A river health evaluation method and device based on full-reach spatial difference analysis

Abstract

The application discloses a river health evaluation method and device based on full-reach spatial difference analysis, and the method comprises the following steps: dividing full reaches of a target river basin into regions of different water body types according to river characteristics; selecting multiple evaluation indexes for each water body type region from preset criterion layers; obtaining index data of each evaluation index of each region in a preset time period; based on the index data, performing multiple coupling evaluations on each region by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, to obtain an ecological health evaluation grade of each region; and analyzing relative differences existing in the ecological health of the full reaches of the river in space in each evaluation angle, to obtain a water body ecological health coordination condition of the target river basin. The application takes the ecological health of the full reaches of the river as a theme, distinguishes water bodies, evaluates the health condition of the river from a spatial angle, and provides a new thought and theoretical support for guiding river construction for decision makers.

Description

Technical Field

[0001] This invention relates to the field of river ecological assessment technology, specifically to a method and apparatus for river health assessment based on spatial difference analysis of the entire river section. Background Technology

[0002] Rivers are vital carriers of the Earth's hydrological cycle, bearing the fruits of regional social, economic, and cultural development. In recent years, the problems of disordered river ecosystem structure and functional degradation remain prominent. River health assessment, as a tool, has been gradually applied by regulatory departments in the evaluation and management of rivers, providing important evidence for river protection. However, most existing river assessments focus on the river as a whole, failing to differentiate water bodies based on river characteristics. They emphasize the evaluation of river structure and function, neglecting the spatial differences in ecological health across the entire river section. This results in a river construction evaluation system that is spatially simplistic, incomplete, and unable to clearly identify which parts of the river have deficiencies. Furthermore, it fails to meet the high standards required for high-quality river development today, such as identifying regional construction shortcomings, timely adjusting construction priorities, and scientifically formulating governance policies in research on river health issues. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and apparatus for river health assessment based on spatial difference analysis of the entire river section.

[0004] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0005] In a first aspect, the present invention provides a method for river health assessment based on spatial difference analysis across the entire river segment, the method comprising:

[0006] The entire river section of the target basin is divided into regions with various water body types according to river characteristics;

[0007] For each type of water body, multiple evaluation indicators are selected from the established criteria layers.

[0008] Obtain the indicator data for each evaluation indicator in each region within a preset time period;

[0009] Based on the aforementioned indicator data, a multivariate coupled evaluation of each region is conducted by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, in order to obtain the ecological health evaluation level of each region.

[0010] The Theil index was used to analyze the relative differences between the evaluation perspectives and the spatial distribution of river ecological health across the entire river section, in order to obtain the coordinated status of water ecological health in the target watershed.

[0011] In conjunction with the first aspect, optionally, the water body types include reservoirs, main streams, and tributaries; the criteria layers include hydrological criteria layer, chemical criteria layer, morphological and structural criteria layer, biological criteria layer, and social service criteria layer.

[0012] In conjunction with the first aspect, optionally, the selection of multiple evaluation indicators from the established criterion layers for each water body type region includes:

[0013] The evaluation indicators selected for reservoirs from the hydrological criteria layer include: water resource development and utilization rate, and the satisfaction of downstream ecological base flow.

[0014] The evaluation indicators selected for reservoirs from the chemical criteria layer include: water quality status, drinking water source quality compliance status, nutrient status, sediment pollution status, and water function zone compliance rate.

[0015] The evaluation indicators selected for reservoirs from the morphological and structural criteria layer include: shoreline ecological index, reservoir vegetation coverage, and reservoir human disturbance status.

[0016] Evaluation indicators selected from the biological control layer for reservoirs include: phytoplankton density, macrobenthic invertebrate community composition, and fish population index.

[0017] The evaluation indicators selected for reservoirs from the social service criteria level include: public satisfaction, flood control indicators, and water supply indicators.

[0018] The evaluation indicators selected from the hydrological criteria layer for both the main stream and tributaries include: water resource development and utilization rate, flow process variability, and ecological flow satisfaction.

[0019] The evaluation indicators selected from the chemical criteria layer for both the main stream and tributaries include: water quality status, drinking water source quality compliance status, sediment pollution status, and water function zone compliance rate.

[0020] The evaluation indicators selected from the morphological and structural criteria layer for both the main stream and tributaries include: river longitudinal connectivity index, shoreline ecological index, riparian vegetation coverage, and riparian human disturbance status.

