生态与农村环境学报 ›› 2016, Vol. 32 ›› Issue (2): 200-206.doi: 10.11934/j.issn.1673-4831.2016.02.005

• 西部重点矿区土地退化因素调查专题 • 上一篇    下一篇

半干旱煤炭开采沉陷区植被扰动响应的时间特征

陶文旷1, 雷少刚2   

  1. 1. 中国矿业大学环境与测绘学院, 江苏徐州 221116;
    2. 中国矿业大学国土资源研究所, 江苏徐州 221116
  • 收稿日期:2015-11-09 出版日期:2016-03-25 发布日期:2016-04-01
  • 通讯作者: 雷少刚,E-mail:lsgang@126.com E-mail:lsgang@126.com
  • 作者简介:陶文旷(1993-),男,安徽马鞍山人,硕士生,主要从事环境遥感方面的研究。E-mail:tao129tao@163.com
  • 基金资助:

    教育部新世纪优秀人才支持计划(NCET-12-0956);国家科技基础性工作专项(2014FY110800)

Temporal Characteristics of Response of Vegetation to Disturbance of Mining and Subsidence in Semi-Arid Coal Mining Area

TAO Wen-kuang1, LEI Shao-gang2   

  1. 1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;
    2. Institute of Land Resources, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2015-11-09 Online:2016-03-25 Published:2016-04-01

摘要:

利用2005-2012年MODIS影像和TM影像的月均归一化差分植被指数(NDVI)时间序列数据以及神东矿区大柳塔地区气象数据,采用基于Loess算法的时间序列季节和趋势成分分解法(STL)、时滞互相关分析和改进后的残差分析等方法,探讨大柳塔地区2005-2012年植被NDVI随降雨和温度变化而变化的时间规律,以及植被NDVI因采矿等人类活动而变化的时间规律。结果表明:大柳塔地区植被NDVI对降雨和温度变化的响应滞后时间为1个月,与最近2个月降雨和的相关性最高;开采对植被NDVI具有负面影响,植被NDVI响应滞后时间短于1个月。

关键词: 大柳塔矿区, 气候变化, 人类活动, 时间特征

Abstract:

STL (season and trend decomposition using Loess) time sequence decomposition (locally weighted regression scatter smoothing) method, time lag correlation analysis and modified residual analysis were performed of the MODIS images, the mean monthly NDVI (normalized difference vegetation index) time sequence data of TM images and the meteorological data of Daliuta of the Shendong Mining Area of the time period of 2005-2012, to explore laws of the temporal variation of vegetation NDVI in Daliuta with changes in precipitation and temperature during the period from 2005 to 2012 as well as laws of temporal variation of vegetation NDVI in response to human activities, especially mining activities. Results show that the vegetation NDVI in Daliuta responded one month behind the changes in precipitation and temperature, and was the most closely related to rainfall of the past two months; coal mining did have some negative impacts on vegetation NDVI, which responded a bit less than one month later.

Key words: Daliuta mining area, climate change, human activity, temporal characteristics

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