A method, device, medium and equipment for determining water resource accessibility

Abstract

This application discloses a method, device, storage medium, and electronic device for determining water resource accessibility. The method includes: acquiring water body remote sensing image data, and grading the water body remote sensing image data to obtain water body remote sensing image data of different grades; acquiring kilometer grid data, and performing data extraction in the kilometer grid data to obtain a point data set; calculating the distance barrier between each data point in the point data set and each grade of water body; determining a target distance threshold; calculating the water resource accessibility index of each grade of water body based on the distance barrier and the target distance threshold; and determining a water resource accessibility evaluation result based on the accessibility index. This application can improve the calculation accuracy of water resource accessibility.

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 importance in supporting human survival and promoting socioeconomic development. With the rapid advancement of urbanization and industrialization in China, cities are increasingly demanding water resources. The multifaceted impacts of water resources on the economy cannot be ignored. First, water resources are a fundamental element of agricultural production. Regions with abundant water resources offer superior agricultural production conditions, driving the development of related industries and regional economic growth. Second, water resources are also crucial for industrial production, especially in areas with a high concentration of heavy industry and manufacturing. Water accessibility directly impacts factory operating efficiency and production costs. Furthermore, sufficient and high-quality water resources can improve residents' living standards and promote social stability and economic development.

[0003] Exploring water accessibility has significant practical significance and far-reaching implications. Ensuring access to sufficient, safe, and affordable drinking water for all is essential for protecting basic human rights and public health. Adequate and safe water supplies prevent the spread of waterborne diseases, improve overall community health, and support the sustainable development of diverse economic activities, including agriculture, industry, and energy production. Understanding the distribution and utilization of water resources helps formulate sound water management policies, prevent overexploitation and pollution, and protect the balance and health of ecosystems. Climate change has a significant impact on the distribution and accessibility of water resources. Exploring water accessibility helps predict and address water challenges brought about by climate change and enhances society's adaptive capacity. Furthermore, water resource management is a key responsibility of national and local governments. Exploring water accessibility can provide policymakers with a scientific basis to support effective water resource management and infrastructure planning. Unequal water resource distribution can lead to social injustice and conflict. Studying water accessibility can help identify and address inequalities in water resource distribution and promote social stability and harmony. In summary, exploring water accessibility is not only relevant to individual quality of life and health but also has important implications for socioeconomic development, environmental protection, policymaking, and social equity.

[0004] Currently, there are many different methods for assessing the spatial accessibility of water resources. Traditional methods for determining water resource accessibility only use the spectral characteristics of ground objects to determine the category of pixels, which has poor accuracy. 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] This embodiment of the present application provides a method for determining water resource accessibility, including:

[0007] Acquiring water body remote sensing image data, and grading the water body remote sensing image data to obtain water body remote sensing image data of different grades;

[0008] Acquire kilometer grid data, and perform data extraction in the kilometer grid data to obtain a point data set;

[0009] Calculating the distance barrier between each data point in the point data set and each level of water body;

[0010] Determine target distance threshold;

[0011] Calculating the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold;

[0012] A water resource accessibility evaluation result is determined based on the accessibility index.

[0013] 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 may include:

[0014] constructing a fishing net, wherein the fishing net comprises a plurality of grids;

[0015] Constructing a point vector layer, and marking the center point of each grid in the fishing net through the point vector layer;

[0016] Obtain kilometer grid data, extract numerical information in each grid in the kilometer grid data, and assign values ​​according to the center point of each grid to obtain a point data set.

[0017] 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 includes:

[0018] When the data point is within a body of water, the distance barrier is 0;

[0019] 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.

[0020] 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 barrier and the target distance threshold comprises:

[0021] The water resource accessibility index is calculated using the accessibility formula, which is:

[0022]

[0023]

[0024] in, It represents the water resource accessibility index of a certain point to water bodies of different levels, is a function consisting of distance barrier and distance barrier coefficient, Indicates distance obstruction. Indicates the water level, Indicates the distance obstruction coefficient of water bodies of different levels.

[0025] 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 includes:

[0026] The reachability evaluation result is calculated using a first formula, which is:

[0027]

[0028] in, Indicates the accessibility evaluation result of the point in that year.

