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题名: THE POSSIBILITY ON ESTIMATION OF CONCENTRATION OF HEAVY METALS IN COASTAL WATERS FROM REMOTE SENSING DATA
作者: Chen, CQ ; Liu, FF ; He, QJ ; Shi, HY
会议文集: 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
出版日期: 2010-01-01
关键词: Heavy metals ; Remote sensing reflectance of water ; Symbolic regression ; Pearl River estuary
通讯作者: cqchen@scsio.ac.cn
会议网址: 查看原文
收录类别: sci
部门归属: [Chen, Chuqun; Liu, Fenfen; He, Quanjun] Chinese Acad Sci, S China Sea Inst Oceanog, LED, Guangzhou 510300, Guangdong, Peoples R China
项目归属: LED
摘要: The heavy metals in waters cannot be decomposed but can be transferred and accumulated with food chains. Many heavy metals are toxic to human beings. It is very important to measure concentration of heavy metals in coastal waters for water quality research, monitoring, and environmental management. On consideration of geochemistry behavior of heavy metals, their distribution is related with water components which determined waters' optical properties. The in-situ remote sensing reflectance data and heavy metal concentration data at 48 sampling points collected from three cruises in the Pearl River estuary were analysed. For single band among all the 57 bands ranging from 365 to 935 nm, the band centered at 711 nm (B-711) has highest correlation coefficient (R=0.51) with concentration of both Cu and Zn. The band ratio, B-711/B-406 has the highest correlation coefficient with Cu (R=0.749), and band ration, B-711/B-416 has the highest correlation coeficient with Zn (R=0.804). The band and band ratio were employed for algorithm development using the symbolic regression method, and the results showed the possiblity to retrieve concentration of heavy metal from remotely-sensed data.
内容类型: 会议论文
URI标识: http://ir.scsio.ac.cn/handle/344004/6175
Appears in Collections:热带海洋环境动力学重点实验室(LED)_会议论文

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Recommended Citation:
Chen, CQ; Liu, FF; He, QJ; Shi, HY.THE POSSIBILITY ON ESTIMATION OF CONCENTRATION OF HEAVY METALS IN COASTAL WATERS FROM REMOTE SENSING DATA,2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,2010,():4216-4219
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