Regional water resource adjusting method, equipment and medium

Abstract

The invention discloses a regional water resource adjusting method and device and a medium, and relates to the field of water resources. The method comprises the following steps: based on a driving force-pressure-state-influence-response framework and a coupling coordination degree model, establishing an index system for quantifying the coupling coordination level of a water resource environment and influence factors; according to the indexes in the index layer under the pressure measurement index and the response measurement index, determining the effect score of the influence factor on the water resource environment; according to indexes in the index layer under the driving force measurement index and the influence measurement index, determining an effect score of the water resource environment on the influence factor; a coupling coordination degree function is adopted to obtain the coupling coordination degree of the water resource environment and the influence factors; according to the coupling coordination degree and the two action scores, the coupling relation between the water resource environment of the research area and the influence factors is obtained; and formulating a water resource environment regulation strategy based on the coupling relationship and the influence factor. The method can accurately adjust the bearing pressure of the regional water resource environment and maintain the balance of the water resource environment.

Description

Technical Field

[0001] The present application relates to the field of water resources, and in particular to a method, equipment and medium for regulating regional water resources. Background Art

[0002] Scholars at home and abroad have conducted a large number of studies to explore the theories and methods of coordinating the relationship between influencing factors and water resources and environment. Some studies use methods such as ecological footprint, system dynamics, and the "Driving-pressure-state-impact-response" (DPSIR) framework to evaluate the carrying capacity of water resources and environment and coordinate the relationship with influencing factors. As a link in the interaction between urbanization and ecological environment, the relationship between influencing factors and water resources and environment has a nonlinear mechanism of mutual constraint and promotion. Therefore, coupling theory is gradually becoming a new perspective for the study of coordinated urban-water relations. Existing studies have conducted theoretical research and empirical analysis on the interactive coupling relationship between influencing factors such as society, economy, and urban construction and water resources and environment systems, revealing the important impact of influencing factors on water resources, water environment, and water ecosystems, as well as the spatiotemporal evolution characteristics of the coupling relationship between influencing factors and water resources and environment.

[0003] The current methods for evaluating the coupling and coordination relationship between influencing factors and water resources and environment have the following deficiencies: First, the evaluation results can only reflect the overall coupling and coordination level of the influencing factors and the water resources and environment system, and it is difficult to reflect the type and degree of the interaction between the two systems, and it is impossible to show the coupling and coordination process within the system. Second, the existing methods mostly use socio-economic indicators for evaluation, and lack evaluation indicators that can reflect the coupling and coordination relationship between influencing factors and water resources and environment. Due to the above deficiencies, the water resources and environment cannot be accurately adjusted based on the influencing factors, resulting in the inability to maintain the balance of the water resources and environment. Summary of the invention

[0004] The purpose of this application is to provide a regional water resources regulation method, equipment and medium, which can accurately adjust the carrying pressure of the regional water resources environment and maintain the balance of the water resources environment.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In the first aspect, the present application provides a regional water resources regulation method, including: based on the driving force-pressure-state-impact-response framework and the coupling coordination model, establishing an indicator system for quantifying the coupling coordination level between the water resources environment and the influencing factors; the indicator system includes a target layer and an indicator layer, and the target layer includes a driving force measurement indicator, a pressure measurement indicator, an impact measurement indicator and a response measurement indicator; collecting data for each indicator in the indicator layer of the indicator system in the study area; determining the score of each indicator in the indicator layer based on the data of each indicator in the indicator layer; using the equal weighted averaging method to determine the weight of each indicator in the indicator layer; determining the response measurement indicator based on the score and weight of each indicator in the indicator layer under the pressure measurement indicator and the response measurement indicator. Determine the effect score of the influencing factors on the water resources environment; determine the effect score of the water resources environment on the influencing factors according to the score and weight of each indicator in the indicator layer under the driving force measurement index and the impact measurement index; use the coupling coordination function to obtain the coupling coordination degree between the water resources environment and the influencing factors according to the score and weight of each indicator in the indicator layer; obtain the coupling relationship between the water resources environment and the influencing factors in the study area based on the coupling coordination degree between the water resources environment and the influencing factors, the effect score of the influencing factors on the water resources environment, and the effect score of the water resources environment on the influencing factors; formulate a water resources environment regulation strategy based on the coupling relationship and the influencing factors to regulate the water resources environment and maintain the balance of the water resources environment in the study area.

[0007] In a second aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the regional water resources regulation methods described above.

[0008] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the regional water resources regulation methods described above.

[0009] According to the specific embodiments provided in this application, this application has the following technical effects:

[0010] The present application provides a regional water resources regulation method, equipment and medium, and establishes an index system for quantifying the coupling and coordination level between water resources environment and influencing factors. Based on the index system, the coupling coordination degree of water resources environment and influencing factors, the effect score of influencing factors on water resources environment and the effect score of water resources environment on influencing factors can be obtained, thereby determining the coupling relationship between water resources environment and influencing factors, solving the shortcomings of the existing evaluation of the coupling and coordination relationship between influencing factors and water resources environment, and being able to accurately regulate the carrying pressure of regional water resources environment and maintain the balance of water resources environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 A schematic diagram of a flow chart of a regional water resources regulation method provided in one embodiment of the present application;

