CN111553591A - Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment - Google Patents
Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment Download PDFInfo
- Publication number
- CN111553591A CN111553591A CN202010343820.6A CN202010343820A CN111553591A CN 111553591 A CN111553591 A CN 111553591A CN 202010343820 A CN202010343820 A CN 202010343820A CN 111553591 A CN111553591 A CN 111553591A
- Authority
- CN
- China
- Prior art keywords
- early warning
- index
- river network
- water resource
- plain river
- 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 213
- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000002265 prevention Effects 0.000 claims abstract description 45
- 238000004458 analytical method Methods 0.000 claims abstract description 39
- 238000012545 processing Methods 0.000 claims description 15
- 239000011159 matrix material Substances 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 9
- 239000010865 sewage Substances 0.000 claims description 9
- 230000036541 health Effects 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 8
- 239000003657 drainage water Substances 0.000 claims description 7
- 230000001276 controlling effect Effects 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 5
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 2
- 230000006872 improvement Effects 0.000 abstract description 13
- 238000011156 evaluation Methods 0.000 description 20
- 238000011160 research Methods 0.000 description 15
- 241000196324 Embryophyta Species 0.000 description 12
- 238000011161 development Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 230000009467 reduction Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000005086 pumping Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000000429 assembly Methods 0.000 description 2
- 230000000712 assembly Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012067 mathematical method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
- 238000003911 water pollution Methods 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
-
- 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
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a plain river network water resource early warning regulation and control method, an early warning regulation and control system and electronic equipment, and in order to achieve the purpose and other related purposes, the invention provides the plain river network water resource early warning regulation and control method, and the plain river network water resource early warning regulation and control method comprises the following steps: acquiring the weight of each subentry index of a plain river network water resource early warning index system; inputting values of each item index according to the actual condition of the water conservancy district to establish an analysis sequence, and calculating to obtain a first correlation coefficient; calculating and acquiring a first correlation degree by using the first correlation coefficient and the weight of each subentry index, and using the first correlation coefficient and the weight as an analysis column early warning index; and comparing the obtained analysis column early warning index with the reference column early warning index to obtain the early warning level of the water conservancy district, and issuing corresponding early warning information. By utilizing the method and the system, flood prevention early warning and auxiliary decision making command for water environment improvement can be comprehensively carried out in a coverage manner.
Description
Technical Field
The invention relates to the technical field of flood prevention safety and water quality early warning, in particular to a plain river network water resource early warning regulation and control method, an early warning regulation and control system and electronic equipment.
Background
At present, the research on regional water resource early warning and the application thereof at home and abroad are in the development stage, the main research also focuses on the aspects of regional water resource quality, quantity and development and utilization degree evaluation, flood forecasting, water quality prediction model establishment and the like, and applies new mathematical methods such as neural network, genetic algorithm and the like, modern computer technology and '3S' technology to the monitoring and evaluation of regional water resources, obtains more research results, the "3S" is a general name of modern information technology that collects, processes, manages, analyzes, expresses, spreads and applies spatial information, which is a combination of spatial technology, sensor technology, satellite Positioning and navigation technology, computer technology and communication technology, and has a multidisciplinary high integration, and is short for Remote Sensing (Remote Sensing), global Positioning system (gps) (global Positioning system) and Geographic information system (Geographic information system).
However, the field of regional water resource system is wide, the uncertainty exists objectively, and the complexity of research problems makes the research of water resource early warning far away from meeting the development requirement, and compared with the severity and urgency of the current water resource problems, the obtained results have a larger gap from practical application. The main performance is as follows: the method has the advantages that no clear definition exists, no overall research framework exists, a set of widely-approved evaluation index system and method is lacked, a complete quantitative calculation method is lacked, various early warning methods and models are more stayed in a theoretical research stage, the operability is not strong, meanwhile, the determined early warning limits have certain subjectivity, and the condition of complex water environment critical values cannot be well reflected.
Therefore, a set of intelligent early warning and evaluation index system with instructive and restrictive plain river network water resources is established, so that the urban flood prevention safety and the water environment improvement capability are improved, and the sustainable development of urban social economy is ensured.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention aims to provide a new method, a new system and a new electronic device for early warning and regulation of water resources in a plain river network, which are used for solving the technical problems that a perfect quantitative calculation method is lacked in the method for early warning and regulation of water resources in a plain river network in the prior art, various early warning methods and models are more staying in a theoretical research stage, operability is not strong, and meanwhile, certain early warning limits have certain subjectivity and often cannot well reflect critical values of complex water environments.
In order to achieve the above objects and other related objects, the present invention provides a method for early warning and regulation of water resources in a plain river network, comprising:
acquiring the weight of each subentry index of a plain river network water resource early warning index system;
inputting values of each item index according to the actual condition of the water conservancy district to establish an analysis sequence, and calculating to obtain a first correlation coefficient;
calculating and acquiring a first correlation degree by using the first correlation coefficient and the weight of each subentry index, and using the first correlation coefficient and the weight as an analysis column early warning index;
and comparing the obtained analysis column early warning index with the reference column early warning index to obtain the early warning level of the water conservancy district, and issuing corresponding early warning information.
In an optional embodiment, the method for obtaining the pre-warning index of the reference column includes:
establishing each subentry index threshold value;
comprehensively evaluating the index system to establish a reference number sequence, and calculating to obtain a second correlation coefficient;
and calculating to obtain a second correlation degree by using the second correlation coefficient and the weight of each respective index, and using the second correlation degree as a reference column early warning index.
In an alternative embodiment, the step of performing a comprehensive evaluation of the index system to establish the reference number sequence and calculating the second correlation coefficient includes:
carrying out comprehensive evaluation on an index system to establish a reference number sequence;
and carrying out non-dimensionalization processing on the data, and calculating to obtain the second correlation coefficient.
