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Groundwater Quality Assessment of Baicheng City
Author(s): 
Pages: 38-40
Year: Issue:  11
Journal: Yellow River

Keyword:  groundwater quality assessmentAttached Note Scoring MethodBP Neural NetworkT-S Fuzzy Neural NetworkBaicheng City;
Abstract: According to the measured data of nine locations in Baicheng City of Jilin Province,this paper assessed the groundwater quality of cur-rent situation. The selected assessment indexes were ammonia nitrogen,ferrum,fluoride,lead,arsenic,potassium permanganate,total dissoloved solid and hardness,respectively. The adopted assessment methods were Attached Note Scoring Method and Artificial Neural Network,the later in-cluding BP Neural Network and T-S Fuzzy Neural Network. The assessment results show that the groundwater quality of nine locations is good and between gradeⅠand gradeⅢby using two kinds of Artificial Neural Network. By using Attached Note Scoring Method,only the groundwater quali-ty of Mujiadian village is gradeⅡ,and the other locations are gradeⅣ. Comparing the assessment results of three methods,the difference between BP Neural Network and T-S Fuzzy Neural Network is smaller,while the difference of Attached Note Scoring Method is greater than that of the oth-er two methods.
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