CN112183935A - River water quality comprehensive evaluation method and system - Google Patents
River water quality comprehensive evaluation method and system Download PDFInfo
- Publication number
- CN112183935A CN112183935A CN202010893285.1A CN202010893285A CN112183935A CN 112183935 A CN112183935 A CN 112183935A CN 202010893285 A CN202010893285 A CN 202010893285A CN 112183935 A CN112183935 A CN 112183935A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- water quality
- comprehensive
- factor
- river water
- 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.)
- Withdrawn
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 279
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 165
- 238000004364 calculation method Methods 0.000 claims abstract description 69
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000013441 quality evaluation Methods 0.000 claims abstract description 19
- BTCSSZJGUNDROE-UHFFFAOYSA-N gamma-aminobutyric acid Chemical compound NCCCC(O)=O BTCSSZJGUNDROE-UHFFFAOYSA-N 0.000 claims description 40
- 238000005259 measurement Methods 0.000 claims description 34
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 8
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 6
- 229910052760 oxygen Inorganic materials 0.000 claims description 6
- 239000001301 oxygen Substances 0.000 claims description 6
- 239000011541 reaction mixture Substances 0.000 claims description 6
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- -1 permanganate index Chemical compound 0.000 claims description 3
- 229910052698 phosphorus Inorganic materials 0.000 claims description 3
- 239000011574 phosphorus Substances 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000000470 constituent Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
- 230000033772 system development Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/1826—Organic contamination in water
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Pathology (AREA)
- Marketing (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a river water quality comprehensive evaluation method and system. The method comprises the following steps: determining river water quality evaluation factors and evaluation sections; acquiring water quality basic data required on each evaluation section in the water quality evaluation process; adopting an inner Meiro index method to carry out comprehensive pollution index calculation on each evaluation factor one by one to obtain a comprehensive pollution index sequence of each evaluation factor; carrying out weight calculation on each evaluation factor one by adopting a dynamic weighting method to obtain a weight sequence consisting of the weight coefficients of each evaluation factor; calculating a river water quality comprehensive evaluation index by adopting a weighted superposition method; and evaluating the river water quality condition according to the calculation result of the river water quality comprehensive evaluation index. The invention establishes a set of brand-new river water quality comprehensive evaluation system, not only considers the change degree of water quality data of each evaluation factor, highlights core factors influencing water quality conditions, but also cannot be excessively controlled by a single factor, and the evaluation result is more comprehensive and objective.
Description
Technical Field
The invention relates to a river water quality comprehensive evaluation method and system, and belongs to the technical field of water environment management.
Background
With the social and economic development of China, environmental problems have become bottlenecks that restrict the development of China. The water environment is one of the important constituent elements of the environment, the pollution is the most serious, and the pollution situation is very severe. Therefore, in order to realize the stable development of human society and the harmony between human and nature, governments at all levels are actively developing water environment comprehensive management work. Scientific water environment management technology comprises water quality evaluation, water environment treatment planning, water environment decision support system development, water quality evaluation and the like. Wherein, the water quality evaluation work is the basis of the water environment management work.
Regarding the river water quality evaluation method, a large amount of research has been carried out by scholars at home and abroad at present, including a single factor evaluation method, a fuzzy mathematical evaluation method, a water quality index method, an artificial neural network evaluation method, a water quality identification index evaluation method and the like. The quality of the surface water environment specified in China uses a worst single factor evaluation method, the essence of which is that the category of the worst factor in all the evaluation factors is selected as the category of the overall water quality, the evaluation result is pessimistic, and the evaluation method has no capability of reasonably reflecting the comprehensive condition of the current water quality; the grey system evaluation method, the fuzzy mathematical evaluation method, the artificial neural network evaluation method and various methods used in combination have strict mathematical theories but complicated calculation processes and results are often not comparable; the water quality identification index method and the water quality index method are simple and easy to use, but the results are not intuitive. Therefore, it is very important to provide a comprehensive river water quality evaluation system to make the river water quality evaluation result more visual, comprehensive and objective.
Disclosure of Invention
The invention aims to provide a river water quality comprehensive evaluation method to solve all the defects or one of the defects in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
on one hand, the invention provides a river water quality comprehensive evaluation method, which comprises the following steps:
determining river water quality evaluation factors and evaluation sections;
acquiring water quality actual measurement data of the evaluation factors on the evaluation section and standard value data of the evaluation factors of the water functional area where the river is located;
respectively carrying out comprehensive pollution index calculation on the evaluation factors according to the water quality measured data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence;
respectively carrying out weight calculation on the evaluation factors according to the water quality actual measurement data to obtain an evaluation factor weight sequence;
carrying out weighted superposition calculation on the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence to obtain a river water quality comprehensive evaluation index;
and evaluating the river water quality condition according to the calculation result of the river water quality comprehensive evaluation index.
Further, an inner Mero index method is adopted to calculate the comprehensive pollution indexes of the evaluation factors respectively.
Further, according to the water quality actual measurement data and the standard value data, respectively carrying out comprehensive pollution index calculation on the evaluation factors to obtain an evaluation factor comprehensive pollution index sequence, wherein the calculation formula is as follows:
Pimax=max{Pij} (3)
P=(P1,P2,P3,…,Pi) (5)
in the formula (1), i is an evaluation factor; j is an evaluation section; pijCalculating a pollution index of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; cijThe measured average value of the evaluation factor i on the evaluation section j is obtained; siThe standard value of the evaluation factor i is the water functional area where the river is located; in the formula (2), the reaction mixture is,the average value of the pollution indexes of the evaluation factor i is obtained; m is the number of the evaluation sections; in the formula (3), PimaxThe maximum value of the pollution index is the evaluation factor i; in the formula (4), PiThe comprehensive pollution index of the factor i is evaluated; in the formula (5), P is a comprehensive pollution index sequence of each evaluation factor i.
Further, the evaluation factors are respectively subjected to weight calculation by adopting a dynamic weighting method.
Further, the evaluation factors are respectively subjected to weight calculation according to the water quality actual measurement data to obtain an evaluation factor weight sequence, and a calculation formula is as follows:
Wij=A+B (6)
W=(W1,W2,W3,…,Wi) (11)
in the formula (6), i is an evaluation factor; j is an evaluation section; wijCalculating the weight of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; a is the basis weight; b is relative weight; in the formula (7), n is the number of evaluation factors; in the formula (8), XijAn actual measurement sequence of an evaluation factor i on an evaluation section j within a certain period of time;the variation coefficient value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time; in the formula (9), the reaction mixture is,the standard deviation of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time;the average value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time is obtained; in the formula (10), WiThe average value of the weights of the evaluation factors i on the evaluation section is obtained; m is the number of the evaluation sections; in the formula (11), W represents a weight sequence of each evaluation factor i.
Further, the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence are subjected to weighted superposition calculation to obtain a river water quality comprehensive evaluation index, and the calculation formula is as follows:
D=PW (12)
in the formula (12), D is a river water quality comprehensive evaluation index; p is an evaluation factor comprehensive pollution index sequence; w is the evaluation factor weight sequence.
Further, the evaluating the river water quality condition according to the river water quality comprehensive evaluation index calculation result comprises:
and according to the calculation result of the river water quality comprehensive evaluation index, evaluating the river water quality condition by referring to the internal Metro pollution level and the water quality category tables at all levels.
Further, the evaluation factors include dissolved oxygen, permanganate index, ammonia nitrogen, total nitrogen, and total phosphorus.
Furthermore, the number of the evaluation sections is determined according to the actual situation of the river, and the number of the evaluation sections is at least one.
In another aspect, the present invention provides a river water quality comprehensive evaluation system, including:
the determining module is used for determining river water quality evaluation factors and evaluation sections;
the data acquisition module is used for acquiring water quality actual measurement data of the evaluation factors on the evaluation section and standard value data of the evaluation factors of the water functional area where the river is located;
the pollution index calculation module is used for respectively carrying out comprehensive pollution index calculation on the evaluation factors according to the water quality actual measurement data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence;
the weight calculation module is used for respectively carrying out weight calculation on the evaluation factors according to the water quality actual measurement data to obtain an evaluation factor weight sequence;
the comprehensive evaluation index calculation module is used for performing weighted superposition calculation on the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence to obtain a river water quality comprehensive evaluation index;
and the evaluation module is used for evaluating the river water quality condition according to the river water quality comprehensive evaluation index calculation result.
Compared with the prior art, the invention has the following advantages:
the invention establishes a set of brand-new river water quality comprehensive evaluation system, adopts the actual measurement data of the water quality of a plurality of monitoring sections of the river to calculate the comprehensive pollution index of each evaluation factor, the weight of each evaluation factor and the comprehensive water quality evaluation index, not only considers the change degree of the water quality data of each evaluation factor, but also highlights the core factor influencing the water quality condition and is not excessively controlled by a single factor, and the evaluation result is more comprehensive and objective.
