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《Journal of China Coal Society》 2017-02
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Analysis of dynamic characteristics of vegetation in semi-arid mining area based on time trajectory segmentation algorithm

WANG Cang-jiao;JIA Duo;LEI Shao-gang;MU Shou-guo;School of Environment Science and Spatial Informatics,China University of Mining and Technology;Institute of Land Resources,China University of Mining and Technology;  
Previous studies on vegetation change have difficulties to depict the detail information of dynamic characteristics of vegetation disturbance and recovery. This study takes Daliuta as a research area to extract the year of event onset,the duration and magnitude of vegetation disturbance and recovery based on time trajectory segmentation algorithm. The results indicated that: 1 At different production functional ozone scales,the area proportion of each time of event onset showed clustering over the year,large disturbance and recovery both distributed in all functional zones in1995,and the same as partial functional zones including mining face ozone,small coal pit area and vegetation reconstruction area in 2010. Large disturbance and recovery of open-pit mining in 2006 and 2009 respectively was occurred.Compared with other functional ozone,the industrial square and built-up area were seriously disturbed and recovered.The disturbance magnitude of coal pit was significantly higher than the magnitude of recovery,and the differences between disturbance and recovery magnitude were largest among different functional zones. 2 At mining face scale,thevegetation response to coal mining showed postponing. In addition,the largest range of disturbance occurred in the second year after exploitation. The magnitude of first vegetation disturbance after coal exploitation was higher than recovery magnitude,whereas the disturbance duration was less than the recovery duration. The range of duration of the first disturbance after coal exploitation is from 1. 54 to 2. 40,while is from 4. 05 to 6. 75 for the first recovery duration after coal mining.
【Fund】: 国家重点基础研究发展计划(973)资助项目(2013CB227904);; 国家重点研发计划资助项目(2016YFC0501107);; 国家自然科学基金重点资助项目(U1361214)
【CateGory Index】: Q948
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