CN109784752A - An early warning system and analysis method for water body eutrophication risk assessment in the Three Gorges Reservoir area - Google Patents
An early warning system and analysis method for water body eutrophication risk assessment in the Three Gorges Reservoir area Download PDFInfo
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Abstract
本发明涉及一种三峡库区水体富营养化风险评估预警系统及其分析方法，属于水资源预警技术领域。该系统包括数据采集子系统、预处理子系统、数据分析子系统、富营养化评估子系统、风险预警子系统和辅助子系统。数据采集子系统采集多种类型的指标参数，并将采集的数据存入到数据库中；预处理子系统将采集的数据归类整理及筛选，并进行数据归一化、去量纲处理，为后续的数据分析提供基础。本发明评估预警客观准确，能及时高效的实现库区水体富营养化趋势分析和风险预警处置，可提高库区水环境监管效率，为库区水环境安全和富营养化防治提供技术支撑；也可应用于其他类似河湖水库的富营养化风险研究。
The invention relates to a water body eutrophication risk assessment and early warning system in the Three Gorges Reservoir area and an analysis method thereof, belonging to the technical field of water resources early warning. The system includes data acquisition subsystem, preprocessing subsystem, data analysis subsystem, eutrophication assessment subsystem, risk warning subsystem and auxiliary subsystem. The data acquisition subsystem collects various types of index parameters, and stores the collected data in the database; the preprocessing subsystem classifies and filters the collected data, and performs data normalization and de-dimension processing. Subsequent data analysis provides the basis. The evaluation and early warning of the invention is objective and accurate, can timely and efficiently realize the trend analysis of water body eutrophication in the reservoir area and the early warning and disposal of risks, can improve the water environment supervision efficiency in the reservoir area, and provide technical support for the water environment safety and eutrophication prevention and control in the reservoir area; It can be applied to eutrophication risk studies of other similar rivers, lakes and reservoirs.
Description
Technical field
The invention belongs to water resource early warning technology fields, are related to a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning
System and its analysis method.
Background technique
Water eutrophication assessment prediction method is varied at present, and mainly include two major classes: one kind is with mathematical statistics
Statistical model based on analysis, such as regression analysis, gray decision, artificial neural network method, step analysis and Fuzzy Evaluation Method
Deng.The monitoring data amount that this class model needs is big, is calculated analytically to obtain between some monitoring index and other influence factors
Correlation；But due to the multi-level complex system that water quality system is made of multiple pollution variables, there are different journeys between each index
The correlation of degree, single index cause the above method to exist in actual use centainly only from water quality situation is reflected in a certain respect
Defect.Such as Field Using Fuzzy Comprehensive Assessment can not determine the weight of complicated index system, the selection of weight factor is not objective enough；
Artificial neural network method needs a large amount of sample training to improve precision of prediction, while easily falling into local optimum；Gray decision
Method easily makes decision value homogenizing cause scheme preferably difficult；The subjective judgement of analytic hierarchy process (AHP) is stronger, may cause prediction result
Inaccuracy.Another kind of is the mechanism model using ecodynamics as theoretical basis, such as WASP, QUAL II, MIKE, SALMO mould
Type, but usually structure is complicated, parameter is numerous for mechanism model.Since eutrophication generation mechanism is complex, water body hydrodynamic force item
The multifarious Eutrophication Model difference based on different angle of part, local climate, water quality parameter is larger, process of mathematical modeling
Cumbersome, parameter, which is difficult to estimate, numerical value calculates that time-consuming etc. limits the operation strategies of model, the sophistication of prediction model and pre-
The accuracy for surveying result is also not fully up to expectations.