[0021] The evaluation indicators selected from the biological criteria layer for both the main stream and tributaries include: macrobenthic invertebrate community composition, phytoplankton density, and fish retention index;

[0022] The evaluation indicators selected from the social service criteria level for both the main stream and tributaries include: public satisfaction, flood control indicators, and water supply indicators.

[0023] In conjunction with the first aspect, optionally, the indicator data includes the sample value, grading standard value, weight, and corresponding score of each indicator.

[0024] In conjunction with the first aspect, optionally, the ecological health evaluation level is divided into five levels: 1, 2, 3, 4, and 5, which correspond to the health status categories of very healthy, healthy, sub-healthy, unhealthy, and pathological, respectively.

[0025] In conjunction with the first aspect, optionally, based on the aforementioned indicator data, a multivariate coupled evaluation of each region is conducted by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers to obtain the ecological health evaluation level of each region, including the following steps:

[0026] Based on the obtained indicator data of each region, the first evaluation level of water ecological health of each region was calculated by constructing a POME fuzzy evaluation model.

[0027] Based on the obtained indicator data of each region, the second evaluation level of water ecological health of each region was calculated by constructing a set pair analysis model based on triangular fuzzy numbers.

[0028] The ecological health evaluation level of each region is obtained by averaging the first evaluation level and the second evaluation level.

[0029] In conjunction with the first aspect, optionally, the step of calculating the first evaluation level of aquatic ecological health for each region by constructing a POME fuzzy evaluation model based on the acquired indicator data for each region includes:

[0030] The sample values ​​c of each indicator obtained from the region to be evaluated i and grading standard value s ih The matrix formed is C = [c i ] m×1 and S = [s ih ] m×k Standardized to fuzzy matrices F = [f i ] m×1 and E=[e ih ] m×k ;

[0031] A Lagrangian function is constructed with the objective of minimizing the generalized weighted distance between the samples to be evaluated and each level standard, and maximizing the Shannon entropy. This yields the optimal membership fuzzy matrix U = [u...]. h ] k×1 , where u h The calculation formula is:

[0032]

[0033] In the formula: B is the weighting factor; w i e represents the weight of the i-th indicator; ihf is the standardized value of the h-th level grading standard value of the i-th indicator; i The value of the i-th indicator is the standardized value of the sample values; u h is the membership degree of the sample population to the h-th level; m is the number of indicators; k is the number of evaluation levels;

[0034] Based on the optimal membership degree fuzzy matrix U=[u h ] k×1 The formula for calculating the first evaluation level of the aquatic ecological health of the area to be evaluated is as follows:

[0035]

[0036] In the formula: u h is the membership degree of the sample population of the region to be evaluated to level h; k is the number of levels; A is the total membership degree, which is the first evaluation level of the region to be evaluated.

[0037] In conjunction with the first aspect, optionally, the step of calculating the second evaluation level of aquatic ecological health for each region based on the acquired indicator data of each region by constructing a set pair analysis model based on triangular fuzzy numbers includes:

[0038] Based on the principle of likeness, difference, and inverse in set pair analysis, a pentagonal relationship coefficient is constructed between the sample values ​​of the region to be evaluated and the river's ecological health assessment level. Its expression is as follows:

[0039]

[0040] In the formula, u i c is the number of connections for the i-th indicator sample; i s represents the sample value of the i-th indicator; ih Let h be the grading standard value of the h-th level of the i-th indicator, where h = 1, 2, ..., k; 1i i 2i i 3i These are the difference coefficients of the i-th indicator deviating from the 2nd, 3rd, and 4th levels, respectively; i 1i i 2i i 3i ∈[-1,1];v i is the opposition coefficient of the i-th indicator sample value;

[0041] The classification standard value s is determined using the special value method of analytical value selection. i2 s i3 s i4 The difference coefficients at each location are taken as i. 1i =0.5, i 2i =0, i 3i = -0.5; A triangular fuzzy number is introduced to represent the fuzziness of the difference coefficient, and its formula is:

[0042]

[0043]

[0044] Based on the five-element correlation coefficient, the calculation formula for the second assessment level of the aquatic ecological health of the area to be evaluated is as follows:

[0045]

[0046] In the formula: Z represents the second evaluation level of the area to be evaluated, w i Let u be the weight of the i-th indicator; i Let m be the number of connections for the i-th indicator sample, and m be the number of indicators.

