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Fuzzy Neural Network And Its Applications In Water And Soil Resources

Posted on:2009-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Y YangFull Text:PDF
GTID:2120360245972657Subject:Agricultural Soil and Water Engineering
Abstract/Summary:PDF Full Text Request
Time series of water and soil resources is always effected by the astronomy, the geography and the artificial activity,so there are characteristics such as high dimensional ,nonlinear and measured data with incomplete information and so on,but there is periodicity and trendy simultaneously of multi-annual variation. It is very difficult to solve these problems by the conventional linear model, therefore, to solve the complex problems in the water and soil resources, several kinds of fuzzy neural network model (FNN)is established in this paper and carried on the programming through the MATLAB7.0 software, established the mathematical model, and used in the practice, the results are good.The following results of three aspects are made in this paper:1.Fuzzy BP network model is established which is used in the multi-annual rainfall forecast of Bielahong River and cultivated soil appraisal of Yongfu town Fujin city in Sanjiang Plain.(1) The local water resources development and use is effected by the rainfall of Sanjiang Plain, and the drought and flood and other natural disaster's occurrence, the development and the intensity is also closely related to the rainfall of Sanjiang Plain.So, accurate rainfall forecasts is the scientific basis of water resources development of Sanjiang Plain,and the effective instruction is provided for the disaster prevention, resist natural calamities and the disaster relief.(2) The grain production increase is effected by soil quality change. The soil quality is growing worse, after Sanjiang Plain was opened up with big area, therefore the deterioration soil quality of Sanjiang Plain must be taken seriously by the related government.2. Establishment the model of Adaptive Neuro-Fuzzy Inference System(ANFIS) of prediction groundwater in the Chuang Ye farm in San Jiang plain.The reason the level of groundwater in San Jiang plain is that well irrigation rice is the leading industry in this area, simply the pursuit of food production, blind and disorder in development and utilization of the groundwater. If the current mode of development will continue, the area of well irrigation rice will increase year by year, the exploitation of groundwater resources will continue to increase, thus the dynamic balance of groundwater supply and demand is bound to be further damaged, for the lateral leakage of rainfall and rivers around there was no time to recharge the groundwater, and cause the decline in the level of groundwater. Therefore, remind the relevant department to take effective measures, such as distribute wells in a rational way, make full use of surface water resources, and introduce the new water-saving irrigation measures and so on, to control the exploitation of groundwater resources, at the same time the plant area of well-irrigation rice should also be appropriately reduced, and returning farmland to forest, so the dynamic balance of groundwater can gradually restore, finally achieve sustainable use of water resources.3. Based on the Adaptive Neuro-Fuzzy Inference System, the agricultural utilization of water resources evaluation model in Sanjiang Plain Fujin city was established.The conflict between supply and demand of water resources in agriculture is growing in Sanjiang Plain. From agricultural water supply and demand situation in Sanjiang Plain Fujin city in 2000 to see, the use of water resources is irrational, so the relevant administrative departments should vigorously adopt water-saving measures to strengthen the management of water resources, to use water science and planned, according to the local conditions to strengthen legislation, speeding up the development of effective water law. From future development, because of the progressive decline of the Songhua River water, the Sanjiang Plain Irrigation District water crisis is great. We must pay close attention to water-saving and water resources management, in particular the restructuring of the distribution of crops to ensure that the limited rational allocation and use of water resources to meet the purpose of sustainable use of water resources. Based on the above several model, in the paper, the theory and practice are organically combined. At the same time, this will be the model for the multiple complex, nonlinear study on soil and water resources and obtain satisfactory results, in order to solve some practical problems currently provide new technologies for soil and water resources system provides a new idea.
Keywords/Search Tags:water and soil resources, Fuzzy Neural Network, Adaptive Neuro-Fuzzy Inference System, Subtractive clustering, Prediction, Evaluation
PDF Full Text Request
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