With the increasingly diversification of water quality monitoring means, there is information redundancy and complementation, monitorings between magnanimity monitoring data
Data have many characteristics, such as multi-source, ambiguity, uncertainty, how using suitable analysis method to monitoring information into
Row is timely handled comprehensively, is improved Water environments simulation assessment pre-alerting ability and is had become the technical problem for being badly in need of cracking.In consideration of it,
The eutrophication and wawter bloom problem to become increasingly conspicuous for reservoir area of Three Gorges water body is developed the new water eutrophication risk of one kind and is commented
Estimating early warning system and its analysis method seems especially urgent.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning systems
And its analysis method, fusion multi-intelligence algorithm improve the precision of assessment prediction model, realize water quality condition real-time display and richness
The purpose of the remote supervisory of nutrient laden evolving trend, and then improve intelligence and the Automated water of reservoir area Water quality monitoring and management
It is flat.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system, including data acquisition subsystem, pretreatment
System, data analytics subsystem, eutrophication evaluation subsystem, Risk-warning subsystem and assistant subsystem；
The data acquisition subsystem acquires a plurality of types of index parameters, and the data of acquisition are deposited into database
In；
The data classified finishing of acquisition and screening are carried out data normalization, gone at dimension by the preprocessing subsystem
Reason provides basis for the analysis of subsequent data；
The data analytics subsystem uses multi-intelligence algorithm fusion treatment data information, carries out water quality parameter analysis meter
It calculates；
The eutrophication evaluation subsystem carries out the qualitative, quantitative processing of water eutrophication, provides branch for Risk-warning
Support；
The risk zones and grade of the Risk-warning subsystem analysis water eutrophication, carry out the dangerous situation of eutrophication
Publication and the disposition of emergency response decision；
The assistant subsystem realizes system parameter setting, the control management of each subsystem, the output of processing result inquiry
It has been shown that, communication and remote monitoring function.
Further, the data acquisition subsystem include hydrographic information module, water quality information module, weather information module and
Geography information module realizes the reservoir area hydrology, water quality, the real-time automatic collecting of meteorology and geodata；
The data acquisition subsystem is made of several sensor detection device, including multi-parameter water quality detector, leaf
Green element a sensor, acoustic Doppler water flow section plotter, portable PH instrument and portable DO instrument；
The hydrographic information includes water temperature, water level, flow velocity and flow；
The water quality information includes TP, TN, DO, CODMN, Chla, transparency, solid suspension, pH value and ammonia nitrogen；
The weather information includes temperature, wind speed, wind direction, illuminance and precipitation；
The geography information includes the location information and latitude and longitude coordinates of monitoring point；
The data of acquisition are transferred in SQL database or cloud database by the data acquisition subsystem, convenient for auxiliary
Subsystem carries out data query, comparison and teleengineering support.
Further, the preprocessing subsystem includes data screening module and data preprocessing module；
The data of acquisition are sorted out, arranged and are screened by data screening module, and data preprocessing module is to filtering out
Data normalize, dimension are gone to handle, and are eliminating outside the dimension impact between different types of data, keep different in initial data
Otherness between index provides basis for the difficulty for reducing data analysis and the efficiency for improving analysis；
The preprocess method of the data preprocessing module includes that hydrometer method, deviation method, logarithmic transformation method and square root become
Change method.
Further, the data analytics subsystem includes multi-intelligence algorithm module and Multi-source Information Fusion module；
Multi-intelligence algorithm module is fuzzy refreshing using principal component analysis fusion multivariate regression algorithm, Genetic Algorithm Fusion is improved
Through network, Rough Set Reduction algorithm and support vector machines multi-intelligence algorithm fusion treatment data information is improved, carries out water quality ginseng
Number analytical calculation, and calculated result is showed in graphical form；
The redundancy and contradiction between monitoring information are eliminated by Multi-source Information Fusion, it is more complete accurate to obtain aquatic monitoring
Judge information, to reduce the fog-level of assessment early warning reasoning, and improves the resolution ratio and space-time monitoring of assessment warning information
Range.
Further, the eutrophication evaluation subsystem includes evaluation criteria module and eutrophication qualitative, quantitative assessment mould
Block；
Evaluation criteria module provides foundation and standard, including comprehensive Trophic Level Index standard, leaf for eutrophication assessment
Green element a concentration standard and nutrition degree point system；
Eutrophication qualitative, quantitative evaluation module carries out the analysis and assessment of eutrophication to monitoring water body, obtains water-outlet body richness battalion
Feedingization is horizontal, forms the eutrophic state variation diagram intuitively shown, provides basis for subsequent Risk-warning.