[0047] In conjunction with the first aspect, optionally, the step of using the Theil index to analyze the relative differences between each evaluation perspective and the spatial distribution of river ecological health across the entire river section includes:

[0048] The Theil index was used to analyze the differences between regions throughout the entire river stretch. The formula for its calculation is as follows:

[0049]

[0050] In the formula, T b The Theil index, representing the differences across all river segments within a target watershed; T bp n represents the Theil index of region p in the entire river segment; p n represents the minimum number of units contained in region p. p =1; n represents the minimum number of units contained in the entire river segment, n = p; HI p HI represents the score of the ecological health level of region p; HI represents the mean score of the ecological health level of the entire river section.

[0051] The contribution of region p to the spatial variation across the entire river segment is: T bp / T b ×100%;

[0052] The Theil index was used to analyze the differences among regions of each criterion layer throughout the river stretch. The calculation formula is as follows:

[0053]

[0054] In the formula, T c The Theil index, representing the differences in the analyzed criterion layers across the entire river section; T cp The Theil index of region p in this criterion layer; HZ p HZ represents the ecological health score of region p in this criterion layer; HZ represents the mean ecological health score of the entire river section in this criterion layer.

[0055] The contribution of region p to the spatial variation of this criterion layer across the entire river segment is: T cp / T c ×100%.

[0056] Secondly, the present invention provides a river health assessment device based on spatial difference analysis of the entire river section, the device comprising:

[0057] The segmentation module is used to divide the entire river section of the target watershed into regions with various water body types according to river characteristics;

[0058] The selection module is used to select multiple evaluation indicators from the set criteria layers for each type of water body.

[0059] The acquisition module is used to acquire the indicator data of each evaluation indicator for each region within a preset time period;

[0060] The multivariate coupled evaluation module is used to conduct multivariate coupled evaluation of each region based on the index data by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, so as to obtain the ecological health evaluation level of each region.

[0061] The spatial difference analysis module is used to analyze the relative differences between the evaluation perspectives and the spatial ecological health of the entire river section using the Theil index, in order to obtain the coordinated status of the water ecological health of the target watershed.

[0062] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0063] This invention takes the evaluation and differential analysis of river health across the entire river section as its starting point. The entire river section is divided into regions based on different water body types. Targeted evaluation indicators are selected from various criterion layers, and a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers are constructed to conduct multivariate coupled evaluations of each region, comprehensively grasping the ecological health status of each region of the river. The Theil index is used to analyze the relative differences between each evaluation perspective and the spatial ecological health of the entire river section, obtaining the coordinated status of the water body ecological health of the target watershed. This invention overcomes the problems of existing technologies that often take the entire river as the starting point without distinguishing between water bodies, resulting in a relatively singular spatial evaluation, insufficient comprehensiveness, inability to identify which part of the river has defects, and neglect of the spatial differences in health status between river sections. This invention focuses on the ecological health of the entire river section, distinguishes between water bodies, and evaluates the river's health status from a spatial perspective. The evaluation indicators are comprehensive and integrated, and the evaluation method is accurate and highly operable. It provides new ideas and theoretical support for decision-makers to guide river construction, helps relevant departments strengthen the concept of coordinated development, facilitates the scientific and rational formulation of subsequent river management policies, and promotes the process of regional ecological protection and high-quality development. Attached Figure Description

[0064] Figure 1 A schematic diagram of the process for a river health assessment method based on spatial difference analysis across the entire river segment, provided in an embodiment of the present invention;

[0065] Figure 2 The overall logical block diagram of the river health assessment method based on spatial difference analysis of the entire river section provided in the embodiments of the present invention;

[0066] Figure 3 The structural principle block diagram of the river health assessment device based on spatial difference analysis of the entire river section provided in the embodiment of the present invention. Detailed Implementation

[0067] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0068] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0069] Example 1:

[0070] To overcome the problem of spatially singular evaluation in existing river construction evaluation technologies, identify the shortcomings in regional construction, and scientifically formulate targeted and focused governance plans, such as... Figure 1 As shown in the figure, this invention provides a method for river health assessment based on spatial difference analysis across the entire river section, specifically including the following steps:

[0071] S1: Divide the entire river section of the target basin into regions with various water body types according to river characteristics;

[0072] S2: Select multiple evaluation indicators from the established criteria layers for each water body type region;

[0073] S3: Obtain the indicator data of each evaluation indicator for each region within the preset time period;

[0074] S4: Based on the aforementioned indicator data, a multivariate coupled evaluation of each region is conducted by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, in order to obtain the ecological health evaluation level of each region.

