Application of Fuzzy Comprehensive Evaluation Method in Groundwater Quality Assessment in Handan City

2010 ◽  
Vol 113-116 ◽  
pp. 1275-1279
Author(s):  
Xue Jiang ◽  
Chang Lai Xiao ◽  
Xiu Juan Liang ◽  
Meng Yao Xu

The fuzzy comprehensive evaluation method was applied to evaluation of groundwater quality .According to the measured data, the Brewery, Small North Castle and Weft Plant in the southeast of Handan were selected as the sampling points. Then with the actual situation, 13 kinds of evaluation factors including pH, total hardness, sulfate, chloride, volatile phenols, nitrate, nitrite, ammonia nitrogen, fluoride, cyanide, Hg, As, Cr (hexa-valend) were chosen to evaluate groundwater quality. From the aspects of weight and fuzzy matrix computing, the whole process of application of fuzzy comprehensive evaluation method was introduced into groundwater quality evaluation in this paper.

Author(s):  
Hongxia Cheng ◽  
Zhang Minghui

Abstract The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on multi-scale fuzzy comprehensive evaluation and big data analysis methods. We combines coarse-grained multi-scale fuzzy entropy and fuzzy comprehensive evaluation method to establish a groundwater quality evaluation model based on big data environment. The evaluation of groundwater samples from 327 test points in Huangpu District, Xuhui District, Hongkou District, and Putuo District of Shanghai was conducted. The results show that the overall condition of Shanghai groundwater is better, and more than 94% of samples qualified as drinking water sources. The method presented in this paper not only guarantees that the coarse-grained data on all scales are consistent with the length of the original data, but also avoids the phenomenon of data loss, which greatly improves the accuracy of subsequent algorithms. HIGHLIGHT This article first introduces the theory of the multi-scale fuzzy comprehensive evaluation method, then uses the scale analysis method to determine the weight and the fuzzy comprehensive evaluation method to calculate the current status of groundwater resources in Shanghai. Finally, it compares the conclusions obtained with the fuzzy comprehensive evaluation method and analyzes it. Similarities and differences in evaluation results and their causes. It can be seen from the comprehensive comparison that the evaluation using the multi-scale fuzzy comprehensive evaluation method can more intuitively compare the differences in water quality between different administrative regions.The evaluation system in this paper is more comprehensive, and its evaluation results are more comprehensive and reasonable than the fuzzy comprehensive evaluation method.


2012 ◽  
Vol 610-613 ◽  
pp. 2729-2733
Author(s):  
Yu Jiang He ◽  
Dong Wang ◽  
Gui L. Wang

The representative pollution factors are selected to undergo the single-factor membership grade evaluation and weight normalization treatment, and then fuzzy comprehensive evaluation method is employed to analyze the groundwater quality in a particular region in North-China Plain. The weight of each factor is determined as per the measured density value, thus guaranteeing objective and accurate evaluation results, which provide scientific grounds for the water resources planning and treatment. Therefore, the fuzzy comprehensive evaluation method is a scientific means of efficiently and accurately evaluating the groundwater quality.


2013 ◽  
Vol 444-445 ◽  
pp. 1751-1755
Author(s):  
Qing Hua Zhan ◽  
Shi Mei Wang

This paper first introduces the meaning and mission of the economic evaluation of geological disasters,as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.


Sign in / Sign up

Export Citation Format

Share Document