CN114037332A - Method and system for evaluating safety utilization effect of salt water resources - Google Patents
Method and system for evaluating safety utilization effect of salt water resources Download PDFInfo
- Publication number
- CN114037332A CN114037332A CN202111385595.3A CN202111385595A CN114037332A CN 114037332 A CN114037332 A CN 114037332A CN 202111385595 A CN202111385595 A CN 202111385595A CN 114037332 A CN114037332 A CN 114037332A
- Authority
- CN
- China
- Prior art keywords
- index
- layer
- indexes
- evaluation
- weight
- 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
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 102
- 238000000034 method Methods 0.000 title claims abstract description 63
- 150000003839 salts Chemical class 0.000 title claims abstract description 59
- 230000000694 effects Effects 0.000 title claims abstract description 31
- 238000011156 evaluation Methods 0.000 claims abstract description 106
- 238000012545 processing Methods 0.000 claims abstract description 23
- 230000008569 process Effects 0.000 claims abstract description 16
- 238000012067 mathematical method Methods 0.000 claims abstract description 8
- 238000013139 quantization Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 51
- 230000008901 benefit Effects 0.000 claims description 30
- 238000003973 irrigation Methods 0.000 claims description 24
- 230000002262 irrigation Effects 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 11
- 239000002689 soil Substances 0.000 claims description 11
- 239000003621 irrigation water Substances 0.000 claims description 10
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 10
- 239000013505 freshwater Substances 0.000 claims description 9
- 230000006872 improvement Effects 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 239000010410 layer Substances 0.000 description 26
- 230000006870 function Effects 0.000 description 19
- 238000010586 diagram Methods 0.000 description 13
- 230000005611 electricity Effects 0.000 description 10
- 238000011161 development Methods 0.000 description 7
- 230000018109 developmental process Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 7
- 238000009826 distribution Methods 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 5
- 239000011780 sodium chloride Substances 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000011002 quantification Methods 0.000 description 4
- 238000013077 scoring method Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000013178 mathematical model Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000012854 evaluation process Methods 0.000 description 2
- 230000008020 evaporation Effects 0.000 description 2
- 238000001704 evaporation Methods 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 239000003673 groundwater Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000013014 water-saving technology Methods 0.000 description 2
- 108010014172 Factor V Proteins 0.000 description 1
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033558 biomineral tissue development Effects 0.000 description 1
- 235000013339 cereals Nutrition 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000009328 dry farming Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000009336 multiple cropping Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- BUKHSQBUKZIMLB-UHFFFAOYSA-L potassium;sodium;dichloride Chemical group [Na+].[Cl-].[Cl-].[K+] BUKHSQBUKZIMLB-UHFFFAOYSA-L 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002344 surface layer Substances 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
-
- 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
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- 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
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Software Systems (AREA)
- Primary Health Care (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Pure & Applied Mathematics (AREA)
- Fuzzy Systems (AREA)
- Automation & Control Theory (AREA)
- Molecular Biology (AREA)
- Operations Research (AREA)
- Algebra (AREA)
- Artificial Intelligence (AREA)
- Computational Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
Abstract
The invention belongs to the technical field of salt water utilization, and provides a method and a system for evaluating the safety utilization effect of salt water resources. The method comprises the steps of constructing a salt water resource safety utilization evaluation index system; selecting an evaluation index, and determining an evaluation grade; carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes; determining the evaluation index weight by using an analytic hierarchy process; and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
Description
Technical Field
The invention belongs to the technical field of salt water utilization, and particularly relates to a method and a system for evaluating the safety utilization effect of salt water resources.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Some regions have short water resources and the contradiction between supply and demand is intensified, and the problems can crise the ecological environment of the regions and restrict the development of economy and society of the regions. For many years, in order to meet the demands of local industry, agriculture and life on fresh water resources, long-term over-exploitation of deep fresh water can cause a series of environmental problems such as local ground settlement and salt water invasion, and the development and utilization degree of shallow salt water can be reduced, so that the salt water level is buried shallowly, and a large amount of evaporation is caused. The precipitation is largely consumed in evaporation, and the available amount of shallow groundwater is reduced. Meanwhile, the research shows that the brackish water with a certain concentration is used for irrigating crops, so that the yield is reduced compared with fresh water irrigation, but the yield is increased compared with dry farming. Therefore, the safe utilization of the salt water resource becomes a crucial problem.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method and a system for evaluating the safety utilization effect of a salt water resource, which provide a basis for providing a scientific and reasonable high-efficiency utilization mode of the salt water resource with strong operability.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for evaluating the safety utilization effect of salt water resources.
A method for evaluating the safety utilization effect of salt water resources comprises the following steps:
constructing a salt water resource safety utilization evaluation index system;
selecting an evaluation index, and determining an evaluation grade;
carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
determining the evaluation index weight by using an analytic hierarchy process;
and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
The second aspect of the invention provides a system for evaluating the safety utilization effect of salt water resources.
A system for evaluating the safety utilization effect of salt water resources comprises:
an index architecture building module configured to: constructing a salt water resource safety utilization evaluation index system;
a rank determination module configured to: selecting an evaluation index, and determining an evaluation grade;
a processing module configured to: carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
a weight determination module configured to: determining the evaluation index weight by using an analytic hierarchy process;
an evaluation module configured to: and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
A third aspect of the invention provides a computer-readable storage medium.
A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for evaluating the safety utilization effect of a salt water resource as described in the first aspect above.
