Vegetation disturbance analysis in coal mining area with high ground water level based on Landsat time series NDVI data

被引:0
|
作者
Fang L. [1 ]
Chen Y. [2 ]
An S. [2 ]
Xu Y. [2 ]
Yin M. [3 ]
Li Z. [3 ]
Zhao P. [3 ]
Chen Y. [2 ]
机构
[1] Huainan Mining Industry (Group) Co., Ltd., Huainan
[2] Ping’an Coal Mining Engineering Technology Research Institute Co., Ltd., Huainan
[3] Institute of Spatial Information Intelligent Analysis and Application, School of Resources and Environmental Engineering, Hefei University of Technology, Hefei
[4] Anhui Province Engineering Laboratory for Mine Ecological Remediation, School of Resources and Environmental Engineering, Anhui University, Hefei
来源
Meitiandizhi Yu Kantan/Coal Geology and Exploration | 2021年 / 49卷 / 02期
关键词
Coal mining subsidence area; Guqiao coal mine in Huainan; High ground water level; Landsat time series data; NDVI; Vegetation disturbance;
D O I
10.3969/j.issn.1001-1986.2021.02.026
中图分类号
学科分类号
摘要
The eastern mining area of China is an important coal and grain composite production area. Due to the flat terrain and high underground diving level, most of the subsidence caused by mining is perennial or seasonal water, which causes serious land, ecological and environmental problems. As an important part of the ecological environment in mining area, vegetation has dynamic characteristics due to the external disturbance and the change of environmental factors. The normalized difference vegetation index(NDVI) is a common indicator for remote sensing monitoring of vegetation growth. The analysis based on NDVI time series data can effectively reveal the disturbance effect of vegetation. Taking Guqiao Coal Mine in Huainan, Anhui Province as the research object, the temporal and spatial variation characteristics of NDVI values were analyzed based on the classification statistics of Landsat NDVI time series data from 2007 to 2018, as well as hot spot analysis, clustering and outlier analysis, and profile analysis, and then the disturbance effect of coal mining subsidence on the surrounding vegetation was discussed. Results showed that from 2007 to 2018, the vegetation growth in Guqiao Mine was generally good, while the dispersion degree of vegetation cover was increasing. The NDVI distribution in Guqiao Mine has obvious spatial clustering characteristics, both are “High-High” Cluster type or “Low-Low” Cluster type, and there is no abnormal appearance. Under the influence of coal mining, hot spots decreased and cold spots increased, and the conversion of hot spots to cold spots mainly occurred in the area of subsidence water, near the Deshang speedway and Yongxing River. Within a certain range around the subsidence water accumulation area, there was an obvious vegetation disturbance effect, and the initial disturbance of mining was small. With the growth of the water accumulation area and the lapse of time, the disturbance range gradually increased and finally tended to be stable, which showed temporal lag and spatio-temporal accumulation. The results would provide a reference for the determination of ecological influence range and the restoration of ecological environment in coal mining subsidence area. © 2021 Meitiandizhi Yu Kantan/Coal Geology and Exploration. All rights reserved
引用
收藏
页码:207 / 215
页数:8
相关论文
共 22 条
  • [1] LECHNER A M, BAUMGARTL T, MATTHEW P, Et al., The impact of underground longwall mining on prime agricultural land: A review and research agenda[J], Land Degradation & Development, 27, 6, pp. 1650-1663, (2016)
  • [2] LI Shilong, QIU Feng, JIANG Chunlu, Et al., Differences of soil cadmium in mining subsidence area between Guqiao and Xinzhuangzi in Huainan[J], Coal Geology & Exploration, 46, pp. 6-10, (2018)
  • [3] HU Jinxin, ZHENG Liugen, KONG Lingjian, Et al., Spatio-temporal distribution characteristics of mercury in soil of Huainan coal mining subsidence area[J], Coal Geology & Exploration, 46, 6, pp. 115-120, (2018)
  • [4] YANG Tao, CHEN Xinyue, LIU Xu, Et al., Environmental geochemical characteristics of cadmium of soil and coal gangue in mining-induced subsidence area of Panji mine in Huainan[J], Coal Geology & Exploration, 46, pp. 1-5, (2018)
  • [5] WANG Guisheng, QIU Kaijian, Dynamic monitoring of vegetation coverage in Huainan Mining Area based on MODIS NDVI[J], Bulletin of Surveying and Mapping, 495, 6, pp. 34-40, (2018)
  • [6] Yang XIANG, LI Junyi, CHEN Hongfei, Research on vegetation NPP changes by CASA model in Shendong mining area[J], Hubei Agricultural Sciences, 56, 10, pp. 1843-1846, (2017)
  • [7] LEI Shaogang, REN Lixin, BIAN Zhengfu, Time-space characterization of vegetation in a Semiarid Mining Area using empirical orthogonal function decomposition of MODIS NDVI time series, Environmental Earth Sciences, 75, 6, (2016)
  • [8] ZHANG Zemin, XIE Miaomiao, ZHOU Wei, Et al., Best band combination of vegetation chlorophyll retrieval in mining area[J], Remote Sensing Information, 31, 2, pp. 114-119, (2016)
  • [9] QIU Yue, FAN Deqin, ZHAO Xuesheng, Et al., Spatio-temporal changes of NPP and its responses to phenology in northeast China[J], Geography and Geo-Information Science, 33, 5, pp. 21-27, (2017)
  • [10] CAI Zonglei, BAO Nisha, LIU Shanjun, Estimation method of fractional vegetation coverage for grassland based on Chinese GF-1 satellite image: Taking Hulun Buir prairie open-pit coal mine as an example[J], Geography and Geo-Information Science, 33, 2, pp. 32-38, (2017)