Drawings
Fig. 1 is a schematic flow chart of a river water quality comprehensive evaluation method according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to specific examples. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a river water quality comprehensive evaluation method provided by an embodiment of the present invention includes the following steps:
s1, determining river water quality evaluation factors.
The evaluation factors need to be considered by combining the actually measured data of the water quality and the local water quality condition, and common evaluation factors comprise dissolved oxygen, permanganate index, ammonia nitrogen, total phosphorus and the like.
And S2, selecting an evaluation section with water quality actual measurement data.
The number of the selected evaluation sections is determined according to the actual situation of the river, and the number of the selected evaluation sections is at least one.
And S3, acquiring basic water quality data required on each evaluation section in the water quality evaluation process.
The water quality basic data comprises water quality actual measurement data of each evaluation factor on each evaluation section, standard value data of each evaluation factor in a water functional area where a river is located and the like.
S4, according to the water quality actual measurement data and the standard value data obtained in the step S3, carrying out comprehensive pollution index calculation on each evaluation factor one by adopting an internal Merlot index method to obtain a comprehensive pollution index sequence of each evaluation factor, wherein the calculation formula is as follows:
Pimax=max{Pij} (3)
P=(P1,P2,P3,…,Pi) (5)
in the formula (1), i is an evaluation factor; j is an evaluation section; pijCalculating a pollution index of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; cijThe measured average value of the evaluation factor i on the evaluation section j is obtained; siThe standard value of the evaluation factor i is the water functional area where the river is located; in the formula (2), the reaction mixture is,the average value of the pollution indexes of the evaluation factor i is obtained; m is the number of the evaluation sections; in the formula (3), PimaxThe maximum value of the pollution index is the evaluation factor i; in the formula (4), PiThe comprehensive pollution index of the factor i is evaluated; in the formula (5), P is a comprehensive pollution index sequence of each evaluation factor i.
S5, according to the water quality actual measurement data obtained in the step S3, carrying out weight calculation on each evaluation factor one by adopting a dynamic weighting method to obtain a weight sequence consisting of the weight coefficients of each evaluation factor, wherein the calculation formula is as follows:
Wij=A+B (6)
W=(W1,W2,W3,…,Wi) (11)
in the formula (6), i is an evaluation factor; j is an evaluation section; wijCalculating the weight of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; a is the basis weight; b is relative weight; in the formula (7), n is the number of evaluation factors; in the formula (8), XijAn actual measurement sequence of an evaluation factor i on an evaluation section j within a certain period of time;the variation coefficient value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time; in the formula (9), the reaction mixture is,the standard deviation of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time;the average value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time is obtained; in the formula (10), WiThe average value of the weights of the evaluation factors i on the evaluation section is obtained; m is the number of the evaluation sections; in the formula (11), W represents a weight sequence of each evaluation factor i.
S6, calculating a comprehensive evaluation index of the river water quality by adopting a weighted superposition method, wherein the calculation formula is as follows:
D=PW (12)
in the formula (12), D is a river water quality comprehensive evaluation index; p is a comprehensive pollution index sequence of each evaluation factor; w is a weight sequence of each evaluation factor.
And S7, evaluating the river water quality condition according to the calculation result of the river water quality comprehensive evaluation index.
According to the calculation result of the river water quality comprehensive evaluation index, the river water quality condition is roughly defined by referring to the internal Metro pollution level and each level of water quality category table (table 1). The specific contents are as follows:
in Table 1, the pollution levels of Meluo and the water quality classes at different levels
The following takes river A as an example to illustrate the specific implementation steps of the embodiment of the invention:
s1, determining river water quality evaluation factor i
According to the specific situation and water quality characteristics of the area where river A is located, Dissolved Oxygen (DO), permanganate index (IMn) and ammonia Nitrogen (NH) are selected3-N) three water quality indicators as evaluation factors (Table 2).
TABLE 2
i | Evaluation factor |
1 | Dissolved Oxygen (DO) |
2 | Permanganate index (IMn) |
3 | Ammonia nitrogen (NH3-N) |
S2, selecting an evaluation section j with water quality actual measurement data
According to the evaluation condition of the river A evaluation section water quality data, three evaluation sections of a section a, a section b and a section c are selected as evaluation sections of the river A water quality comprehensive evaluation (Table 3).
TABLE 3
j | Evaluation section |
1 | a |
2 | b |
3 | c |
S3, acquiring basic data of water quality required on each evaluation section in the water quality evaluation process
The water quality basic data comprises water quality actual measurement data of each evaluation factor on the evaluation section and standard value data of each evaluation factor of the water functional area of the river A, and the data are shown in a table 4.
