DocumentCode
2499534
Title
Appraisal of Aquatic Environment in Mining Subsidence Based on Multiple Biological Indexes
Author
Wu, Yanbin ; Cui, Fan
Author_Institution
Sch. of Bus. Adm., Hebei Univ. of Economic & Bus., Shijiazhuang, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
A fuzzy composite appraisal of multiple biologica indexes was proposed in order to monitor the aquatic environment in mining subsidence. This method can overcome the shortcoming of the un-precision of traditional biological evaluation. Through the fuzzy mathematics principle, the functions of membership were constructed by using middle value of boundary line of water quality grade appraisal results based on traditional biological indexes as datum point. Four representational mining subsidence ponds in Huainan mine area were surveyed. Based on the physical-chemical properties and distribution of aquatic vascular plant and phytoplankton community, the BIP index, Diatom index, Shannon-Wiener diversity index and Chlorophyll-a content were calculated. The four indexes above mentioned were applied to carry out fuzzy composite appraisal water environment. The results show that all sampling subsidence water have been polluted in different eutrophication extent.
Keywords
biology; groundwater; mining; water pollution; water quality; BIP index; Chlorophyll-a content; Huainan mine area; Shannon-Wiener diversity index; aquatic environment; aquatic vascular plant; boundary line; diatom index; eutrophication; fuzzy composite appraisal; mining subsidence; multiple biological index; phytoplankton community; water pollution; water quality grade appraisal; Appraisal; Environmental economics; Mathematics; Monitoring; Nitrogen; Organisms; Plants (biology); Safety; Sampling methods; Water pollution;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162403
Filename
5162403
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