CN111369106A - Health evaluation method suitable for lake benthic ecosystem - Google Patents
Health evaluation method suitable for lake benthic ecosystem Download PDFInfo
- Publication number
- CN111369106A CN111369106A CN202010095017.5A CN202010095017A CN111369106A CN 111369106 A CN111369106 A CN 111369106A CN 202010095017 A CN202010095017 A CN 202010095017A CN 111369106 A CN111369106 A CN 111369106A
- Authority
- CN
- China
- Prior art keywords
- index
- health
- integrity
- grade
- assigned
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention belongs to the field of environmental protection, and particularly relates to a method for evaluating the health of a lake benthic ecosystem, which comprises the following steps: (1) determining sampling points and collecting samples; (2) establishing a comprehensive evaluation index system of a hierarchical structure; (3) calculating each index value and determining a reference point; (4) screening various biological integrity indexes, and determining a biological integrity index assigning standard; (5) screening a chemical integrity index, and determining a chemical integrity index assigning standard; (6) determining the relative weight between each index layer and each layer by adopting an analytic hierarchy process; (7) and (4) obtaining the integrality score of the benthic ecosystem according to weight accumulation, and dividing the health grade. The method can comprehensively and systematically reflect the real health state of the benthic ecosystem, and further provides a basis for selecting a pollution control technology in ecological management.
Description
Technical Field
The invention relates to the field of ecological environment evaluation and treatment, in particular to a health evaluation method suitable for a lake benthic ecosystem.
Background
In the lake ecosystem, sediments are the source and sink of pollutants, and although some ecological management adopts pollution exogenous control, the pollutants in the sediments can migrate into a water body over time to cause endogenous pollution, so that the endogenous pollution is the main problem of the lake. At present, the method for reducing endogenous pollution mainly has two aspects, namely in-situ purification, and reduction of endogenous pollution is realized by artificially strengthening the self-purification function of an own ecological system; and secondly, aiming at the areas with large bottom sediment pollution and serious damage to the benthic ecosystem, the dredging method is mainly adopted because the bottom sediment is difficult to self-clean, but the original ecosystem is damaged by the dredging technology. Therefore, before the development of endogenous pollution control, the benthic ecological health needs to be comprehensively evaluated, and technical support is provided for reasonably selecting an endogenous pollution reduction technology.
In the existing method for evaluating the health of the lake ecosystem, the main evaluation indexes are biological integrity and chemical integrity indexes, wherein the biological integrity indexes mainly comprise a benthonic animal integrity index, a plant integrity index, a microorganism integrity index and the like; the chemical integrity indexes mainly comprise single indexes of reaction water quality such as dissolved oxygen, chemical oxygen demand, total nitrogen, total phosphorus and the like, and comprehensive indexes of eutrophication of reaction water bodies such as comprehensive nutritional state indexes and the like. The research results of the existing documents show that a plurality of lake sediments are seriously polluted by heavy metals, and the existing index for evaluating the health of the lake benthic ecosystem does not reflect the indexes of the pollution of the heavy metals of the sediments. Therefore, the problem that the health evaluation level is inconsistent with the actual situation exists in the actual lake benthonic ecological health evaluation process.
In the practical process of evaluating the benthic ecological health of the lake, the invention discovers that for the lake with low nitrogen and phosphorus pollution of the water body and large heavy metal pollution of sediments, the chemical integrity is reacted only by using indexes such as dissolved oxygen and comprehensive nutritional state index, and the obtained evaluation result of the benthic ecological health of the lake is not in accordance with the actual situation, and the error evaluation that the heavy metal pollution of the sediments is serious and the health evaluation is excellent occurs. Therefore, the benthic health assessment scheme which only utilizes indexes such as comprehensive nutritional state index and the like to reflect chemical integrity is one-sided according to the prior art.
Disclosure of Invention
The invention overcomes the defects of the prior art, focuses on the lake benthic ecosystem, provides a health evaluation method suitable for the lake benthic ecosystem, constructs an evaluation index system of the integrity of the benthic ecosystem from two aspects of the chemical integrity and the integrity of benthic organisms of the lake, and comprehensively evaluates the health condition of the benthic ecosystem, optionally, the method specifically comprises the following steps:
(1) determining sampling points and collecting samples;
(2) establishing a comprehensive evaluation index system of a hierarchical structure;
(3) calculating each index value and determining a reference point;
(4) screening various biological integrity indexes, and determining a biological integrity index assigning standard;
(5) screening a chemical integrity index, and determining a chemical integrity index assigning standard;
(6) determining the relative weight between each index layer and each layer by adopting an analytic hierarchy process;
(7) and (4) obtaining the integrality score of the benthic ecosystem according to weight accumulation, and dividing the health grade.
