Intelligent evaluation and diagnosis method and equipment for health of rivers and lakes

Abstract

The invention relates to the technical field of river and lake health evaluation and diagnosis, in particular to a river and lake health intelligent evaluation and diagnosis method, which comprises the following steps of: 1, establishing a river and lake evaluation index system; 2, river and lake characteristic analysis is performed for rating, and the river and lake are equally divided into a class A, a class B and a class C according to the watershed area of the river and the perennial water surface area of the lake; thirdly, determining the weight of the criterion layer according to the main body function; fourthly, if the drainage basin areas (water surface areas) of the B-class and C-class rivers and lakes are small, the indexes which can best represent the characteristics of the rivers and lakes are selected, and if the evaluation indexes are few, the weights of the indexes of the B-class and C-class rivers and lakes are determined; and 5, inputting the index value for evaluation, wherein the result shows an index layer score, a criterion layer score and a total evaluation score. According to the method, indexes and weights are automatically distributed according to characteristics such as categories, levels, partitions and functions of rivers and lakes, a river and lake manager is helped to formulate more objective and scientific management protection countermeasures, and the efficiency and precision of river and lake health evaluation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of river and lake health assessment and diagnosis, and in particular to a method and equipment for intelligent river and lake health assessment and diagnosis. Background Art

[0002] At present, river health assessment mainly includes water quality assessment, biological assessment, water ecological civilization assessment, etc. The evaluation methods mainly include ecological monitoring index method and index system comprehensive evaluation method. In view of the problems such as the lack of unified standards in current river and lake health assessment methods, the lack of scientific basis for indicator and weight selection, the overly complex calculation of some indicators, the need to improve the accuracy, and the failure to achieve real-time dynamic evaluation and early warning, a set of intelligent river and lake health assessment and diagnosis methods and equipment were invented. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a method and equipment for intelligent evaluation and diagnosis of river and lake health.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: a method for intelligent evaluation and diagnosis of river and lake health, including the following steps:

[0005] First, establish a river and lake evaluation index system, which includes the criteria layer and the index layer;

[0006] Second, the river and lake characteristics are analyzed and rated, and the rivers are divided into Class A, Class B and Class C according to the river basin area and the annual water surface area of ​​the lake;

[0007] Third, for Class A rivers and lakes, the weight of the criterion layer is determined according to its main functions, which are defined as: water supply / irrigation, waterfront landscape, ecological conservation and comprehensive conditions;

[0008] Fourth, the drainage area (water surface area) of Class B and Class C rivers and lakes is relatively small, so the assessment emphasizes operability and monitorability, takes into account representativeness and economy, selects the indicators that best represent the characteristics of rivers and lakes, and has relatively few assessment indicators, so as to determine the weights of Class B and Class C river and lake indicators;

[0009] Fifth, input the index value for evaluation. The result shows the index layer score, criterion layer score, and total evaluation score. For the index with a total score lower than 75 points (i.e. sub-health status or below), the background will automatically issue an early warning. The total score calculation formula is as follows:

[0010]

[0011] Where: RHI – total score for evaluating river or lake health;

[0012] ZBnw——the weight of the nth indicator in the indicator layer;

[0013] ZBnr——the score of the nth indicator in the indicator layer;

[0014] YMBmw——The weight of the mth criterion layer.

[0015] Preferably, the criteria layers for the health of A, B, and C types of rivers and lakes are divided into “basin,” “water,” biological, and social service functions.

[0016] Preferably, the health evaluation indicators of Class B and Class C rivers are divided into natural conditions of the shoreline, degree of ecological flow satisfaction, water quality, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, flood control compliance rate, and public satisfaction.

[0017] Preferably, the health evaluation indicators of Class B and Class C lakes are divided into natural conditions of the shoreline, degree of satisfaction of the minimum ecological water level, degree of water quality, nutrient status of the lake, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, phytoplankton density, and public satisfaction.