A fourth aspect of the invention provides a computer apparatus.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to realize the steps of the method for evaluating the safety utilization effect of the salt water resource according to the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
the method can realize the comprehensive evaluation of the utilization of the salt water, and the comprehensive evaluation of the utilization of the salt water can show that after the salt water irrigation technology is implemented in a typical area, the local water source consumption is reduced, the utilization efficiency of water resources is improved, the agricultural water saving obtains a better effect, and the development prospect is considerable.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flow chart of a method for evaluating the safety utilization effect of a salt water resource, which is disclosed by the invention;
FIG. 2 is a frame diagram of a salt water resource safety utilization evaluation index system shown in the invention;
FIG. 3a shows f according to the inventioniThe larger biThe larger the also, the more line graph of the efficacy function;
FIG. 3b shows f according to the inventioniThe larger biThe smaller the plot of the efficacy function.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It is noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, a segment, or a portion of code, which may comprise one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Example one
As shown in fig. 1, the present embodiment provides a method for evaluating a safety utilization effect of a salt water resource, and the present embodiment is illustrated by applying the method to a server, it is to be understood that the method may also be applied to a terminal, and may also be applied to a system including a terminal and a server, and is implemented by interaction between the terminal and the server. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network server, cloud communication, middleware service, a domain name service, a security service CDN, a big data and artificial intelligence platform, and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. In this embodiment, the method includes the steps of:
constructing a salt water resource safety utilization evaluation index system;
selecting an evaluation index, and determining an evaluation grade;
carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
determining the evaluation index weight by using an analytic hierarchy process;
and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
The specific implementation process of this embodiment is as follows:
1. evaluation index selection and evaluation index system construction
Some more appropriate evaluation indexes are selected according to the conditions of the evaluation areas, and the selected evaluation indexes are as comprehensive as possible. The comprehensive benefit evaluation process of the safe utilization of the salt water comprises the evaluation of three aspects of social benefit indexes, ecological benefit indexes and economic benefit indexes, a comprehensive evaluation index system is established for the three from the qualitative and quantitative aspects, and the analysis and evaluation are carried out by adopting a four-level mathematical model for comprehensive evaluation. The first layer is a total target layer, namely the comprehensive benefit of the safe utilization technology of the salt water; the second layer is a quantitative index and a qualitative index: the third layer comprises social indexes, ecological indexes and economic indexes, wherein: the qualitative indexes in the second layer are divided into social indexes and ecological indexes, and the quantitative indexes in the second layer comprise the social indexes, the ecological indexes and the economic indexes; the fourth layer is 12 specific indexes. The following were used:
(1) qualitative index
C1 social benefit evaluation index;
c11 farmer acceptance: the acceptance degree of the investigated user on the high-efficiency agricultural water-saving technology can be represented by the average value of the proportion of complete acceptance, basic acceptance and non-acceptance of farmers;
c12 adjustment of agricultural planting structure: the optimization and adjustment of the agricultural planting structure of the project are reflected in the change of the planting structure proportion of the grain crops, the economic crops and the feed crops, and the adjustment degree of the agricultural planting structure can be reflected through the planting area proportion of various crops and the change of the multiple cropping index.
C2 ecological benefit evaluation index:
effect of C21 on soil moisture retention: water and soil resources are protected, the utilization rate of the water and soil resources is improved as much as possible, and the land productivity is improved. Water and soil conservation rate is an important index for measuring ecological environment construction of regions, particularly drought regions.
C22 impact on sustainable water resource utilization: the development of the high-efficiency agricultural water-saving technology can not only ensure that the distribution of water resources is more suitable, reduce the exploitation of underground water and maintain the balance and circulation of the water resources, but also ensure that the production and income of farmers are increased, improve the living standard of people and promote the continuous utilization of the water resources.
(2) Quantitative index
C3 social benefit evaluation index:
c31 typical district agricultural irrigation assurance rate: it refers to the ratio of the water supply of the existing agriculture to the water demand of crops.
C32 main crop irrigation fresh water reduction: means that the amount of fresh water resources can be saved by utilizing the salt water for irrigation.
C33 irrigation water utilization coefficient improvement rate: the irrigation water utilization coefficient is a comprehensive index for evaluating the working condition of a canal system, the irrigation technology level and the irrigation area management level, and the irrigation water utilization coefficient increase rate can be represented by the ratio of the irrigation water utilization coefficient increase value before and after the project is implemented to the irrigation water utilization coefficient before the project is implemented.
② C4 ecological benefit evaluation index
Degree of salt accumulation in soil of C41 project area: on the premise of irrigation by using saline water, the salt content of soil in a research area is not too high, so that the normal growth and development of crops are not influenced.
Amplitude of change of groundwater level in item area C42: in order to avoid secondary salinization of soil, the underground water level needs to be controlled within a reasonable variation range.
③ C5 economic benefit index
Total value produced by C51 people (GDP): is an index for measuring the economic development condition of the region.
C52 pure income growth rate of farmers: the final aim of agricultural water conservation is to improve and enhance the living standard of people.
C53 agricultural water resource production benefits: is an important index for measuring the input and output benefits of agricultural water resources under the condition of high-efficiency agricultural water conservation, and is generally expressed by the agricultural output of unit water resources.