Further, in the step (2), the evaluation index system is divided into three layers, namely a target layer, a criterion layer and an index layer; the target layer is the integrity of the lake benthic ecosystem, the standard layer is the chemical integrity and the biological integrity, the index layer of the chemical integrity is the dissolved oxygen state, the comprehensive nutritional state index and the index of the heavy metal pollution condition in the reaction sediments, and the index layer of the biological integrity is the integrity index of the benthic animals, the integrity index of the submerged plants and the integrity index of microorganisms.
Further, the dissolved oxygen state is characterized by a dissolved oxygen concentration; the comprehensive nutritional state index selects four parameters of chlorophyll a (chl a), Total Nitrogen (TN), Total Phosphorus (TP) and Chemical Oxygen Demand (COD); the pollution condition of heavy metals in the sediment adopts the geological accumulation index (I) of 7 heavy metals of arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn)geo) To characterize.
Further, in the step (3), the method for determining the biological integrity reference point is to determine the reference point location by using water quality and human activity indexes; no village, no artificial breeding industry, no entertainment function, DO, COD, TN, TP, NH around3And setting sampling points in N which meet the national surface water class III standard as much as possible and meet the two indexes as reference points.
Further, in the step (4), the assigning method of the biological integrity index includes: taking a 25% quantile of the distribution of the biological integrity index (IBI) value of the reference point as a critical point for health grade division, and taking the health state when the IBI value is greater than the 25% quantile value (grade is assigned to be 80-100); the distribution range of quantiles less than 25% is divided by 4 to determine sub-health status (grade assigned 60-80), general status (grade assigned 40-60), micro-morbid status (grade assigned 20-40) and morbid status (grade assigned 0-20).
Further, in the step (5), the maximum value of the dissolved oxygen concentration of all the sampling points is assigned to 100 points according to the actual situation, and specific assigned standards of the dissolved oxygen state and the health grade are shown in table 1.
TABLE 1 score standard for dissolved oxygen and health grade table
The comprehensive nutritional status index range is 0-100, the health is divided into 5 grades, and the assigning standard is shown in table 2.
TABLE 2 comprehensive nutrition status index assignment standard and health grade table
And selecting one of the 7 heavy metals with the most serious pollution as a heavy metal pollution condition index, assigning a score to the index, and assigning a score to be 100 according to the minimum value of geological accumulation indexes of all sampling points according to the actual situation, wherein the specific assigning standard is shown in table 3.
TABLE 3 geological accumulation index scoring standards and health grade Table
Further, in the step (6), the analytic hierarchy process compares relative importance degrees between every two indexes to construct a judgment matrix, and the maximum eigenvalue and the corresponding eigenvector are subjected to consistency test to obtain the weight value of each index.
Further, in the step (7), the benthic ecosystem integrity score is calculated by the following formula:
BEHI＝Ii×Wi
in the formula: BEHI (Benthic ecosystem health index) is the benthic ecosystem health score; i isiScoring the ith index; wiIs the ith index weight.
Compared with the prior art, the method disclosed by the invention is used for evaluating the health of the lake benthic ecosystem, and finds that the benthic health evaluation scheme only utilizing dissolved oxygen and comprehensive nutritional state index reaction chemical integrity is one-sided, so that the geological accumulation index is increased as an index of the reaction chemical integrity for lakes with heavy metal pollution of bottom sediment, and an index system is further perfected. Specifically, the invention has the following innovation points compared with the prior art:
the invention aims at the lake benthic ecosystem, perfects the prior evaluation index system, takes the benthic animal integrity index, the submerged plant integrity index and the microorganism integrity index as the biological integrity index, and takes the dissolved oxygen index, the comprehensive nutrition index and the geological accumulation index as the chemical integrity index. Can comprehensively and scientifically reflect the health condition of the benthic ecology of the lake.
Drawings
FIG. 1 shows a flow chart of a health evaluation method suitable for a lake benthic ecosystem.