Further, the Risk-warning subsystem includes Early-warning Model, risk class module, dangerous situation release module and emergency
Decision-making module；
The Early-warning Model is suitble to using the method building of fuzzy neural network, Bayesian decision and unsupervised learning mode
The Early-warning Model of reservoir area water body feature, and Eutrophication Status is simulated and predicted, by changing to eutrophication
The analysis of factor and process carries out Risk-warning to its future development situation；
4 grades of early warning sections are arranged in risk class module: no eutrophication danger, lightly eutrophicated dangerous, moderate richness battalion
Feedingization is dangerous, serious rice-nutrient is dangerous, shows mark with blue, yellow, orange, the red grade that carries out respectively；Meanwhile it is right
Predict that obtained risk zones carry out classification with risk class and put on record；Dangerous situation release module is to different outrophication risks
The corresponding risk distribution range areas of grade, the possible extent of injury by the communication module of assistant subsystem it is timely on descend
It reaches, so that policymaker is grasped Trend of Eutrophication, to formulate the emergency plan of next step；
Emergency decision module takes corresponding emergency response measure according to Risk-warning grade, carries out place promptly and accurately
It sets, the degree of eutrophication harm and range is reduced to minimum.
Further, the assistant subsystem includes system setup module, result display module, communication module and long-range monitoring
Module；
The system setup module realizes system parameter setting, System right management and query service function；
Result display module by eutrophication dynamic changing process and risk assessment early warning result with curve graph, bar chart,
The form of data sheet and audio frequency and video is shown that the display terminal mainly has broadcast, TV, net in display terminal
Network media, LED display, mobile phone and computer；
Communication module includes Beidou or GPS positioning unit and GPRS or wireless communication unit, realizes water quality monitoring point
It sets and the information communication of detection data, convenient for the inquiry of line Information, downloading and shared；
The water quality detection information of monitoring point is transmitted to higher level's supervision center to remote monitoring module and each monitoring point carries out
The digitlization and networking of water quality monitoring are realized in networking, improve level monitoring.
A kind of reservoir area of Three Gorges water eutrophication risk assessment early warning analysis method, method includes the following steps:
S1: according to system parameter setting, carrying out the sampling of reservoir area aquatic monitoring index parameter, obtains different types of data letter
Breath, while sample information is stored in database；
S2: carrying out classified finishing and screening to the data in database, obtain the data type for needing to be analyzed and processed,
Then data prediction is carried out using hydrometer method and deviation method preprocess method, eliminates the influence of dimension between different types of data,
And keep differentiation information between data；
S3: multi-intelligence algorithm fusion treatment data information is used, and by between multisource information fusion technology elimination information
Redundancy and improve assessment warning information resolution ratio；
S4: according to eutrophication evaluation criteria, water eutrophication real-time status is obtained by the data of analysis processing and is moved
State evolving trend provides basis for Risk-warning；
S5: carrying out eutrophication simulation and prediction according to Early-warning Model, analyze risk class, and corresponding emergency is taken to ring
Decision is answered to reduce the region of eutrophication harm and degree, is provided safeguard for water environment and water security supervision.
The beneficial effects of the present invention are:
(1) defect that single model method is made up by fusion multi-intelligence algorithm, effectively improves outrophication risk
The objectivity of assessment and the accuracy of prediction and warning information, intelligence degree is high, and prediction effect is good, adaptable；
(2) system is able to achieve the quick search and comparison of water quality testing data real-time display, current data and historical data
The functions such as analysis, it is simple and clear to issue water eutrophication status information in time in the form of text, chart and audio-video etc.；
(3) detection data can carry out remote transmission and management by network communication, realize digitlization and the net of environmental monitoring
Network improves supervisory efficiency.
