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淮北临涣矿采煤沉陷区生态系统健康评价

Ecosystem Health Evaluation of coal Mining Subsidence Area of Linhuan Mine in Huaibei City
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摘要 根据淮北临涣采煤沉陷区水生态调查数据,基于方差赋权的生态系统综合指数法,采用主成分分析与相关性分析方法进行指标筛选,建立了沉陷区生态系统健康评价指标体系。结果表明:(1)功能区周边环境大致相同,沉陷区西部废水排放区环境最差,东部近矸石山区状况最好,其综合健康指数值分别为0.422、0.566;(2)临涣采煤沉陷区生态系统处于亚健康状态,栖息地环境和水生生物指标分别为0.337 5和0.256 6,是影响临涣采煤沉陷水域生态系统最大的两个指标类型。矿业生产活动、露天矿业废弃物堆放、农业生产和居民生活污水是导致临涣采煤沉陷区生态系统亚健康的主要原因。 According to the water ecological survey data of the Linhuan coal mining subsidence area in Huaibei,the comprehensive index method of ecosystem health evaluation in subsidence area was established based on variance weighting ecosystem comprehensive index method,and the principal component analysis and correlation analysis method.The results showed that:(1)The surrounding environment of the functional area is roughly the same,the western wastewater discharge area of the subsidence area is the worst,and the eastern mountainous area near the gangue is in the best condition.The comprehensive health index values were 0.422 and 0.566 respectively;(2)The ecological system in Linhuan coal mining subsidence area was in a sub-healthy state,and the habitat environment and aquatic biological indicators were 0.3375 and0.2566,respectively,which were the two most important indicators affecting the ecosystem of the water bodies in Linhuan coal mining subsidence area.Mining production activities,open-pit mining waste stacking,agricultural production and domestic sewage are the main reasons for the sub-health of the ecosystem in the Linhuan coal mining subsidence area.
作者 穆红波 任梦溪 陈永春 郑刘根 安士凯 谢毫 MU Hong-bo;REN Meng-xi;CHEN Yong-chun;ZHENG Liu-gen;AN Shi-kai;XIE Hao(National Engineering Laboratory for Coalmine Ecological Environment Protection,Huainan,Anhui 232001,China;School of Resource&Environment Engineering,Anhui Engineering Laboratory of Mine Ecological Restoration,Anhui University,Hefei 230601,China)
出处 《四川环境》 2021年第3期164-171,共8页 Sichuan Environment
关键词 采煤沉陷区 生态系统 综合指数法 健康评价 Coal mining subsidence area ecosystem comprehensive index method health evaluation
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