Detailed Description
Examples
The invention is further illustrated by the following examples and comparative examples, a health evaluation method suitable for lake benthic ecosystem, the flow chart of the method is shown in figure 1, and the detailed steps are as follows:
(1) the method comprises the steps of determining sampling points, collecting samples, collecting 9 sites in a lake, measuring the concentration of dissolved oxygen on site, taking a water sample, bringing the water sample back to a laboratory to measure the chemical oxygen demand, total nitrogen, total phosphorus and ammonia nitrogen, collecting surface sediments, bringing the surface sediments back to the laboratory to measure the content of arsenic, cadmium, chromium, copper, nickel, lead and zinc, bringing benthonic animals back to the laboratory to perform species identification, recording the number of individuals, calculating the biomass of submerged plants, and obtaining relative abundance of species from phylum to genus level of microorganisms and α diversity indexes, namely Shannon index, Simpson index, Chao1 index, observed _ speces and PD _ Whole _ tree, through a sequencing technology.
(2) And constructing an evaluation index system with a hierarchical structure. The evaluation index system is divided into three layers, namely a target layer, a criterion layer and an index layer; the target layer is the integrity of the lake benthic ecosystem, the standard layer is the chemical integrity and the biological integrity, the index layer of the chemical integrity is dissolved oxygen, a comprehensive nutritional state index and a geological accumulation index, and the index layer of the biological integrity is the integrity index of the benthic animals, the integrity index of submerged plants and the integrity index of microorganisms.
Among the candidate indices for the benthic animal integrity index are five types: reflecting the abundance of organisms, reflecting the biological composition, reflecting the pollution resistance of organisms, reflecting the nutritional level composition and reflecting the indexes of the habitat quality. The indexes reflecting the abundance of organisms are as follows: total taxon, EPT taxon, chironomid taxon, mollusk taxon, diptera taxon, and Shannon-Wiener diversity index; the indexes reflecting the biological composition are as follows: dominance classifier unit population percentage, chironomid population percentage, dipteran population percentage, oligotrichome population percentage, and mollusk population percentage; the indexes reflecting the biological pollution resistance are as follows: the number of sensitive class group classification units, the number of stain-resistant class group classification units, HBI, the percentage of sensitive class group classification units, the percentage of stain-resistant class group classification units, the percentage of sensitive class group individuals and the percentage of stain-resistant class group individuals; the indexes reflecting the nutritional level composition are as follows: predator individual percentage, direct collector individual percentage, filter collector individual percentage, and scrape individual percentage; the indexes reflecting the habitat quality are as follows: individual percentage of adherends.
There are three types of candidate indicators of submerged plant integrity index: the abundance and composition of reactive species, the diversity of reactive communities and the tolerance of reactive species. The indexes of abundance and composition of the reaction species are as follows: submerged plant species number, annual plant species abundance, perennial plant species abundance, annual plant percentage, perennial plant percentage, annual/perennial plant and facultative propagule percentage; the indexes of the diversity of the reaction community are as follows: simpson index, Shannon-wiener index, and evenness index; indicators of reactive species tolerance are: percentage of tolerant plants, percentage of sensitive plants, number of tolerant plants and number of sensitive plants.
There are two types of candidate indicators of microbial integrity index: reflecting community diversity and indexes reflecting community composition. The indexes of the diversity of the reaction community are as follows: simpson index, Shannon-wiener index, Chao1 index, observed _ speces, and PD _ Whole _ tree; the indexes reflecting the composition of the community are: highest predominant taxon abundance, top 2 predominant taxon abundance, top 3 predominant taxon abundance, top 4 predominant taxon abundance, top 5 predominant taxon abundance, BFG/a, and% FCA.
(3) And determining the assigning standard and the health grade assigning standard of each index according to the characteristics of the chemical integrity index.
The health grade score and the score standard of the dissolved oxygen condition are shown in table 4.
TABLE 4 mark standard table of dissolved oxygen condition
The comprehensive nutritional status index range is 0-100, the health is divided into 5 grades, and the assigning standard and the health grade dividing standard are shown in table 5.
TABLE 5 assignment standard table of comprehensive nutrition status
Heavy metal pollution is classified into 5 grades according to the geological accumulation index, and the assigning standard and the health grade classifying standard are shown in table 6.
TABLE 6 assignment standard table for heavy metal pollution status
(4) And determining the relative weight between each index layer and each layer by adopting an analytic hierarchy process. Biological indexes and chemical indexes are equally important to the health of the lake; the biological index layer comprises three types of organisms, and the benthonic animals, submerged plants and microorganisms have the same importance on lakes; in the chemical index layer, compared with the dissolved oxygen state, the important degree of the comprehensive nutritional state and the heavy metal pollution state is twice, and compared with the heavy metal pollution state, the important degree of the comprehensive nutritional state is twice. After hierarchical sequencing and consistency inspection, the index weight of each level is obtained as follows: the biological integrity index weight is 1/2, the chemical integrity index weight is 1/2, the benthic animal integrity index weight is 1/6, the submerged plant integrity index weight is 1/6, the microbial integrity index weight is 1/6, the dissolved oxygen concentration weight is 0.0979, the comprehensive nutritional status index weight is 0.2467, and the geological accumulation index weight is 0.1554.
