欢迎访问《金属矿山》杂志官方网站,今天是 分享到:
×

扫码分享

金属矿山 ›› 2025, Vol. 54 ›› Issue (10): 219-225.

• 安全与环保 • 上一篇    下一篇

基于改进温度—植被干旱指数的土壤含水率时空变化遥感监测#br#

廖清发1,2 胡振琪3 苗 伟1,2 崔瑞豪3 徐燕飞1,2 陈 晨1,2 芮成奇1,2   

  1. 1. 平安煤炭开采工程技术研究院有限责任公司,安徽 淮南 232000;2. 淮南矿业(集团)有限责任公司,安徽 淮南 232000;
    3. 中国矿业大学环境与测绘学院,江苏 徐州 221116
  • 出版日期:2025-10-15 发布日期:2025-11-07
  • 通讯作者: 胡振琪(1963—),男,教授,博士。
  • 作者简介:廖清发(1983—),男,高级工程师。
  • 基金资助:
    国家重点研发计划项目(编号:2023YFE0122300)。

Remote Sensing Monitoring of Spatio-Temporal Variations in Soil Moisture Content Based on Kernel Temperature-Vegetation Drought Index#br#

LIAO Qingfa1,2 HU Zhenqi3 MIAO Wei1,2 CUI Ruihao3 XU Yanfei1,2 CHEN Chen1,2 RUI Chengqi1,2   

  1. 1. Ping′an Coal Mining Engineering Technology Research Institute Co. ,Ltd. ,Huainan 232000,China;
    2. Huainan Mining (Group) Co. ,Ltd. ,Huainan 232000,China;3. School of Environment and Spatial Informatics,
    China University of Mining and Technology,Xuzhou 221116,China
  • Online:2025-10-15 Published:2025-11-07

摘要: 地下煤炭开采引发的地表沉陷在淮南矿区形成积水区,显著改变周边土壤水分分布,进而影响农作物
生长与区域粮食安全。提出了一种基于归一化核植被指数的改良温度—植被干旱指数反演方法,应用于采煤沉陷区
的土壤含水率遥感监测。验证结果表明,该反演方法精度优于传统方法,样本相关系数高达0. 75,监测误差显著降
低。基于该方法构建的土壤水分等级时空分布图揭示:沉陷区水分格局季节性变化明显,春季以湿润区为主,夏季饱
和区占优,秋冬则呈现整体湿度维持或改善的趋势;整体来看,中高水分区域比例逐年增加,揭示了沉陷后积水区土
壤湿度的恢复性提升。研究表明,本反演方法在矿区土壤水分动态监测中具有较高的适用性和稳定性,可为生态修
复评估与农业管理提供可靠技术支撑。

关键词: 采煤沉陷 土壤含水率 植被指数 干旱指数 时空变化

Abstract: The surface subsidence caused by underground coal mining has formed a water accumulation area in Huainan
mining area,which significantly changes the distribution of surrounding soil moisture,and then affects crop growth and regional
food security. An improved temperature-vegetation drought index inversion method based on normalized kernel vegetation index
is proposed,which is applied to remote sensing monitoring of soil moisture content in coal mining subsidence area. The verification
results show that the accuracy of the inversion method is better than that of the traditional method,the sample correlation
coefficient is as high as 0. 75,and the monitoring error is significantly reduced. The spatio-temporal distribution map of soil
moisture level constructed based on this method reveals that the seasonal variation of water pattern in subsidence area is obvious.
The wet area is the main area in spring,the saturated area is dominant in summer,and the overall humidity tends to maintain
or improve in autumn and winter. On the whole,the proportion of medium and high moisture areas increased year by year,
which revealed the improvement of soil moisture recovery in the waterlogged area after subsidence. The research shows that the
inversion method has high applicability and stability in the dynamic monitoring of soil moisture in the mining area,and can provide
reliable technical support for ecological restoration evaluation and agricultural management.

Key words: coal mining subsidence,soil moisture content,vegetation index,drought index,temporal and spatial variation

中图分类号: