首页 | 本学科首页   官方微博 | 高级检索  
     

基于光谱分析的重金属污染废水遥感监测方法
引用本文:崔伟,马晓勇. 基于光谱分析的重金属污染废水遥感监测方法[J]. 环境监测管理与技术, 2022, 34(3): 53-56
作者姓名:崔伟  马晓勇
作者单位:山西省生态环境监测和应急保障中心(山西省生态环境科学研究院)
基金项目:山西省科技厅山西省省属科研条件质量提升专项“山西能源基地生态环境遥感实验室” 基金资助项目(0922017SYFZ03446)
摘    要:以某重金属矿区3个水域(a、b、c)作为研究区,采集Aster卫星传感器的遥感监测数据,再运用分光辐射光谱仪测定标准板与目标水体,计算目标水体的光谱反射率,分析各区域水体遭受重金属污染时的光谱反射特征,实现基于光谱分析的重金属污染废水遥感监测。结果表明:a区域内水体重金属污染程度由深水区向浅水区逐步增强,水体呈现出橙红色;b区域内水体重金属污染程度由浅水区向深水区逐步增强,水体呈现为棕红色;c区域内水体未受到重金属污染,整个区域内水体为铜绿色。该结果与现场采集的各区域水体遭受重金属污染的情况一致。

关 键 词:重金属;遥感监测;光谱分析;光谱反射率;遥感数据;废水

Remote Sensing Monitoring Method for Heavy Metal Polluted Wastewater Based on Spectral Analysis
Abstract:Taking three water bodies (a, b, c) in a heavy metal mining area as the study region, the remote sensing monitoring data from Aster satellite sensor was collected, the standard plate and the target water bodies were measured by spectroradiometer, the spectral reflectance of the target water bodies was calculated to analyze the spectral reflection characteristics of regional water bodies subjected to heavy metal pollution, and realize the remote sensing monitoring of heavy metal polluted wastewater based on spectral analysis. The results showed that the heavy metal pollution degree in area a gradually increased from deep water to shallow water, and the water body was orange-red. In area b, the degree of heavy metal pollution gradually increased from shallow water to deep water, and the water was brownish red. The water in area c was not polluted by heavy metals, and the water in the whole area was copper-green. The results were consistent with the situation of heavy metal pollution in each water body collected on site.
Keywords:Heavy metal   Remote sensing monitoring   Spectral analysis   Spectral reflectance   Remote sensing data   Wastewater
点击此处可从《环境监测管理与技术》浏览原始摘要信息
点击此处可从《环境监测管理与技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号