[0013] Figure 2 A schematic diagram of the correlation mechanism between urban development and water resources environment provided in another embodiment of the present application;

[0014] Figure 3 A schematic diagram of the research scope of the Daqing River Basin provided for another embodiment of the present application;

[0015] Figure 4 A schematic diagram of a box plot of driving force, pressure, impact and response score results in 2015 and 2021 provided in another embodiment of the present application;

[0016] Figure 5 A schematic diagram of the city-water coupling coordination degree measurement results in 2015 provided by another embodiment of the present application;

[0017] Figure 6 A schematic diagram of the city-water coupling coordination degree measurement results in 2021 provided by another embodiment of the present application;

[0018] Figure 7 The first seal and regional distribution diagram of the change in the city-water relationship status between 2015 and 2021 provided by another embodiment of the present application;

[0019] Figure 8 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0020] 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 ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0022] In an exemplary embodiment, Figure 1 As shown, a method for regulating regional water resources is provided, comprising the following steps 101 to 109. Among them:

[0023] Step 101: Based on the driving force-pressure-state-impact-response framework and the coupling coordination model, an indicator system for quantifying the coupling coordination level between water resource environment and influencing factors is established; the indicator system includes a target layer and an indicator layer, and the target layer includes a driving force measurement indicator, a pressure measurement indicator, an impact measurement indicator and a response measurement indicator.

[0024] Step 102: Collect data for each indicator in the indicator layer of the indicator system in the study area.

[0025] Step 103: Determine the score of each indicator in the indicator layer according to the data of each indicator in the indicator layer.

[0026] Step 104: Use the equal weight average method to determine the weight of each indicator in the indicator layer.

[0027] Step 105: Determine the effect score of the influencing factor on the water resources environment according to the score and weight of each indicator in the indicator layer under the pressure measurement indicator and the response measurement indicator.

[0028] Step 106: Determine the effect score of water resources environment on the influencing factors according to the score and weight of each indicator in the indicator layer under the driving force measurement indicator and the impact measurement indicator.

[0029] Step 107: According to the score and weight of each indicator in the indicator layer, a coupling coordination function is used to obtain the coupling coordination degree between the water resources environment and the influencing factors.

[0030] Step 108: Based on the coupling coordination degree between water resources environment and influencing factors, the effect score of influencing factors on water resources environment, and the effect score of water resources environment on influencing factors, the coupling relationship between water resources environment and influencing factors in the study area is obtained.

[0031] Step 109: Based on the coupling relationship and the influencing factors, a water resource environment regulation strategy is formulated to regulate the water resource environment and maintain the balance of the water resource environment in the study area.

[0032] By implementing the above steps 101 to 109, an indicator system for quantifying the coupling and coordination level between water resources environment and influencing factors is established. Based on the indicator system, the coupling coordination degree of water resources environment and influencing factors, the effect score of influencing factors on water resources environment and the effect score of water resources environment on influencing factors can be obtained, thereby determining the coupling relationship between water resources environment and influencing factors, solving the shortcomings of the existing evaluation of the coupling and coordination relationship between influencing factors and water resources environment, and being able to accurately adjust the carrying pressure of regional water resources environment and maintain the balance of water resources environment.

[0033] In another exemplary embodiment of the present application, the influencing factors may be urban development, rainfall, land utilization rate, vegetation coverage, etc.

[0034] In another exemplary embodiment of the present application, the above step 103 may be specifically as follows: according to the data of each indicator in the indicator layer, by searching the correspondence table between the data division range of the indicator and the score, the score of each indicator in the indicator layer is obtained.

[0035] In another exemplary embodiment of the present application, the calculation formula for the effect score of the above-mentioned influencing factors on the water resources environment is:

[0036] U=∑ i≥1 R i × ri –∑ i≥1 P i × pi ;

[0037] In the formula, U represents the effect of the influencing factor on the water resources environment, R i represents the score of the i-th indicator in the indicator layer under the response measurement indicator, w ri represents the weight of the i-th indicator in the indicator layer under the response measurement indicator, P i represents the score of the ith indicator in the indicator layer under the pressure measurement indicator, w pi Represents the weight of the i-th indicator in the indicator layer under the pressure measurement indicator.

[0038] In another exemplary embodiment of the present application, the calculation formula for the effect score of the water resource environment on the influencing factor is:

[0039] W=∑ i≥1 D i × di –∑ i≥1 I i × ii ;

[0040] In the formula, W represents the effect score of water resources environment on the influencing factors, D i represents the score of the ith indicator in the indicator layer under the driving force measurement indicator, wdi represents the weight of the i-th indicator in the sub-indicator layer under the driving force measurement indicator, I i represents the score of the i-th indicator in the sub-indicator layer under the impact measurement indicator, w ii represents the weight of the i-th indicator in the sub-indicator layer under the impact measurement indicator.

[0041] In another exemplary embodiment of the present application, the above step 107 can be replaced by the following steps 201 to 202:

[0042] Step 201: Determine the scores of the driving force measurement indicator, the pressure measurement indicator, the impact measurement indicator, and the response measurement indicator according to the scores and weights of each indicator in the sub-indicator layer.

[0043] Step 202: Based on the scores of the driving force measurement indicator, the pressure measurement indicator, the impact measurement indicator, and the response measurement indicator, use the coupling coordination degree function to obtain the coupling coordination degree between the water resource environment and the impact factor.