[0029] Furthermore, in the above-mentioned method for determining water resource accessibility, the step of determining the target distance threshold comprises:

[0030] Several experimental distance thresholds are preset, and the corresponding water resource accessibility index is calculated according to different experimental distance thresholds;

[0031] Evaluate the differentiation effect of water resource accessibility index corresponding to different experimental distance thresholds;

[0032] The experimental distance threshold corresponding to the best differentiation effect is determined as the target distance threshold.

[0033] The present application also provides a device for determining water resource accessibility, including:

[0034] 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;

[0035] 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;

[0036] 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;

[0037] A first determining module is used to determine a target distance threshold;

[0038] A second calculation module is used to calculate the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold;

[0039] The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

[0040] An embodiment of the present application also provides a computer-readable storage medium, in which a plurality of instructions are stored. The instructions are suitable for being loaded by a processor to execute any of the above-mentioned methods for determining water resource accessibility.

[0041] 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 to perform the steps in any of the above-mentioned methods for determining water resource accessibility.

[0042] The present application provides a method, device, storage medium, and electronic device for determining water resource accessibility. The present application classifies water bodies into grades, sets different target distance thresholds for water bodies of different grades, and calculates the water resource accessibility index of water bodies of different grades based on different target distance thresholds, thereby improving the calculation accuracy of water resource accessibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The following detailed description of the specific embodiments of the present application in conjunction with the accompanying drawings will make the technical solutions and other beneficial effects of the present application apparent.

[0044] Figure 1 This is a flow chart of a method for determining water resource accessibility provided in an embodiment of the present application.

[0045] Figure 2 Another flow chart of the method for determining water resource accessibility provided in an embodiment of the present application.

[0046] Figure 3 A box plot of the water resource accessibility index provided in an embodiment of the present application.

[0047] Figure 4 This is a schematic diagram of the evaluation results of water bodies at various levels within 4000 meters provided in this embodiment.

[0048] Figure 5 A schematic diagram of the structure of a water resource accessibility determination device provided in an embodiment of the present application.

[0049] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0050] Figure 7 Another structural schematic diagram of the electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0052] Currently, there are numerous methods for assessing the spatial accessibility of water resources. One approach considers only the difficulty of traversing from demand points to supply points to construct an accessibility assessment system. Another approach uses network analysis based on water networks and objective weighting methods to assess the continuous accessibility of water networks within a study area. However, the first approach is subjective in identifying demand and supply points and lacks consideration of water body hierarchy. The second approach struggles to capture water networks from earlier periods and cannot be used for large-scale research timeframes. However, when calculating accessibility scores, it is important to consider that the impact of increasing distance on water resource accessibility exhibits a nonlinear change: at longer distances, the effect becomes less significant, but at closer distances, the impact becomes more pronounced. This change is consistent with the graphical characteristics of an exponential function.

[0053] To address the above issues, 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 embodiments of the present application can be integrated into an electronic device, such as a terminal or server. The terminal can include a tablet computer, laptop computer, personal computer (PC), microprocessor, or other device.

[0054] See also Figure 1 and 2 , Figure 1 This is 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, includes the following steps:

[0055] 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.

[0056] Water remote sensing imagery data can be downloaded from the "JRC (Joint Research Center of European Commission) Monthly Water History, v1.4" surface reservoir data in GEE. Surface reservoir imagery data consists of a single band containing three values: 0 (no data), 1 (non-water body), and 2 (water body). Generally, to ensure stable surface water bodies, only pixels identified as water bodies for at least seven months are selected. Detected water bodies are then categorized into three levels based on their persistence: Level 3 for 7-8 months, Level 2 for 9-11 months, and Level 1 for pixels detected continuously throughout the year.

[0057] S2, obtain kilometer grid data, and extract data from the kilometer grid data to obtain a point dataset.

[0058] In one embodiment, step S2 includes the following steps:

[0059] S21, constructing a fishing net, where the fishing net includes a plurality of grids.

[0060] 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.

[0061] S22, construct a point vector layer, and mark the center point of each grid in the fishing net through the point vector layer.

