光谱分析在植被重金属污染监测中的应用

矿产资源的开发导致环境污染日益严重,尤其足矿山废弃物中大量的重金属元素,严重污染土壤,影响了作物生长和人类健康,矿山环境污染的监测和治理成为亟待解决的一个问题.基于地物波谱特征的遥感技术,能克服传统监测方法的不足,成为环境污染监测的有力手段.并以德兴铜矿为研究区,以盐肤木为研究植被,样品采集与波谱采集同步进行,化学分析和光谱分析相互结合,建立了由光谱参数到重金属含量的回归方程和反演模型,提出了利用光谱分析技术监测重金属含量的方法,证明了高光谱遥感的光谱分析法应用在环境污染监测上的可行性.

Hyperspectral remote sensing in monitoring the vegetation heavy metal pollution

Mine exploitation aggravates the environment pollution. The large amount of heavy metal element in the drainage of slag from the mine pollutes the soil seriously, doing harm to the vegetation growing and human health. The investigation of mining environment pollution is urgent, in which remote sensing, as a new technique, helps a lot. In the present paper, copper mine in Dexing was selected as the study area and China sumac as the study plant. Samples and spectral data in field were gathered and analyzed in lab. The regression model from spectral characteristics for heavy metal content was built, and the feasibility of hyperspectral remote sensing in environment pollution monitoring was testified.