[0044] Exemplarily, the coupling coordination degree function is:

[0045]

[0046] In the formula, C represents the coupling coordination degree, m1 represents the score of the driving force measurement indicator, m2 represents the score of the pressure measurement indicator, m3 represents the score of the impact measurement indicator, m4 represents the score of the response measurement indicator, m l represents the score of the l-th measurement indicator, m j represents the score of the j-th measurement indicator.

[0047] In another exemplary embodiment of the present application, the coupling coordination degree is defined as C, the action score of the impact factor on the water resource environment is U, and the action score of the water resource environment on the impact factor is W.

[0048] When 0 < C ≤ 0.30 and |U| > |W|, the coupling relationship between the water resource environment and the impact factor is a low-level coupling state dominated by the impact factor; where, |U| represents the absolute value of the action score of the impact factor on the water resource environment, and |W| represents the absolute value of the action score of the water resource environment on the impact factor.

[0049] When 0 < C ≤ 0.30 and |U| = |W|, the coupling relationship between the water resource environment and the impact factor is a low-level coupling state of balanced interaction between the water resource environment and the impact factor.

[0050] When 0 < C ≤ 0.30 and |U| < |W|, the coupling relationship between the water resource environment and the impact factor is a low-level coupling state dominated by the water resource environment.

[0051] When 0.30 < C ≤ 0.50 and |U| > |W|, the coupling relationship between the water resource environment and the influencing factors is an antagonistic state dominated by the influencing factors.

[0052] When 0.30 < C ≤ 0.50 and |U| = |W|, the coupling relationship between the water resource environment and the influencing factors is an antagonistic state of balance in the interaction between the water resource environment and the influencing factors.

[0053] When 0.30 < C ≤ 0.50 and |U| < |W|, the coupling relationship between the water resource environment and the influencing factors is an antagonistic state dominated by the water resource environment.

[0054] When 0.50 < C ≤ 0.80 and |U| > |W|, the coupling relationship between the water resource environment and the influencing factors is a running-in state dominated by the influencing factors.

[0055] When 0.50 < C ≤ 0.80 and |U| = |W|, the coupling relationship between the water resource environment and the influencing factors is a running-in state of balance in the interaction between the water resource environment and the influencing factors.

[0056] When 0.50 < C ≤ 0.80 and |U| < |W|, the coupling relationship between the water resource environment and the influencing factors is a running-in state dominated by the water resource environment.

[0057] When 0.80 < C < 1.00 and |U| > |W|, the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state dominated by the influencing factors.

[0058] When 0.80 < C < 1.00 and |U| = |W|, the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state of balance in the interaction between the water resource environment and the influencing factors.

[0059] When 0.80 < C < 1.00 and |U| < |W|, the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state dominated by the water resource environment.

[0060] Next, taking the influencing factor of urban development as an example, the method of this application is further elaborated.

[0061] I. Collect and analyze data

[0062] The data required for the research includes basic base maps (administrative jurisdiction range maps of the evaluation objects), land use types, water resource types, topographic and geomorphic types, ecological environment types, climate and meteorological types, disaster types, urban social and economic development types, etc. The data sources are shown in Table 1. Collect relevant data at two time points in two years to measure the coupling coordination relationship between urban development and the water resource environment.

[0063] Table 1 Research data and sources

[0064]

[0065] The first-level area in Table 1 is the study area. The scope of the first-level area is smaller than that of the second-level area, and the scope of the second-level area is smaller than that of the third-level area.

[0066] 2. Generate an index system using the DPSIR model and coupling coordination model

[0067] There is a complex nonlinear coupling relationship between the urbanization process and the ecological environment system. As a type of element in the ecological environment system, the water resources environment also has a coupling relationship of mutual incentive, feedback, and constraint with urban social and economic development and spatial expansion. The "Driving force-Pressure-State-Impact-Response" (DPSIR) framework and the coupling coordination degree model are both classic models for analyzing the coupling mechanism between the urbanization process and the ecological environment system. Combining the above models, a theoretical explanatory framework for the association mechanism between urban development and water resources environment is constructed.

[0068] The DPSIR framework is a general framework widely used in the evaluation of the state of ecological environment systems. It describes the causal chain between the origin and the result of the change in the state of the ecological environment. Therefore, it can also provide a logical basis for systematically sorting out the causal relationship between urban development and water resources and environment. Existing studies have mostly used the DPSIR framework to analyze and evaluate the characteristics of water resources or water ecosystems, such as safety, carrying capacity, and vulnerability. However, for the analysis of the mechanism of the relationship between urban development and water resources and environment, it is also necessary to consider the two-way relationship between the two systems. For example, in the driving force (D) factor, in addition to the driving force related to socio-economic development and other factors, the characteristics of the water environment itself are also an important factor driving the evolution of the urban-water relationship. Furthermore, when explaining the relationship between towns and water resources and environment, the state (State, S) element in the DPSIR framework should not describe the state of the water resources and environment system itself, but should be a state factor of the relationship between towns and water resources and environment. Therefore, this application introduces a coupling coordination degree model based on it to measure the state of the relationship between the two systems.

