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Journal of Arid Land
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Journal of Arid Land  2017, Vol. 9 Issue (5): 712-726    DOI: 10.1007/s40333-017-0065-8
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Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model 
WANG Yuchen, BIAN Zhengfu*, LEI Shaogang, ZHANG Yu
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model 
WANG Yuchen, BIAN Zhengfu*, LEI Shaogang, ZHANG Yu
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China 
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摘要 
Mining operations can usually lead to environmental deteriorations. Underground mining activities could cause an extensive decrease in groundwater level and thus a dramatic variation in soil moisture content (SMC). In this study, the spatial and temporal variations of SMC from 2001 to 2015 at two spatial scales (i.e., the Shendong coal mining area and the Daliuta Coal Mine) were analyzed using an improved thermal inertia model with a long-term series of Landsat TM/OLI (TM=Thematic Mapper and OLI=Operational Land Imager) data. Our results show that at large spatial scale (the Shendong coal mining area), underground mining activities had insignificant negative impacts on SMC and that at small spatial scale (the Daliuta Coal Mine), underground mining activities had significant negative impacts on SMC. Trend analysis of SMC demonstrated that areas with decreasing trend of SMC were mainly distributed in the mined area, indicating that underground mining is a primary cause for the drying trend in the mining region in this arid environment.
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WANG Yuchen
BIAN Zhengfu
LEI Shaogang
ZHANG Yu
关键词mining disturbance   spatial-temporal variation   soil moisture content   thermal inertia   Shendong coal mining area      
Abstract: Mining operations can usually lead to environmental deteriorations. Underground mining activities could cause an extensive decrease in groundwater level and thus a dramatic variation in soil moisture content (SMC). In this study, the spatial and temporal variations of SMC from 2001 to 2015 at two spatial scales (i.e., the Shendong coal mining area and the Daliuta Coal Mine) were analyzed using an improved thermal inertia model with a long-term series of Landsat TM/OLI (TM=Thematic Mapper and OLI=Operational Land Imager) data. Our results show that at large spatial scale (the Shendong coal mining area), underground mining activities had insignificant negative impacts on SMC and that at small spatial scale (the Daliuta Coal Mine), underground mining activities had significant negative impacts on SMC. Trend analysis of SMC demonstrated that areas with decreasing trend of SMC were mainly distributed in the mined area, indicating that underground mining is a primary cause for the drying trend in the mining region in this arid environment. 
Key wordsmining disturbance   spatial-temporal variation   soil moisture content   thermal inertia   Shendong coal mining area    
收稿日期: 2016-09-22; 出版日期: 2017-08-01
基金资助:This study was supported by the National Natural Science Foundation of China (U1361214) and the National Key Research and Development Program of China (2016YFC0501107). 
通讯作者: BIAN Zhengfu     E-mail: BIAN Zhengfu
引用本文:   
WANG Yuchen,BIAN Zhengfu,LEI Shaogang等. Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model [J]. Journal of Arid Land, 2017, 9(5): 712-726.
WANG Yuchen,BIAN Zhengfu,LEI Shaogang et al. Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model [J]. Journal of Arid Land, 2017, 9(5): 712-726.
 
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