it can be understood that it is not a necessary component of the electronic device 500 and can be omitted as needed without changing the essence of the invention.

[0075] The processor 580 is the control center of the electronic device 500. It uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing software programs and / or modules stored in the memory 520, and calling data stored in the memory 520, it executes various functions of the electronic device 500 and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 580 may include one or more processing cores; in some embodiments, the processor 580 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem processor mainly processes wireless communications. It can be understood that the above-mentioned modem processor may not be integrated into the processor 580.

[0076] The electronic device 500 also includes a power supply 590 (such as a battery) for supplying power to various components. In some embodiments, the power supply can be logically connected to the processor 580 through a power management system, so that the power management system can manage charging, discharging, and power consumption management. The power supply 590 can also include any components such as one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators.

[0077] Although not shown, the electronic device 500 also includes a camera (such as a front camera, a rear camera), a Bluetooth module, etc., which will not be described in detail here. Specifically in this embodiment, the display unit of the electronic device is a touch screen display, and the mobile terminal also includes a memory, and one or more programs, wherein one or more programs are stored in the memory, and are configured to be executed by one or more processors. One or more programs include instructions for performing the following operations: Acquiring water body remote sensing image data, and classifying the water body remote sensing image data to obtain water body remote sensing image data of different grades; Acquire kilometer grid data, and extract data from the kilometer grid data to obtain a point data set; Calculate the distance barrier between each data point in the point data set and each level of water body; Determine target distance threshold; Calculate the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold; A water resource accessibility evaluation result is determined based on the accessibility index.

[0078] In specific implementation, the above modules can be implemented as independent entities, or can be arbitrarily combined and implemented as the same or several entities. The specific implementation of the above modules can be found in the previous method embodiments, which will not be repeated here.

[0079] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling related hardware through instructions, and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, an embodiment of the present invention provides a storage medium, which stores multiple instructions, and the instructions can be loaded by a processor to execute the steps of any embodiment of the water resource accessibility determination method provided in the embodiment of the present invention.

[0080] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0081] Since the instructions stored in the storage medium can execute the steps in any embodiment of the water resource accessibility determination method provided in the embodiments of the present invention, the beneficial effects that can be achieved by any water resource accessibility determination method provided in the embodiments of the present invention can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0082] The above is a detailed introduction to a method, device, storage medium and electronic device for determining water resource accessibility provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for determining water resource accessibility, characterized in that: The method comprises: Acquiring water body remote sensing image data, and classifying the water body remote sensing image data to obtain water body remote sensing image data of different grades; Acquire kilometer grid data, and extract data from the kilometer grid data to obtain a point data set; Calculate the distance barrier between each data point in the point data set and each level of water body; Determine target distance threshold; Calculate the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold; A water resource accessibility evaluation result is determined based on the accessibility index.

2. The method for determining water resource accessibility according to claim 1, characterized in that: The step of obtaining kilometer grid data and extracting data from the kilometer grid data to obtain a point data set includes: constructing a fishing net, the fishing net comprising a plurality of grids; Constructing a point vector layer, and marking the center point of each grid in the fishing net through the point vector layer; The kilometer grid data is obtained, the numerical information in each grid in the kilometer grid data is extracted, and a value is assigned according to the center point of each grid to obtain a point data set.

3. The method for determining water resource accessibility according to claim 1, characterized in that: The calculating of the distance barrier between each data point in the point data set and each level of water body comprises: When the data point is in the water body, the distance barrier is 0; When the data point is outside the water body, the Euclidean distance between the data point and each edge point of the water body is calculated, and the minimum Euclidean distance is determined as the distance barrier.

4. The method for determining water resource accessibility according to claim 1, characterized in that: The calculating of the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold comprises: The water resource accessibility index is calculated by the accessibility formula, which is: in, Represents the water resource accessibility index of a point to water bodies of different levels, is a function of distance obstacle and distance obstacle coefficient, Indicates distance obstruction. Indicates the water level. Represents the distance obstruction coefficient of water bodies of different levels.

5. The method for determining water resource accessibility according to claim 4, characterized in that: The determining of the water resources accessibility evaluation result based on the accessibility index comprises: The reachability evaluation result is calculated by a first formula, where the first formula is: in, It indicates the accessibility evaluation result of the point in that year.

6. The method for determining water resource accessibility according to claim 1, characterized in that: Determining the target distance threshold comprises: Preset several experimental distance thresholds, and calculate the corresponding water resource accessibility index according to different experimental distance thresholds; To evaluate the differentiation effect of water resource accessibility index corresponding to different experimental distance thresholds; The experimental distance threshold corresponding to the best differentiation effect is determined as the target distance threshold.

7. A device for determining water resource accessibility, characterized in that: include: The first acquisition and processing module is used to acquire water body remote sensing image data and classify the water body remote sensing image data to obtain water body remote sensing image data of different grades; The second acquisition and processing module is used to acquire kilometer grid data and extract data from the kilometer grid data to obtain a point data set; A first calculation module is used to calculate the distance obstacles between each data point in the point data set and each level of water body; A first determination module, used to determine a target distance threshold; A second calculation module, used for calculating the water resource accessibility index of each level of water body based on the distance obstacle and the target distance threshold; The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the method for determining water resource accessibility according to any one of claims 1 to 6.

9. An electronic device, characterized in that: It includes a processor and a memory, the processor is electrically connected to the memory, the memory is used to store instructions and data, and the processor is used to execute the steps in the water resource accessibility determination method described in any one of claims 1 to 6.

Citation Information

Patent Citations

  • Pretreatment method for improving cigarette adaptability of tobacco stems

    CN101589846A

  • Greenway line selection method and device, electronic equipment and medium

    CN117273476A

  • Model construction method, water body extraction method and system, electronic equipment and medium

    CN117935071A

  • Biodiversity assessment methods

    JP7420901B1

  • Method for early warning analysis of eutrophication of designed artificial water body

    US20170004236A1

Cited By

  • Ploughing plot water network accessibility analysis method and electronic equipment

    CN122066193A

  • Farmland plot water network accessibility analysis method and electronic device

    CN122066193B