[0069] The coupling coordination model can effectively reflect whether there is an interaction relationship between two (or more) systems and the type of interaction relationship. This application combines it with the DPSIR framework to construct a theoretical framework for analyzing the correlation mechanism between urban development and water resources and environment, and based on this, generates an indicator system that can quantify the level of coupling coordination.

[0070] The process of interaction between urban development and water resources environment is as follows Figure 2 As shown in the figure, water resources and environment, as basic resource elements and ecological environment support, play a driving role in urban development; urban development will consume water resources, discharge sewage, and occupy ecological space, thus exerting pressure on the water resources and environment system; and factors such as water shortage and water environment deterioration will constrain the population, industry and spatial scale of the city, affecting the rate and scale of urban development; therefore, in order to seek sustainable development capabilities in the future, cities will use corresponding response measures to improve water conservation capabilities and repair water ecological environment. The above four interaction relationships are the four evaluation dimensions of driving force (D), pressure (Pressure, P), impact (Impact, I), and response (Response, R) in the DPSIR framework. Among them, driving force (D) and impact (I) reflect the positive and negative impacts of water resources and environment on urban development, while pressure (P) and response (R) reflect the negative and positive impacts of urban development on water resources and environment. The relationship between these two systems is the state (S) dimension in the DPSIR framework, which is affected by the driving force, pressure, impact and response processes and has an effect on these processes. That is, a coupled and coordinated state can further stimulate the driving force of water resources and environment on urban development, reduce the pressure of urban development on water resources and environment, and alleviate the negative impact of water resources and environment deterioration on the future development of cities. In addition, the coupled and coordinated urban-water relationship state can also encourage the further implementation and promotion of various water resources and environmental protection measures. The state (S) dimension of the two systems describes the coordination level of the positive and negative relationship between urban development and water resources and environment systems. This level can be interpreted using a coupled coordination model. That is, when the above-mentioned positive and negative effects reach a dynamic balance, urban development and water resources and environment form a coupled and coordinated development state; when one side is stronger than the other, it is an uncoordinated state dominated by system changes.

[0071] 3. Index Calculation

[0072] 1. Measurement index system of coupling coordination relationship

[0073] Based on the theoretical framework of the coupling coordination mechanism between urban development and water resources and environment, an indicator system for measuring the second-level region was constructed. On this basis, the data accessibility characteristics of the first-level region (study area) were considered, and the control indicators of the land space planning of the first-level region were considered to connect with the purpose of strengthening the practical guidance of the indicator system. The study constructed a measurement indicator system consisting of 4 target layers, 8 criterion layers and 15 indicators. Among them, the scope of the first-level region is smaller than that of the second-level region.

[0074] The driving force (D) dimension aims to reflect the positive role of water resources and environment in promoting urban development. It is mainly measured from two aspects: the supply support of water resources for urban production and living activities and the driving effect of good waterfront landscape environment on urban land expansion. When evaluating the water resource supply capacity, the indicators for measuring the enrichment of water resources include local water resources, annual precipitation, water production coefficient, and per capita water resources. However, considering that indicators such as annual precipitation and water production coefficient fluctuate greatly, and some data are difficult to obtain directly in the first-level areas. This application uses the water production module of the InVEST model to calculate the annual water production of each first-level region based on the average annual precipitation (billion m 3 ) indicator. When evaluating the attractiveness of waterfront development, it is necessary to comprehensively consider the water ecological landscape resource conditions and the constructible land resource conditions of the waterfront area, so the water surface ratio and the proportion of constructible land in the waterfront area are used as representative measurement indicators. Among them, the water surface ratio (%) indicator is calculated based on the proportion of the area of ​​water bodies and wetland type land in the surface cover type map with a precision of 30 meters to the area of ​​the first-level area. The proportion of constructible land in the waterfront area (%) is the proportion of non-construction land within the 2km buffer zone around rivers, lakes, wetlands and the 1km buffer zone around other ponds, canals, etc. to the area of ​​the first-level area.

[0075] The pressure (P) dimension aims to reflect the pressure exerted by urban development on the water resources environment, and is mainly measured from two aspects: socio-economic development and urban development and construction. This application uses the water resource load index to measure the level of pressure of urban socio-economic development borne by the water resources environment. The pressure of urban construction uses the landscape fragmentation index in the landscape pattern of landscape ecology to evaluate the pressure on hydrological and geomorphological changes. The water landscape fragmentation index (individuals / square kilometer) is calculated based on the ratio of the number of water and wetland patches in the first-level area in the surface cover type map to the area of ​​water and wetlands in the first-level area. The surface runoff pollution pressure caused by urban construction is evaluated by the proportion of impervious surface surface (%), which is calculated based on the proportion of construction land area to the area of ​​the first-level area in the surface cover type map.