In an optional embodiment, the step of inputting each subentry index value according to the actual situation of the water conservancy district to establish an analysis sequence and calculating and acquiring the first correlation coefficient includes:
inputting each subentry index value according to the current situation of flood control management of the water conservancy district to establish an analysis sequence;
and carrying out non-dimensionalization processing on the data, and calculating to obtain the first correlation coefficient.
In an optional embodiment, the plain river network water resource early warning index system comprises a flood prevention safety scheduling index, a running water quality guarantee scheduling index or a combination of the flood prevention safety scheduling index and the running water quality guarantee scheduling index.
In an optional embodiment, the flood prevention safety scheduling index includes at least one of a rainfall forecast within 24h, a rainfall forecast within 12h, a station representative water level, a pump gate drainage water level control rate, a pump gate operation health degree, a scheduling plan execution rate, a scheduling effect, and an intelligent control level.
In an optional embodiment, the quality guarantee scheduling index of the running water comprises at least one of a rain and sewage mixed grafting transformation rate, a sewage interception facility standard-reaching rate, a pollutant emission standard-reaching rate, a rainfall runoff pollution control rate, a representative station water level, a pump gate drainage water level control rate, a national examination section water quality standard-reaching rate, a market examination section water quality standard-reaching rate, an important water function area water quality standard-reaching rate, a pump gate operation health degree, a scheduling plan execution rate, a scheduling effect and an intelligent control level.
In an optional embodiment, the step of obtaining the weight of each subentry index of the plain river network water resource early warning index system includes:
comparing every two sub-indexes of the plain river network water resource early warning index system and scoring;
constructing a judgment matrix according to the scoring result;
acquiring a characteristic vector of a maximum characteristic root of the judgment matrix;
and normalizing the feature vector to be used as a weight vector.
In an optional embodiment, a step of performing consistency check is further included between the step of obtaining the feature vector of the maximum feature root of the determination matrix and the step of normalizing the feature vector as a weight vector;
if the verification is passed, taking the feature vector after the normalization processing as a weight vector;
if the check fails, the judgment matrix is reconstructed, and the step of acquiring the weight vector is repeatedly executed.
In order to achieve the above objects and other related objects, the present invention provides a plain river network water resource early warning regulation and control system, comprising:
the subentry index weight obtaining unit is used for obtaining the weight of each subentry index of the plain river network water resource early warning index;
the association coefficient acquisition unit is used for inputting each subentry index value according to the current flood control management situation of the water conservancy district to establish an analysis sequence and calculating to acquire a first association coefficient;
the early warning index acquisition unit is used for calculating and acquiring a first correlation degree by utilizing the first correlation coefficient and the weight of each respective index to serve as an analysis row early warning index;
and the early warning unit is used for comparing the acquired analysis row early warning index with the reference row early warning index to acquire the early warning level of the water conservancy district and issue corresponding early warning information.
To achieve the above and other related objects, the present invention also provides an electronic device, comprising:
a communicator for communicating with the outside;
a memory for storing a computer program;
and the processor is connected with the communicator and the memory and is used for operating the computer program to execute any one of the plain river network water resource early warning regulation and control methods.
To achieve the above and other related objects, the present invention also provides a computer-readable storage medium storing a computer program; and when the computer program runs, the method for early warning and regulating the water resources of the plain river network is executed.
The invention relates to a method and a system for early warning and regulating water resources of a plain river network, aiming at comprehensively guaranteeing flood prevention safety, taking overall consideration of the principle that flood prevention drainage has minimum influence on water environment quality, the scheduling operation cost is lowest, and the maximum comprehensive benefit is the maximum, taking into account different intensity rainfall, different flood prevention safety and water quality improvement requirements, and issuing optimal water resource scheduling modes and optimal river network pre-reduction water levels, highest control water levels, lowest control water levels and other regulation parameters which are applicable to various water conditions, working conditions and early warning levels;
the plain river network water resource early warning regulation and control method and the early warning regulation and control system integrate intelligent identification, intelligent evaluation, intelligent simulation and intelligent regulation and control, and can carry out flood prevention early warning and auxiliary decision command of water environment improvement in a full-coverage manner;
the plain river network water resource early warning regulation and control method and the early warning regulation and control system can improve the urban flood prevention safety and the water environment improvement capability and guarantee the sustainable development of urban social economy.
Drawings
Fig. 1 shows a schematic flow diagram of the method for early warning and regulating water resources in a plain river network.
Fig. 2 is a schematic flow chart showing the process of obtaining the weight of each subentry index of the plain river network water resource early warning index system according to the present invention.
FIG. 3 shows a 24h rainfall profile for aquatic weeds southern slices.
Fig. 4 shows a block diagram of the plain river network water resource early warning regulation and control system of the present invention.
Fig. 5 is a block diagram of an electronic device according to the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Please refer to fig. 1-5. It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The field that regional water resource system relates to is wider, the complexity of the uncertainty that exists objectively, research problem for the research of water resource early warning still far satisfies the needs of development, compares with the severity and the urgency of present water resource problem, and the achievement that obtains still has great gap apart from practical application, mainly shows: the method has the advantages that no clear definition exists, no overall research framework exists, a set of widely-approved evaluation index system and method is lacked, a complete quantitative calculation method is lacked, various early warning methods and models are more stayed in a theoretical research stage, the operability is not strong, meanwhile, the determined early warning limits have certain subjectivity, and the condition of complex water environment critical values cannot be well reflected.
According to the embodiment of the invention, according to the current research situation and the defects of water resource early warning at home and abroad, by introducing an early warning theory and combining the Shanghai plain tidal river network type special city, a set of guiding and constraining intelligent early warning and evaluation index system for the water resource of the plain river network is established, namely the early warning and regulation method for the water resource of the plain river network shown in figure 1 and the early warning and regulation system for the water resource of the plain river network shown in figure 4, wherein a flow chart of the early warning and regulation method for the water resource of the plain river network is shown, so that the flood prevention safety and the water environment improvement capability of the city are improved, and the sustainable development of the city social economy are ensured. It should be noted that the intelligent early warning and evaluation index system for the plain river network water resource can also be applied to other areas with plain river networks and is not limited to coastal tidal river network areas.
