Fuzzy evaluation on the water environmental quality of the upstream section from Taizihe River, China

Author(s):  
Q Chen ◽  
Y Liu ◽  
Q Wang ◽  
S Xin
2012 ◽  
Vol 518-523 ◽  
pp. 5203-5208
Author(s):  
Shi Dong Liu ◽  
Jun Gao ◽  
Dong Qian Xue

The study on tourism environment impact on coastal area has been a hot spot for coastal ecological environment research in our country. Based on grey recognition mode, this Paper analyzes the water environment quality of Shanghai Hangzhou Bay north shore coastal artificial bathing place in the spatial-temporal perspectives and researches the impacts of coastal tourism activities on water environment. The research results reveal that: (1) Coastal artificial bathing place is beneficial for protecting and improving coastal water environmental quality and different management modes on coastal artificial bathing place present different temporal features on protection of coastal water body; (2) In tourist peak season, environmental management improves the surrounding water environmental quality of artificial bathing place; (3) In the same coastal artificial bathing place, with different water body purification technologies and different influence mechanism, the tourism activities shows different levels of impact on water environment.


2011 ◽  
Vol 356-360 ◽  
pp. 2383-2388 ◽  
Author(s):  
Jun Yao Yang ◽  
Lei Lei Zhang

There are lots of methods of evaluating the environmental quality of groundwater. Based on a comprehensive analysis of those common methods, this paper puts forward a method named fuzzy comprehensive evaluation method on water environmental quality based on entropy weight with consideration of toxicology of evaluation factors. Developed from the entropy-based fuzzy comprehensive evaluation method, this method takes into account the influences caused by the toxicology weight and over standard weight of evaluation factors on the calculation of entropy weight. Through some water samples, the evaluation result of this method is more reasonable, objective and comprehensive than the one which is concluded from the entropy-based fuzzy comprehensive evaluation method.


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