TABLE 4 (unit: mg/L)
And S4, carrying out comprehensive pollution index calculation on each evaluation factor (dissolved oxygen, permanganate index and ammonia nitrogen) one by adopting an internal Merlot index method to obtain a comprehensive pollution index sequence of each evaluation factor, wherein the calculation formula is shown in the formulas (1) to (5).
The results of the calculations are shown in Table 5.
TABLE 5
And S5, performing weight calculation on the evaluation factors one by adopting a dynamic weighting method to obtain a weight sequence consisting of the weight coefficients of the evaluation factors, wherein the calculation formula is shown in the formulas (6) to (11).
The calculation results are shown in Table 6.
TABLE 6
S6, calculating a river water quality comprehensive evaluation index by adopting a weighted superposition method, wherein the calculation result is as follows:
D=PW=(2.45,0.32,0.90)(0.32,0.28,0.40)=1.2336
in the formula, D is a river water quality comprehensive evaluation index; p is a comprehensive pollution index sequence of each evaluation factor; w is a weight sequence of each evaluation factor.
And S7, according to the calculation result of the comprehensive evaluation index of the river water quality, roughly defining the river water quality condition by referring to the internal Metro pollution level and all levels of water quality category tables.
According to the result of the river water quality comprehensive evaluation index calculation in the step S6, the result is 1.2336, the water quality comprehensive evaluation index is compared with the reference inner Meiluo pollution level and the water quality classification tables (table 1) of all levels, and the water quality comprehensive evaluation index belongs to IV-class water and moderately polluted rivers when N is more than or equal to 1 and less than or equal to 7.28.
In another embodiment, the present invention provides a river water quality comprehensive evaluation system, including:
the determining module is used for determining river water quality evaluation factors and evaluation sections;
the data acquisition module is used for acquiring water quality actual measurement data of the evaluation factors on the evaluation section and standard value data of the evaluation factors of the water functional area where the river is located;
the pollution index calculation module is used for respectively carrying out comprehensive pollution index calculation on the evaluation factors according to the water quality actual measurement data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence;
the weight calculation module is used for respectively carrying out weight calculation on the evaluation factors according to the water quality actual measurement data to obtain an evaluation factor weight sequence;
the comprehensive evaluation index calculation module is used for performing weighted superposition calculation on the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence to obtain a river water quality comprehensive evaluation index;
and the evaluation module is used for evaluating the river water quality condition according to the river water quality comprehensive evaluation index calculation result.
Through the embodiment, a set of brand-new river water quality comprehensive evaluation system is established, and the actual measurement data of the water quality of a plurality of monitoring sections of the river are adopted to carry out comprehensive pollution index calculation, weight calculation of each evaluation factor and comprehensive water quality evaluation index calculation of each evaluation factor, so that the change degree of the water quality data of each evaluation factor is considered, core factors influencing the water quality condition are highlighted, the core factors are not excessively controlled by a single factor, and the evaluation result is more comprehensive and objective.
The present invention has been disclosed in terms of the preferred embodiment, but is not intended to be limited to the embodiment, and all technical solutions obtained by substituting or converting equivalents thereof fall within the scope of the present invention.
Claims (10)
1. A river water quality comprehensive evaluation method is characterized by comprising the following steps:
determining river water quality evaluation factors and evaluation sections;
acquiring water quality actual measurement data of the evaluation factors on the evaluation section and standard value data of the evaluation factors of the water functional area where the river is located;
respectively carrying out comprehensive pollution index calculation on the evaluation factors according to the water quality measured data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence;
respectively carrying out weight calculation on the evaluation factors according to the water quality actual measurement data to obtain an evaluation factor weight sequence;
carrying out weighted superposition calculation on the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence to obtain a river water quality comprehensive evaluation index;
and evaluating the river water quality condition according to the calculation result of the river water quality comprehensive evaluation index.
2. The river water quality comprehensive evaluation method according to claim 1, wherein an internal Mello index method is adopted to calculate comprehensive pollution indexes of evaluation factors respectively.