(4) system operatio is easy, and stable and reliable operation effectively reduces and fails to report rate of false alarm, is rapid development water eutrophication
Change control measure and science guarantee is provided；
(5) monitoring station group net operation is realized using wireless network, is monitored convenient for large area more water bodys in reservoir drainage area are unified
It is horizontal to promote water environment management for management；
(6) present invention is also applied for other classes other than being suitable for the risk assessment early warning of reservoir area of Three Gorges water eutrophication
Like lake and reservoir, the water quality monitoring in river, decision-making foundation is provided for water environment management and water prevention and cure of pollution, before wide application
Scape.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1 is that a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system and its overall of analysis method constitute original
Manage block diagram；
Fig. 2 shows for the workflow of a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system and its analysis method
It is intended to.
Specific embodiment
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
As depicted in figs. 1 and 2, a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system of the present embodiment and its
Analysis method mainly includes data acquisition subsystem 1, preprocessing subsystem 2, data analytics subsystem 3, eutrophication assessment
Subsystem 4, Risk-warning subsystem 5, assistant subsystem 6 etc..
The data acquisition subsystem 1 acquires a plurality of types of index parameters, and the data of acquisition are deposited into database
In；The data classified finishing of acquisition and screening are carried out data normalization, dimension are gone to handle by the preprocessing subsystem 2,
Basis is provided for the analysis of subsequent data；The data analytics subsystem 3 is believed using multi-intelligence algorithm fusion treatment data
Breath carries out water quality parameter analytical calculation；The eutrophication evaluation subsystem 4 carries out at the qualitative, quantitative of water eutrophication
Reason, provides support for Risk-warning；The risk zones of the 5 analyzing water body eutrophication of Risk-warning subsystem and grade, into
The dangerous situation of row eutrophication is issued and the disposition of emergency response decision；The assistant subsystem 6 realizes system parameter setting, each son
The functions such as the control management of system, the output query display of processing result, communication and long-range monitoring.
As the improvement of the present embodiment, the data acquisition subsystem 1 is made of multiple sensors detection device, including water
Literary information module 101, water quality information module 102, weather information module 103, geography information module 104 etc. realize reservoir area water
The real-time automatic collecting of the data such as text, water quality, meteorology, geography.Preferably, the multi-parameter water quality detector is Y4000-A type
All-in-One sensor can measure the parameters such as turbidity, solid suspension, conductivity, temperature, depth；Chlorophyll a sensor is P11
The online chlorophyll a sensor of type, using fluorescence method real-time measurement water body Determination of Chlorophyll a concentration；Acoustic Doppler water flow section plotter
For YSI-A302014 type measurement instrument, the flow velocity and flow of water body are measured；HOBO water-temperature water-level measuring instrument measure water body water level and
Water temperature；Portable pH meter and portable DO instrument measure pH value and DO value of water body etc. respectively；The hydrographic information includes water
Temperature, water level, flow velocity, flow etc.；The water quality information includes TP, TN, DO, CODMN, Chla, transparency, solid suspension,
PH value, ammonia nitrogen etc.；The weather information includes temperature, wind speed, wind direction, illuminance, precipitation etc.；The geography information packet
Include location information, the latitude and longitude coordinates of monitoring point.The data of acquisition are transferred to SQL2008 number by the data acquisition subsystem 1
According in library or cloud database, data query is carried out, to when teleengineering support etc. convenient for assistant subsystem 6.The water quality number
It is 1-3min/ times according to frequency acquisition, hydrometeorological data acquiring frequency is 5-10min/ times, in the high wind of the eutrophication of the 5-8 month
Dangerous period encryption sampling.
As the improvement of the present embodiment, the preprocessing subsystem 2 includes data screening module 201 and data prediction mould
Block 202.The data of acquisition are sorted out, arranged and are screened by data screening module 201, and pre- 202 processing module of data is to screening
Data out normalize, dimension are gone to handle, and are eliminating outside the dimension impact between different types of data, moreover it is possible to keep original number
According to the otherness between middle different indexs, basis is provided for the difficulty for reducing data analysis and the efficiency for improving analysis.The number
Data preprocess method mainly includes hydrometer method, deviation method, logarithmic transformation method and square root converter technique etc., it is preferred that uses specific gravity
Method and logarithmic transformation method carry out data prediction.