[0018] Preferably, the health evaluation indicators of Class A rivers are divided into natural conditions of shorelines, river longitudinal connectivity index, riverbank width index, ecological flow satisfaction degree, water resources development and utilization rate, flow process variability degree, water quality quality, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, fish retention index, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee degree, centralized drinking water source water quality compliance rate, navigation guarantee rate, shoreline utilization management index, and public satisfaction.

[0019] Preferably, the health evaluation indicators of Class A lakes are divided into natural conditions of the shoreline, proportion of lake area shrinkage, lake connectivity index, degree of satisfaction of the minimum ecological water level, water resource development and utilization rate, degree of variation of the inflow process into the lake, degree of water quality, lake nutrient status, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, phytoplankton density, fish retention index / fish diversity index, water bird status, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee degree, centralized drinking water source water quality compliance rate, shoreline utilization management index, and public satisfaction.

[0020] Preferably, the drainage area of ​​Class A rivers is ≥ 3000km 2 , Category B rivers have a drainage area of ​​≥200 and <3000km 2 , the drainage area of ​​Class C rivers is less than 200km 2 , Class A lakes have a permanent water surface area of ​​≥ 20 km 2 , Class B lakes have a permanent water surface area of ​​≥5 and <20km 2 、The annual water surface area of ​​Class C lakes is less than 5km 2 .

[0021] The invention also discloses a device for intelligent evaluation and diagnosis of river and lake health, including a computer, wherein the computer is composed of a processor, a memory, a USB interface and a video signal interface.

[0022] Preferably, a function algorithm program for evaluating the calculation formula for river and lake health is stored in the memory, and the processor is used to execute the function algorithm program, quickly perform evaluation calculations after inputting indicator values, and intelligently extract corresponding suggestions from the measure suggestion database based on the indicator scores to intelligently generate an evaluation report.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The present invention automatically allocates indicators and weights according to the characteristics of river and lake categories, levels, divisions and functions, and automatically forms an evaluation index system for the river (lake). After the indicator value is input, the evaluation calculation is quickly performed through the calculation formula, and real-time early warning of river and lake problems is given according to the threshold of the total score. The system generates an intelligent diagnosis report to help river and lake managers formulate more objective and scientific management and protection measures, and improve the efficiency and accuracy of river and lake health evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of the method for intelligent evaluation and diagnosis of river and lake health of the present invention;

[0026] Figure 2 This is a system diagram of the equipment for intelligent evaluation and diagnosis of river and lake health of the present invention. DETAILED DESCRIPTION

[0027] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0028] like Figure 1 The method for intelligent evaluation and diagnosis of river and lake health shown includes the following steps:

[0029] First, establish a river and lake evaluation index system, which includes the criteria layer and the index layer.

[0030] The river indicator system is shown in the following table:

[0031]

[0032]

[0033] The lake indicator system is shown in the following table:

[0034]

[0035] Second, river and lake characteristics are analyzed and rated. According to the river basin area and the annual water surface area of ​​the lake, they are divided into Class A, Class B and Class C. The criteria for the health of Class A, B and C rivers and lakes are divided into "basin", "water", biological and social service functions. The basin area of ​​Class A rivers is ≥3000km 2 , Category B rivers have a drainage area of ​​≥200 and <3000km 2 , the drainage area of ​​Class C rivers is less than 200km 2 , Class A lakes have a permanent water surface area of ​​≥ 20 km 2 , Class B lakes have a permanent water surface area of ​​≥5 and <20km 2 、The annual water surface area of ​​Class C lakes is less than 5km 2 , as shown in the following table:

[0036] level <![CDATA[River (basin area km 2 )]]> <![CDATA[Lake (perennial water surface area in km 2 )]]> A ≥3000 ≥20 B ≥200 and <3000 ≥5 and <20 C ＜200 ＜5

[0037] Third, for Class A rivers and lakes, the weight of the criterion layer is determined according to its main functions, which are defined as: water supply / irrigation, waterfront landscape, ecological conservation and comprehensive conditions.