[0075] S5: Utilize the Theil index to analyze the relative differences between each evaluation perspective and the spatial distribution of river ecological health across the entire river section, in order to obtain the coordinated status of water ecological health in the target watershed.

[0076] Specifically, refer to Figure 2 As shown, in step S2, for regions with different water body types, this embodiment selects evaluation indicators from five criteria layers: hydrology, chemistry, morphology and structure, biology, and social services, and obtains the measured data required for each evaluation indicator; the sample value and corresponding score of each indicator in each region are calculated through the measured data, and the score of each criteria layer and the comprehensive score of each region are calculated according to the weight of each indicator.

[0077] It should be noted that the detailed indicators differ for different water bodies; this embodiment selects 17 indicators for both the main stream and tributaries, including: water resource development and utilization rate, flow process variability, and ecological flow satisfaction at the hydrological criterion layer; water quality, drinking water source quality compliance, sediment pollution, and water function zone compliance rate at the chemical criterion layer; river longitudinal connectivity index, shoreline ecological index, riparian vegetation coverage, and riparian artificial disturbance at the morphological and structural criterion layer; macrobenthic invertebrate community composition, phytoplankton density, and fish population index at the biological criterion layer; and public satisfaction, flood control indicators, and water supply indicators at the social service criterion layer.

[0078] Sixteen evaluation indicators were selected for the reservoir, including: water resource development and utilization rate and downstream ecological base flow satisfaction at the hydrological criterion layer; water quality at the chemical criterion layer, drinking water source quality compliance, trophic status, sediment pollution status, and water function zone compliance rate; shoreline ecological index, reservoir vegetation coverage, and artificial disturbance at the morphological and structural criterion layer; phytoplankton density, macrobenthic invertebrate community composition, and fish population index at the biological criterion layer; and public satisfaction, flood control indicators, and water supply indicators at the social service criterion layer.

[0079] As an embodiment of the present invention, step S4 specifically includes:

[0080] S4.1: Based on the obtained indicator data for each region, the first evaluation level of aquatic ecological health for each region is calculated by constructing a POME fuzzy evaluation model; the specific process includes:

[0081] S4.1.1: The sample values ​​c of each indicator obtained from the region to be evaluated. i and grading standard value s ih The matrix formed is C = [c i ] m×1 and S = [s ih ] m×k Standardized to fuzzy matrices F = [f i ]m×1 and E=[e ih ] m×k ;

[0082] S4.1.2: Construct the Lagrangian function with the objective of minimizing the generalized weighted distance between the sample to be evaluated and each level standard, and maximizing the Shannon entropy, to obtain the optimal membership fuzzy matrix U = [u] based on POME fuzzy evaluation. h ] k×1 , where u h The calculation formula is:

[0083]

[0084] In the formula: B is a weighting factor, and in this embodiment, B is 10; w i e represents the weight of the i-th indicator; ih f is the standardized value of the h-th level grading standard value of the i-th indicator; i The value of the i-th indicator is the standardized value of the sample values; u h is the membership degree of the sample population to the h-th level; m is the number of indicators; k is the number of evaluation levels;

[0085] S4.1.3: Based on the optimal membership degree fuzzy matrix U=[u h ] k×1 The formula for calculating the first evaluation level of the aquatic ecological health of the area to be evaluated is as follows:

[0086]

[0087] In the formula: u h is the membership degree of the sample population of the region to be evaluated to level h; k is the number of levels; A is the total membership degree, which is the first evaluation level of the region to be evaluated.

[0088] S4.2: Based on the obtained indicator data for each region, the second evaluation level of aquatic ecological health for each region is calculated by constructing a set pair analysis model based on triangular fuzzy numbers; the specific process includes:

[0089] S4.2.1: Based on the principle of likeness, difference, and inverse in set pair analysis, a pentagonal relationship coefficient is constructed between the sample values ​​of the area to be evaluated and the river ecological health evaluation level. Its expression is as follows:

[0090]

[0091] In the formula, u i c is the number of connections for the i-th indicator sample; i s represents the sample value of the i-th indicator; ih Let h be the grading standard value of the h-th level of the i-th indicator, where h = 1, 2, ..., k;1i i 2i i 3i These are the difference coefficients of the i-th indicator deviating from the 2nd, 3rd, and 4th levels, respectively; i 1i i 2i i 3i ∈[-1,1];v i is the opposition coefficient of the i-th indicator sample value, with a value of -1;

[0092] S4.2.2: The special value method of analytical value selection is used to determine the classification standard value s. i2 s i3 s i4 The difference coefficients at each location are taken as i. 1i =0.5, i 2i =0, i 3i = -0.5; A triangular fuzzy number is introduced to represent the fuzziness of the difference coefficient, and its formula is:

[0093]

[0094] S4.2.3: Based on the five-element correlation coefficient, the calculation formula for the second evaluation level of the aquatic ecological health of the area to be evaluated is as follows:

[0095]

[0096] In the formula: Z represents the second evaluation level of the area to be evaluated; the higher the Z, the lower the ecological health status. i Let u be the weight of the i-th indicator; i Let m be the number of connections for the i-th indicator sample, and m be the number of indicators.