2. Determination of rating
By using the relevant knowledge of the fuzzy theory, the possible evaluation results are predicted, then the evaluation results are graded, and a set formed by the evaluation grades is called a comment set. Since the rating scale can be generally classified into five scales including excellent, good, general, poor, and poor, the patent assigns the comment set P to 5 scales, i.e., P ═ { P1 (poor), P2 (poor), P3 (general), P4 (good), P5 (excellent) }, and the correspondence between the comment set and the membership degree is P { [ P1 (poor), P2 (poor), P3 (general), P4 (good), P5 (excellent) } { [0.0, 0.2], (0.2, 0.4], (0.4, 0.6], (0.6, 0.8], (0.8, 1.0] }.
3. Normalization of indices
The selected indexes are generally divided into qualitative indexes and quantitative indexes, and the calculation methods of the membership degrees of different indexes are different.
(1) Quantification of qualitative indicators
The quantification of the qualitative index mainly utilizes a fuzzy theory to convert qualitative analysis into quantitative analysis, belongs to the fuzzy mathematics category, and generally adopts an expert interval scoring method to quantify the qualitative index. The expert interval scoring method is to employ n experts firstly, and then each expert gives a scoring interval [ m ] to the qualitative index j (j is 5, 6, 7, 8) of the ith evaluation objectlji，nlji](l 1, 2.. times.n), then a scoring interval [ m ] determined by an expert is requiredlji，nlji]Carry out the maximum and minimum treatment, note as
For interval [ Mji，Nji]M is different fromlji，nljiCounting the occurrence frequency, and calculating the occurrence frequency as
(G＝mljiOr nlji) Then calculating the total frequency
And further determining the membership frequency of each G
Finally, theThe average value of all the membership frequencies of G is calculated, and the average value is the final expert score value of the evaluation index j, and the calculation formula is as follows:
in the formula: r isjiIs between [0, 1]In the meantime.
(2) Dimensionless formulation of quantitative indicators
The problem of how to select the quantitative index standard value in the high-efficiency agricultural water-saving comprehensive benefit evaluation index system is mainly a method combining sampling survey and expert survey.
The method comprises the steps of firstly calculating actual values of quantitative indexes of different agricultural water-saving project areas, then giving a certain variation range according to production reality and theoretical values, and determining respective quality standards. In order to make the survey data more representative, reliable and authentic, the data of the selected indexes in the research area must include three types of excellent, medium and poor.
When the merits of each index standard are specifically determined, it is necessary to perform the determination separately according to the specific condition of each index. Generally, the following two cases can be classified:
a. theoretically, the indexes of the trend of merits and demerits can be clarified. Such as: the agricultural water resource production benefit (C53) can adopt the maximum value plus 20% and the minimum value minus 20% of the investigation sample as the optimal limit and the worst limit (when the sample is long enough, the optimal limit and the worst limit can be determined by adding and subtracting a standard deviation), and the evaluation index values are within the value range as much as possible.
b. The larger the value, the more unfavorable the index. The value range can be determined by reference to the preceding methods, except that the larger the value, the lower the score, and the smaller the value, the higher the score.
According to the standard, a reference standard of the current agricultural water-saving project area is formulated by surveying the agricultural water-saving project area of Shandong province and referring to a large amount of survey documents and soliciting expert opinions.
1) Social benefit evaluation index:
the agricultural irrigation guarantee rate of a typical region: respectively, the content of A is 1.0 min, B is 1.0- (0.9-actual percentage)/0.25 × 0.9 min, and C is 0.1 min, wherein A is 0.9 min, 0.75-0.9 min, and 0.75 min.
Secondly, the amount of the main crops irrigation is reduced in a rated manner: are respectively at 100m3More than one mu, 70-100m370 m/mu3Less than mu, A is counted by 1.0 point, B is counted by 1.0- (100-actual decrement)/30 points by 0.95 point, and C is counted by 0.05 point.
③ irrigation water utilization coefficient improvement rate: respectively, the content of A is 1.0 min, B is 1.0- (0.5-actual percentage)/0.25 × 0.95 min, and C is 0.05 min, wherein A is 0.5 min, 0.25-0.5 min, and 0.25 min.
2) Ecological benefit evaluation index:
item area soil salinity: respectively, the content of A is 1.0 min, B is 1.0- (0.4-maximum salt content)/0.15 × 0.9 min, and C is 0.1 min, wherein A is 0.4 min, 0.15-04 min, and 0.15 min.
Secondly, the variation amplitude of underground water in the project area is as follows: respectively, more than 0.15, 0.05-0.15, and less than 0.05, respectively, and respectively, A is counted for 1.0 min, B is counted as 1.0- (0.15-maximum amplitude)/0.1 × 0.9, and C is counted for 0.1 min.
3) Economic benefit evaluation index:
production of total value (GDP) by people: respectively, the A is counted for 1.0 min, the B is counted as 1.0- (8000-total actual production value)/1500 x 0.9 min, and the C is counted for 0.1 min above 8000 yuan, 5000-.
Secondly, the electricity saving benefit is as follows: respectively, the content of A is 1.0 min, B is 1.0- (0.2-actual percentage)/0.1 × 0.95 min, and C is 0.05 min, wherein A is 0.2 min, 0.1-0.2 min, and 0.1 min.
And thirdly, agricultural water resource output benefit: are respectively at 15 yuan/m3Above, 5-15 yuan/m35 yuan/m3In the following, A is counted for 1.0 point, B is counted for 1.0- (15-actual agricultural water resource output benefit)/5 point, and C is counted for 0 point.
Secondly, normalizing each index value through an efficacy coefficient method in multi-objective decision analysis. The efficacy coefficient method is to compare the values of each index with the standard values, and give a certain efficacy coefficient (i.e. score) respectively, and use biAnd (4) showing. This value is between 0 and 1, when the target is most satisfactory, b is takeni1 is ═ 1; when worst, take bi0. Description of biAnd fi(x) Is called the efficacy function and is denoted bi＝Fi(fi). Since the power functions have different types, different types of suitable power functions should be selected for different indexes according to the types of the indexes, and the functions can be divided into 2 types in general:
①fithe larger biThe larger the size, the maximum target size is obtained. The maximum value and the minimum value of the index are assumed to be A, the minimum value is assumed to be B, the scores corresponding to the maximum value and the minimum value are a and B respectively, the efficacy function of the type can be represented by an image of the following graph (figure 3a), and the index can be positioned in a range [ B, A ] except the maximum value and the minimum value]When they are at the H point, the specific score calculation formula of the H point can be expressed as:
in the formula: the meaning of P refers to the score of a certain index; when b is 0 and a is 1, the above-expressed point formula becomes:
②fithe larger biThe smaller the size, the smallest the goal. The maximum value and the minimum value of the index are assumed to be A, the minimum value is assumed to be B, the scores corresponding to the maximum value and the minimum value are a and B respectively, the efficacy function of the type can be represented by the following graph (figure 3B), and the index can be positioned in the interval B, A except the maximum value and the minimum value]When they are at the H point, the specific score calculation formula of the H point can be expressed as:
in the formula: the meaning of P is the score of a certain index; when b is 1 and a is 0, the above-expressed point formula becomes:
4. determination of weights
Because different indexes have different effects in an evaluation system, and in order that an evaluation result is more consistent with the actual situation, different weights must be determined for each index, and an analytic hierarchy process is adopted to determine the weights. According to the actual situation, the weight of each index is determined through methods such as questionnaire survey and expert analysis, a weight system is formed, and the evaluation result can be conveniently calculated in the future.
The main steps for determining the weight are as follows:
(1) determination of the target A and the evaluation factor V
(2) Structural judgment matrix
With A denotes the target, viIndicates the evaluation factor, vi∈V(i＝1，2，…，n)，vijDenotes viFor vjRelative importance value (also called scale) (j ═ 1, 2, …, n), vijThe values of (A) are shown in Table 1 below.
TABLE 1 Determinational degree of the decision matrix I and its meaning
| Scale vij | Means of |
| 1 | Denotes viAnd vjCompared with the same importance |
| 3 | Denotes viAnd vjComparison, viRatio vjOf slight importance |
| 5 | Denotes viAnd vjComparison, viRatio vjOf obvious importance |
| 7 | Denotes viAnd vjComparison, viRatio vjOf strong importance |
| 9 | Denotes viAnd vjComparison, viRatio vjOf extreme importance |
| 2，4，6，8 | 2, 4, 6, 8 represent values in the adjacent decision matrices 1-3, 3-5, 5-7, 7-9, respectively |
| Reciprocal of the | Denotes viAnd vjV is obtained by comparisonijThen v isjAnd viV is obtained by comparisonji＝1/vij |
The following decision matrix is derived from the meaning of the scale values described above:
(3) computing importance rankings
The maximum eigenvalue of the P matrix can be firstly obtained, and then the unit eigenvector corresponding to the maximum eigenvalue can be obtained. The components of the unit feature vector are the importance ranking of the evaluation factors, namely the weight distribution.
(4) Examination of
The unit feature vector obtained above is the weight vector to be solved, but whether the weight distribution is reasonable or not needs to perform consistency check on the judgment matrix, and the formula is used:
in the formula: CR is the random consistency ratio of the judgment matrix; CI is the general consistency index of the judgment matrix according to the formula
Calculating; RI is an average random consistency index of the judgment matrix, and the value of RI is shown in Table 2.
TABLE 2 determination of RI values for matrices
Criterion is as follows: when CR is less than 0.10, the consistency of the judgment matrix is satisfactory, and the distribution of the weight of each index is reasonable; otherwise, it is determined that the distribution of the weights is not reasonable, and the decision matrix needs to be further adjusted until the consistency of the matrix is satisfied.
5. Establishment of comprehensive evaluation mathematical model and calculation of evaluation result
According to the method described above, after the relative membership matrix R and the weight w of each layer of factor set are calculated, the evaluation set of the factor set can be obtained by using the comprehensive function formula. The formula of the comprehensive function is as follows:
Dis＝wis·Ris
in the formula: s represents the s-th factor set; i represents the i target layer of the s factor set; "·" is a composition operator.
Because the analysis evaluation belongs to multi-level evaluation, when multi-level evaluation is carried out, evaluation needs to be carried out from a low level to a high level step by step, and an evaluation vector of the low level evaluation needs to continuously participate in the evaluation of the previous level. By the method, the final judgment set can be obtained by judging layer by layer.
And multiplying the weight system of each index by the membership matrix according to a correlation formula to obtain a final judgment set, and then comparing the obtained final judgment set with the membership to obtain a final judgment result.
