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首页> 外文会议>Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009 >Appraisal of Aquatic Environment in Mining Subsidence Based on Multiple Biological Indexes
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Appraisal of Aquatic Environment in Mining Subsidence Based on Multiple Biological Indexes

机译：基于多种生物指标的开采沉陷水环境评价

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摘要

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.
机译：为了监测开采沉陷中的水生环境，提出了多种生物指标的模糊综合评价方法。该方法可以克服传统生物评价方法不精确的缺点。通过模糊数学原理，以传统生物学指标为基础，以水质等级评价结果的界线中间值为中间值，构造隶属度函数。对淮南矿区的四个有代表性的开采沉陷池进行了调查。根据水生维管植物和浮游植物群落的理化性质和分布，计算了BIP指数，硅藻指数，Shannon-Wiener多样性指数和叶绿素a含量。运用上述四个指标对水环境进行模糊综合评价。结果表明，所有采样沉陷水都发生了不同程度的富营养化。

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