[0097] S4.3: Calculate the average value of the first evaluation level and the second evaluation level to obtain the ecological health evaluation level of each region.

[0098] In this embodiment, the ecological health evaluation level is divided into five levels: 1, 2, 3, 4, and 5, which correspond to the health status categories of very healthy, healthy, sub-healthy, unhealthy, and pathological, respectively.

[0099] As an embodiment of the present invention, step S5 specifically includes:

[0100] A: The Theil index is used to analyze the differences between regions throughout the entire river stretch. The calculation formula is as follows:

[0101]

[0102] In the formula, T b The Theil index, representing the differences across all river segments within a target watershed; T bp n represents the Theil index of region p in the entire river segment;p n represents the minimum number of units contained in region p. p =1; n represents the minimum number of units contained in the entire river segment, n = p; HI p HI represents the score of the ecological health level of region p; HI represents the mean score of the ecological health level of the entire river section.

[0103] The contribution of region p to the spatial variation across the entire river segment is: T bp / T b ×100%;

[0104] B: The Theil index was used to analyze the differences between different regions of each criterion layer throughout the entire river section. The calculation formula is as follows:

[0105]

[0106] In the formula, T c The Theil index, representing the differences in the analyzed criterion layers across the entire river section; T cp The Theil index of region p in this criterion layer; HZ p HZ represents the ecological health score of region p in this criterion layer; HZ represents the mean ecological health score of the entire river section in this criterion layer.

[0107] The contribution of region p to the spatial variation of this criterion layer across the entire river segment is: T cp / T c ×100%.

[0108] The river health assessment method based on spatial difference analysis of the entire river section provided in this embodiment will be applied to the Feiyunjiang River Basin to verify the effectiveness of the method of the present invention.

[0109] The Feiyun River is one of the eight major river systems in Zhejiang Province that flow directly into the sea. It is 193 kilometers long, with its basin located between 119°35′ and 120°40′ east longitude and 27°28′ and 28°00′ north latitude. The Feiyun River system has a total drainage area of ​​50 km². 2 There are 23 rivers in total, including 18 mountain rivers with a total length of 659 km and 5 plain rivers with a total length of 59.6 km. They are also endowed with important social attributes. The Zhaoshandu Water Supply Project and Shanxi Water Conservancy Project on their main streams are the most important water sources for Wenzhou, and at the same time, they bear the comprehensive benefits of water supply, irrigation, power generation and flood control.

[0110] First, the Feiyunjiang River system was divided into eight parts according to water body type: Shanxi Reservoir, Zhaoshandu Reservoir, the Shan-Zhao section of the main stream, the section downstream of Zhaoshandu Reservoir on the main stream, Xuezuokou Creek, Yuquan Creek, Gaolou Creek, and Wenruitang River. Then, based on the characteristics of the Feiyunjiang River system, indicators for various water body types in the Feiyunjiang River basin in 2022 were refined and calculated across five criteria layers: hydrology, chemistry, morphology and structure, biology, and social services. The required measured data for each indicator were obtained. Sample values ​​and corresponding scores for each indicator in each river section were calculated using the measured data. The scores for each criterion layer and the comprehensive score for each river section were calculated based on the weights of each indicator. The selection of indicators, weights, and the calculation methods for sample values ​​and scores were based on the "Technical Assessment Guidelines for River and Lake Health" (SL / T793-2020). The weights and scores of different water body indicators in the Feiyunjiang River are shown in Tables 1 and 2 below.

[0111] Table 1. Scores of Ecological Health Evaluation Indicators for Reservoirs in the Feiyunjiang River Basin in 2022

[0112]

[0113] Table 2. Ecological Health Evaluation Indicator Scores for the Main and Tributary Streams of the Feiyun River Basin in 2022

[0114]

[0115]

[0116] Based on the obtained index scores and weights, the criteria layer scores for each section of the Feiyunjiang River system were obtained, and the specific calculation results are shown in Table 3.