[0076] The impact (I) dimension aims to reflect the constraints of the water resources and environmental system on urban development, mainly measured from the two aspects of water resources constraints and water disaster constraints. This application uses the water pollution pressure index to measure the absorption and elimination capacity of water pollutants in the research area, and the water resources supply-demand ratio index to measure the degree of water resource shortage. The two together characterize the constraints of the water resources and environmental carrying capacity on urban development. Among them, the calculation method of the water pollution pressure index is:

[0077]

[0078] Among them, PI is the water pollution pressure index, WSL is the sewage discharge volume in the first-level area (10,000 m 3 ), TW is the total amount of water resources (10,000 m3 ), UL is the construction land area of ​​the first-level area (km 2 ), Area is the administrative area of ​​the first-level region (km 2 ). The water resource supply-demand ratio is calculated based on the ratio of the total annual water supply to the total annual water demand in the first-level region. The annual water supply is calculated using the annual water production value calculated by the InVEST model. The annual water demand is calculated based on the total water supply in the first-level region in the water resources bulletin of each city and the "Construction Statistical Yearbook". The frequency of flood disasters measures the restraining effect of water disasters on urban development. Flood disasters refer to disaster types such as floods, urban waterlogging, landslides, and mud-rock flows that should be avoided in urban construction. The frequency of flood disasters (times) is calculated based on the number of flood disasters in each first-level region from 1900 to 2000 in the "Disaster Dictionary".

[0079] The response (R) dimension reflects the positive response measures taken by cities to achieve greater development and protect water resources and environment, mainly measured from two aspects: spatial control, technology and policy response. Among them, the per capita urban construction land area (square meters / person) is calculated based on the ratio of the construction land area to the population of the first-level region in the "Statistical Yearbook of Urban Construction of a Certain Country" and the "Statistical Yearbook of First-level Regional Construction of a Certain Country". The proportion of water ecological protection area (%) is calculated based on the proportion of the water ecological security red line protection area to the first-level regional area. The level of technical and policy response is measured by four statistical data such as per capita urban domestic water consumption.

[0080] Since the four dimensions of driving force, pressure, impact, and response are equally important in the coupling coordination mechanism analysis framework on which this indicator system is based, this application uses the equal weight average method to determine the weights of each indicator, as shown in Table 2. The evaluation criteria for each indicator are shown in Table 3.

[0081] Table 2 Measurement index system for the coupling coordination relationship between urban development and water resources environment

[0082]

[0083] Table 3 Index evaluation criteria

[0084]

[0085]

[0086] Note: x represents the number of indicators in the first-level area studied in year xx.

[0087] 2. Calculation method of coupling coordination

[0088] The effect of urban development on water resources and environment (U) and the effect of water resources and environment on urban development (W) can be calculated by weighted calculation of the coupling coordination relationship measurement index system. The specific calculation method is as follows:

[0089] U=∑ i≥1 R i × ri –∑ i≥1 P i × pi ;

[0090] W=∑ i≥1 D i × di –∑ i≥1 I i × ii ;

[0091] When |U|>|W|, it means that the effect of urban development is higher than that of the water resources and environment system, and the two are in the stage dominated by urban development; when |U|<|W|, the effect of the water resources and environment system is higher than that of urban development, and the two are in the stage dominated by water resources and environment; when |U| is close to |W|, the effects of the two are similar, indicating that they are in a state of interactive equilibrium.

[0092] Then, the coupling coordination function is used to measure the interaction relationship between the two systems. The coupling coordination model function of the existing n-dimensional system interaction is:

[0093] C n ={m1m2……m n / [Π 1≤i,j≤n,i≠j (m i +m j )]} 1 / n ;

[0094] Where m n Represents the action of the nth system in the coupling relationship. The model is applied to the interaction between urban development and water resources environment, that is, n = 4, m1 is the driving force D, m2 is the pressure P, m3 is the impact I, and m4 is the response R. Therefore, the coupling coordination function in this application can be expressed as:

[0095]

[0096] In the formula, the value range of coupling coordination degree C is from 0 to 1, which reflects the coupling coordination level between urban development and water resources environment. When the C value is close to 0, the coupling coordination degree between the systems is the lowest, indicating that the interaction relationship between the two systems is basically irrelevant; when the C value is closer to 1, the coupling relationship between the two systems is stronger, and the interaction relationship has a higher correlation.

[0097] As shown in Table 4, the C value reflects the state of the relationship between urban development and water resources and environment, and the U and W scores can determine the dominant relationship between the two systems. The low-level coupling state indicates that the correlation between the mutual influence between the two is weak; the antagonistic state indicates that the interaction relationship between the urban water system has been initially formed, and the change of one relationship can drive the adjustment and change of other relationships. The running-in state indicates that a variety of interactive feedback relationships are formed between the urban water systems. These mutual influence, constraint, and coercion relationships have prompted the urban water system to gradually enter a benign and stable coupling coordination relationship in repeated adjustments and shocks; the high-level coupling stage indicates that a stable interactive feedback relationship has been formed between the two systems, which has enabled the city to obtain sustainable development space, and the water resources and environment have also reached a stable and healthy state. The two promote each other and complement each other in the development process.

[0098] The evaluation can determine the state of the relationship between urban development and water resources and the environment, thereby identifying the weak links in water resources and environmental management, and providing decision support for urban social and economic development decisions, spatial planning, and the application of water resources management measures.

[0099] Table 4 Meaning of measurement index

[0100]

[0101] IV. Interpretation of evaluation results with examples

[0102] This research team took 51 first-level regional (e.g., county or district) administrative units in the Daqing River Basin as the research object (38°10′2.71″~40°2′32.7″N, 113°40′14.27″~117°9′58.31″E) Figure 3 ). The Daqing River Basin is one of the five sub-basins of the Haihe River system, with a total area of ​​about 34,000 square kilometers, flowing through four second-level regions and third-level regions. The basin is dominated by hills and plains, with a relatively flat terrain. The average annual total water resources are 4.9 billion cubic meters, and the per capita water resources are 148 cubic meters. The total population in the basin is about 31 million, and it is the ecological hinterland and major grain production area in North China. The Daqing River Basin is a typical representative area where there is a prominent contradiction between urban development and water resources and environment. Taking this area as a research case object can provide a reference for revealing the current status and problems of water resources and environmental protection in the region.