(5) A reference point for assessing biological integrity is determined. And selecting three reference points from 9 sampling points according to the data obtained by three times of sampling and the analysis of the activity condition of surrounding human beings, wherein the rest reference points are damaged points, and the reference points are numbered as No. 7, No. 8 and No. 9.
(6) And calculating each index value, determining the assigning standard of each biological integrity index, accumulating according to the weight to obtain the integrity score of the benthic ecosystem, and assigning the health grade.
The core indexes of the three biological integrity indexes are screened out through distribution range analysis, discrimination capability analysis and correlation analysis of the candidate indexes, the core indexes represent the biological integrity indexes, and the core indexes for obtaining the integrity of the benthonic animals after screening comprise: 7 indexes of total classification unit number, chironomid individual percentage, sensitive group classification unit number, pollution-resistant group classification unit number, HBI, sensitive group individual percentage and scraper individual percentage; core indicators of submerged plant integrity are: annual/perennial and facultative propagule percentages; the core indicators of the integrity indicators of microorganisms are: top 5 dominant taxon abundance. And calculating the obtained core indexes by a ratio method to obtain each biological integrity index value.
The calculation method of the ratio method is as follows: for the index with lower interference enhancement value, taking 95% quantile as the optimal expected value, and dividing the index value of each sampling point by the index value of 95% quantile; for the index with higher interference enhancement value, the 5% quantile is the best expected value, and the calculation formula is as follows:
Bim＝(Xmax-Xm)/(Xmax-X0.05)
in the formula, BimCalculating the score of the mth sampling point index; xmaxIs the maximum index value among the m sampling points; xmIs an index value of the mth sampling point; x0.05Is the 5% quantile of the index value in the m samples. And adding the scores of the indexes to obtain the IBI.
Multiplying the three biological integrity index scores of each sampling point by corresponding weight values and adding to obtain a biological integrity criterion layer score of each sampling point; similarly, multiplying the three chemical integrity index scores by corresponding weight values and adding to obtain the chemical integrity criterion layer score of each sampling point; and multiplying the scores of the two criterion layers by corresponding weights to obtain the integrality score of the benthic ecosystem of each sampling point.
TABLE 7 chemical integrity scoring table for each sample point
Dividing the health condition of the benthic ecosystem into 5 health grades according to the integrality score of the benthic ecosystem, wherein the health grades are as follows: 0-20 is classified as pathological, 20-40 is classified as micro-pathological, 40-60 is classified as general, 60-80 is classified as sub-healthy, and 80-100 is classified as healthy. And (4) according to the method, the integrity scores of the benthic ecosystem of each sampling point obtained by calculation are corresponded to obtain the health state of each sampling point. The calculated criteria layer and target layer scores are shown in table 8. The integrity score of the benthic ecosystem is below 60 points, and the unhealthy state indicates that the benthic ecosystem is seriously damaged.
TABLE 8 table of integrality score and health grade of benthic ecosystem at each sampling point
The evaluation method integrates two aspects of chemistry and biology, the geological accumulation index of the reaction sediment state is added into the chemical index, and the chemical integrity is reflected from the two aspects of water quality and substrate state, so that the health state of the benthic ecosystem of the lake is comprehensively and comprehensively evaluated compared with the traditional method.
Comparative example
Referring to the construction method of the benthic ecosystem integrity index system of the embodiment, the index system of the present comparative example is different from the embodiment in that no geological accumulation index is added to the chemical integrity index, and the chemical integrity is reflected only from the dissolved oxygen state and the eutrophication degree. Evaluating the health state of the benthic ecosystem of the lake according to the following steps:
(1) and constructing an evaluation index system with a hierarchical structure. The evaluation index system is divided into three layers, namely a target layer, a criterion layer and an index layer; the target layer is the integrity of the lake benthic ecosystem, the standard layer is the chemical integrity and the biological integrity, the index layer of the chemical integrity is the index of dissolved oxygen and comprehensive nutritional state, and the index layer of the biological integrity is the integrity index of benthic animals, the integrity index of submerged plants and the integrity index of microorganisms.
(2) The scoring criteria for determining dissolved oxygen and comprehensive nutritional status index and the health rating scoring criteria are the same as in the examples.