In one embodiment, the Huimin county in estuary region of eastern City is taken as an example, the Huimin county belongs to yellow river alluvial plains, a depression zone belonging to North China land tables in geological structure deposits and fills a large amount of silt due to migration and inundation of the yellow river in history, and the geological structure is loose (the surface layer is a permeable stratum, the middle layer is an aquifer and the lower layer is a water-resisting stratum), so that good geological conditions are provided for storing underground water. Due to the influence of complex conditions such as geological structure, deposition environment and the like, the distribution rule of the aquifer is as follows: seen from the horizontal direction, the brackish water is distributed in a staggered way, and is particularly obvious from north of a dready river; in the vertical direction, the water quality changes into a light-salty-light type three-layer structure and a salty-light type two-layer structure. According to the water quality analysis data, the chemical type of the underground water is chloride potassium sodium type, the degree of mineralization is 2.12-6.10 g/l, the pH value is 7.20-7.40, and the total hardness is 27.97-101.30 (Germany).
According to the established evaluation system, the indexes are normalized, and the calculation result is as follows:
1. quantification of qualitative indicators
Aiming at qualitative indexes selected in the comprehensive agricultural water-saving evaluation process of typical regions in Huimin county, an expert interval scoring method is adopted to quantify the indexes, namely, relevant questionnaires are set, experts are hired to respectively score intervals of each index, and then a mathematical statistics method is used for determining. When the qualitative indexes of the research are quantified, tens of experts such as the water conservancy bureau in the coastal city, the masses in the research area and the construction units are hired to score.
Taking the "index of the degree of acceptance of farmers" as an example, the index is quantified by using an expert interval scoring method. The method comprises the following specific steps: the first step is to carry out maximum and minimum processing on the scoring interval determined by tens of experts,to obtain Mji＝0.9，Nji0.2; and secondly, counting the frequencies, and solving the membership frequency of the index and the average of the membership frequency, so that the average of the membership frequency can be used as the final expert scoring value of the index.
By the same method, other qualitative indexes in the index system can be quantized to obtain expert scoring values of the other qualitative indexes, and therefore the membership matrix of the fourth layer of qualitative indexes is obtained as follows:
2. dimensionless formulation of quantitative indicators
First, the actual values of the quantitative indicators of the study area are calculated:
(1) social benefit evaluation index:
the agricultural irrigation guarantee rate of a typical region: the ratio of the existing agricultural water supply to the crop water demand is expressed, namely 3.3/3.9 x 100% to 84.6%.
② the reduction amount of irrigation fresh water of main crops is 321-270 ═ 51m3。
③ irrigation water utilization coefficient improvement rate: can be expressed as the ratio of the irrigation water utilization coefficient increase before and after the project is implemented to the irrigation water utilization coefficient before the project is implemented, i.e. (0.78-0.56)/0.56 × 100% -. 39.3%.
(2) Ecological benefit evaluation index:
the soil salt accumulation degree of the project area belongs to slight salinization, and the highest salt content is 3.83 g/kg.
And the amplitude of underground water level in the project area is 0.2-2.7 m.
(3) Economic benefit evaluation index:
total human settlements production value (GDP): the population-average total production value (GDP) of the project area reaches 7000 yuan.
Secondly, the electricity saving benefit is as follows: in the canal irrigation, the electricity consumption per mu is 30 degrees, and the electricity charge per mu is 15 yuan. According to the three-time irrigation of winter wheat, 90 degrees of electricity is consumed per mu, and electricity charges are 45 yuan. The saline water irrigation adopts the two times of fresh water irrigation, the other times of saline water irrigation are saline water irrigation, the electricity consumption per mu of irrigation is only 8 degrees, the electricity consumption is 4 yuan, and compared with the fresh water irrigation, the saline water irrigation saves 22 degrees of electricity per mu, and the electricity saving rate is 27.8 percent. The electric charge is saved by 11 yuan and the expenditure is saved by 24.4%.
And thirdly, agricultural water resource output benefit: it is usually expressed in terms of agricultural output per unit of water resource, i.e. total agricultural output/total agricultural water usage 3362/255 is 13.2 yuan.
Secondly, the actual values of the quantitative indexes are subjected to dimensionless treatment by applying an efficacy coefficient method, and specific quantitative results are shown in table 3.