[0103] 1. The interaction between urban development and water resources environment

[0104] Through the analysis and calculation of the driving force (D), pressure (P), impact (I) and response (R) of different first-level areas in the Daqing River Basin, it can be seen that ( Figure 4), the driving force (D) level showed a downward trend from 2015 to 2021. The average value of D in the measurement results of 51 first-level regions in 2015 was 0.52, and the average value in 2021 dropped to 0.48, from Figure 4 It can be seen that the number of first-level areas in the high-value range of D has decreased significantly, indicating that the driving force of the water resources environment in the Daqing River Basin on urban development is weakening. The pressure (P) level also showed a significant downward trend. The average value of P in 2021 was 0.38, which was 0.03 lower than the average value of 0.41 in 2015. The impact (I) and response (R) levels have increased. From 2015 to 2021, the average value of I increased from 0.44 to 0.48, and the average value of R increased from 0.67 to 0.71. It reflects that in the interactive relationship between urban development and water resources environment, the feedback factors are increasing, and the urban-water relationship is changing from a one-way driving and pressure effect to a mutually feedback and coupled interactive relationship.

[0105] 2. Coupling and coordination between urban development and water resources environment

[0106] The results of the city-water coupling coordination degree measurement of 51 first-level areas in the Daqing River Basin in 2015 are as follows: Figure 5 As shown in Figure 2, the results of the city-water coupling coordination degree measurement for 51 first-level areas in the Daqing River Basin in 2021 are as follows: Figure 6 As shown. In general, the spatial difference characteristic of the coupling coordination level in the downstream area is higher than that in the upstream area. Among them, the measurement results in 2015 show that the C values ​​of Tianjin's six urban districts, Binhai New Area, Xiqing District, Jinghai District, etc., located in the downstream of the Daqing River Basin, are relatively high, all above 0.50. The measurement results in 2021 show that the C values ​​of 6 first-level areas are higher than 0.50, of which 5 first-level areas are Tianjin, located in the downstream of the Daqing River Basin.

[0107] The measurement results show that the relationship between urban development and water resources and environment is mainly divided into four types: low-level coupling state dominated by water environment, low-level coupling state dominated by city, antagonistic state dominated by city and antagonistic state dominated by water environment. Among them, in 2015, 36 first-level regions were in a low-level coupling state dominated by city, 12 first-level regions were in a low-level coupling state dominated by water environment, and another 4 first-level regions were in an antagonistic state dominated by city or water environment; by 2021, the number of first-level regions in a low-level coupling state dominated by water environment decreased to 9, while the number of first-level regions in an antagonistic state increased to 6. Overall, the coupling and coordination level between urban development and water resources and environment has improved, as shown in Table 5.

[0108] Table 5 Results of the city-water coupling coordination level measurement in 2015 and 2021

[0109]

[0110] 3. Temporal and spatial evolution characteristics of the city-water coupling coordination relationship

[0111] By comparing the city-water relationship status of the first-level areas in the Daqing River Basin in 2015 and 2021, it can be seen that the city-water relationship status of 14 first-level areas has changed, as shown in Table 6.

[0112] Among them, the urban-water relationship status of 11 first-level regions showed a low level of coupling in both 2015 and 2021, indicating that the coupling and coordination between urban development and water resources and environment was weak. This state reflects that in the planning and construction process of these regions, sufficient attention has not been paid to the coordinated protection of water resources and environment, or an effective balance point and strategy have not been found to achieve the harmonious development of cities and water resources and environment.

[0113] Figure 7 The spatial distribution characteristics of the first-level regions where the state of the city-water relationship has changed from 2015 to 2021 are shown. The city-water relationship in Jinnan District and Lingqiu County has changed from a "low-level coupling state" to an "antagonistic state", reflecting that the constraints and feedback between their water resources environment and urban development are becoming increasingly strong, and the two are developing towards a higher level of coupling and coordination. Anxin County, where Xiongan New Area is located, has changed from a state dominated by water resources and environment to a state dominated by the city, reflecting the impact of the development and construction of the new area on the city-water relationship, and demonstrating the sensitivity of the measurement indicator system constructed in this application to changes in the city-water relationship.

[0114] The research results show that the city-water relationship status in four first-tier regions, including Fangshan District of Beijing and Gaocheng District of Shijiazhuang, has shifted from city-led development to water environment-led development. This shows that in the process of urban development, these regions have begun to pay more attention to the protection and utilization of water resources and environment, and have tried to coordinate the relationship between urban development and water resources and environment through reasonable planning and management.

