The Spectral Characteristic Analysis of Typical Heavy Metal Polluted Water——a Case Study of Mine Drainage in Dabaoshan Mountain, Guangdong Province, China
典型重金属污染水体光谱特征分析——以广东省大宝山尾矿水为例
作者: LIANG Ye-hengDENG Ru-ruHUANG Jing-lanXIONG Long-haiQIN YanLIU Zhu-ting
作者单位: 11. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China2. Guangdong Engineering Research Center of Water Environment Remote Sensing Monitoring, Guangzhou 510275, China3. Xinhua College of Sun Yat-sen University, Guangzhou 510520, China4. Guangdong Environmental Monitoring Center, Guangzhou 510308, China
刊名: 光谱学与光谱分析, 2019, Vol.39 (10), pp.3237-3244
来源数据库: PubMed Journal
DOI: 10.3964/j.issn.1000-0593(2019)10-3237-08
关键词: Heavy metal polluted waterReflectance spectrumAbsorption spectrumSpectral characteristic analysisRemote sensing of heavy metal in water
中文关键词: 水体重金属污染反射率光谱吸收光谱光谱特征分析水体重金属遥感
中文摘要: ...
原始语种摘要: At present, the research on remote sensing inversion of heavy metal in water is still relatively weak, therefore the study on the spectral characteristic of heavy metal polluted water in nature is an important basic work, which is an important theoretical basis for the band selection when realizing the remote sensing inversion, and the measuring results are also the important parameters necessary for the remote sensing inversion model in the future. Firstly, using Analytical Spectral Devices (ASD) spectrometer, measuring the water-leaving reflectance spectrum curve of mine drainage of Dabaoshan Mountain as an example of typical heavy metal polluted water under two different water depths and light conditions, we found that there was a stable reflection peak in 600~700 nm (red light). Then...
全文获取路径: PDF下载  PubMed  (合作)
分享到:

×
关键词翻译
关键词翻译
  • metal 金属
  • polluted 被污染的
  • heavy 重大的
  • water 
  • characteristic 特有的
  • China 中国
  • absorption 吸收
  • spectrum 光谱
  • coefficient 系数
  • reflection 反射