TABLE 3 quantitative calculation table for each quantitative index in Huimin county
Through quantification, the relative membership matrix corresponding to the fourth layer quantitative index factor set can be obtained as follows:
3. determination of weights
All indexes are calculated by the masses and experts working in the field related to the research area, the eigenvalue and the eigenvector of the matrix are calculated by utilizing the command in the MATLAB conveniently, the result is clear and visible, and the weight of each layer of evaluation index is calculated as follows:
(1) determination of second level index weight
The second level has a set of index weights V2＝{v2 1，v2 2Obtaining an importance judgment matrix by the above weighting method through pairwise comparison
. Then obtaining the maximum eigenvalue lambda of the judgment matrix through operationmaxAfter entering consistency test formula 2Get CR equal to 0, CR<0.10, it can be seen that the judgment matrix has good consistency. The eigenvector of the maximum eigenvalue corresponding to the matrix is s (0.3162, 0.9487), and then the weight w of the second level index is obtained after normalizing the eigenvector2＝(0.2500，0.7500)。
(3) Determination of third level index weight
1) Determination of qualitative index weights
The third level qualitative index set is V3 1＝{v3 1，v3 2Get the judgment matrix of importance by comparing two by two
Maximum eigenvalue λmaxSubstituting 2 into the consistency test formula to obtain CR 0<0.10, the judgment matrix has good consistency, and the weight w of the third level index is obtained by the same method3 1＝(0.5000，0.5000)。
2) Calculation of quantitative index weights
The third level quantitative index set is V3 2＝{v3 3，v3 4，v3 5Get the importance judgment matrix by comparing two by two
Maximum eigenvalue λmax3.0183, and substituting the formula for consistency test to obtain CR 0.0079<0.10 can find that the judgment matrix has good consistency, and the weight of the third-level quantitative index is obtained as w3 2＝(0.2402，，0.2097，0.5501)。
(3) Determination of fourth level index weight
1) Qualitative index
First, social indicators
The social index set in the fourth-level qualitative index is V4 1＝{v41 1，v41 2And then comparing two by two to obtain an importance judgment momentMatrix of
Maximum eigenvalue λmaxSubstituting 2 into the consistency test formula to obtain CR 0<0.10, the judgment matrix has good consistency, and the weight of the social index in the fourth-level qualitative index is calculated to be w4 1＝(0.2450，0.7550)。
Second, ecological environmental index
The ecological environment index set in the fourth-level qualitative index is V4 2＝{v42 1，v42 2And then comparing two by two to obtain an importance judgment matrix
Maximum eigenvalue λmaxSubstituting 2 into the consistency test formula to obtain CR 0<0.10, the judgment matrix has good consistency, and the weight of the ecological environment index in the fourth-level qualitative index is calculated to be w4 2＝(0.3333，0.6667)。
2) Quantitative index
First, social indicators
The social index set in the fourth-level qualitative quantity index is V4 3＝{v43 1，v43 2，v43 3And then comparing two by two to obtain an importance judgment matrix
Maximum eigenvalue λmaxWhen 3.0735 is substituted into the consistency test formula, CR is 0.0046 and CR is obtained<0.10, the judgment matrix has good consistency, and the weight of the social index in the fourth-level quantitative index is finally calculated to be w4 3＝(0.1172，0.2684，0.6144)。
Second, ecological environmental index
The social index set in the fourth-level quantitative indexes is V4 3＝{v44 1，v44 2And then comparing two by two to obtain an importance judgment matrix
Maximum eigenvalue λmaxAfter the consistency check formula is substituted, the result is that C is 0, CR<0.10, the judgment matrix has good consistency, and the weight of the social index in the fourth-level quantitative index is finally calculated to be w4 4＝(0.2500，0.7500)。
Economic indicators
The social index set in the fourth-level quantitative indexes is V4 5＝{v45 1，v45 2，v45 3And then comparing two by two to obtain an importance judgment matrix
Maximum eigenvalue λmaxWhen 3.0092 is substituted into the consistency test formula, CR is 0.0046 and CR is obtained<0.10, the judgment matrix has good consistency, and the weight of the economic index in the fourth-level quantitative index is calculated to be w4 5＝(0.1634，0.2969，0.5397)。
4. Establishment of comprehensive evaluation mathematical model and calculation of evaluation result
Therefore, on the basis of the relative membership matrix and the weight of the fourth-layer index calculated above, by using a comprehensive function formula, each evaluation vector of the fourth-layer index set can be obtained as follows:
then the relative goodness matrix of the third layer index is:
according to the relative dominance matrix and the weight of the third-layer index, each judgment vector of the third-layer index set is obtained as follows:
then the relative dominance matrix of the second layer index is:
in the relative dominance matrix and the weight of the second-layer index, the judgment vector (final judgment set) of the second-layer index set can be obtained as follows:
and obtaining the final evaluation result of the comprehensive benefit evaluation of the safe utilization of the salt water in the demonstration area of the project of the Huimin county as 'good' according to the corresponding relation between the evaluation set and the membership degree.
Therefore, comprehensive evaluation on the utilization of the salt water shows that after the salt water irrigation technology is implemented in a typical area, the local water source consumption is reduced, the utilization efficiency of water resources is improved, the agricultural water saving effect is good, and the development prospect is considerable.
Example two
The embodiment provides a system for evaluating the safety utilization effect of salt water resources.
A system for evaluating the safety utilization effect of salt water resources comprises:
an index architecture building module configured to: constructing a salt water resource safety utilization evaluation index system;
a rank determination module configured to: selecting an evaluation index, and determining an evaluation grade;
a processing module configured to: carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
a weight determination module configured to: determining the evaluation index weight by using an analytic hierarchy process;
an evaluation module configured to: and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
It should be noted here that the index system building module, the level determining module, the processing module, the weight determining module and the evaluating module are the same as the example and the application scenario realized by the steps in the first embodiment, but are not limited to the disclosure in the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the method for evaluating the safety utilization effect of salt water resources as described in the first embodiment above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps in the method for evaluating the safety utilization effect of the salt water resource as described in the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for evaluating the safety utilization effect of salt water resources is characterized by comprising the following steps:
constructing a salt water resource safety utilization evaluation index system;
selecting an evaluation index, and determining an evaluation grade;
carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
determining the evaluation index weight by using an analytic hierarchy process;
and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
2. The method for evaluating the safety utilization effect of the salt water resource according to claim 1, wherein the salt water resource safety utilization evaluation index system comprises a first layer, a second layer, a third layer and a fourth layer, wherein the first layer is a total target layer, the second layer constitutes a primary factor influencing the total target layer, the third layer constitutes a secondary factor influencing the total target layer, and the fourth layer constitutes a tertiary factor influencing the total target layer; constructing a total target layer according to relevant standard and by combining with relevant background and experience in the field of green mine construction; and determining the number of evaluation index items of the second layer, the number of evaluation index items of the third layer and the number of evaluation index items of each index layer corresponding to the fourth layer by analyzing the advantages and the disadvantages of the existing evaluation indexes.