3. The river water quality comprehensive evaluation method according to claim 1, wherein the evaluation factors are respectively subjected to comprehensive pollution index calculation according to the water quality actual measurement data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence, and the calculation formula is as follows:
Pimax=max{Pij} (3)
P=(P1,P2,P3,...,Pi) (5)
in the formula (1), i is an evaluation factor; j is an evaluation section; pijCalculating a pollution index of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; cijThe measured average value of the evaluation factor i on the evaluation section j is obtained; siThe standard value of the evaluation factor i is the water functional area where the river is located; in the formula (2), the reaction mixture is,the average value of the pollution indexes of the evaluation factor i is obtained; m is the number of the evaluation sections; in the formula (3), PimaxThe maximum value of the pollution index is the evaluation factor i; in the formula (4), PiThe comprehensive pollution index of the factor i is evaluated; in the formula (5), P is a comprehensive pollution index sequence of each evaluation factor i.
4. The comprehensive evaluation method of river water quality according to claim 1, wherein the evaluation factors are weighted respectively by a dynamic weighting method.
5. The river water quality comprehensive evaluation method according to claim 1, wherein the evaluation factors are respectively subjected to weight calculation according to the water quality actual measurement data to obtain an evaluation factor weight sequence, and a calculation formula is as follows:
Wij=A+B (6)
W=(W1,W2,W3,...,Wi) (11)
in the formula (6), i is an evaluation factor; j is an evaluation section; wijCalculating the weight of the evaluation factor i based on the water quality actual measurement data of the evaluation section j; a is the basis weight; b is relative weight; in the formula (7), n is the number of evaluation factors; in the formula (8), XijAn actual measurement sequence of an evaluation factor i on an evaluation section j within a certain period of time;the variation coefficient value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time; in the formula (9), the reaction mixture is,the standard deviation of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time;the average value of the actually measured sequence of the evaluation factor i on the evaluation section j in a certain period of time is obtained; in the formula (10), WiThe average value of the weights of the evaluation factors i on the evaluation section is obtained; m is the number of the evaluation sections; in the formula (11), W represents a weight sequence of each evaluation factor i.
6. The river water quality comprehensive evaluation method according to claim 1, wherein the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence are subjected to weighted superposition calculation to obtain a river water quality comprehensive evaluation index, and the calculation formula is as follows:
D=PW (12)
in the formula (12), D is a river water quality comprehensive evaluation index; p is an evaluation factor comprehensive pollution index sequence; w is the evaluation factor weight sequence.
7. The method for comprehensively evaluating river water quality according to claim 1, wherein the evaluating river water quality according to the calculation result of the river water quality comprehensive evaluation index comprises:
and according to the calculation result of the river water quality comprehensive evaluation index, evaluating the river water quality condition by referring to the internal Metro pollution level and the water quality category tables at all levels.
8. The comprehensive evaluation method of river water quality according to claim 1, wherein the evaluation factors include dissolved oxygen, permanganate index, ammonia nitrogen, total nitrogen and total phosphorus.
9. The comprehensive evaluation method of river water quality according to claim 1, wherein the number of the evaluation sections is determined according to the actual condition of the river, and the number of the evaluation sections is at least one.
10. A river water quality comprehensive evaluation system is characterized by comprising:
the determining module is used for determining river water quality evaluation factors and evaluation sections;
the data acquisition module is used for acquiring water quality actual measurement data of the evaluation factors on the evaluation section and standard value data of the evaluation factors of the water functional area where the river is located;
the pollution index calculation module is used for respectively carrying out comprehensive pollution index calculation on the evaluation factors according to the water quality actual measurement data and the standard value data to obtain an evaluation factor comprehensive pollution index sequence;
the weight calculation module is used for respectively carrying out weight calculation on the evaluation factors according to the water quality actual measurement data to obtain an evaluation factor weight sequence;
the comprehensive evaluation index calculation module is used for performing weighted superposition calculation on the evaluation factor comprehensive pollution index sequence and the evaluation factor weight sequence to obtain a river water quality comprehensive evaluation index;