Referring to fig. 1, the method for adjusting and controlling the plain river network water resource early warning of the present invention includes the following steps of step S10, obtaining the weight of each item index of the plain river network water resource early warning index system; s20, inputting values of each item index according to the actual situation of the water conservancy district to establish an analysis sequence, and calculating to obtain a first correlation coefficient; step 30, calculating and obtaining a first correlation degree by utilizing the first correlation coefficient and the weight of each subentry index, and using the first correlation degree as an analysis column early warning index; and step S40, comparing the obtained analysis column early warning index with the reference column early warning index to obtain the early warning level of the water conservancy district, and issuing corresponding early warning information.
The technical scheme of the invention is explained by taking an example of establishing a set of plain river network water resource regulation and control intelligent early warning index system which is suitable for coastal plain tidal river network areas and has comprehensiveness, representativeness, scientificity, rationality and feasibility.
In this embodiment, according to the rainfall condition, for example, the plain river network water resource regulation and control intelligent early warning index system may be divided into two types of water resource regulation and control modes, namely, flood prevention safety and flowing water freely (in other embodiments, there may be more water resource regulation and control modes), that is, the plain river network water resource early warning index system includes a flood prevention safety scheduling index, a running water quality guarantee scheduling index, or a combination of the flood prevention safety scheduling index and the running water quality guarantee scheduling index. The flood prevention safety early warning can comprise 3 special classification subjects, 5 subordinate subjects (also called) and 8 subentry indexes; the running water quality guarantee early warning comprises 3 classification special subjects, 7 classification main bodies and 13 subentry indexes, and forms a layered, classified and subentry plain river network water resource regulation and control intelligent early warning index structure, which is detailed in tables 1 and 2.
Table 1 flood prevention safety warning index summary table
Table 2 running water quality-keeping early warning index list table
Referring to tables 1 and 2, the flood prevention safety scheduling indexes include forecast rainfall in 24h, forecast rainfall in 12h, representative station water level, pump gate drainage water level control rate, pump gate operation health degree, scheduling plan execution rate, scheduling effect and intelligent control level; the quality guarantee scheduling indexes of the running water comprise rain and sewage mixed grafting transformation rate, sewage interception facility standard-reaching rate, pollutant emission standard-reaching rate, rainfall runoff pollution control rate, representative station water level, pump gate drainage water level control rate, national examination section water quality standard-reaching rate, market examination section water quality standard-reaching rate, important water function area water quality standard-reaching rate, pump gate operation health degree, scheduling plan execution rate, scheduling effect and intelligent control level. It should be noted that, in other embodiments, the flood prevention safety warning and the running water quality guarantee warning may also have other layering, classification, and itemization manners, and are not limited to the manners in tables 1 and 2.
Step S10 is executed, for example, The subentry index weight obtaining unit 11 may obtain The weight of each subentry index of The plain river network water resource early warning index system by using an Analytic Hierarchy Process (AHP), and fig. 2 shows a flowchart of obtaining The weight of each subentry index of The plain river network water resource early warning index system.
Firstly, the expert compares every two sub-indexes of a plain river network water resource early warning index system and scores the sub-indexes (step S11), and constructs a judgment matrix according to the scoring result (step S12), wherein the judgment matrix is also called a pair comparison matrix, and a relative scale is adopted during comparison so as to reduce the difficulty of comparing various factors with different properties as much as possible and improve the accuracy; then calculating the maximum characteristic root of the judgment matrix and the corresponding characteristic vector thereof (step S13); and finally, performing consistency check by using a consistency index CI, a random consistency index RI and a consistency ratio (CR ═ CI/RI), and if the check is passed, performing normalization processing on the feature vector to serve as a weight vector: if not, the comparison matrix needs to be reconstructed, and the step of acquiring the weight vector is repeated until the required weight vector is acquired.
In a specific example, the weights of the indexes of the flood prevention safety scheduling are shown in table 3, and the weights of the sub-indexes of the live water quality guarantee scheduling are shown in table 4.
TABLE 3 flood prevention safety scheduling index weights
TABLE 4 running water quality guarantee scheduling subentry index weight
Before executing the step S20, a reference column early warning index needs to be obtained for comparing with the analysis column early warning index obtained in the step S30 and determining an early warning level, where the method for obtaining the reference column early warning index includes determining each subentry index threshold of the plain river network water resource early warning index system; comprehensively evaluating the index system to establish a reference number sequence, and calculating to obtain a second correlation coefficient; and calculating to obtain a second correlation degree by using the second correlation coefficient and the weight of each respective index, and using the second correlation degree as a reference column early warning index.
Specifically, for example, reference may be made to "detailed rules for water resource scheduling implementation of water conservancy control slices in Shanghai city", "surface water environmental quality standards", "functional divisions of important rivers and lakes in Shanghai city", and the respective sub-index thresholds of the plain river network water resource early warning index system are determined in combination with the Suzhou river system warning water level approval result, and the national and city-level assessment section water quality standard-reaching requirements; as an example, each subentry index threshold of the plain river network water resource early warning index system can be divided into five levels, namely green, blue, yellow, orange and red 5 reference early warning levels, and the grades are divided and shown in table 5. And performing comprehensive evaluation on the index system by adopting a grey correlation method, establishing a reference number sequence, performing non-dimensionalization on the data, and calculating a correlation coefficient (namely a second correlation coefficient). Calculating a degree of association (namely a second degree of association) by combining the weight of each item index acquired in the step S10, namely a five-color reference column early warning index; as an example, the flood prevention safety scheduling early warning index five-color grading standard is shown in table 6, and the running water quality guarantee scheduling early warning index five-color grading standard is shown in table 7. It should be noted that, in other embodiments, the threshold of each subentry index may also be divided into other suitable number of different levels, and the value corresponding to each level may also be adjusted according to the actual situation, and is not limited to the numerical values in tables 5 to 7.
