Spatio-temporal impact and the scope of vegetation disturbance from coal mining: A case of the Ningdong mining district

doi:10.13745/j.esf.sf.2020.10.11

Abstract

Abstract:

Coal mining is a large-scale, high-intensity ecologically disruptive activity causing considerable ecological and environmental problems, such as land occupation, land damage, and vegetation destruction. The northwest region of China has an arid climate, sparse vegetation, and an extremely fragile ecological environment. The Ningdong mining district is a typical arid coal mining area and has important research value. Therefore this area, along with a reference area with similar natural conditions, were selected as the study area. A total of 276 MODIS NDVI remote sensing images from 2008 to 2019 were used for this study. In the temporal dimension, seasonal and trend decomposition using Loess (STL), functional principal component analysis (FPCA), pixel binary model calculation of vegetation coverage, and other methods, were applied to analyze the temporal variation characteristics of NDVI. The results show that the prolonged mining operation caused noticeable stress to vegetation growth around the mining district compared with the reference area. In the spatial dimension, FPCA was used to analyze the correlation of NDVI data across different buffer zones. We found that the boundary of the ecological impact area lies about 7 km from the mining district. In addition, we analyzed the variation in vegetation coverage at the pixel level and performed a hierarchical statistical analysis of vegetation coverage for different variation ranges. It was found that although the average value of NDVI remained stable over time, the moderate to severely degraded vegetation areas have increased significantly.

Key words: arid desert area, coal mining, vegetation disturbance, spatiotemporal analysis

CLC Number:

X171.4
X87

YUAN Tao, NI Xuan, ZHOU Wei. Spatio-temporal impact and the scope of vegetation disturbance from coal mining: A case of the Ningdong mining district[J]. Earth Science Frontiers, 2021, 28(4): 110-117.

Figures/Tables 6

Fig.1 Coal mining zones in the Ningdong mining district (left) and the relative locations of the mining district and reference zone

Fig.2 NDVI time series of the mining buffer zones and reference zone

Fig.3 Trend analysis of NDVI time series using STL method for the mining buffer zones and reference zone

Fig.4 Correlation matrix diagram of the mining (left) and reference buffer zones

Fig.5 The first and second principal components in functional principal components analysis of the mining buffer zones

Table 1 Evolutionary status of vegetation in the mining area

植被变化类型	占总面积比例/%
严重退化	5.61
中度退化	18.61
轻微退化	25.03
基本不变	29.87
轻微改善	14.64
中度改善	4.45
明显改善	1.76

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