[0115] Table 6 List of first-level regions with changes in city-water relationship status between 2015 and 2021

[0116]

[0117]

[0118] The advantages of this application method are as follows:

[0119] Existing technologies are applied to the evaluation of administrative areas at the third level (e.g., provincial level) and second level (e.g., municipal level) levels, but lack evaluation methods for administrative areas at the first level (e.g., county level). However, this application can visualize the constraints and promotion relationships between urban systems and water resources and environmental systems through data analysis, enrich the analysis methods for coupling and coordination relationships at the county level, and fill in the coupling and coordination relationship measurement indicators that reflect the characteristics of urban development and construction. Construct an indicator system that can quantify the level of urban-water coupling coordination at the county level, provide decision-making support for regional water resources and environmental protection and sustainable development, and provide theoretical and methodological references for promoting the coordinated development of urban-water coupling.

[0120] This application explores the four dimensions of interaction between urban development and water resources and environment, namely driving force, pressure, impact and response, measures the characteristics of its force, and then uses the coupling coordination model to analyze the level of its interaction relationship. This method can more comprehensively reflect the internal mechanism of the interaction between urban development and water resources, and provide information support for further identifying the weak links in water resources and environmental management and the formulation of response measures.

[0121] Based on the same inventive concept, in an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store water resource environment regulation strategies. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a regional water resource regulation method is implemented.

[0122] Those skilled in the art will understand that Figure 8The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0123] Exemplarily, when the processor executes the computer program to implement the regional water resources regulation method, the execution process includes the following:

[0124] Based on the driving force-pressure-impact-response framework and the coupling coordination model, an indicator system for quantifying the coupling coordination level between water resources environment and influencing factors is established; the indicator system includes a target layer and an indicator layer, and the target layer includes a driving force measurement indicator, a pressure measurement indicator, an impact measurement indicator and a response measurement indicator; collect data for each indicator in the indicator layer of the indicator system in the study area; determine the score of each indicator in the indicator layer based on the data of each indicator in the indicator layer; use the equal weight averaging method to determine the weight of each indicator in the indicator layer; determine the effect of the influencing factors on the water resources environment based on the score and weight of each indicator in the indicator layer under the pressure measurement indicator and the response measurement indicator score; determine the score of the effect of water resources and environment on the influencing factors according to the score and weight of each indicator in the indicator layer under the driving force measurement index and the impact measurement index; use the coupling coordination function to obtain the coupling coordination degree between water resources and environment and influencing factors according to the score and weight of each indicator in the indicator layer; obtain the coupling relationship between water resources and environment and influencing factors in the study area based on the coupling coordination degree between water resources and environment and influencing factors, the effect score of influencing factors on water resources and environment, and the effect score of water resources and environment on influencing factors; formulate a water resources and environment regulation strategy based on the coupling relationship and the influencing factors to regulate the water resources and environment and maintain the balance of water resources and environment in the study area.

[0125] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0126] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0127] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this 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 limiting this application.

Claims

1. A method for regulating regional water resources, characterized in that: Including: Based on the Driving Force - Pressure - State - Impact - Response (DPSIR) framework and the coupling coordination degree model, an index system is established to quantify the coupling coordination level between the water resources environment and impact factors; the index system includes an objective layer and an index layer, and the objective layer includes driving force measurement indicators, pressure measurement indicators, impact measurement indicators, and response measurement indicators; Collect data for each indicator in the index layer within the research area; Determine the score of each indicator in the index layer according to the data of each indicator in the index layer; Use the equal - weight averaging method to determine the weights of the indicators in the index layer; Determine the action score of the impact factor on the water resources environment according to the scores and weights of each indicator in the index layer under the pressure measurement indicator and the response measurement indicator; Determine the action score of the water resources environment on the impact factor according to the scores and weights of each indicator in the index layer under the driving force measurement indicator and the impact measurement indicator; According to the scores and weights of each indicator in the index layer, use the coupling coordination degree function to obtain the coupling coordination degree between the water resources environment and the impact factor; Based on the coupling coordination degree between the water resources environment and the impact factor, the action score of the impact factor on the water resources environment, and the action score of the water resources environment on the impact factor, obtain the coupling relationship between the water resources environment and the impact factor within the research area; Based on the coupling relationship and the impact factor, formulate a water resources environment regulation strategy to regulate the water resources environment and maintain the balance of the water resources environment within the research area.

2. The regional water resources regulation method according to claim 1, characterized in that: Determine the score of each indicator in the index layer according to the data of each indicator in the index layer, specifically including: According to the data of each indicator in the index layer, obtain the score of each indicator in the index layer by looking up the correspondence table between the data division range of the indicator and the score.

3. The regional water resources regulation method according to claim 1, characterized in that: The calculation formula for the action score of the impact factor on the water resources environment is: U=∑ i≥1 R i ×w ri –∑ i≥1 P i ×w pi ; In the formula, U represents the effect of the influencing factor on the water resources environment, R i represents the score of the i-th indicator in the indicator layer under the response measurement indicator, w ri represents the weight of the i-th indicator in the indicator layer under the response measurement indicator, P i represents the score of the ith indicator in the indicator layer under the pressure measurement indicator, w pi Represents the weight of the i-th indicator in the indicator layer under the pressure measurement indicator.