[0062] S23, obtaining kilometer grid data, extracting numerical information from each grid in the kilometer grid data, and assigning values ​​according to the center point of each grid to obtain a point data set.

[0063] S3, calculate the distance barrier between each data point in the point data set and each level of water body.

[0064] 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.

[0065] S4, determining a target distance threshold.

[0066] In one embodiment, step S4 includes the following steps:

[0067] S41 presets several experimental distance thresholds, and calculates corresponding water resource accessibility indexes according to different experimental distance thresholds;

[0068] S42, evaluate the differentiation effect of water resource accessibility index corresponding to different experimental distance thresholds;

[0069] S43, determining the experimental distance threshold corresponding to the best differentiation effect as the target distance threshold.

[0070] The determination of distance thresholds is generally based on the specific research subject. For example, when studying the living circles of urban residents, researchers might choose distances of 15, 30, and 45 minutes as different distance thresholds. The purpose of using multiple distance thresholds is to compare the differentiation effects of different distance thresholds in subsequent analyses. This helps reduce errors caused by subjective judgment and enhances the accuracy and reliability of statistical analysis.

[0071] The heterogeneity effect is typically determined based on descriptive statistics and box plots of the calculated results. Descriptive statistics typically include indicators such as minimum, maximum, mean, and standard deviation. The heterogeneity effect measures the degree to which a set of data deviates from the mean. Good heterogeneity indicates a high degree of diversity in the data distribution. To ensure that researchers can effectively utilize the calculated water accessibility indicators for in-depth analysis, it is important to select a distance threshold that exhibits the best heterogeneity effect. This choice will help improve the accuracy of the analysis.

[0072] S5, calculating the water resource accessibility index of each level of water bodies based on the distance barrier target distance threshold.

[0073] The water resource accessibility index is calculated using the accessibility formula, which is:

[0074]

[0075]

[0076] in, It represents the water resource accessibility index of a certain point to water bodies of different levels, is a function consisting of distance barrier and distance barrier coefficient, Indicates distance obstruction. Indicates the water level, Indicates the distance obstruction coefficient of water bodies of different levels.

[0077] 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; given the rapid growth characteristic of the exponential function in its positive part, as the water body level increases by one level, The value is increased by 1 only.

[0078] S6. Determine the water resource accessibility evaluation result based on the accessibility index.

[0079] The accessibility evaluation result is calculated by the first formula, which is:

[0080]

[0081] in, Indicates the accessibility evaluation result of the point in that year.

[0082] The following is a specific example to illustrate the method for determining water resource accessibility:

[0083] (1) Remote sensing data of all water bodies within the urban agglomeration in the middle reaches of the Yangtze River were obtained in 2000, 2005, 2010, 2015 and 2019, and classified according to the time when the pixels were identified as water bodies, obtaining first-level, second-level and third-level water bodies.

[0084] (2) We downloaded kilometer-grid GDP data for the urban areas of the middle reaches of the Yangtze River from the Chinese Academy of Sciences data center and created a fishing net to obtain a point dataset containing 55,294 data points. We visualized the point dataset to obtain a map of the urban areas and water bodies.

[0085] (3) Use the “Near” tool in ArcGIS to calculate the closest distance from each point in the point dataset to each level of water bodies in 2000, 2005, 2010, 2015, and 2019.

[0086] (4) According to the distance threshold and distance obstruction coefficient The relationship between the average walking speed of 4km / h and the distance threshold for the third-level water resource accessibility score was determined.

[0087] Specifically, we used the distances that can be walked within 10 minutes, 30 minutes, and 1 hour as the experimental distance thresholds for the third-level water body accessibility score, and calculated the water resource accessibility index for each kilometer point in 2000. We also performed descriptive statistics and drew box plots on the water resource accessibility index using 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.

[0088] Table 1 Descriptive statistics of the three groups of water resource accessibility indices (retain three decimal places)

[0089]

[0090] exist Figure 3In the figure, box plots of the water resource accessibility index are shown with 10-minute, 30-minute and 1-hour walking distances as the experimental distance thresholds, 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 in 1 hour, that is, 4,000 meters, is selected as the target distance threshold for evaluating the third-level water body accessibility score.

