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基于温度植被干旱指数的兖州煤田煤炭开采影响边界遥感提取
引用本文:李晶,韩颖,杨震,苗辉,殷守强. 基于温度植被干旱指数的兖州煤田煤炭开采影响边界遥感提取[J]. 农业工程学报, 2018, 34(19): 258-265
作者姓名:李晶  韩颖  杨震  苗辉  殷守强
作者单位:中国矿业大学(北京)地球科学与测绘工程学院
基金项目:国家自然科学基金资助项目(41501564)
摘    要:为识别植被覆盖区煤炭开采的生态影响边界,该文以兖州煤田为研究区域,应用温度植被干旱指数TVDI(temperature vegetation drought index)反演沉陷积水区外围的土壤湿度空间分布特征,利用MATLAB拟合TVDI变化趋势并依据其趋于稳定的渐近线,反解煤炭开采活动对矿区生态的影响边界,将其与采用MSCS(mining subsidence prediction system,MSCS)软件预计获得的下沉10 mm沉陷边界进行对比。结果表明:不同距离的TVDI中位数随距积水区边缘距离的变化表现为先增加后趋于平稳、呈指数变化特征;基于TVDI分析得到的煤炭开采的非积水影响范围,仅相当于沉陷积水面积的2.07倍,预计沉陷非积水面积与预计沉陷积水面积之比为4.63倍。通过模型拟合遥感指数随距离的变化特征,能够获得煤炭开采的影响边界;兖州煤田基于TVDI获取的煤炭开采影响面积,相对小于预计的开采沉陷面积。该研究可为确定煤炭开采对生态影响的边界提供参考。

关 键 词:遥感;生态;矿区;煤炭开采;沉陷积水区;温度植被干旱指数;土壤湿度;影响边界
收稿时间:2018-04-20
修稿时间:2018-09-06

Identification of boundary about coal-mining influence on ecology by remote sensing in Yanzhou Coalfield based on temperature vegetation drought index
Li Jing,Han Ying,Yang Zhen,Miao Hui and Yin Shouqiang. Identification of boundary about coal-mining influence on ecology by remote sensing in Yanzhou Coalfield based on temperature vegetation drought index[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(19): 258-265
Authors:Li Jing  Han Ying  Yang Zhen  Miao Hui  Yin Shouqiang
Affiliation:College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China,College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China,College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China,College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China and College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
Abstract:
Keywords:remote sensing   ecosystems   mining water area   coal mining   impounded area by mining subsidence   temperature vegetation drought index   soil moisture   influence boundary by mining
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