TABLE 5 Water resources Regulation and control early warning index grading Table
In table 5, because the classification standards of the representative station water levels in the aquatic weeds south and north lake areas are different, taking the aquatic weeds south plate as an example, the quality guarantee water level of the running water, the blue warning water level, the yellow warning water level, the orange warning water level and the red warning water level are respectively 3.5m, 3.8m, 4.0m, 4.3m and 6.0m, while in the north lake area, the quality guarantee water level of the running water, the blue warning water level, the yellow warning water level, the orange warning water level and the red warning water level are sequentially 3.2m, 3.4m, 3.6m, 3.8m and 5.0 m.
TABLE 6 hierarchical standard of early warning indexes of flood prevention safety regulation and control early warning index system
TABLE 7 grading standards of early warning indexes of quality-keeping regulation and control early warning index system for running water
Executing the step S20-the step S40, inputting the values of the various item indexes according to the actual situation of the water conservancy district to establish an analysis sequence, and calculating to obtain a first correlation coefficient; calculating to obtain a first correlation degree by using the first correlation coefficient and the weight of each subentry index, and using the first correlation coefficient and the weight of each subentry index as an analysis column early warning index; and comparing the obtained analysis column early warning index with the reference column early warning index to obtain the early warning level of the water conservancy district, and issuing corresponding early warning information.
Specifically, the user fills in each subentry index according to the current flood control management situation of the water conservancy district, establishes an analysis series, performs dimensionless processing on data, calculates a first association coefficient, and calculates a first association degree by combining the weight of each subentry index obtained in step S10, namely, an analysis series early warning index. And comparing the calculated analysis row early warning index with the acquired five-color reference row early warning index, judging which color early warning belongs to (namely judging the early warning level of the water conservancy district), and issuing corresponding early warning information according to the early warning level. It should be noted that the non-dimensionalization is performed because each number sequence is an index of heterogeneous things, so some numbers may be very large and some numbers are very small, but this is not determined by their intrinsic properties, but is only caused by different dimensions, so it is necessary to perform non-dimensionalization on them, this operation is generally called normalization (normalization) in the data processing field, that is, the difference of absolute values of data is reduced, they are unified into an approximate range, and then the change and trend are focused on.
Taking a flood prevention safety scheduling mode as an example, a user selects a research area (comprising aquatic weeds south and north slices) as required, a predicted time period (24h) is input, the system automatically obtains rainfall capacity of 24h in the future and the predicted surface average highest water level of the area, the user fills 5 indexes of a pumping gate guiding and discharging water level control rate (%), a pumping gate operation health degree (%), a scheduling plan execution rate (%), a scheduling effect and an intelligent control level according to the actual management and operation conditions of the area, background calculation is performed, comprehensive evaluation of an index system is performed by adopting a gray correlation method, an analysis array is established, a reference array is determined, dimensionless processing is performed on data, a correlation coefficient is calculated, and the correlation degree is calculated by combining weight, namely, the analysis array early warning index is obtained. And dividing early warning levels according to the calculated analysis column early warning indexes, and providing a most scientific, most reasonable and most cost-saving flood prevention scheduling mode and a pre-reduction water level according to the division categories.
Taking a flowing water smooth flow scheduling mode as an example, a user selects a research film area (comprising aquatic weeds south films and north films) according to needs, fills 13 itemized indexes according to the actual situation of the film area, performs comprehensive evaluation on an index system by adopting a grey correlation degree method, establishes an analysis sequence, performs dimensionless processing on data, calculates a correlation coefficient, and calculates the correlation degree by combining weights, namely, an analysis sequence early warning index. And dividing early warning levels according to the calculated analysis column early warning indexes, and providing a running water smooth flow scheduling mode which is most scientific, most reasonable and most cost-saving for the district according to the division categories.
In a specific example of the flood prevention safety scheduling mode: for the case of aquatic weeds Nanpian, 2016, 6: 00-2016, 9-9, 16, 5:00 rainfall, the 24-hour rainfall is 119.0mm, and the 12-hour maximum rainfall is 101.0 mm. The rainfall process is shown in figure 3. Aquatic weeds the south China tablet selects the representative station of the Shidan pumping station, the water level is 3.07m, so the index value of the water level of the representative station is 90, and other indexes are valued according to the most unfavorable principle. And carrying out homogenization and dimensionless treatment, and calculating to obtain the comprehensive evaluation index of the aquatic weeds south flood prevention safety early warning, which is 0.6391. And comparing with the comprehensive evaluation index standard of flood prevention safety early warning in the table 6, wherein the early warning level of aquatic weeds south China is orange.
The index values are subjected to consistency and dimensionless treatment, and aquatic weeds south flood prevention safety early warning comprehensive evaluation indexes (analysis column early warning indexes) are obtained through calculation, wherein the south flood prevention safety early warning comprehensive evaluation indexes are 0.6391, the early warning level is orange, and the optimal scheme is given under orange color: the scheduling mode of the on-chip pump gate is 'diversion full drainage', the pre-reduction water level is 2.4m, and the scheduling mode is consistent with the basic requirements of the flood control scheduling of the upper sea water conservancy control piece in 'the Water conservancy control piece flood control scheduling implementation rules of Shanghai city'.
