Evaluating the remediation effect of heavy metal pollution in the Dexing copper mine based on hyperspectral remote sensing
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摘要: 合理快速评价矿山重金属污染修复的效果对于矿山生态恢复与重建治理工作具有重要意义。以德兴铜矿为例,根据野外实测植被光谱,分析矿区内主要植被的典型光谱特征; 根据实验室化验的植被叶片内重金属含量,分析其重金属含量与光谱特征参数红边位置的关系; 利用 2003年和2009年2景Hyperion高光谱卫星数据计算矿区植被的红边位置,推断矿区植被富集重金属的情况,进而评价矿山重金属污染修复的效果。研究结果表明,在典型复垦区1号、2号尾矿库四周重金属污染修复取得了较好的效果; 与2003年相比,2009年重金属污染修复整体上取得了一定的成效,大部分区域被修复,但仍有部分新增污染区,需采取修复措施。该方法可快速、合理、大范围地评价矿区重金属污染修复的效果。Abstract: Evaluating the remediation effect of heavy metal pollution in mines properly and rapidly holds considerable significance for ecological restoration and rehabilitation of mines. Based on the field-measured vegetation spectra, this study analyzed the typical spectral features of the main vegetation in the Dexing copper mining area. According to the heavy metal content in the leaves of vegetation tested in the laboratory, this study analyzed the relationship between heavy metal content and red edge position-a spectral characteristic parameter. This study calculated the red edge position of the vegetation in 2003 and 2009 using 2-scene Hyperion hyperspectral data, inferring the heavy metal enrichment in the vegetation of the mining area. Furthermore, this study evaluated the remediation effect of heavy metal pollution in the mining area. The results show that satisfactory results have been achieved from the remediation of heavy metal pollution around mine tailings nos. 1 and 2 in typical reclamation areas. Compared with 2003, 2009 witnessed generally satisfactory remediation effects of heavy metal pollution, with most areas being remedied and some newly polluted areas requiring remediation. The method proposed in this study can achieve a quick and reasonable evaluation of the remediation effect of large-scale heavy metal pollution in mining areas.
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