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封闭式采煤沉陷积水区富营养化评价方法比较 认领

Comparison of Evaluation Methods of Eutrophication in Closed Coal Mining Subsidence Areas
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摘要 为了寻找与采煤沉陷积水区更匹配的富营养化评价方法,以淮南潘一矿封闭式沉陷区作为研究对象,连续进行Chl-a、TN、TP、COD、SD等指标的监测,采用综合营养状态指数法、人工神经网络法、基于改进粗糙集的模糊综合评价法对其富营养化状态进行评价对比研究。结果表明:以综合营养状态指数法作为参照,改进粗糙集的模糊综合评价法在时空尺度的富营养化评价分析中更加符合沉陷区实际,人工神经网络法得出的富营养化等级相对低;结合水质的变化趋势,可以得出封闭式沉陷积水区的富营养状态与周边农业生产活动、人类居住等因素密切相关。 In order to find a eutrophication evaluation method that better matches the coal mining subsidence water area,the closed subsidence area of Panyi Mine was selected as the research object in Huainan,and the indicators,such as Chl-a,TN,TP,COD,SD,etc,were monitored in this area and in different seasons.Three assessment methods,namely,comprehensive nutrition state index method,artificial neural network method,and improved fuzzy comprehensive evaluation method were carried on to judge to compare the eutrophication state of the area.The results showed that the improved fuzzy comprehensive evaluation method for rough sets was stricter with the comprehensive nutritional status index method as a reference,and it was more consistent with the actual situation of subsidence area in the analysis of eutrophication in space-time scale.The artificial neural network method was characterized with weakening the degree of eutrophication.Combined with the changing trend of water quality,it can be concluded that the eutrophication status of the closed seed-water area is closely related to the surrounding agricultural production activities,human habitation and other factors.
作者 范廷玉 张金棚 王顺 余乐 王兴明 苏金飞 FAN Tingyu;ZHANG Jinpeng;WANG Shun;YU Le;WANG Xingming;SU Jinfei(School of Earth and Environment, Anhui University of Science and Technology, Huainan Anhui 232001, China;Anhui Academician workstation of Meida Coal Mining Subsidence Management Company, Huainan Anhui 232001, China)
出处 《安徽理工大学学报:自然科学版》 CAS 2020年第3期8-15,共8页 Journal of Anhui University of Science and Technology:Natural Science
基金 国家自然科学基金项目(41402309) 淮北矿业集团2019科技研发项目(2019-1-504) 中国水利水电研究院重点实验室开放基金(IWHR-SKL-201907)。
关键词 封闭式 沉陷积水区 人工神经网络 模糊综合评价 富营养化评价 Closed subsidence water area artificial neural network fuzzy comprehensive evaluation eutrophication evaluation
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