Spatio-temporal variation of vegetation in an arid and vulnerable coal mining region

被引：16

作者：

Lei S. ^{[1
,2
]}

Bian Z. ^{[1
]}

Daniels J.L. ^{[2
]}

He X. ^{[3
]}

机构：

[1] School of Environment and Spatial Informatics, China University of Mining and Technology

[2] Global Institute for Energy and Environmental Systems, University of North Carolina

[3] College of Ecology and Environmental Science, Agricultural University of Inner Mongolia

来源：

Mining Science and Technology | 2010年 / 20卷 / 03期

关键词：

environmental evaluation; ground subsidence; satellite image; vegetation index;

D O I：

10.1016/S1674-5264(09)60230-1

中图分类号：

学科分类号：

摘要：

Environmental assessment in an arid coal mining area requires an understanding of the influences of coal mining, the arid climate and ecological remediation. To that end, we selected vegetation as the key environmental factor to observe. Remote sensing approaches to monitoring the spatio-temporal variation of vegetation caused by mining activities, the arid climate and ecological remediation in the Shengdong coal mining area are described. Over a large regional scale it was found that the vegetation was improved as a result of ecological remediation activities. At the local scale, however, the vegetation coverage and soil moisture in the mined areas were slightly lower than those in un-mined areas due to mining subsidence. These differences are partly attributed to ground fissures that injure root systems and increase the depletion of soil moisture. It is recommended that fissures be reduced and filled to lessen their adverse effects on the environment. © 2010 China University of Mining and Technology.

引用

页码：485 / 490

页数：5

共 17 条

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