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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.DOI:10.11975/j.issn.1002-6819.2018.19.033
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
投稿时间:2018-04-20  修订日期:2018-09-06
中文关键词:  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
基金项目:国家自然科学基金资助项目(41501564)
作者单位
李晶 中国矿业大学(北京)地球科学与测绘工程学院北京 100083 
韩颖 中国矿业大学(北京)地球科学与测绘工程学院北京 100083 
杨震 中国矿业大学(北京)地球科学与测绘工程学院北京 100083 
苗辉 中国矿业大学(北京)地球科学与测绘工程学院北京 100083 
殷守强 中国矿业大学(北京)地球科学与测绘工程学院北京 100083 
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中文摘要: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。
Li Jing,Han Ying,Yang Zhen,Miao Hui,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 (Transactions of the CSAE),2018,34(19):258-265.DOI:10.11975/j.issn.1002-6819.2018.19.033
Identification of boundary about coal-mining influence on ecology by remote sensing in Yanzhou Coalfield based on temperature vegetation drought index
Author NameAffiliation
Li Jing College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China 
Han Ying College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China 
Yang Zhen College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China 
Miao Hui College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China 
Yin Shouqiang College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China 
Key words:remote sensing  ecosystems  mining water area  coal mining  impounded area by mining subsidence  temperature vegetation drought index  soil moisture  influence boundary by mining
Abstract: How to determine the ecological impact boundary of coal mining is one of the difficulties in the research field of land ecology in mining areas. For a long time, surface subsidence depth of 10 mm is generally used as the coal mining disturbance boundary not only to the developed land but also to the vegetation-covered land in the academic research and planning practice. Land reclamation is still bounded by the subsidence contour with the expected surface subsidence depth of 10 mm as the boundary. In fact, many scholars and other professionals have realized that 10 mm sinking is not adaptable as the boundary of mining influence on land ecology. Our research goal was to find a remote sensing method to identify mining impact boundary, which could be used to evaluate ecological accumulating effect of coal mining on vegetated area. Yanzhou coal field, a typical coal mine area with high groundwater level in the eastern China, was taken as the study area, where the coal mining has caused a lot of impounded water areas, and the spatial distribution characteristics of the temperature vegetation drought index (TVDI), which is linear with soil moisture, were analyzed. Then the influence boundary of mining subsidence on soil moisture was determined, and the difference between the influence boundary using TVDI spatial changing tendency and the expected surface subsidence of 10 mm was analyzed. Firstly, the authors calculated TVDI and found it was mainly concentrated in the range of 0.2-0.6, which meant soil moisture levels were mainly “normal” and “slight drought”. The areas belonging to “normal” level and “slight drought” accounted for 45.17% and 40.09% of the whole study area respectively. Secondly, the authors tried to obtain the influence boundary of soil moisture and analyzed the spatial distribution characteristics of TVDI from the edge of the impounded water area by mining subsidence. The impounded water areas i.e. A, B, C, D, F, G and H were taken as the research objects and the different distance ranges from the edge of the impounded water area were divided. With the increase of the distance from the edge of the impounded water area, the median TVDI value increased and then tended to be stable. Due to the differences in coal seam, mining methods and processes, the influence range of coal mining on soil moisture varied in different subsided areas. The authors proposed an exponential model to identify the mining influence boundary, in which the value of asymptotic line was defined as the disturbed boundary. Study results showed that TVDI stable value in each impounded water area is between 0.38 and 0.43. Fitting TVDI value with exponential function, it could be found that the correlation coefficients are greater than 0.60, and the mean square root errors are less than 0.02. The impounded water area H is fragmented, irregular and has strong internal spatial interaction, which has the largest influence distance reaching 781 m. Finally, the ecological disturbance range of coal mining based on TVDI extraction method was expected to be smaller than subsidence depth boundary, namely 10 mm. The paper?s innovation is to propose a new method to identify the mining influence boundary, which is the theoretical boundary is the asymptotic line of ecological index changing from the edge of impounded water area to the unmined area by increased disturbance range.
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