3. The method for evaluating the safety utilization effect of the salt water resource according to claim 2, wherein the second layer comprises a quantitative index and a qualitative index: the qualitative indexes of the third layer comprise social indexes and ecological indexes, the quantitative indexes of the third layer comprise social indexes and ecological indexes, social indexes, ecological indexes and economic indexes, and the fourth layer comprises four indexes of the qualitative indexes and eight indexes of the quantitative indexes.
4. The method for evaluating the safety utilization effect of the salt water resource according to claim 3, wherein four indexes of the qualitative indexes comprise: farmers receive the degree index, the adjustment index of agricultural planting structure, the influence index on the soil water conservation rate and the influence index on the sustainable utilization of water resources;
eight of the quantitative indicators include: the method comprises the following steps of typical area agricultural irrigation guarantee rate index, main crop irrigation fresh water reduction amount index, irrigation water utilization coefficient improvement rate index, project area soil salt accumulation degree index, project area underground water level variation range index, total per-man production value index, node income increase benefit index and agricultural water resource output benefit index.
5. The method for evaluating the effect of safety utilization of salt water resources according to claim 2, wherein an evaluation index weight is determined by using an analytic hierarchy process; based on the evaluation index weight, the process of comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method comprises the following steps:
obtaining an importance judgment matrix and a maximum feature set by pairwise comparison according to the index sets in the second layer, and calculating the weight of the qualitative index and the weight of the quantitative index in the second layer based on the importance judgment matrix and the maximum feature set; obtaining each judgment vector of the second layer index set based on the weight of the second layer qualitative index and the weight of the quantitative index in combination with the relative dominance matrix of the second layer index;
obtaining an importance judgment matrix and a maximum feature set by pairwise comparison according to the index sets in the third layer, and calculating the weight of social indexes, the weight of ecological indexes and economic indexes of the third layer based on the importance judgment matrix and the maximum feature set; obtaining each judgment vector of the third-layer index set based on the weight of the third-layer social index, the weight of the ecological index and the economic index and combining with the relative dominance matrix of the third-layer index;
obtaining an importance judgment matrix and a maximum feature set by pairwise comparison according to the index sets in the fourth layer, and calculating the weight of the qualitative index and the weight of the quantitative index in the fourth layer based on the importance judgment matrix and the maximum feature set; obtaining each judgment vector of the fourth-layer index set based on the weight of the fourth-layer qualitative index and the weight of the quantitative index in combination with the relative dominance matrix of the fourth-layer index;
and obtaining a final evaluation result of comprehensive benefit evaluation of the salt water safety utilization based on the corresponding relation between each evaluation vector of the second-layer index set, each evaluation vector of the third-layer index set and each evaluation vector of the fourth-layer index set and the membership degree.
6. The method for evaluating the safety utilization effect of the salt water resource according to claim 5, wherein the weight calculation process of the fourth layer qualitative index and the weight calculation process of the quantitative index comprises the following steps:
obtaining an importance judgment matrix and a maximum feature set by pairwise comparison according to the index sets in the fourth layer of qualitative indexes, and calculating the weight of the social indexes and the weight of the ecological environment indexes in the fourth layer of qualitative indexes on the basis of the importance judgment matrix and the maximum feature set;
and obtaining an importance judgment matrix and a maximum characteristic set by pairwise comparison according to the index sets in the fourth layer of quantitative indexes, and calculating the weight of the social indexes, the weight of the ecological environment indexes and the weight of the economic indexes in the fourth layer of quantitative indexes on the basis of the importance judgment matrix and the maximum characteristic set.
7. The method for evaluating the safety utilization effect of the salt water resource according to claim 5, wherein the evaluation grade comprises: excellent, good, fair, poor and very poor.