TABLE 8 aquatic weeds south disc flood prevention safety precaution index
The invention relates to a water resource early warning regulation and control method and an early warning regulation and control system, which comprehensively consider the current situation flood defense capacity and water environment quality, rain condition, work condition and other factors of a plain river network area, and an intelligent early warning index system for water resource regulation and control is divided into 4 classification subjects (weather rainfall, hydrological condition/hydrological water quality, scheduling management and how to pollute), 9 classification subjects (short-term rainfall forecast, river network water level, pump gate facility, scheduling performance, drainage system, sewage disposal plant or industrial enterprise drain, rainfall runoff pollution and section water quality) and 15 classification indexes (rainfall within 24h forecast, rainfall within 12h forecast, rainfall, rain and sewage mixed transformation rate, sewage interception facility standard rate, pollutant discharge standard rate, rainfall runoff pollution control rate, representative water level, pump gate drainage water level control rate and national section water quality standard rate, water quality standard-reaching rate of a section for municipal examination, water quality standard-reaching rate of an important water functional area, pump gate operation health degree, scheduling plan execution rate, scheduling effect and intelligent control level). The method is used for responding to weather rainfall, tide (water) level and water quality change conditions of coastal sites and sudden water pollution accidents, releasing flood prevention and water environment early warning levels, providing an optimal regulation and control plan and providing an auxiliary decision command for flood prevention early warning and water environment improvement of plain river network areas. Specifically, the method aims at comprehensively guaranteeing flood prevention safety, gives consideration to the minimum influence of flood prevention drainage on water environment quality and the minimum scheduling operation cost, and releases the optimal water resource scheduling mode and the optimal water network pre-reduction water level, the highest control water level, the lowest control water level and other regulation and control parameters under various water conditions, work conditions and early warning levels according to the principle that the maximum comprehensive benefit is the maximum, and the different rainfall, different flood prevention safety and water quality improvement requirements are considered. The intelligent flood prevention and water environment improvement system integrates intelligent identification, intelligent evaluation, intelligent simulation and intelligent regulation, and can carry out flood prevention early warning and auxiliary decision-making command of water environment improvement in a full-coverage manner.
The embodiment of the invention also introduces an early warning regulation and control system 1 for realizing the early warning regulation and control method for the water resource of the plain river network, and fig. 4 shows a structural block diagram of the early warning regulation and control system 1 for the water resource of the plain river network. Referring to fig. 4, the plain river network water resource early warning regulation and control system 1 includes a subentry index weight obtaining unit 11, a correlation coefficient obtaining unit 12, an early warning index obtaining unit 13, and an early warning unit 14, which are connected in sequence; the subentry index weight obtaining unit 11 is a functional module established in step S10 and configured to obtain weights of subentry indexes of the plain river network water resource early warning indexes; the correlation coefficient obtaining unit 12 is a functional module that is established to implement the step S20, and is configured to input each subentry index value according to the current situation of flood control management of the water conservancy district, so as to establish an analysis sequence, and calculate and obtain a first correlation coefficient; the early warning index obtaining unit 13 is a functional module that is established to implement the step S30, and is configured to calculate and obtain a first association degree as an analysis row early warning index by using the first association coefficient and the weight of each respective index; the early warning unit 14 is a functional module that is established to implement the step S40, and is configured to compare the obtained analysis row early warning index with the reference row early warning index to obtain an early warning level of the water conservancy district, and issue corresponding early warning information.
It should be noted that, when acquiring the reference column early warning index, the association coefficient acquiring unit 12 is also configured to perform comprehensive evaluation on the index system according to the threshold of each item index that establishes the plain river network water resource early warning index system to establish a reference column and calculate to acquire a second association coefficient, the early warning index acquiring unit 13 is also configured to calculate to acquire a second association degree by using the second association coefficient and the weight of each respective index, and the second association degree is used as the reference column early warning index, and the reference column early warning index may be stored in the early warning unit 14 for calling in subsequent comparison.
It should be noted that, in this embodiment, the functions of the above units are detailed in the steps in the above method portion, and are not described herein again.
It should be noted that, each functional unit of the plain river network water resource early warning regulation and control system may be wholly or partially integrated into one physical entity or may be physically separated during actual implementation. And these units can be implemented entirely in software, invoked by a processing element; or may be implemented entirely in hardware; and part of the units can be realized in the form of calling software by the processing element, and part of the units can be realized in the form of hardware. In addition, all or part of the units can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, the steps of the method or the units above may be implemented by hardware integrated logic circuits in a processor element or instructions in software.
It should be noted that, as shown in fig. 5, the method for adjusting and controlling the forewarning of the water resource in the plain river network according to the embodiment may also be implemented by an electronic device 2, where the electronic device 2 includes a memory 23, a processor 21 and a communicator 22 that are connected to each other, the memory 21 stores a computer program, and the computer program is executed by the processor 21 to implement the method for adjusting and controlling the forewarning of the water resource in the plain river network.
The Processor 21 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; or a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component; the Memory 23 may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
It should be noted that the computer program in the memory 23 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when the computer program is sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be substantially implemented or contributed to by the prior art, or the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention.
In summary, the method and system for early warning and regulation and control of water resources in a plain river network aim at comprehensively guaranteeing flood prevention safety, comprehensively consider the principle that flood prevention drainage has the minimum influence on water environment quality and the lowest scheduling operation cost and the maximum comprehensive benefit is the greatest, release the optimal water resource scheduling mode and the optimal river network pre-reduction water level, the highest control water level, the lowest control water level and other control parameters under various water conditions, work conditions and early warning levels in consideration of rainfall with different intensities and different flood prevention safety and water quality improvement requirements; the plain river network water resource early warning regulation and control method and the early warning regulation and control system integrate intelligent identification, intelligent evaluation, intelligent simulation and intelligent regulation and control, and can carry out flood prevention early warning and auxiliary decision command of water environment improvement in a full-coverage manner; the plain river network water resource early warning regulation and control method and the early warning regulation and control system can improve the urban flood prevention safety and the water environment improvement capability and guarantee the sustainable development of urban social economy.
In the description herein, numerous specific details are provided, such as examples of components and/or methods, to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that an embodiment of the invention can be practiced without one or more of the specific details, or with other apparatus, systems, assemblies, methods, components, materials, parts, and/or the like. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of embodiments of the invention.
Reference throughout this specification to "one embodiment", "an embodiment", or "a specific embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment, and not necessarily all embodiments, of the present invention. Thus, respective appearances of the phrases "in one embodiment", "in an embodiment", or "in a specific embodiment" in various places throughout this specification are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics of any specific embodiment of the present invention may be combined in any suitable manner with one or more other embodiments. It is to be understood that other variations and modifications of the embodiments of the invention described and illustrated herein are possible in light of the teachings herein and are to be considered as part of the spirit and scope of the present invention.
