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草原区露天煤矿植被覆盖度时空演变与驱动因素分析

张世文 宁汇荣 许大亮 叶回春 郑印 张红艳 黄元仿

农业工程学报2016,Vol.32Issue(17):233-241,9.
农业工程学报2016,Vol.32Issue(17):233-241,9.DOI:10.11975/j.issn.1002-6819.2016.17.031

草原区露天煤矿植被覆盖度时空演变与驱动因素分析

Analysis of spatio-temporal evolution and driving factors of vegetation fraction for opencast coal mine in grassland area

张世文 1宁汇荣 2许大亮 1叶回春 3郑印 1张红艳 4黄元仿5

作者信息

  • 1. 安徽理工大学地球与环境学院,淮南 232001
  • 2. 安徽农业大学经济管理学院,合肥 230036
  • 3. 中国科学院遥感与数字地球研究所,北京100094
  • 4. 中国农业大学理学院,北京 100193
  • 5. 中国农业大学资源与环境学院,北京 100193
  • 折叠

摘要

Abstract

Based on Landsat TM satellite remote sensing image data, the paper utilized the vegetation index and vegetation fraction to analyze their spatio-temporal evolution and its driving factors. Spatial heterogeneity and its driving mechanism of vegetation fraction were analyzed under the linkage of mining and reclamation. Based on regression coefficient, standard deviation, gradation conversion matrix, and so on, we revealed the response of the vegetation cover to the mining and reclamation activities with time through the analyses of the trend and fluctuation of vegetation coverage in the study area, the mining area and the reclamation area. The results showed that the vegetation fraction and its grade in different years had some similarity, and the pattern of spatio-temporal evolution was broken by mining and reclamation activities in open pit mines to some extent. The vegetation coverage in the study area was mainly the middle (Grade IV) and the middle-low (Grade III) level, and according to the average of many years, both of them accounted for more than 80% of the total area of the study area. The ratio of the area with increased vegetation cover degree to the area with decreased vegetation cover degree was 2:3, and correlation coefficient was between -0.9266 and 0.4805. The correlation was not significant in the range of positive value, but was significant in the negative part. Correlation coefficient from -0.9266 to -0.895 was through the significance test of 0.025, and vegetation damage was the most severe, which belonged to a very significant change, and almost all were distributed in the exploited Xi’er, Xiyi and Dong’er open-pit stope and their solid waste yard, industrial sites and road with an area of about 4.85 km2. The standard deviation (SD) of inter-annual vegetation fraction for the study area was in 0-0.49. The vegetation fraction of open pit area, dump and surrounding areas with a range of 1.5 km was significantly decreased, and had gradually converged. Reclamation revegetation would experience a “high-low-high” cycle in the study area, and according to the changes of vegetation reclamation, protection period must ensure more than 6 years in semiarid grassland. In the study area, the land reclamation standard was higher than the surrounding area, and the recovery effect was better. More than 70% of areas had the transition of vegetation fraction, and the transition was relatively frequent. The fluctuation degree for the area of Grade III and II was the largest, which were the most damaged. There was 90 percent of the area of GradeⅠwhich was transferred by the mining activities. To enhance the vegetation coverage in the study area, it was required to reduce the social pressure and improve the ecological resilience. To reduce social pressure, we should consider the coal mining and solid waste stacking technology, with minimal impact on the ecological process in the form of a layered, limited mining area and stope arrangement for solid waste. The improvement of ecological resilience should increase the input of land reclamation, and steadily improve the coefficient of vegetation restoration in the mining area. The research results will provide information support for the ecological environmental protection and decision making, restoration and management in the area of open pit coal mine.

关键词

遥感/煤矿/复垦/植被覆盖度/时空演变/驱动因素

Key words

remote sensing/coal mines/reclamation/vegetation fraction/spatio-temporal evolution/driving factors

分类

管理科学

引用本文复制引用

张世文,宁汇荣,许大亮,叶回春,郑印,张红艳,黄元仿..草原区露天煤矿植被覆盖度时空演变与驱动因素分析[J].农业工程学报,2016,32(17):233-241,9.

基金项目

国家自然科学基金资助项目(41471186、41571217);国土资源部公益性行业科研专项资助项目(201411017)。 ()

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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