4. The regional water resources regulation method according to claim 1, characterized in that: The calculation formula for the action score of the water resources environment on the impact factor is: W=∑ i≥1 D i ×w di –∑ i≥1 I i ×w ii ; In the formula, W represents the effect score of water resources environment on the influencing factors, D i represents the score of the ith indicator in the indicator layer under the driving force measurement indicator, w di Represents the weight of the i-th indicator in the indicator layer under the driving force measurement indicator, I i represents the score of the ith indicator in the indicator layer under the impact measurement indicator, w ii Represents the weight of the ith indicator in the indicator layer under the impact measurement indicator.

5. The regional water resources regulation method according to claim 1, characterized in that: According to the scores and weights of each indicator in the index layer, use the coupling coordination degree function to obtain the coupling coordination degree between the water resources environment and the impact factor, specifically including: According to the scores and weights of each indicator in the index layer, determine the scores of the driving force measurement indicator, the pressure measurement indicator, the impact measurement indicator, and the response measurement indicator; Based on the scores of the driving force measurement indicator, the pressure measurement indicator, the impact measurement indicator, and the response measurement indicator, use the coupling coordination degree function to obtain the coupling coordination degree between the water resources environment and the impact factor.

6. The method for regulating regional water resources according to claim 5, characterized in that: The coupling coordination degree function is: In the formula, C represents the coupling coordination degree, m1 represents the score of the driving force measurement index, m2 represents the score of the pressure measurement index, m3 represents the score of the impact measurement index, m4 represents the score of the response measurement index, and m l represents the score of the lth measurement indicator, m j Represents the score of the jth measurement indicator.

7. The regional water resources regulation method according to claim 1, characterized in that: Define the coupling coordination degree as C, the action score of the impact factor on the water resources environment as U, and the action score of the water resources environment on the impact factor as W; When 0 < C ≤ 0.30 and |U| > |W|, the coupling relationship between the water resources environment and the impact factor is a low - level coupling state dominated by the impact factor; where, |U| represents the absolute value of the action score of the impact factor on the water resources environment, and |W| represents the absolute value of the action score of the water resources environment on the impact factor; When 0 < C ≤ 0.30 and |U| = |W|, the coupling relationship between the water resources environment and the impact factor is a low - level coupling state of balanced interaction between the water resources environment and the impact factor; When \(0 < C\leqslant0.30\) and \(|U| < |W|\), the coupling relationship between the water resource environment and the influencing factors is a low-level coupling state dominated by the water resource environment; When \(0.30 < C\leqslant0.50\) and \(|U| > |W|\), the coupling relationship between the water resource environment and the influencing factors is an antagonistic state dominated by the influencing factors; When \(0.30 < C\leqslant0.50\) and \(|U| = |W|\), the coupling relationship between the water resource environment and the influencing factors is an antagonistic state with a balance of interaction between the water resource environment and the influencing factors; When \(0.30 < C\leqslant0.50\) and \(|U| < |W|\), the coupling relationship between the water resource environment and the influencing factors is an antagonistic state dominated by the water resource environment; When \(0.50 < C\leqslant0.80\) and \(|U| > |W|\), the coupling relationship between the water resource environment and the influencing factors is a running-in state dominated by the influencing factors; When \(0.50 < C\leqslant0.80\) and \(|U| = |W|\), the coupling relationship between the water resource environment and the influencing factors is a running-in state with a balance of interaction between the water resource environment and the influencing factors; When \(0.50 < C\leqslant0.80\) and \(|U| < |W|\), the coupling relationship between the water resource environment and the influencing factors is a running-in state dominated by the water resource environment; When \(0.80 < C < 1.00\) and \(|U| > |W|\), the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state dominated by the influencing factors; When \(0.80 < C < 1.00\) and \(|U| = |W|\), the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state with a balance of interaction between the water resource environment and the influencing factors; When \(0.80 < C < 1.00\) and \(|U| < |W|\), the coupling relationship between the water resource environment and the influencing factors is a high-level coupling state dominated by the water resource environment.

8. A computer device comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the regional water resource regulation method according to any one of claims 1-7.

9. The computer device according to claim 8, characterized in that When the processor executes the computer program to implement the regional water resource regulation method, the following execution process is included: Based on the driving force-pressure-impact-response framework and the coupling coordination degree model, an index system for quantifying the coupling coordination level between the water resource environment and the influencing factors is established; the index system includes an objective layer and an index layer, and the objective layer includes driving force measurement indexes, pressure measurement indexes, impact measurement indexes, and response measurement indexes; Collect data of each index in the index layer of the index system within the research area; Determine the score of each index in the index layer according to the data of each index in the index layer; Use the equal weight averaging method to determine the weights of the indexes in the index layer; Determine the action score of the influencing factors on the water resource environment according to the scores and weights of each index in the index layer under the pressure measurement index and the response measurement index; Determine the action score of the water resource environment on the influencing factors according to the scores and weights of each index in the index layer under the driving force measurement index and the impact measurement index; According to the score and weight of each indicator in the indicator layer, the coupling coordination function is used to obtain the coupling coordination degree between water resources environment and influencing factors; According to the coupling coordination degree between water resources environment and influencing factors, the effect score of influencing factors on water resources environment and the effect score of water resources environment on influencing factors, the coupling relationship between water resources environment and influencing factors in the study area is obtained; Based on the coupling relationship and the influencing factors, a water resource environment regulation strategy is formulated to regulate the water resource environment and maintain the balance of the water resource environment in the study area.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the regional water resources regulation method described in any one of claims 1 to 7 is implemented.

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