Remotely sensed assessment of water quality levels in the Pearl River Estuary, China

被引:53
|
作者
Chen, Chuqun [1 ]
Tang, Shiling
Pan, Zhilin
Zhan, Haigang
Larson, Magnus
Jonsson, Lennart
机构
[1] Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab trop Marine Environm Dynam, Guangzhou 510300, Peoples R China
[2] Lund Univ, Dept Water Resources Engn, Lund, Sweden
关键词
remote sensing; assessment; water quality level; pearl river estuary;
D O I
10.1016/j.marpolbul.2007.03.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, a method of assessing water quality from satellite data is introduced. The composite pollution index (CPI) was calculated from measured chemical oxygen demand (COD) and nutrient concentration. The relationships between CPI and 240 band combinations of SeaWiFS water-leaving radiance were analyzed and the optimal band combination for estimating CPI was chosen from the 240 band combinations. An algorithm for retrieval of CPI was developed using the optimal band combination, (L-443 x L-510)/ (L-412 + L-490). The CPI was estimated from atmospherically corrected SeaWiFS data by employing the algorithm. Furthermore, the CPI value range for each water quality level was determined based on data obtained from 850 samples taken in the Pearl River Estuary. The remotely sensed CPIs were then transferred to water quality levels and appropriate maps were derived. The remotely sensed water quality level maps displayed a similar distribution of levels based on in situ investigation issued by the State Ocean Administration, China. This study demonstrates that remote sensing can play an important role in water quality assessment. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1267 / 1272
页数:6
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