[0091] (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. The water resource accessibility index of each level of water bodies in Table 2 is then used to calculate the annual water resource accessibility evaluation results.

[0092] Table 2 Water resource accessibility index

[0093]

[0094] 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 testing, 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 water body grades, and accurately subdivides the service range of the supply point; 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, overcoming the disadvantage of the traditional method of calculating 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.

[0095] 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. The water resource accessibility determination device can be implemented as an independent entity or integrated into an electronic device. The electronic device can be a terminal, a server, and the like. The terminal can include a tablet computer, a laptop computer, a personal computer (PC), a micro processing box, or other devices.

[0096] See also Figure 5 , Figure 5 The present invention specifically describes a device for determining water resource accessibility provided by an embodiment of the present application, which is applied to an electronic device. The device for determining water resource accessibility may include:

[0097] 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;

[0098] 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;

[0099] The first calculation module is used to calculate the distance barrier between each data point in the point data set and each level of water body;

[0100] A first determining module is used to determine a target distance threshold;

[0101] The second calculation module is used to calculate the water resource accessibility index of each level of water body based on the distance barrier target distance threshold;

[0102] The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

[0103] 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 be found in the beneficial effects in the previous method embodiments, which will not be repeated here.

[0104] In addition, an 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.

[0105] 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. By running or loading applications stored in the memory 402 and calling data stored in the memory 402, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole.

[0106] In this embodiment, the processor 401 in the electronic device 400 loads instructions corresponding to one or more application processes into the memory 402 according to the following steps, and the processor 401 runs the application stored in the memory 402 to implement various functions:

[0107] Acquiring water body remote sensing image data, and grading the water body remote sensing image data to obtain water body remote sensing image data of different grades;

[0108] Acquire kilometer grid data, and perform data extraction in the kilometer grid data to obtain a point data set;

[0109] Calculating the distance barrier between each data point in the point data set and each level of water body;

[0110] Determine target distance threshold;

[0111] Calculating the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold;

[0112] A water resource accessibility evaluation result is determined based on the accessibility index.

[0113] The electronic device can implement the steps in any embodiment of the water resource accessibility determination method provided in the embodiments of the present application. Therefore, it can achieve the beneficial effects that can be achieved by any water resource accessibility determination method provided in the embodiments of the present invention. Please refer to the previous embodiments for details and will not be repeated here.

[0114] Figure 7 The following is a block diagram of the specific structure of an electronic device provided in an embodiment of the present invention, which can be used to implement the water resource accessibility determination method provided in the above embodiments. The electronic device 500 can be a terminal, server, or other device. The terminal can include a tablet computer, laptop computer, personal computer (PC), microprocessor, or other device.

[0115] RF circuit 510 is used to receive and transmit electromagnetic waves, converting them into electrical signals, thereby enabling communication with a communications network or other devices. RF circuit 510 may include various existing circuit components for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption / decryption chip, a subscriber identity module (SIM) card, memory, and the like. RF circuit 510 can communicate with various networks, such as the Internet, an intranet, or a wireless network, or with other devices via a wireless network. These wireless networks may include cellular telephone networks, wireless local area networks, or metropolitan area networks. The wireless networks may utilize 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 Multiple 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 messaging, and any other suitable communication protocols, including those currently undeveloped.

[0116] The memory 520 can be used to store software programs and modules, such as the corresponding program instructions / modules in the above-mentioned 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 functions such as taking pictures with the front camera, processing the captured images, and switching the display color of the displayed 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 located 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 combinations thereof.

[0117] 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.

[0118] The display unit 540 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces. These graphical user interfaces can be composed of graphics, text, icons, videos, or any combination thereof. The display unit 540 may include a display panel 541. Optionally, the display panel 541 can be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like.

[0119] Audio circuit 560, speaker 561, and microphone 562 provide an audio interface between the user and electronic device 500. Audio circuit 560 converts received audio data into electrical signals and transmits them to speaker 561, which then converts them into sound signals for output. Microphone 562, on the other hand, converts collected sound signals into electrical signals, which are then received by audio circuit 560 and converted into audio data. The audio data is then processed by output processor 580 and transmitted via RF circuit 510 to, for example, another terminal. Alternatively, the audio data may be output to memory 520 for further processing. Audio circuit 560 may also include an earphone jack to allow communication between external headphones and electronic device 500.

