基于HJ-1遥感数据的矿区水体污染监测与分析——以龙岩紫金山金铜矿为例

Monitoring and Analyzing of Water Quality Based on HJ-1 Satellite Remote Sensing Data

矿产资源的持续开采与加工利用使得矿区周边水资源受到的污染日趋严重,急需采用先进技术对水污染进行监测分析,遥感技术是水环境监测最为有效的技术之一。利用国产环境一号小卫星多光谱遥感影像数据,针对福建省龙岩市紫金山矿区不同时相的数据进行水质遥感监测。利用近红外单波段阈值分割法提取悬浮物浓度信息,基于矿区酸碱性水体光谱曲线特性采用342波段假彩色合成影像,采用SVM分类方法进行分类,判别矿区水体酸碱性以及分析水体受污染程度变化和污染源。结果表明,研究区汀江水体2008年呈现碱性,2010年呈现弱碱性,水质在研究时段内得到一定的改善,但在选矿厂与矿区附近的水体中仍含有大量重金属沉积物。

Because of the exploitation of mineral resources, water pollution surrounding mine area has become increasingly serious. In this paper, HJ-t remote sensing images captured on 2008 and 2010 were selected to investigate the water quality of a mining area. Infrared band was used to extract suspended sediment concentration by threshold segmentation, and water pollution types and pollution source were distinguished through false color composition image and classification. Tingjiang river was alkalinity, and in 2010 was alkalescency. Between the period of 2008 to 2010, the water quality has been improved; however Tingjiang river still contains a lot of heavy metal sediments.