and the evaluation module is used for evaluating the river water quality condition according to the river water quality comprehensive evaluation index calculation result.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010893285.1A CN112183935A (en) | 2020-08-31 | 2020-08-31 | River water quality comprehensive evaluation method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010893285.1A CN112183935A (en) | 2020-08-31 | 2020-08-31 | River water quality comprehensive evaluation method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112183935A true CN112183935A (en) | 2021-01-05 |
Family
ID=73924019
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010893285.1A Withdrawn CN112183935A (en) | 2020-08-31 | 2020-08-31 | River water quality comprehensive evaluation method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112183935A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112506116A (en) * | 2021-02-04 | 2021-03-16 | 康玄谷(北京)国际生物科技有限公司 | Information analysis system and method based on mineral water |
CN114037202A (en) * | 2021-09-30 | 2022-02-11 | 长视科技股份有限公司 | Multi-index-associated river water quality evaluation method, system, equipment and storage medium |
CN114184750A (en) * | 2021-11-09 | 2022-03-15 | 深圳市宇驰检测技术股份有限公司 | Method, device and equipment for monitoring underground water pollutants and storage medium |
CN114219370A (en) * | 2022-01-29 | 2022-03-22 | 哈尔滨工业大学 | Social network-based multidimensional influence factor weight analysis method for river water quality |
CN114354705A (en) * | 2022-01-10 | 2022-04-15 | 中国水产科学研究院长江水产研究所 | Comprehensive evaluation method for surface water quality based on multi-parameter relative weight |
-
2020
- 2020-08-31 CN CN202010893285.1A patent/CN112183935A/en not_active Withdrawn
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112506116A (en) * | 2021-02-04 | 2021-03-16 | 康玄谷(北京)国际生物科技有限公司 | Information analysis system and method based on mineral water |
CN112506116B (en) * | 2021-02-04 | 2021-06-01 | 康玄谷(北京)国际生物科技有限公司 | Information analysis system and method based on mineral water |
CN114037202A (en) * | 2021-09-30 | 2022-02-11 | 长视科技股份有限公司 | Multi-index-associated river water quality evaluation method, system, equipment and storage medium |
CN114184750A (en) * | 2021-11-09 | 2022-03-15 | 深圳市宇驰检测技术股份有限公司 | Method, device and equipment for monitoring underground water pollutants and storage medium |
CN114354705A (en) * | 2022-01-10 | 2022-04-15 | 中国水产科学研究院长江水产研究所 | Comprehensive evaluation method for surface water quality based on multi-parameter relative weight |
CN114219370A (en) * | 2022-01-29 | 2022-03-22 | 哈尔滨工业大学 | Social network-based multidimensional influence factor weight analysis method for river water quality |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112183935A (en) | River water quality comprehensive evaluation method and system | |
CN106339536B (en) | Comprehensive Evaluation of Water Quality based on water pollution index's method and cloud model | |
CN107895100B (en) | Drainage basin water quality comprehensive evaluation method and system | |
CN101793887B (en) | Construction method of fuzzy neural network expert system for water quality assessment in turbot culture | |
CN115774953B (en) | Pollution space-time risk supervision and evaluation system and method based on data processing | |
CN105719048A (en) | Intermediate-voltage distribution operation state fuzzy integrated evaluation method based on principle component analysis method and entropy weight method | |
CN106850254A (en) | Key node recognition methods in a kind of power telecom network | |
CN110824914B (en) | Intelligent wastewater treatment monitoring method based on PCA-LSTM network | |
CN103235096A (en) | Sewage water quality detection method and apparatus | |
CN110610308A (en) | Method for evaluating environmental technology based on benchmarking method | |
CN112101673B (en) | Power grid development trend prediction method and system based on hidden Markov model | |
CN113033997A (en) | Urban water quality grade determination method, device and medium based on improved set pair analysis | |
CN108304674A (en) | A kind of railway prediction of soft roadbed settlement method based on BP neural network | |
CN114862062B (en) | Early warning method and device for environmental bearing capacity, electronic equipment and readable storage medium | |
CN104834975A (en) | Power network load factor prediction method based on intelligent algorithm optimization combination | |
CN113850516A (en) | Water quality evaluation method based on T-S fuzzy neural network | |
CN106779436A (en) | A kind of Electric Power Network Planning stage construction harmony comprehensive estimation method | |
CN110163537B (en) | Water eutrophication evaluation method based on trapezoidal cloud model | |
CN110033181B (en) | Power generation equipment state evaluation method based on self-encoder | |
CN116307913A (en) | Comprehensive multi-level sewage treatment facility pollutant reduction efficiency evaluation method and system | |
CN116502894A (en) | Photovoltaic transformer area power failure risk assessment method and device, electronic equipment and storage medium | |
CN114354705B (en) | Multi-parameter relative weight-based surface water quality comprehensive evaluation method | |
Tu et al. | Evaluation of seawater quality in hangzhou bay based on TS fuzzy neural network | |
CN115619247A (en) | Method, device, equipment and medium for evaluating low voltage of power distribution network | |
CN111832731B (en) | Multi-index monitoring method for representing uncertain state of oil and diagnosing faults |
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 | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210105 |
|
WW01 | Invention patent application withdrawn after publication |