(3) And determining the relative weight between each index layer and each layer by adopting an analytic hierarchy process. Biological indexes and chemical indexes are equally important to the health of the lake; the biological index layer comprises three types of organisms, and the benthonic animals, submerged plants and microorganisms have the same importance on lakes; in the chemical indicator layer, the overall nutritional status is twice as important as the dissolved oxygen status. After hierarchical sequencing and consistency inspection, the index weight of each level is obtained as follows: the biological integrity index weight 1/2, the chemical integrity index weight 1/2, the benthic animal integrity index weight 1/6, the submerged plant integrity index weight 1/6, the microbial integrity index weight 1/6, the dissolved oxygen concentration weight 1/6, and the comprehensive nutritional status index weight 1/3.
(4) A reference point for assessing biological integrity is determined. And selecting three reference points from 9 sampling points according to the data obtained by three times of sampling and the analysis of the activity condition of surrounding human beings, wherein the rest reference points are damaged points, and the reference points are numbered as No. 7, No. 8 and No. 9.
(5) The method for screening the indexes for calculating the index values and the three biological integrity indexes and the method for calculating the biological integrity index values are the same as the embodiment.
TABLE 9 chemical integrity scores for each sample point
And obtaining the integrity score of the benthic ecosystem according to the weight accumulation, and obtaining the health state of each sampling point corresponding to the integrity score of the benthic ecosystem of each sampling point. The calculated criteria layer and target layer scores are shown in table 10.
TABLE 10 table of integrality score and health grade of benthic ecosystem at each sampling point
Comparing the evaluation results of the embodiment with the comparative example, it is noted that for lakes with lower nitrogen and phosphorus pollution and heavier heavy metal pollution, the chemical integrity index is added with the index of heavy metal pollution of the reaction sediments on the basis of the index of dissolved oxygen and comprehensive nutritional status, the result is greatly different from the health evaluation result obtained by adopting the conventional evaluation index system, the health grade of each sampling point is reduced from sub-health or health to micro-pathological state after the index of heavy metal pollution of the reaction sediments is added, and the real status is more reasonably reflected. Therefore, aiming at lakes with light nitrogen and phosphorus pollution and heavy metal pollution, the index of the heavy metal pollution degree of the reaction sediments is added into the benthic ecosystem health evaluation index system, and technical support is provided for reasonably evaluating the benthic ecological health of the lakes.
The above examples and comparative examples illustrate specific embodiments of the present invention, but these descriptions should not be construed as limiting the scope of the present invention, which is defined by the appended claims, and any modification based on the claims is within the scope of the present invention.
Claims (11)
1. A health evaluation method suitable for a lake benthic ecosystem is characterized by comprising the following steps: constructing an evaluation index system of the integrity of the benthic ecosystem from two aspects of the chemical integrity of the lake and the integrity of the benthic organisms, and comprehensively evaluating the health condition of the benthic ecosystem; the method specifically comprises the following steps:
(1) determining sampling points and collecting samples;
(2) establishing a comprehensive evaluation index system of a hierarchical structure;
(3) calculating each index value and determining a reference point;
(4) screening various biological integrity indexes, and determining a biological integrity index assigning standard;
(5) screening a chemical integrity index, and determining a chemical integrity index assigning standard;
(6) determining the relative weight between each index layer and each layer by adopting an analytic hierarchy process;
(7) and (4) obtaining the integrality score of the benthic ecosystem according to weight accumulation, and dividing the health grade.
2. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (2), the evaluation index system is divided into three layers, namely a target layer, a criterion layer and an index layer; the target layer is the integrity of the lake benthic ecosystem, the standard layer is the chemical integrity and the biological integrity, the index layer of the chemical integrity is the indexes of dissolved oxygen, comprehensive nutrient state and heavy metal pollution condition in reaction sediments, and the index layer of the biological integrity is the integrity index of benthic animals, the integrity index of submerged plants and the integrity index of microorganisms.
3. The health evaluation method applicable to the lake benthic ecosystem according to claim 2, wherein the method comprises the following steps: the dissolved oxygen state is characterized by a dissolved oxygen concentration; the comprehensive nutritional state index selects four parameters of chlorophyll a (chl a), Total Nitrogen (TN), Total Phosphorus (TP) and Chemical Oxygen Demand (COD); the pollution condition of heavy metals in the sediment adopts the geological accumulation index (I) of 7 heavy metal elements of arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn)geo) To characterize.
4. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (3), the method for determining the biological integrity reference point is to determine the reference point position by adopting water quality and human activity indexes; no village, no artificial breeding industry, no entertainment function, DO, COD, TN, TP, NH around3And setting sampling points in N which meet the national surface water class III standard as much as possible and meet the two indexes as reference points.
5. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (4), the assigning method of the biological integrity index comprises the following steps: taking a 25% quantile of the distribution of the biological integrity index (IBI) value of the reference point as a critical point for health grade division, and taking the health state when the IBI value is greater than the 25% quantile value (grade is assigned to be 80-100); the distribution range of quantiles less than 25% is divided by 4 to determine sub-health status (grade assigned 60-80), general status (grade assigned 40-60), micro-morbid status (grade assigned 20-40) and morbid status (grade assigned 0-20).
6. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (5), the dissolved oxygen state is divided into five health grades according to five types of standards of national surface water, and corresponding scores are given according to a percentage system; the comprehensive nutritional state index range is 0-100, and the health is divided into 5 grades; selecting one of 7 heavy metal elements of arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn) which is most seriously polluted As an index of a heavy metal pollution condition, wherein the geological accumulation index range is 0-100, and the health is divided into 5 grades.
7. The health evaluation method for the lake benthic ecosystem according to claim 6, wherein the dissolved oxygen status assignment and health rating are determined by the following criteria: when the concentration of the dissolved oxygen is more than or equal to 7.5mg/L, the health grade is healthy, and the value is assigned to 70-100 points; when the concentration of dissolved oxygen is more than or equal to 6mg/L and less than 7.5mg/L, the health grade is sub-health, and the assigned value is 40-70 points; when the concentration of the dissolved oxygen is more than or equal to 5mg/L and less than 6mg/L, the health grade is general, and the assigned value is 20-40 points; when the concentration of dissolved oxygen is more than or equal to 3mg/L and less than 5mg/L, the health grade is in a micro-morbid state, and a score is assigned to be 10-20 points; when the concentration of dissolved oxygen is more than or equal to 0mg/L and less than 3mg/L, the health grade is ill, and the score is assigned to 0-10.
8. The health evaluation method for the lake benthic ecosystem according to claim 6, wherein the comprehensive nutritional status index scoring and health rating is determined by the following criteria: when the comprehensive nutritional state index is more than or equal to 0 and less than 30, the health grade is healthy, and the score is assigned to 70-100 points; when the comprehensive nutritional state index is more than or equal to 30 and less than 50, the health grade is sub-health, and the score is assigned to 50-70 points; when the comprehensive nutritional state index is more than or equal to 50 and less than 60, the health grade is general, and the score is assigned to be 40-50; when the comprehensive nutritional state index is more than or equal to 60 and less than 70, the health grade is a micro-morbid state, and a score is assigned to be 30-40; when the comprehensive nutritional state index is greater than or equal to 70 and less than or equal to 100, the health grade is a morbid state, and a score is assigned to be 0-30.
9. The health evaluation method for the lake benthic ecosystem according to claim 6, wherein the geological accumulation index assignment and the health rating are determined by the following criteria: when the geological accumulation index is less than 0, the health grade is healthy, and a score is given to be 80-100; when the geological accumulation index is more than or equal to 0 and less than 1, the health grade is sub-health, and a score is assigned to 60-80; when the geological accumulation index is more than or equal to 1 and less than 2, the health grade is general, and a score value is assigned to be 40-60; when the geological accumulation index is more than or equal to 2 and less than 3, the health grade is a micro-morbid state, and a score value is assigned to be 20-40; when the geological accumulation index is more than or equal to 3 and less than 4, the health grade is ill, and a score value is assigned to be 0-20; and when the geological accumulation index is more than or equal to 4, the health grade is ill, and a score of 0 is assigned.
10. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (6), the analytic hierarchy process is to establish a judgment matrix by comparing relative importance degrees between every two indexes, and the maximum eigenvalue and the corresponding eigenvector are subjected to consistency test to obtain the weighted value of each index.