As the improvement of the present embodiment, the data analytics subsystem 3 includes that multi-intelligence algorithm module 301 and multi-source are believed
Cease Fusion Module 302.Multi-intelligence algorithm module 301 merges multivariate regression algorithm, genetic algorithm using principal component analysis is improved
It merges fuzzy neural network, Rough Set Reduction algorithm and improves the multi-intelligence algorithms fusion treatment data such as support vector machines letter
Breath carries out water quality parameter analytical calculation, and calculated result is showed to scheme, in the form of table etc..Pass through Multi-source Information Fusion mould
Block 302 eliminates the redundancy and contradiction between monitoring information, more completely accurately information is judged to obtain aquatic monitoring, to reduce
It assesses the fog-level of early warning reasoning and improves the resolution ratio and space-time monitoring range of assessment warning information.
As the improvement of the present embodiment, the eutrophication evaluation subsystem 4 includes evaluation criteria module 401 and eutrophy
Change qualitative, quantitative evaluation module 402.Evaluation criteria module 401 provides foundation and standard for eutrophication assessment, mainly there is synthesis
Eutrophication status index standard, chlorophyll-a concentration standard, nutrition degree point system etc., it is preferred that use TN, TP, chla, CODMNFor
Major Nutrient evaluation index；402 pairs of eutrophication qualitative, quantitative evaluation module monitoring water bodys carry out the assessment point of eutrophication
Analysis obtains water eutrophication level, forms the eutrophic state variation diagram intuitively shown, provide for subsequent Risk-warning
Basis.
As the improvement of the present embodiment, the Risk-warning subsystem 5 includes Early-warning Model 501, risk class module
502, dangerous situation release module 503 and Emergency decision module 504.The Early-warning Model 501 uses fuzzy neural network, Bayes
The methods of decision, wavelet neural network, unsupervised learning mode construct the Early-warning Model for being suitble to reservoir area water body feature, and to water
Body Eutrophication Status is simulated and is predicted, using the short-term and medium-term and long-term eutrophication forecast assessment of different model realizations.
By the analysis to eutrophication changing factor and process, Risk-warning is carried out to its future development situation.Risk class module
502 4 grades of early warning sections of setting: no eutrophication danger, lightly eutrophicated dangerous, the danger of moderate eutrophication, severe richness battalion
Feedingization is dangerous, shows mark with blue, yellow, orange, the red grade that carries out respectively；Meanwhile to the risk zones that prediction obtains
Classification is carried out with risk class to put on record.The corresponding risk point of 503 pairs of difference outrophication risk grades of dangerous situation release module
Cloth range areas, the possible extent of injury are uploaded in time by the communication module 603 of assistant subsystem 6 and are assigned, and policymaker is slapped
Trend of Eutrophication is held, to formulate the emergency plan of next step.Emergency decision module 504 is according to Risk-warning grade
Corresponding emergency response measure is taken, disposition promptly and accurately is carried out, the degree of eutrophication harm and range are reduced to most
It is low.
As the improvement of the present embodiment, the assistant subsystem 6 includes system setup module 601, result display module
602, communication module 603, remote monitoring module 604.The system setup module 601 realizes system parameter setting, system permission
The functions such as management, query service management.Result display module 602 is by eutrophication dynamic changing process and risk assessment early warning
As a result it is shown in the form of curve graph, bar chart, data sheet, audio frequency and video etc. in display terminal, the display terminal
Mainly there are broadcast, TV, the network media, LED display, mobile phone, computer etc..Communication module 603 includes Beidou or GPS positioning
Unit and GPRS or wireless communication unit realize the information communication of Water-quality Monitoring Points position and detection data, are convenient for network
The inquiry, downloading of information, shared etc. under environment.The water quality condition information of monitoring point is transported to higher level's prison by remote monitoring module 604
Tube hub and each monitoring point carry out digitlization and networking that water quality monitoring is realized in networking, improve level monitoring.
