Study On Synthetic Appraise Of Groundwater Quality And Pollution Warning-Forecast In Jiaozuo

The population, the resources, the environment are three big difficult problems which theworld faces now. Humanity's survival and the development fundamentally rely on the watergain and the water control. In the world, there are 1,500,000,000 to 2,000,000,000 populationsdepend on the ground water to make their life. Although the ground water resourcesconservation has received various aspects various levels widespread attention from thecountries' government, the United Nations, the international organization, the official, theexperts, as well as the public. Every year, the world probably has 250,000,000 people to suffernewly from disease which disseminates by water, in which about 10,000,000 people died. InChina, 2/3 city ground water is polluted generally, more than 300 cities the water supply to betense cause by the ground water polluted, millions people drink the ground water which doesnot conform to the potable water standard, severely impair their health.Jiaozuo is located northeast Henan Province, the total area 4071 square kilometers, thetotal population 3,455,000, is a mining industry city which develops by the coal foundation. Itis facing the water resources crisis which causes by the water resources short and waterquality crisis which causes by the underground water pollution.Taking the Jiaozuo ground water as the research object, through open country pollutionsource investigating and hydrology geological investigating, taking the data of 211 groundwater monitor wells as the foundation, this paper comprehensively appraised the Jiaozuoground water quality using the F Value Method, the Nemerow Index Method, the FuzzyComprehensive Method, the Gray Cluster Method and the LVQ Neural Network Method. Onthe basis of the demand analysis, the system analysis and the system design, a ground waterpollution warning-forecast system based on GIS in Jiaozuo is developed. It provided thereliable technical support and the management platform for the Jiaozuo ground waterresources plan, the reasonable development and pollution government.The main results and conclusions1. Closing investigated the source of ground water pollution in Jiaozuo; 2. Investigated thoroughly 15 factors: spatial distribution rule which exceeding theallowed of the ground water in Jiaozuo;3. Has carded on the reasonable refinement to the present ground water quality standard,and has given the normal value;4. In view of the double sequences which the pH value performance in the ground waterquality appraisal, this paper gave a method by which the pH value can be changed to thesingle sequence;5. Has appraised on the quality synthetic of the Jiaozuo ground water with 5 methods,thought as a whole that the Jiaozuo karst water quality is good, the pore water pollution ispolluted seriously, and has given the concrete appraisal: result, has drawn up the Jiaozuo porewater quality rank district chart;6. Through analysis on the result of the F Value method, the Nemerow Index method, thefuzzy synthesis method, the gray cluster method and the LVQ nerve network method used inthe Jiaozuo ground water quality synthetic appraise and analysis on the model theory, thepaper got a conclusion, in the ground water quality synthetic appraise in Jiaozuo, the LVQneural network method should be the first choice, next be the gray cluster method and thefuzzy synthesis method;7. Through coupling the ground water quality synthetic appraise model and the pollutionforecast: model to the GIS technology, developed the ground water pollution warning-forecastsystem based on GIS in Jiaozuo, realized the abstract data visualization, the analysis appraisalvisualization, the ground water quality development appraise visualization and thevisualization pollution warning-forecast. Using this system, investigated thoroughly the spatildistributed rule of the main pollution factors and the ground water pollution condition inJiaozuo, and has drawn up the relation maps;The innovations1. Proposed the double sequence problem that the pH value performance in ground waterquality appraising, aims at this problem make the difficulty which bring the pH value as theappraisal factor in the actual ground water quality synthetic appraise, and causes the most valuers to dodge taking the pH value as the appraisal factor, according to the mentality whichwill map the negative sequence of the pH value to the positive sequence in the correspondingrank, the paper proposed the pH value list serializing method;2. Introduced the Learning Vector Quantization Artificial Neural Network (LVQ-ANN)to the ground water quality synthetic appraising, and used it in Jiaozuo ground water qualitysynthetic appraise, after contrasting the appraise result to the other method, pointed out thatthe LVQ-ANN compared to BP network, it performance stronger fault tolerance, the morestability, also easier to realize, and it is the first choice method in the ground water qualitysynthetic appraise in Jiaozuo;3. In view of the stipulation that the thick standard limiting value in the ground waterquality standard, and the stipulation that the different category normal value same liberallynot from poor, and these Stipulations making theâ…¡water flaw rate 42%, theâ…¢water flawrate 26.3%, theâ…£water flaw rate 15.8%, the paper refined the ground water classification.In view of it is the standard limiting value rather than the normal value in the ground waterquality classification standard, and the stipulation causing inconvenient and chaotic inapplication, this paper putout the ground water quality classification normal value.