11. The health evaluation method applicable to the lake benthic ecosystem according to claim 1, wherein the method comprises the following steps: in the step (7), the integrity score of the benthic ecosystem is calculated by the following formula:
BEHI＝Ii×Wi
in the formula: BEHI (Benthic ecosystem health index) is the benthic ecosystem health score; i isiScoring the ith index; wiIs the ith index weight.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010095017.5A CN111369106A (en) | 2020-02-17 | 2020-02-17 | Health evaluation method suitable for lake benthic ecosystem |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010095017.5A CN111369106A (en) | 2020-02-17 | 2020-02-17 | Health evaluation method suitable for lake benthic ecosystem |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111369106A true CN111369106A (en) | 2020-07-03 |
Family
ID=71207998
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010095017.5A Pending CN111369106A (en) | 2020-02-17 | 2020-02-17 | Health evaluation method suitable for lake benthic ecosystem |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111369106A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112862623A (en) * | 2021-03-11 | 2021-05-28 | 中国水产科学研究院黄海水产研究所 | Method for evaluating health of near-shore spawning site |
| CN113095719A (en) * | 2021-04-29 | 2021-07-09 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
| CN113658640A (en) * | 2021-07-14 | 2021-11-16 | 北京大学 | Fresh water ecosystem health evaluation method |
| CN113706048A (en) * | 2021-09-07 | 2021-11-26 | 水利部交通运输部国家能源局南京水利科学研究院 | River ecosystem health monitoring and evaluating method and system |
| WO2022099852A1 (en) * | 2020-11-10 | 2022-05-19 | 广东粤海水务股份有限公司 | Health evaluation and diagnosis method for urban landscape lake water ecosystem |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030138812A1 (en) * | 2000-09-15 | 2003-07-24 | Downs Craig A. | Assessment of ecosystem health by evaluating multiple biomarkers in a nonhuman organism |
| CN101944160A (en) * | 2010-08-31 | 2011-01-12 | 环境保护部华南环境科学研究所 | Immediate offshore area ecological environment comprehensive evaluation method based on analytic hierarchy process and comprehensive evaluation method |
| CN102496070A (en) * | 2011-12-07 | 2012-06-13 | 中国海洋大学 | Method for building ecology risk assessment model for estuary |
| CN104699944A (en) * | 2014-12-24 | 2015-06-10 | 山东省科学院新材料研究所 | Comprehensive evaluation method of river and lake sediment heavy metal pollution |
| CN106021887A (en) * | 2016-05-13 | 2016-10-12 | 浙江省舟山海洋生态环境监测站 | Health evaluation method for river mouth and bay ecological system |
| CN106355016A (en) * | 2016-08-30 | 2017-01-25 | 天津大学 | River health assessment method based on coordinated development degree |
| US20170328878A1 (en) * | 2016-05-13 | 2017-11-16 | Chinese Research Academy Of Environmental Sciences | Rating evaluation method for groundwater pollution source intensity |
| CN109118101A (en) * | 2018-08-24 | 2019-01-01 | 华北水利水电大学 | A kind of River Health Assessment method suitable for Shelter in South China Cities river |
| US20190004024A1 (en) * | 2015-12-30 | 2019-01-03 | Chinese Research Academy Of Environmental Sciences | Method for ecological risk assessment of heavy metal in river basin sediment based on toxicity effect |
| CN109934490A (en) * | 2019-03-13 | 2019-06-25 | 广州海洋地质调查局 | A kind of seashore wetland Eco-Geo-Environment overall merit and grade partition method |
| CN110135714A (en) * | 2019-04-30 | 2019-08-16 | 清华大学 | A kind of integrated evaluating method in river, lake sediment Heavy Metal Ecological risk of toxicity |
-
2020
- 2020-02-17 CN CN202010095017.5A patent/CN111369106A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030138812A1 (en) * | 2000-09-15 | 2003-07-24 | Downs Craig A. | Assessment of ecosystem health by evaluating multiple biomarkers in a nonhuman organism |
| CN101944160A (en) * | 2010-08-31 | 2011-01-12 | 环境保护部华南环境科学研究所 | Immediate offshore area ecological environment comprehensive evaluation method based on analytic hierarchy process and comprehensive evaluation method |
| CN102496070A (en) * | 2011-12-07 | 2012-06-13 | 中国海洋大学 | Method for building ecology risk assessment model for estuary |
| CN104699944A (en) * | 2014-12-24 | 2015-06-10 | 山东省科学院新材料研究所 | Comprehensive evaluation method of river and lake sediment heavy metal pollution |
| US20190004024A1 (en) * | 2015-12-30 | 2019-01-03 | Chinese Research Academy Of Environmental Sciences | Method for ecological risk assessment of heavy metal in river basin sediment based on toxicity effect |
| CN106021887A (en) * | 2016-05-13 | 2016-10-12 | 浙江省舟山海洋生态环境监测站 | Health evaluation method for river mouth and bay ecological system |
| US20170328878A1 (en) * | 2016-05-13 | 2017-11-16 | Chinese Research Academy Of Environmental Sciences | Rating evaluation method for groundwater pollution source intensity |