[0117] Table 3 Scores of Criterion Layers for Each Section of the Feiyunjiang River System

[0118]

[0119] Furthermore, the sample values ​​and grade values ​​of the evaluation indicators were regularized, and a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers were constructed to conduct multivariate coupled evaluation. The specific calculation results are shown in Table 4. From the coupling level, it can be seen that the ecological health evaluation level of the water bodies in each region is between 1 and 2, that is, the health level of the water bodies in each region is between very healthy and healthy levels, but the degree of tendency is different.

[0120] Table 4. Comprehensive Evaluation Results of Each Section of the Feiyun River in 2022

[0121]

[0122] Finally, the Theil index was used to construct a spatial difference module for the entire river section, and the differences between water bodies and criterion layers in the entire river section were analyzed to gain an overall understanding of the differences in the health level of water bodies in the entire river section. The relative differences between different criterion layers in the Feiyunjiang River Basin and between different river sections are shown in Tables 5 and 6.

[0123] Table 5 Spatial differences in ecological health status among different river sections of the Feiyun River Basin in 2022

[0124]

[0125] Table 6. Spatial differences in ecological health status among different river sections in the Feiyunjiang River Basin in 2022 under different criterion layers.

[0126]

[0127] Overall, there are not significant differences between the regions. However, the Wenruitang River has the poorest ecological health, which contributes the most to the differences in the ecological health of the entire Feiyunjiang River basin, accounting for 47.63%. The ecological health of the Zhaoshandu Reservoir and the section of the main stream downstream of the Zhaoshandu Reservoir is better, and therefore also contributes significantly to the differences.

[0128] Looking at the differences between different criterion layers in various river sections, for the hydrological criterion layer, Shanxi Reservoir contributed the most but scored the lowest, while all other river sections scored 100 points in this criterion layer. For the chemical criterion layer, Wenruitang River and Zhaoshandu Reservoir contributed the most, with Zhaoshandu Reservoir scoring the highest while Wenruitang River only scored 50 points. This indicates that Wenruitang River seriously hinders the development of the criterion layer of water body chemical integrity in the Feiyun River basin, and particular attention needs to be paid to improving the water quality compliance of drinking water sources and the status of sediment pollution, two indicators with relatively low scores. For the morphological and structural criterion layer, Gaolouxi River and Xuezuokouxi River contributed significantly because of their high scores, while the other river sections generally scored low in this criterion layer, indicating that there are still many areas that need improvement in terms of river morphological and structural integrity. For the biological criteria layer, Shanxi Reservoir and Zhaoshandu Reservoir made significant contributions, scoring highly, indicating good biological integrity in these two reservoirs. However, the scores of the remaining river sections were poor, especially the Shanxi-Zhaoshandu section of the main stream, the section downstream of Zhaoshandu Reservoir, and the Wenruitang River, all scoring below 50. This severely impacted the overall score of this criterion layer in the Feiyunjiang River Basin, necessitating targeted solutions for protecting biodiversity and ecosystem integrity. For the social services criteria layer, the scores of each river section were relatively similar, all around 99. Future efforts to improve the ecological health of the Feiyunjiang River Basin should focus on the differences between river sections, proposing targeted solutions, addressing deficiencies as soon as possible, and catching up with leading sections to achieve an overall improvement in the ecological health of the basin.

[0129] In summary, the river health assessment method based on spatial difference analysis of the entire river section provided by this invention evaluates the river section from five aspects: hydrology, chemistry, morphology and structure, and biological and social services. It also establishes a spatial ecological health assessment difference module to comprehensively analyze the overall coordination of river ecological health across the entire river section. This provides decision-makers with a new reference for understanding the status of river construction and helps relevant departments strengthen the concept of coordinated development and scientifically and rationally formulate subsequent river management policies and measures.

[0130] Example 2:

[0131] like Figure 3 As shown, this embodiment of the invention provides a river health assessment device based on spatial difference analysis of the entire river section, which can be used to implement the method described in Embodiment 1. The device includes:

[0132] The segmentation module is used to divide the entire river section of the target watershed into regions with various water body types according to river characteristics;

[0133] The selection module is used to select multiple evaluation indicators from the set criteria layers for each type of water body.

[0134] The acquisition module is used to acquire the indicator data of each evaluation indicator for each region within a preset time period;

[0135] The multivariate coupled evaluation module is used to conduct multivariate coupled evaluation of each region based on the index data by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, so as to obtain the ecological health evaluation level of each region.