[0120] Electronic device 500, through a transmission module 570 (e.g., a Wi-Fi module), can help users receive requests, send information, and so on, providing users with wireless broadband Internet access. Although the figure shows transmission module 570, it is understood that it is not a required component of electronic device 500 and can be omitted as needed without changing the essence of the invention.

[0121] Processor 580 is the control center of electronic device 500. It connects all components of the phone using various interfaces and circuits. By running or executing software programs and / or modules stored in memory 520 and accessing data stored in memory 520, it executes various functions of electronic device 500 and processes data, thereby providing overall monitoring of the electronic device. Optionally, processor 580 may include one or more processing cores. In some embodiments, processor 580 may integrate an application processor and a modem processor. The application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into processor 580.

[0122] Electronic device 500 also includes a power supply 590 (e.g., a battery) for powering various components. In some embodiments, the power supply can be logically connected to processor 580 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. Power supply 590 can also include any components, such as one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0123] Although not shown, the electronic device 500 also includes a camera (such as a front camera and 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 the one or more programs are stored in the memory and are configured to be executed by one or more processors. The one or more programs include instructions for performing the following operations:

[0124] Acquiring water body remote sensing image data, and grading the water body remote sensing image data to obtain water body remote sensing image data of different grades;

[0125] Acquire kilometer grid data, and perform data extraction in the kilometer grid data to obtain a point data set;

[0126] Calculating the distance barrier between each data point in the point data set and each level of water body;

[0127] Determine target distance threshold;

[0128] Calculating the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold;

[0129] A water resource accessibility evaluation result is determined based on the accessibility index.

[0130] During 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 and will not be repeated here.

[0131] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be accomplished through instructions, or by controlling related hardware through instructions. 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 storing a plurality of instructions that can be loaded by a processor to execute the steps of any of the embodiments of the water resource accessibility determination method provided in the embodiment of the present invention.

[0132] The computer-readable storage medium may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0133] 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.

[0134] The above is a detailed introduction to a method, device, storage medium and electronic device for determining water resource accessibility provided in the embodiments 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, based on the ideas of the present application, there will be changes in the specific implementation methods 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 grading the water body remote sensing image data to obtain water body remote sensing image data of different grades; Acquire kilometer grid data, and perform data extraction in the kilometer grid data to obtain a point data set; Calculating the distance barrier between each data point in the point data set and each level of water body, including: calculating the distance barrier between each data point in the point data set and each level of water body, including: when the data point is within the water body, the distance barrier is 0; when the data point is outside the water body, calculating the Euclidean distance between the data point and each edge point of the water body, and determining the minimum Euclidean distance as the distance barrier; Determine target distance threshold; Calculating the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold includes: calculating the water resource accessibility index using an accessibility formula, wherein the accessibility formula is: Among them, WA i represents the water resource accessibility index of a point to water bodies of different levels, f(d,ε i ) is a function consisting of distance barrier and distance barrier coefficient, d represents distance barrier, i represents water body grade, ε i Indicates the distance obstruction coefficient of different levels of water bodies; Determining a water resource accessibility evaluation result based on the accessibility index includes: calculating the accessibility evaluation result using a first formula, where the first formula is: Among them, WA represents the accessibility evaluation result of the point in that year.

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 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; Obtain kilometer grid data, extract numerical information in each grid in the kilometer grid data, and assign values ​​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, wherein: Determining the target distance threshold includes: Several experimental distance thresholds are preset, and the corresponding water resource accessibility index is calculated according to different experimental distance thresholds; 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.

4. A water resource accessibility determination device, the water resource accessibility determination device being used to implement the water resource accessibility determination method according to claim 1, 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 is used to determine a target distance threshold; A second calculation module is used to calculate the water resource accessibility index of each level of water body based on the distance barrier and the target distance threshold; The second determination module is used to determine the water resource accessibility evaluation result based on the accessibility index.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a plurality of instructions, which are suitable for being loaded by a processor to execute the water resource accessibility determination method according to any one of claims 1 to 3.

6. 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 according to any one of claims 1 to 3.

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