The present invention also provides a kind of analysis methods for reservoir area of Three Gorges water eutrophication risk assessment early warning, including
Following steps:
1) according to system parameter setting 601, the sampling of reservoir area aquatic monitoring index parameter is carried out, different types of data are obtained
Information, while sample information is stored in database；
2) classified finishing and screening are carried out to the data in database, obtain the data type for needing to be analyzed and processed,
Then data prediction 202 is carried out using preprocess methods such as hydrometer method, deviation methods, dimension between elimination different types of data
It influences, and keeps the differentiation information between data；
3) 301 fusion treatment data information of multi-intelligence algorithm is used, and letter is eliminated by 302 technology of Multi-source Information Fusion
The resolution ratio of redundancy and raising assessment warning information between breath；
4) according to eutrophication evaluation criteria 401, water eutrophication state and dynamic are obtained by the data of analysis processing
Change procedure provides basis for Risk-warning；
5) eutrophication simulation and prediction are carried out according to Early-warning Model 501, analyzes risk class, and take corresponding emergency
Response Decision 504 is provided safeguard with reducing the region and degree that eutrophication endangers for water environment and water security supervision.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (8)
1. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system, it is characterised in that: including data acquisition subsystem,
Preprocessing subsystem, data analytics subsystem, eutrophication evaluation subsystem, Risk-warning subsystem and assistant subsystem；
The data acquisition subsystem acquires a plurality of types of index parameters, and the data of acquisition are deposited into database；
The data classified finishing of acquisition and screening are carried out data normalization, dimension are gone to handle by the preprocessing subsystem, are
Subsequent data analysis provides basis；
The data analytics subsystem uses multi-intelligence algorithm fusion treatment data information, carries out water quality parameter analytical calculation；
The eutrophication evaluation subsystem carries out the qualitative, quantitative processing of water eutrophication, provides support for Risk-warning；
The risk zones and grade of the Risk-warning subsystem analysis water eutrophication carry out the dangerous situation publication of eutrophication
And emergency response decision disposition；
The assistant subsystem realize system parameter setting, the control management of each subsystem, processing result output query display,
Communication and remote monitoring function.
2. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The data acquisition subsystem includes hydrographic information module, water quality information module, weather information module and geography information module, reality
Existing the reservoir area hydrology, water quality, the real-time automatic collecting of meteorology and geodata；
The data acquisition subsystem is made of several sensor detection device, including multi-parameter water quality detector, chlorophyll a
Sensor, acoustic Doppler water flow section plotter, portable PH instrument and portable DO instrument；
The hydrographic information includes water temperature, water level, flow velocity and flow；
The water quality information includes TP, TN, DO, CODMN, Chla, transparency, solid suspension, pH value and ammonia nitrogen；
The weather information includes temperature, wind speed, wind direction, illuminance and precipitation；
The geography information includes the location information and latitude and longitude coordinates of monitoring point；
The data of acquisition are transferred in SQL database or cloud database by the data acquisition subsystem, convenient for auxiliary subsystem
System carries out data query, comparison and teleengineering support.
3. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The preprocessing subsystem includes data screening module and data preprocessing module；
The data of acquisition are sorted out, arranged and are screened by data screening module, and data preprocessing module is to the data filtered out
It normalizes, dimension is gone to handle, eliminating outside the dimension impact between different types of data, keep in initial data between different indexs
Otherness, for reduce data analysis difficulty and improve analysis efficiency basis is provided；
The preprocess method of the data preprocessing module includes hydrometer method, deviation method, logarithmic transformation method and square root converter technique.
4. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The data analytics subsystem includes multi-intelligence algorithm module and Multi-source Information Fusion module；
Multi-intelligence algorithm module merges multivariate regression algorithm, Genetic Algorithm Fusion fuzznet using principal component analysis is improved
Network, Rough Set Reduction algorithm and improvement support vector machines multi-intelligence algorithm fusion treatment data information, carry out water quality parameter point
Analysis calculates, and calculated result is showed in graphical form；
The redundancy and contradiction between monitoring information are eliminated by Multi-source Information Fusion, to obtain the more complete accurate judgement of aquatic monitoring
Information to reduce the fog-level of assessment early warning reasoning, and improves the resolution ratio and space-time monitoring range of assessment warning information.
5. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The eutrophication evaluation subsystem includes evaluation criteria module and eutrophication qualitative, quantitative evaluation module；
Evaluation criteria module provides foundation and standard, including comprehensive Trophic Level Index standard, chlorophyll a for eutrophication assessment
Concentration standard and nutrition degree point system；
Eutrophication qualitative, quantitative evaluation module carries out the analysis and assessment of eutrophication to monitoring water body, obtains water eutrophication
Level forms the eutrophic state variation diagram intuitively shown, provides basis for subsequent Risk-warning.
6. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The Risk-warning subsystem includes Early-warning Model, risk class module, dangerous situation release module and Emergency decision module；
The Early-warning Model is constructed using the method for fuzzy neural network, Bayesian decision and unsupervised learning mode is suitble to reservoir area
The Early-warning Model of water body feature, and Eutrophication Status is simulated and predicted, by eutrophication changing factor
And the analysis of process, Risk-warning is carried out to its future development situation；
4 grades of early warning sections are arranged in risk class module: dangerous, lightly eutrophicated dangerous, the moderate eutrophication without eutrophication
Dangerous, serious rice-nutrient danger shows mark with blue, yellow, orange, the red grade that carries out respectively；Meanwhile to measuring in advance
To risk zones and risk class carry out classification and put on record；Dangerous situation release module is corresponding to different outrophication risk grades
Risk distribution range areas, the possible extent of injury uploaded and assigned in time by the communication module of assistant subsystem, make decision
Person grasps Trend of Eutrophication, to formulate the emergency plan of next step；
Emergency decision module takes corresponding emergency response measure according to Risk-warning grade, carries out disposition promptly and accurately, will
The degree and range of eutrophication harm are reduced to minimum.
7. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning system according to claim 1, it is characterised in that:
The assistant subsystem includes system setup module, result display module, communication module and remote monitoring module；
The system setup module realizes system parameter setting, System right management and query service function；
Result display module is by eutrophication dynamic changing process and risk assessment early warning result with curve graph, bar chart, data
The form of report and audio frequency and video is shown that the display terminal mainly has broadcast, TV, network matchmaker in display terminal
Body, LED display, mobile phone and computer；
Communication module includes Beidou or GPS positioning unit and GPRS or wireless communication unit, realize Water-quality Monitoring Points position and
The information communication of detection data convenient for the inquiry of line Information, downloading and is shared；
The water quality detection information of monitoring point is transmitted to higher level's supervision center to remote monitoring module and each monitoring point carries out networking
It realizes the digitlization and networking of water quality monitoring, improves level monitoring.
8. a kind of reservoir area of Three Gorges water eutrophication risk assessment early warning analysis method, it is characterised in that: this method includes following
Step:
S1: according to system parameter setting, carrying out the sampling of reservoir area aquatic monitoring index parameter, obtain different types of data information,
Sample information is stored in database simultaneously；
S2: classified finishing and screening are carried out to the data in database, obtain the data type for needing to be analyzed and processed, then
Data prediction is carried out using hydrometer method and deviation method preprocess method, eliminates the influence of dimension between different types of data, and is protected
Hold the differentiation information between data；
S3: multi-intelligence algorithm fusion treatment data information is used, and by superfluous between multisource information fusion technology elimination information
Resolution ratio that is remaining and improving assessment warning information；
S4: according to eutrophication evaluation criteria, show that water eutrophication real-time status and dynamic are drilled by the data of analysis processing
Change trend provides basis for Risk-warning；
S5: eutrophication simulation and prediction are carried out according to Early-warning Model, analyzes risk class, and corresponding emergency response is taken to determine
Plan is provided safeguard with reducing the region and degree that eutrophication endangers for water environment and water security supervision.
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