A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China
A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China
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DOI：
10.1080/0143116021000047901
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发表时间：
2003-01
影响因子：
3.4
通讯作者：
Chuqun Chen;P. Shi;Haigang Zhan
中科院分区：
文献类型：
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作者：
Chuqun Chen;P. Shi;Haigang Zhan
利用通用的三分量水色模式，输入珠江口实测海水组分数据，模拟海水反射率。基于模拟反射率数据和溶解有机碳（DOC）海水组分数据，建立了估算DOC浓度的局部算法。局部算法的应用表明，估算的DOC在浓度和分布模式方面与海水组分数据非常吻合。
A general three-component ocean colour model was used for simulation of water reflectance by inputting sea water component data measured in the Pearl River estuary of southern China. Based on the simulated reflectance data and Dissolved Organic Carbon (DOC) sea water component data a local algorithm for estimation of DOC concentration was developed. The application of the local algorithm shows that the estimated DOC is in close agreement in terms of concentration and distribution pattern with the sea water component data.