It will also be appreciated that one or more of the elements shown in the figures can also be implemented in a more separated or integrated manner, or even removed for inoperability in some circumstances or provided for usefulness in accordance with a particular application.
Additionally, any reference arrows in the drawings/figures should be considered only as exemplary, and not limiting, unless otherwise expressly specified. Further, as used herein, the term "or" is generally intended to mean "and/or" unless otherwise indicated. Combinations of components or steps will also be considered as being noted where terminology is foreseen as rendering the ability to separate or combine is unclear.
As used in the description herein and throughout the claims that follow, "a", "an", and "the" include plural references unless otherwise indicated. Also, as used in the description herein and throughout the claims that follow, unless otherwise indicated, the meaning of "in …" includes "in …" and "on … (on)".
The above description of illustrated embodiments of the invention, including what is described in the abstract of the specification, is not intended to be exhaustive or to limit the invention to the precise forms disclosed herein. While specific embodiments of, and examples for, the invention are described herein for illustrative purposes only, various equivalent modifications are possible within the spirit and scope of the present invention, as those skilled in the relevant art will recognize and appreciate. As indicated, these modifications may be made to the present invention in light of the foregoing description of illustrated embodiments of the present invention and are to be included within the spirit and scope of the present invention.
The systems and methods have been described herein in general terms as the details aid in understanding the invention. Furthermore, various specific details have been given to provide a general understanding of the embodiments of the invention. One skilled in the relevant art will recognize, however, that an embodiment of the invention can be practiced without one or more of the specific details, or with other apparatus, systems, assemblies, methods, components, materials, parts, and/or the like. In other instances, well-known structures, materials, and/or operations are not specifically shown or described in detail to avoid obscuring aspects of embodiments of the invention.
Thus, although the present invention has been described herein with reference to particular embodiments thereof, a latitude of modification, various changes and substitutions are intended in the foregoing disclosures, and it will be appreciated that in some instances some features of the invention will be employed without a corresponding use of other features without departing from the scope and spirit of the invention as set forth. Thus, many modifications may be made to adapt a particular situation or material to the essential scope and spirit of the present invention. It is intended that the invention not be limited to the particular terms used in following claims and/or to the particular embodiment disclosed as the best mode contemplated for carrying out this invention, but that the invention will include any and all embodiments and equivalents falling within the scope of the appended claims. Accordingly, the scope of the invention is to be determined solely by the appended claims.
Claims (10)
1. A plain river network water resource early warning regulation and control method is characterized by comprising the following steps:
acquiring the weight of each subentry index of a plain river network water resource early warning index system;
inputting values of each item index according to the actual condition of the water conservancy district to establish an analysis sequence, and calculating to obtain a first correlation coefficient;
calculating and acquiring a first correlation degree by using the first correlation coefficient and the weight of each subentry index, and using the first correlation coefficient and the weight as an analysis column early warning index;
and comparing the obtained analysis column early warning index with the reference column early warning index to obtain the early warning level of the water conservancy district, and issuing corresponding early warning information.
2. The method for regulating and controlling plain river network water resource early warning according to claim 1, wherein the method for obtaining the reference column early warning index comprises the following steps:
establishing each subentry index threshold value of the plain river network water resource early warning index system;
comprehensively evaluating the index system to establish a reference number sequence, and calculating to obtain a second correlation coefficient;
and calculating to obtain a second correlation degree by using the second correlation coefficient and the weight of each respective index, and using the second correlation degree as a reference column early warning index.
3. The plain river network water resource early warning and regulating method according to claim 1, wherein the step of inputting each subentry index value according to the current situation of flood control management of the water conservancy district to establish an analysis sequence and calculating to obtain the first correlation coefficient comprises the steps of:
inputting each subentry index value according to the current situation of flood control management of the water conservancy district to establish an analysis sequence;
and carrying out non-dimensionalization processing on the data, and calculating to obtain the first correlation coefficient.
4. The method for regulating and controlling plain river network water resource early warning according to claim 1, wherein the plain river network water resource early warning index system comprises flood prevention safety scheduling indexes, running water quality guarantee scheduling indexes or a combination of the flood prevention safety scheduling indexes and the running water quality guarantee scheduling indexes.
5. The method according to claim 4, wherein the flood control safety scheduling index includes at least one of rainfall forecast within 24h, rainfall forecast within 12h, station water level, pump gate drainage water level control rate, pump gate operation health, scheduling plan execution rate, scheduling effect, and intelligent management and control level.
6. The method of claim 4, wherein the live water quality guarantee scheduling index comprises at least one of a rain and sewage mixed grafting transformation rate, a sewage interception facility standard-of-standard rate, a pollutant emission standard-of-standard rate, a rainfall runoff pollution control rate, a representative station water level, a pump gate drainage water level control rate, a national examination section water quality standard-of-standard rate, a market examination section water quality standard-of-standard rate, an important water functional area water quality standard-of-standard rate, a pump gate operation health degree, a scheduling plan execution rate, a scheduling effect and an intelligent control level.
7. The plain river network water resource early warning and regulating method according to any one of claims 1 to 6, wherein the step of obtaining the weight of each subentry index of the plain river network water resource early warning index system comprises the following steps:
comparing every two sub-indexes of the plain river network water resource early warning index system and scoring;
constructing a judgment matrix according to the scoring result;
acquiring a characteristic vector of a maximum characteristic root of the judgment matrix;
and normalizing the feature vector to be used as a weight vector.
8. The method for regulating and controlling plain river network water resource early warning according to claim 7, wherein a step of performing consistency check is further included between the step of obtaining the eigenvector of the largest characteristic root of the judgment matrix and the step of normalizing the eigenvector as a weight vector;
if the verification is passed, taking the feature vector after the normalization processing as a weight vector;
if the check fails, the judgment matrix is reconstructed, and the step of acquiring the weight vector is repeatedly executed.
