考虑原始地形的采煤沉陷积水范围确定方法

    Demarcation of coal mining subsidence waterlogged area based on original topography

    • 摘要: 高潜水位矿区采煤沉陷后,将导致大面积积水,给当地的生态环境、工农业生产以及人民生活带来了严重影响。目前土地复垦方案编制过程中需要对未来沉陷积水范围进行预测,常规做法是根据预计的下沉等值线和当地潜水位埋深确定采煤沉陷后的积水范围,由于没有考虑原始地形的影响,通过这种简单预测所获得的积水范围往往与实际积水范围有所差异。本文利用GIS提供的空间分析功能,将原始地形纳入地表沉陷分析中确定了煤炭开采后地面将出现的积水区域范围,并通过高分辨率遥感影像获取实际积水信息,对以上两种方法确定的沉陷积水范围进行了精度对比分析。研究结果表明:考虑原始地形后确定的沉陷积水范围与传统未考虑原始地形方法相比,其面积相对精度提高了约13%,位置精度也由传统方法的106提高到58,因此考虑原始地形确定沉陷积水范围的方法更加科学合理,且更贴近于实际情况,这将为采煤沉陷地复垦规划与方案提供精确的基础数据,从而促进复垦工作的实施与开展。

       

      Abstract: In high ground water level region,large amount of land will submerge into water after underground coal mining which will seriously impact the eco-environment,industrial and agricultural production,and people's daily lives.Currently,when designing land reclamation,it needs to demarcate subsidence waterlogged region in the future.Traditional method usually bases on the subsidence equivalent curves and local ground water table.Since the original topography hasn't been taken into consideration,big deviation will emerge when compared to the real situation.So making good use of special analysis function provided by Geography Information System (GIS),this paper integrates original terrain into the analysis of surface mining subsidence.According to the analysis above and ground water table in the mining area,waterlogged area is finally delineated.In order to demonstrate the superiority-inferiority of these two different methods,the information of real waterlogged area is extracted based on high-resolution Remote Sensing image.The result shows that the area accuracy of considering original topography method is 13% higher than that of traditional demarcating method.Meanwhile,the position accuracy increases to 58 from 106 in traditional method.Thus,the method of considering original topography is more scientific and reasonable,and closer to actual circumstance.This research would provide precise data for coal mining subsidence reclamation plan and improve its implementation in field

       

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