[0038] Water supply / irrigation: The evaluated river section or lake division mainly provides water for farmland or irrigation areas along the river, urban production and life, etc.;

[0039] Waterfront landscape: The infrastructure along the evaluated river section or lake area is relatively sound and can meet people's needs for water-loving, leisure, entertainment and fitness;

[0040] Ecological conservation: The river sections or lake sub-areas under evaluation are mostly nature reserves, ecological function protection areas, scenic spots, aquatic germplasm resource protection areas, etc., and are less disturbed by human activities;

[0041] Comprehensive situation: Evaluate the situation where the river section or lake division has two or more main functions such as water supply / irrigation, waterfront landscape, and ecological conservation.

[0042] According to the main functions of rivers and lakes, the weights of the criterion layers are set as follows:

[0043]

[0044] The drainage area (water surface area) of Class B and Class C rivers and lakes is relatively small. The assessment emphasizes operability and monitorability, takes into account representativeness and economy, selects the indicators that best represent the characteristics of rivers and lakes, and has relatively few assessment indicators to determine the weights of Class B and Class C river and lake indicators; Class B and Class C river health evaluation indicators are divided into natural shoreline conditions, ecological flow satisfaction, water quality, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, flood control compliance rate, and public satisfaction; Class B and Class C lake health evaluation indicators are divided into natural shoreline conditions, minimum ecological water level satisfaction, water quality, lake nutrient status, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, phytoplankton density, and public satisfaction. Among them:

[0045] The weights of the assessment indicators for Class B and Class C rivers are shown in the following table:

[0046]

[0047] The weights of the evaluation indicators for Class B and Class C lakes are shown in the following table:

[0048]

[0049]

[0050] Fifth, input the index value for evaluation. The result shows the index layer score, the criterion layer score, and the total score. For the index with a total score lower than 75 points (i.e. sub-health status or below), the background will automatically issue an early warning and automatically match the measure suggestions from the database according to the index, region, main function, etc. The total score calculation formula is as follows:

[0051]

[0052] Where: RHI – total score for evaluating river or lake health;

[0053] ZBnw——the weight of the nth indicator in the indicator layer;

[0054] ZBnr——the score of the nth indicator in the indicator layer;

[0055] YMBmw——The weight of the mth criterion layer.

[0056] The database of measures and suggestions is established in the following form:

[0057]

[0058] The health evaluation indicators of Class A rivers are divided into natural shoreline conditions, river longitudinal connectivity index, riverbank width index, ecological flow satisfaction, water resources development and utilization rate, flow process variation, water quality, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, fish retention index, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee level, centralized drinking water source water quality compliance rate, navigation guarantee rate, shoreline utilization management index, and public satisfaction. The table below shows all indicators when all are selected:

[0059]

[0060]

[0061] The health evaluation indicators of Class A lakes are divided into natural shoreline conditions, lake area shrinkage ratio, lake connectivity index, minimum ecological water level satisfaction, water resource development and utilization rate, degree of variation in inflow process, water quality, lake nutrient status, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, phytoplankton density, fish retention index / fish diversity index, water bird status, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee level, centralized drinking water source water quality compliance rate, shoreline utilization management index, and public satisfaction. The table below shows the results of selecting all indicators:

[0062]

[0063]

[0064] In the present invention, when a certain indicator is not selected, the weight of the criterion layer should be kept unchanged, and the weight of the indicator should be proportionally distributed to other indicators in the criterion layer.

[0065] like Figure 2 As shown, the present invention also discloses a device for intelligent evaluation and diagnosis of river and lake health, including a computer, the computer is composed of a processor, a memory, a USB interface and a video signal interface, the memory stores a function algorithm program for evaluating the calculation formula of river and lake health, the processor is used to execute the function algorithm program, after the indicator value is input through the keyboard and mouse, the function algorithm program quickly performs evaluation calculations, and intelligently extracts corresponding suggestions from the measure suggestion database according to the indicator score, and intelligently generates an evaluation report, if the total score is lower than 75 points, the processor controls the alarm to sound an alarm to serve as a reminder.

[0066] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for intelligent evaluation and diagnosis of river and lake health, characterized in that: The following steps are involved: First, establish a river and lake evaluation index system, which includes the criteria layer and the index layer; Second, the rating is based on the analysis of river and lake characteristics, and is divided into Class A, Class B and Class C according to the river basin area and the annual water surface area of ​​the lake; Third, for Class A rivers and lakes, the weight of the criterion layer is determined according to its main functions, which are defined as: water supply / irrigation, waterfront landscape, ecological conservation and comprehensive conditions; Fourth, the drainage area (water surface area) of Class B and Class C rivers and lakes is relatively small, so the assessment emphasizes operability and monitorability, takes into account representativeness and economy, selects the indicators that best represent the characteristics of rivers and lakes, and has relatively few assessment indicators, so as to determine the weights of Class B and Class C river and lake indicators; Fifth, input the index value for evaluation. The result shows the index layer score, criterion layer score, and total evaluation score. For the index with a total score lower than 75 points (i.e. sub-health status or below), the background will automatically issue an early warning. The total score calculation formula is as follows: Where: RHI – total score for evaluating river or lake health; ZBnw——the weight of the nth indicator in the indicator layer; ZBnr——the score of the nth indicator in the indicator layer; YMBmw——The weight of the mth criterion layer.

2. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1 is characterized in that: The criteria layers for the health of A, B and C rivers and lakes are divided into "basin", "water", biological and social service functions.

3. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1 is characterized in that: The health evaluation indicators of Class B and Class C rivers are divided into natural conditions of the shoreline, ecological flow satisfaction level, water quality, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, flood control compliance rate, and public satisfaction.

4. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1, characterized in that: The health evaluation indicators of Class B and Class C lakes are divided into natural conditions of the shoreline, degree of satisfaction of the minimum ecological water level, degree of water quality, nutrient status of the lake, fish retention index / fish diversity index / large benthic invertebrate biodiversity index, phytoplankton density, and public satisfaction.

5. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1 is characterized in that: The health evaluation indicators of Class A rivers are divided into natural conditions of the shoreline, river longitudinal connectivity index, river bank width index, ecological flow satisfaction degree, water resources development and utilization rate, flow process variability degree, water quality quality, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, fish retention index, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee degree, centralized drinking water source water quality compliance rate, navigation guarantee rate, shoreline utilization management index, and public satisfaction.

6. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1 is characterized in that: The health evaluation indicators of Class A lakes are divided into natural conditions of the shoreline, proportion of lake area shrinkage, lake connectivity index, degree of satisfaction of the minimum ecological water level, water resource development and utilization rate, degree of variability in the flow process into the lake, degree of water quality, lake nutrient status, sediment pollution status / heavy metal pollution risk, water body self-purification capacity, phytoplankton density, fish retention index / fish diversity index, water bird status, large benthic invertebrate integrity index, aquatic plant community status, flood control compliance rate, water supply volume guarantee degree, water quality compliance rate of centralized drinking water sources, shoreline utilization management index, and public satisfaction.

7. The method for intelligent evaluation and diagnosis of river and lake health according to claim 1, characterized in that: Category A rivers have a drainage area of ​​≥ 3000km 2 , Category B rivers have a drainage area of ​​≥200 and <3000km 2 , the drainage area of ​​Class C rivers is less than 200km 2 , Class A lakes have a permanent water surface area of ​​≥ 20 km 2 , Class B lakes have a permanent water surface area of ​​≥5 and <20km 2 、The annual water surface area of ​​Class C lakes is less than 5km 2 .

8. According to the contents of claims 1-7, a device for intelligent evaluation and diagnosis of river and lake health is disclosed, characterized in that: The computer comprises a processor, a memory, a USB interface and a video signal interface.

9. The device for intelligent evaluation and diagnosis of river and lake health according to claim 8, characterized in that: The memory stores a function algorithm program for calculating the formula for evaluating the health of rivers and lakes. The processor is used to execute the function algorithm program, quickly perform evaluation calculations after inputting indicator values, and intelligently extract corresponding suggestions from the measure suggestion database based on the indicator scores to intelligently generate an evaluation report.

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