[0136] The spatial difference analysis module is used to analyze the relative differences between the evaluation perspectives and the spatial ecological health of the entire river section using the Theil index, in order to obtain the coordinated status of the water ecological health of the target watershed.

[0137] The river health assessment device based on spatial difference analysis of the entire river section provided in this embodiment of the invention is based on the same technical concept as the river health assessment method based on spatial difference analysis of the entire river section provided in Embodiment 1, and can produce the beneficial effects described in Embodiment 1. For the contents not described in detail in this embodiment, please refer to Embodiment 1.

[0138] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0139] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0140] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0141] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0142] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for river health assessment based on spatial difference analysis across the entire river segment, characterized in that, include: The entire river section of the target basin is divided into regions with various water body types according to river characteristics; For each type of water body, multiple evaluation indicators are selected from the established criteria layers. Obtain the indicator data for each evaluation indicator in each region within a preset time period; Based on the aforementioned indicator data, a multivariate coupled evaluation of each region is conducted by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, in order to obtain the ecological health evaluation level of each region. The process of obtaining the ecological health assessment level of each region includes the following steps: Based on the obtained indicator data of each region, the first evaluation level of water ecological health of each region was calculated by constructing a POME fuzzy evaluation model. Based on the obtained indicator data of each region, the second evaluation level of water ecological health of each region was calculated by constructing a set pair analysis model based on triangular fuzzy numbers. The average value of the first evaluation level and the second evaluation level is calculated to obtain the ecological health evaluation level of each region. The steps for calculating the first evaluation level of aquatic ecological health for each region based on the acquired indicator data of each region by constructing a POME fuzzy evaluation model include: Sample values ​​of each indicator obtained from the region to be evaluated and grading standard values The matrix formed and Standardized into fuzzy matrices respectively and ; A Lagrangian function is constructed with the objective of minimizing the generalized weighted distance between the samples to be evaluated and each level standard, and maximizing the Shannon entropy. This yields the optimal membership fuzzy matrix based on POME fuzzy evaluation. ,in The calculation formula is: （1） In the formula: B is the weighting factor; w i e represents the weight of the i-th indicator; ih f is the standardized value of the h-th level grading standard value of the i-th indicator; i The value of the i-th indicator is the standardized value of the sample values; u h is the membership degree of the sample population to the h-th level; m is the number of indicators; k is the number of evaluation levels; Based on the optimal membership degree fuzzy matrix The formula for calculating the first evaluation level of the aquatic ecological health of the area to be evaluated is as follows: （2） In the formula: u h is the membership degree of the sample population of the region to be evaluated to level h; k is the number of levels; A is the total membership degree, i.e., the first evaluation level of the region to be evaluated; The steps for calculating the second evaluation level of aquatic ecological health for each region based on the acquired indicator data of each region by constructing a set pair analysis model based on triangular fuzzy numbers include: Based on the principle of likeness, difference, and inverse in set pair analysis, a pentagonal relationship coefficient is constructed between the sample values ​​of the region to be evaluated and the river's ecological health assessment level. Its expression is as follows: （3） In the formula, c is the number of connections for the i-th indicator sample; i s represents the sample value of the i-th indicator; ih Let h be the grading standard value of the h-th level of the i-th indicator, where h = 1, 2, ..., k; These are the difference coefficients of the i-th indicator deviating from the 2nd, 3rd, and 4th levels, respectively; ; is the opposition coefficient of the i-th indicator sample value; The classification standard value s is determined using the special value method of analytical value selection. i2 s i3 s i4 The difference coefficients at each location are taken as i. 1i =0.5, i 2i =0, i 3i =-0.5; Introducing the triangular fuzzy number to represent the fuzziness of the difference coefficient, its formula is: （4） Based on the five-element correlation coefficient, the calculation formula for the second assessment level of the aquatic ecological health of the area to be evaluated is as follows: （5） In the formula: Z represents the second evaluation level of the area to be evaluated, w i Let be the weight of the i-th indicator; Let m be the number of connections for the i-th indicator sample, and m be the number of indicators. The Theil index was used to analyze the relative differences between the evaluation perspectives and the spatial distribution of river ecological health across the entire river section, in order to obtain the coordinated status of water ecological health in the target watershed.

2. The river health assessment method based on spatial difference analysis of the entire river section according to claim 1, characterized in that, The water body types include reservoirs, main streams, and tributaries; the criteria layers include hydrological criteria layer, chemical criteria layer, morphological and structural criteria layer, biological criteria layer, and social service criteria layer.