9. The utility model provides a water resource early warning regulation and control device which characterized in that includes:
the subentry index weight obtaining unit is used for obtaining the weight of each subentry index of the plain river network water resource early warning index;
the association coefficient acquisition unit is used for inputting each subentry index value according to the current flood control management situation of the water conservancy district to establish an analysis sequence and calculating to acquire a first association coefficient;
the early warning index acquisition unit is used for calculating and acquiring a first correlation degree by utilizing the first correlation coefficient and the weight of each respective index to serve as an analysis row early warning index;
and the early warning unit is used for comparing the acquired analysis row early warning index with the reference row early warning index to acquire the early warning level of the water conservancy district and issue corresponding early warning information.
10. An electronic device, characterized in that the electronic device comprises:
a communicator for communicating with the outside;
a memory for storing a computer program;
a processor connected to the communicator and the memory, for operating the computer program to execute the method as claimed in any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010343820.6A CN111553591A (en) | 2020-04-27 | 2020-04-27 | Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010343820.6A CN111553591A (en) | 2020-04-27 | 2020-04-27 | Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111553591A true CN111553591A (en) | 2020-08-18 |
Family
ID=72007716
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010343820.6A Pending CN111553591A (en) | 2020-04-27 | 2020-04-27 | Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111553591A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686449A (en) * | 2020-12-31 | 2021-04-20 | 国网河南省电力公司经济技术研究院 | Residential electricity consumption prediction method based on human body weather comfort index |
| CN116777122A (en) * | 2023-08-21 | 2023-09-19 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102810183A (en) * | 2012-05-24 | 2012-12-05 | 浙江工业大学 | Water resource energy efficiency extension ecological evaluation method based on improved distance |
| CN103295165A (en) * | 2013-06-26 | 2013-09-11 | 上海铂尔怡环境技术股份有限公司 | Water quality environmental quality assessment pre-warning system and method |
| CN103544399A (en) * | 2013-11-04 | 2014-01-29 | 牛丽仙 | Building electricity energy-saving management method based on grey correlation |
| CN104751292A (en) * | 2015-04-09 | 2015-07-01 | 深圳国创善能科技有限公司 | Integrated management method for electromechanical equipment operation |
| CN105894741A (en) * | 2016-05-04 | 2016-08-24 | 南京信息工程大学 | Device and method for monitoring and early warning of flood damages based on multi-resource integration |
| CN106250695A (en) * | 2016-08-03 | 2016-12-21 | 环境保护部南京环境科学研究所 | A kind of plain river network river water environmental security evaluation system |
| CN106570780A (en) * | 2016-11-02 | 2017-04-19 | 金哲 | Power transmission line dancing warning method based on gray relation theory |
| CN106570591A (en) * | 2016-11-08 | 2017-04-19 | 北京师范大学 | Riverside water source water quality safety early warning method based on water quality monitoring and source analysis |
| CN106884405A (en) * | 2017-03-08 | 2017-06-23 | 中国水利水电科学研究院 | Inrush type mountain flood assay method for a kind of Cross Some Region Without Data |
| CN107578134A (en) * | 2017-09-12 | 2018-01-12 | 西安理工大学 | A kind of the upper reaches of the Yellow River step reservoir Flood Control Dispatch method for considering early warning |
| CN107590578A (en) * | 2016-07-08 | 2018-01-16 | 深圳市纬度网络能源有限责任公司 | A kind of electromechanical equipment runs integrated management approach |
| CN108389135A (en) * | 2018-03-21 | 2018-08-10 | 安徽理工大学 | A kind of water bursting source method of discrimination based on Grey Relational Model |
| CN108875290A (en) * | 2017-05-09 | 2018-11-23 | 深圳市环境科学研究院 | Resosurces environment loading capacity method for early warning |
| CN109377089A (en) * | 2018-11-20 | 2019-02-22 | 河海大学 | A kind of evaluation method of the water resource loaded state based on coordinated development degree |
| CN109577385A (en) * | 2018-12-05 | 2019-04-05 | 交通运输部公路科学研究所 | A kind of high bearing platform supported on piles in deep water basis method for early warning and early warning system |
| CN109657933A (en) * | 2018-11-29 | 2019-04-19 | 河海大学 | A kind of regional water resources environment loaded state method for early warning |
| CN109670679A (en) * | 2018-11-29 | 2019-04-23 | 河海大学 | Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method |
| CN109738019A (en) * | 2019-01-31 | 2019-05-10 | 山东大学 | A kind of small-sized shallow lake hydro-ecological safety red line pre-alarming control system and method |
| CN110298577A (en) * | 2019-06-21 | 2019-10-01 | 济南大学 | Set disaster risk evaluating method and system for a kind of Yanhe Village based on DPSIR model |
| CN110852560A (en) * | 2019-09-24 | 2020-02-28 | 天津大学 | Comprehensive evaluation method for green construction of subway in limited space |
-
2020
- 2020-04-27 CN CN202010343820.6A patent/CN111553591A/en active Pending
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102810183A (en) * | 2012-05-24 | 2012-12-05 | 浙江工业大学 | Water resource energy efficiency extension ecological evaluation method based on improved distance |
| CN103295165A (en) * | 2013-06-26 | 2013-09-11 | 上海铂尔怡环境技术股份有限公司 | Water quality environmental quality assessment pre-warning system and method |
| CN103544399A (en) * | 2013-11-04 | 2014-01-29 | 牛丽仙 | Building electricity energy-saving management method based on grey correlation |
| CN104751292A (en) * | 2015-04-09 | 2015-07-01 | 深圳国创善能科技有限公司 | Integrated management method for electromechanical equipment operation |
| CN105894741A (en) * | 2016-05-04 | 2016-08-24 | 南京信息工程大学 | Device and method for monitoring and early warning of flood damages based on multi-resource integration |