| CN106355016A (en) * | 2016-08-30 | 2017-01-25 | 天津大学 | River health assessment method based on coordinated development degree |
| CN109118101A (en) * | 2018-08-24 | 2019-01-01 | 华北水利水电大学 | A kind of River Health Assessment method suitable for Shelter in South China Cities river |
| CN109934490A (en) * | 2019-03-13 | 2019-06-25 | 广州海洋地质调查局 | A kind of seashore wetland Eco-Geo-Environment overall merit and grade partition method |
| CN110135714A (en) * | 2019-04-30 | 2019-08-16 | 清华大学 | A kind of integrated evaluating method in river, lake sediment Heavy Metal Ecological risk of toxicity |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022099852A1 (en) * | 2020-11-10 | 2022-05-19 | 广东粤海水务股份有限公司 | Health evaluation and diagnosis method for urban landscape lake water ecosystem |
| CN112862623A (en) * | 2021-03-11 | 2021-05-28 | 中国水产科学研究院黄海水产研究所 | Method for evaluating health of near-shore spawning site |
| CN113095719A (en) * | 2021-04-29 | 2021-07-09 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
| CN113095719B (en) * | 2021-04-29 | 2022-05-06 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
| CN113658640A (en) * | 2021-07-14 | 2021-11-16 | 北京大学 | Fresh water ecosystem health evaluation method |
| CN113658640B (en) * | 2021-07-14 | 2023-07-28 | 北京大学 | Fresh water ecological system health evaluation method |
| CN113706048A (en) * | 2021-09-07 | 2021-11-26 | 水利部交通运输部国家能源局南京水利科学研究院 | River ecosystem health monitoring and evaluating method and system |
| CN113706048B (en) * | 2021-09-07 | 2022-05-03 | 水利部交通运输部国家能源局南京水利科学研究院 | River ecosystem health monitoring and evaluating method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111369106A (en) | Health evaluation method suitable for lake benthic ecosystem | |
| Whittier et al. | A structured approach for developing indices of biotic integrity: three examples from streams and rivers in the western USA | |
| Angermeier et al. | Regional frameworks and candidate metrics for assessing biotic integrity in mid-Atlantic highland streams | |
| Leonardsson et al. | Theoretical and practical aspects on benthic quality assessment according to the EU-Water Framework Directive–examples from Swedish waters | |
| CN110969346B (en) | River basin water ecological function partition treatment demand evaluation method based on index screening | |
| CN110570089A (en) | construction method for evaluating river ecological condition by aquatic organism community multi-parameter index | |
| van der Linden et al. | Spatial and temporal response of multiple trait-based indices to natural-and anthropogenic seafloor disturbance (effluents) | |
| Lücke et al. | Detection of ecological change in stream macroinvertebrate assemblages using single metric, multimetric or multivariate approaches | |
| CN111832895A (en) | Coastal wetland ecological vulnerability potential risk assessment method based on gray weighted relevance | |
| CN115691670B (en) | River ecosystem health evaluation method based on microbial community specific response | |
| Stevenson et al. | Use of algae in ecological assessments | |
| CN113658640B (en) | Fresh water ecological system health evaluation method | |
| Kanninen et al. | Comparing stressor-specific indices and general measures of taxonomic composition for assessing the status of boreal lacustrine macrophyte communities | |
| CN113406287A (en) | Regional protection aquatic organism water quality benchmark derivation method for optimally controlling heavy metal pollutant chromium | |
| CN116864026A (en) | Ocean dissolved oxygen concentration reconstruction model construction method based on Argo warm salt profile | |
| CN114881468A (en) | Health condition evaluation method for drainage basin ecosystem | |
| CN114037202A (en) | Multi-index-associated river water quality evaluation method, system, equipment and storage medium | |
| CN114565246A (en) | Stream water quality evaluation method based on large zoobenthos comprehensive index | |
| CN114493182A (en) | Ecological health evaluation method and device for urban river channels in plain river network area | |
| CN112581038A (en) | Mangrove wetland health condition evaluation method | |
| KR20130000621A (en) | Method for evaluating ecosystem health of korean tidal flat | |
| Zhu et al. | Assessing the ecological health of the Qingyi River Basin using multi-community indices of biotic integrity | |
| CN113516373A (en) | Blue algae bloom prevention and control integrated technology system | |
| CN112557614A (en) | Evaluation method for regional marine organism index and pollution bearing index | |
| Heffernan et al. | A simulation tool for designing nutrient monitoring programmes for eutrophication assessments |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200703 |
|
| WD01 | Invention patent application deemed withdrawn after publication |