NDLI: The impacts of mining exploitation on the environment in the Changchun–Jilin

Content Provider	Springer Nature Link
Author	Zhang, Yu Lu, Wen xi Yang, Qing chun
Copyright Year	2014
Abstract	The Changchun–Jilin–Tumen economic area is the center of the Old Northeastern Industrial Base with substantial mineral resource in Northeast China. Historical mining exploitation has caused extensive impact on environment. The objective of this study was to quantitatively evaluate the impact induced by mining activities in 106 mining sites and then find out the most significant factors contributing to the environmental damage. The affected environment components were divided into fifteen impacting factors, and environmental assessment was performed by using developed Folchi methods which was combined with adaptive Takagi–Sugeno fuzzy neural network (TSFNN). Correspondence analysis was adopted to explore the effects of the impacting factor on mining environment. Through the comparison with Improved Analytic Hierarchy Process, 96.23 % of evaluation results are the same. Our results showed that TSFNN model can effectively assess impacts of mining exploitation in three categories: slight, moderate, and heavy. The assessment result shows that 64.15 % mining sites are moderately damaged, while 7.5 % are heavily damaged. For all factors studied, environmental geological problem is the dominant factor in Environmental Impact Assessment, accounting for 56.67 % of the weight-wise including geological disasters, environmental pollution, and resources destruction. The anthropic factor exerts a more considerable influence on environment than natural factor. With mining exploitation, geological disaster is the main threat to the mountains in southeast, but environmental pollution and resources destruction are the main threats to the central plains. The assessment and analysis results can provide useful insights in the decision-making process for national authorities in the prioritization of environmental remediation and protection.
Starting Page	1019
Ending Page	1038
Page Count	20
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	76
Issue Number	2
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-11-26
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Environmental pollution Impact assessment T–S fuzzy neural network Correspondence analysis Mining Natural Hazards Hydrogeology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Civil Engineering Environmental Management
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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