3. The river health assessment method based on spatial difference analysis of the entire river section according to claim 2, characterized in that, The selection of multiple evaluation indicators from the established criteria layers for each water body type region includes: The evaluation indicators selected for reservoirs from the hydrological criteria layer include: water resource development and utilization rate, and the satisfaction of downstream ecological base flow. The evaluation indicators selected for reservoirs from the chemical criteria layer include: water quality status, drinking water source quality compliance status, nutrient status, sediment pollution status, and water function zone compliance rate. The evaluation indicators selected for reservoirs from the morphological and structural criteria layer include: shoreline ecological index, reservoir vegetation coverage, and reservoir human disturbance status. Evaluation indicators selected from the biological control layer for reservoirs include: phytoplankton density, macrobenthic invertebrate community composition, and fish population index. The evaluation indicators selected for reservoirs from the social service criteria level include: public satisfaction, flood control indicators, and water supply indicators. The evaluation indicators selected from the hydrological criteria layer for both the main stream and tributaries include: water resource development and utilization rate, flow process variability, and ecological flow satisfaction. The evaluation indicators selected from the chemical criteria layer for both the main stream and tributaries include: water quality status, drinking water source quality compliance status, sediment pollution status, and water function zone compliance rate. The evaluation indicators selected from the morphological and structural criteria layer for both the main stream and tributaries include: river longitudinal connectivity index, shoreline ecological index, riparian vegetation coverage, and riparian human disturbance status. The evaluation indicators selected from the biological criteria layer for both the main stream and tributaries include: macrobenthic invertebrate community composition, phytoplankton density, and fish retention index; The evaluation indicators selected from the social service criteria level for both the main stream and tributaries include: public satisfaction, flood control indicators, and water supply indicators.

4. The river health assessment method based on spatial difference analysis of the entire river section according to claim 1, characterized in that, The indicator data includes the sample value, grading standard value, weight, and corresponding score for each indicator.

5. The river health assessment method based on spatial difference analysis of the entire river section according to claim 1, characterized in that, The ecological health evaluation level is divided into five levels: 1, 2, 3, 4, and 5, which correspond to the health status categories of very healthy, healthy, sub-healthy, unhealthy, and pathological, respectively.

6. The river health assessment method based on spatial difference analysis of the entire river segment according to any one of claims 1 to 5, characterized in that, The steps for analyzing the relative differences between each evaluation perspective and the spatial distribution of river ecological health across the entire river section using the Theil index include: The Theil index was used to analyze the differences between regions throughout the entire river stretch. The formula for its calculation is as follows: （6） In the formula, T b The Theil index, representing the differences across all river segments within a target watershed; T bp n represents the Theil index of region p in the entire river segment; p n represents the minimum number of units contained in region p. p =1; n represents the minimum number of units contained in the entire river segment, n=p; HI p HI represents the score of the ecological health level of region p; HI represents the mean score of the ecological health level of the entire river section. The contribution of region p to the spatial variation across the entire river segment is: T bp / T b ×100%; The Theil index was used to analyze the differences among regions of each criterion layer throughout the river stretch. The calculation formula is as follows: （7） In the formula, T c The Theil index, representing the differences in the analyzed criterion layers across the entire river section; T cp This represents the Theil index of region p in the criterion layer; HZ p HZ represents the ecological health score of region p in this criterion layer; HZ represents the mean ecological health score of the entire river section in this criterion layer. The contribution of region p to the spatial variation of this criterion layer across the entire river segment is: T cp / T c ×100%.

7. A river health assessment device based on spatial difference analysis of the entire river section, characterized in that, The apparatus employing the river health assessment method based on spatial difference analysis across the entire river segment as described in any one of claims 1 to 6 comprises: The segmentation module is used to divide the entire river section of the target watershed into regions with various water body types according to river characteristics; The selection module is used to select multiple evaluation indicators from the set criteria layers for each type of water body. The acquisition module is used to acquire the indicator data of each evaluation indicator for each region within a preset time period; The multivariate coupled evaluation module is used to conduct multivariate coupled evaluation of each region based on the index data by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, so as to obtain the ecological health evaluation level of each region. The spatial difference analysis module is used to analyze the relative differences between the evaluation perspectives and the spatial ecological health of the entire river section using the Theil index, in order to obtain the coordinated status of the water ecological health of the target watershed.

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