8. A system for evaluating the safety utilization effect of salt water resources is characterized by comprising the following components:
an index architecture building module configured to: constructing a salt water resource safety utilization evaluation index system;
a rank determination module configured to: selecting an evaluation index, and determining an evaluation grade;
a processing module configured to: carrying out quantization processing on the qualitative indexes, and carrying out dimensionless processing on the quantitative indexes;
a weight determination module configured to: determining the evaluation index weight by using an analytic hierarchy process;
an evaluation module configured to: and based on the evaluation index weight, comprehensively evaluating the target to be evaluated by adopting a fuzzy mathematical method.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for the effect evaluation of the safety of salt water resources usage according to any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps in the method for evaluating the safety utilization effect of a salt water resource according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111385595.3A CN114037332A (en) | 2021-11-22 | 2021-11-22 | Method and system for evaluating safety utilization effect of salt water resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111385595.3A CN114037332A (en) | 2021-11-22 | 2021-11-22 | Method and system for evaluating safety utilization effect of salt water resources |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114037332A true CN114037332A (en) | 2022-02-11 |
Family
ID=80138334
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111385595.3A Pending CN114037332A (en) | 2021-11-22 | 2021-11-22 | Method and system for evaluating safety utilization effect of salt water resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114037332A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222279A (en) * | 2011-06-14 | 2011-10-19 | 华南理工大学 | Evaluation method of leather-making industry technology based on fuzzy comprehensive evaluation method |
| CN105023067A (en) * | 2015-08-04 | 2015-11-04 | 环境保护部南京环境科学研究所 | Analytic hierarchy process-fuzzy comprehensive evaluation-based chemical project environmental risk evaluation system |
| CN106846178A (en) * | 2017-02-13 | 2017-06-13 | 水利部交通运输部国家能源局南京水利科学研究院 | A kind of river type water head site comprehensive safety evaluation method |
| CN109272182A (en) * | 2018-06-28 | 2019-01-25 | 华北水利水电大学 | A kind of water resources benefit dynamic evaluation method based on variable fuzzy decision-making theory |
| CN111967754A (en) * | 2020-08-11 | 2020-11-20 | 成都理工大学 | Iron ore tailing resource comprehensive utilization benefit evaluation method based on sustainable development |
| CN112330168A (en) * | 2020-11-12 | 2021-02-05 | 中国葛洲坝集团易普力股份有限公司 | Green mine construction evaluation method based on fuzzy mathematics and hierarchical analysis |
| CN113673819A (en) * | 2021-07-13 | 2021-11-19 | 国网电力科学研究院武汉能效测评有限公司 | Comprehensive benefit evaluation method and evaluation system for biomass resource conversion and utilization |
-
2021
- 2021-11-22 CN CN202111385595.3A patent/CN114037332A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222279A (en) * | 2011-06-14 | 2011-10-19 | 华南理工大学 | Evaluation method of leather-making industry technology based on fuzzy comprehensive evaluation method |
| CN105023067A (en) * | 2015-08-04 | 2015-11-04 | 环境保护部南京环境科学研究所 | Analytic hierarchy process-fuzzy comprehensive evaluation-based chemical project environmental risk evaluation system |
| CN106846178A (en) * | 2017-02-13 | 2017-06-13 | 水利部交通运输部国家能源局南京水利科学研究院 | A kind of river type water head site comprehensive safety evaluation method |
| CN109272182A (en) * | 2018-06-28 | 2019-01-25 | 华北水利水电大学 | A kind of water resources benefit dynamic evaluation method based on variable fuzzy decision-making theory |
| CN111967754A (en) * | 2020-08-11 | 2020-11-20 | 成都理工大学 | Iron ore tailing resource comprehensive utilization benefit evaluation method based on sustainable development |
| CN112330168A (en) * | 2020-11-12 | 2021-02-05 | 中国葛洲坝集团易普力股份有限公司 | Green mine construction evaluation method based on fuzzy mathematics and hierarchical analysis |
| CN113673819A (en) * | 2021-07-13 | 2021-11-19 | 国网电力科学研究院武汉能效测评有限公司 | Comprehensive benefit evaluation method and evaluation system for biomass resource conversion and utilization |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China | |
| You et al. | Sustainable livelihoods and rural sustainability in China: Ecologically secure, economically efficient or socially equitable? | |
| Peng et al. | Comprehensive evaluation on water resource carrying capacity based on DPESBR framework: A case study in Guiyang, southwest China | |
| Shi et al. | Evaluation of the ecological sensitivity and security of tidal flats in Shanghai | |
| Khan et al. | Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model | |
| Wang et al. | Ecological compensation for winter wheat abandonment in groundwater over-exploited areas in the North China Plain | |
| Liu et al. | ELM evaluation model of regional groundwater quality based on the crow search algorithm | |
| Faramarzi et al. | Analysis of intra-country virtual water trade strategy to alleviate water scarcity in Iran | |
| CN108876209A (en) | A kind of Red Soil Paddy Fields fertility evaluation method considering fractional yield | |
| CN113988688B (en) | Method and system for evaluating ecological sustainability of cultivated land | |
| Zhao et al. | Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application | |
| CN108520345A (en) | Evaluation for cultivated-land method and system based on GA-BP neural network models | |
| Hussain et al. | A comparative appraisal of classical and holistic water scarcity indicators | |
| Yang et al. | Assessment of urban resilience based on the transformation of resource-based cities: a case study of Panzhihua, China. | |
| Liu et al. | Measurement and analysis of regional flood disaster resilience based on a support vector regression model refined by the selfish herd optimizer with elite opposition-based learning | |
| Kaiyong et al. | The research on impact factors and characteristic of cultivated land resources use efficiency---take henan province, China as a case study | |
| CN111882244A (en) | Construction method of multi-source homeland development risk assessment system based on hierarchical framework | |
| Shi et al. | Spatio-temporal differences and factors influencing intensive cropland use in the Huang-Huai-Hai Plain | |
| CN116562583A (en) | Multidimensional water resource supply and demand prediction method and system | |
| Xiong et al. | Assessing and decoupling ecosystem services evolution in karst areas: A multi-model approach to support land management decision-making | |
| CN113077127A (en) | Evaluation method for efficient utilization of water resources | |
| CN114037332A (en) | Method and system for evaluating safety utilization effect of salt water resources | |
| Wang et al. | Temporal and spatial variations of water resources constraint intensity on urbanization in the Shiyang River Basin, China | |
| Chen et al. | Temporal and spatial characteristics and optimization of the intensive use of cultivated land in Maoming City | |
| Zhang et al. | Research on Ecological Security Evaluation of Typical Agricultural and Animal Husbandry Interlaced Areas-a Case Study of Yanchi County of Ningxia Hui Autonomous Region, China. |
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 |