| CN107590578A (en) * | 2016-07-08 | 2018-01-16 | 深圳市纬度网络能源有限责任公司 | A kind of electromechanical equipment runs integrated management approach |
| CN106250695A (en) * | 2016-08-03 | 2016-12-21 | 环境保护部南京环境科学研究所 | A kind of plain river network river water environmental security evaluation system |
| CN106570780A (en) * | 2016-11-02 | 2017-04-19 | 金哲 | Power transmission line dancing warning method based on gray relation theory |
| CN106570591A (en) * | 2016-11-08 | 2017-04-19 | 北京师范大学 | Riverside water source water quality safety early warning method based on water quality monitoring and source analysis |
| CN106884405A (en) * | 2017-03-08 | 2017-06-23 | 中国水利水电科学研究院 | Inrush type mountain flood assay method for a kind of Cross Some Region Without Data |
| CN108875290A (en) * | 2017-05-09 | 2018-11-23 | 深圳市环境科学研究院 | Resosurces environment loading capacity method for early warning |
| CN107578134A (en) * | 2017-09-12 | 2018-01-12 | 西安理工大学 | A kind of the upper reaches of the Yellow River step reservoir Flood Control Dispatch method for considering early warning |
| CN108389135A (en) * | 2018-03-21 | 2018-08-10 | 安徽理工大学 | A kind of water bursting source method of discrimination based on Grey Relational Model |
| CN109377089A (en) * | 2018-11-20 | 2019-02-22 | 河海大学 | A kind of evaluation method of the water resource loaded state based on coordinated development degree |
| CN109657933A (en) * | 2018-11-29 | 2019-04-19 | 河海大学 | A kind of regional water resources environment loaded state method for early warning |
| CN109670679A (en) * | 2018-11-29 | 2019-04-23 | 河海大学 | Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method |
| CN109577385A (en) * | 2018-12-05 | 2019-04-05 | 交通运输部公路科学研究所 | A kind of high bearing platform supported on piles in deep water basis method for early warning and early warning system |
| CN109738019A (en) * | 2019-01-31 | 2019-05-10 | 山东大学 | A kind of small-sized shallow lake hydro-ecological safety red line pre-alarming control system and method |
| CN110298577A (en) * | 2019-06-21 | 2019-10-01 | 济南大学 | Set disaster risk evaluating method and system for a kind of Yanhe Village based on DPSIR model |
| CN110852560A (en) * | 2019-09-24 | 2020-02-28 | 天津大学 | Comprehensive evaluation method for green construction of subway in limited space |
Non-Patent Citations (3)
| Title |
|---|
| 徐美 等: "湖南省资源环境承载力预警评价与警情趋势分析", 《经济地理》, vol. 40, no. 1 * |
| 王鸿翔 等: "河北省南水北调受水区水资源可持续利用评价", 《人民黄河》, vol. 32, no. 12 * |
| 秦奋 等: "基于模糊分析法的水资源承载力综合评价", 《水资源与 水工程学报》, vol. 17, no. 1 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686449A (en) * | 2020-12-31 | 2021-04-20 | 国网河南省电力公司经济技术研究院 | Residential electricity consumption prediction method based on human body weather comfort index |
| CN116777122A (en) * | 2023-08-21 | 2023-09-19 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
| CN116777122B (en) * | 2023-08-21 | 2023-11-03 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Evaluation of the comprehensive carrying capacity of interprovincial water resources in China and the spatial effect | |
| CN106651211B (en) | Flood disaster risk assessment method for different scale areas | |
| Wu et al. | Diagnosis of wetland ecosystem health in the Zoige Wetland, Sichuan of China | |
| Li et al. | Spatio-temporal difference and influencing factors of environmental adaptability measurement of human-sea economic system in Liaoning coastal area | |
| CN105095997B (en) | Sudden Water Pollution Accident Early-warning method based on Monte Carlo and analytic hierarchy process (AHP) | |
| Ma et al. | Exploring the relationship between urbanization and water environment based on coupling analysis in Nanjing, East China | |
| CN111553591A (en) | Plain river network water resource early warning regulation and control method, early warning regulation and control system and electronic equipment | |
| CN111462450B (en) | Mountain torrent early warning method considering rainfall spatial heterogeneity | |
| Gu et al. | Achieving the objective of ecological planning for arid inland river basin under uncertainty based on ecological risk assessment | |
| CN108875290A (en) | Resosurces environment loading capacity method for early warning | |
| Lin et al. | Comparative analysis of environmental carrying capacity of the Bohai Sea Rim area in China | |
| CN110020469B (en) | Poisson regression and spatial filtering value-based flood early warning analysis method and system | |
| CN116911699A (en) | Method and system for fine dynamic evaluation of toughness of urban flood disaster response | |
| Liu et al. | Spatiotemporal assessment of water security in China: An integrated supply-demand coupling model | |
| CN115859577A (en) | Water bloom early warning method, device, medium and equipment based on weather forecast | |
| CN116596303A (en) | Drought risk assessment and zoning method, system, medium, equipment and terminal | |
| Zuo et al. | A new method for water quality assessment: By harmony degree equation | |
| Ji et al. | Predictive analysis of water resource carrying capacity based on system dynamics and improved fuzzy comprehensive evaluation method in Henan Province | |
| Zhou et al. | Ecological security assessment of Qinzhou coastal zone based on Driving forces-Pressure-State-Impact-Response (DPSIR) model | |
| Zhao et al. | Regional water security evaluation with risk control model and its application in Jiangsu Province, China | |
| Xu et al. | Multi-scale evaluation of river health in Liao River Basin, China | |
| Yang et al. | Fuzzy risk analysis of dam overtopping from snowmelt floods in the nonstationarity case of the Manas River catchment, China | |
| CN110659812A (en) | Water environment cumulative risk assessment method | |
| Chen et al. | Development and application of a multi-centre cloud platform architecture for water environment management | |
| Li | Evaluation on Urban Land Ecological Security Based on the PSR Model and Matter-Element Analysis: A Case Study of Zhuhai, Guangdong, 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 |