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Remote sensing of sea surface nutrient in the frontal zone of Changjiang diluted water and the Taiwan Warm Current
作者姓名:ZHANG Xiaoyu  LIN Yi'an  HE Xianqiang  WANG Difeng  GONG fang  ZHANG Wei
作者单位:ZHANG Xiaoyu1,LIN Yi’an2,HE Xianqiang2,WANG Difeng2,GONG fang2,ZHANG Wei11. Department of Earth Sciences,Zhejiang University,Hangzhou 310027,China 2. State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,State Oceanic Administration,Hangzhou 310012,China
基金项目:浙江省自然科学基金 , 国家高技术研究发展计划(863计划) , 长江三峡科技合作项目 , 浙江省科研项目
摘    要:Field investigation was carried out during 4 to 15 April 2001 around the Changjiang River Estuary. The similar distribution of sea surface nutrients and suspended sediment (SS) concentration is attributed to the physical mixing of Changjiang diluted water (CDW) with the Taiwan Warm Current (TWC). On the basis of the observed positive relationship between total phosphorus (TP) and SS concentration, the sea surface TP is inversed from satellite SS data. SS is believed to be an ideal eutrophic state assessing index substitution for TP, the eutrophication classification critical value of SS adopted in this research was based on the linear model: cTP=0.000 6cSSsat 0.016 3, r2=0.564 5, n=32. Although lack of in-situ chromophoric dissolved organic matter (CDOM) measurement, a good relationship was observed between the in-situ DIN (dissolved inorganic nitrogen) concentration with near real time SeaWiFS absorption coefficient of CDOM (ACD) data: cDIN=1.406 5AACBsat-0.035 9,r2=0.741 5,n=16. This empirical regression algorithm was also utilized for inversing the DIN concentration from SeaWiFS ACD data, and for establishing the eutrophication classification critical value of satellite ACD data. The established remote eutrophication classification system was later used for seawater eutrophic state assessment. The evaluation suggested that the Zhoushan Fishing Ground especially the western border is affected seriously with the nutrient input. The nutrient is mainly from the terrestrial source transported by the Changjiang River runoff. The seawater quality classification precision was assessed by in-situ data, which suggested the seawater quality distribution is similar to the two classification systems, and the remote classification error is below 25%.

关 键 词:长江流域  遥感技术  富营养状态  海洋表面
收稿时间:2006/8/30 0:00:00
修稿时间:2006-08-302007-03-01

Remote sensing of sea surface nutrient in the frontal zone of Changjiang diluted water and the Taiwan Warm Current
ZHANG Xiaoyu,LIN Yi''an,HE Xianqiang,WANG Difeng,GONG fang,ZHANG Wei.Remote sensing of sea surface nutrient in the frontal zone of Changjiang diluted water and the Taiwan Warm Current[J].Acta Oceanologica Sinica,2007,26(3):22-32.
Authors:ZHANG Xiaoyu  LIN Yi'an  HE Xianqiang  WANG Difeng  GONG fang and ZHANG Wei
Institution:1.Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China2.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
Abstract:Field investigation was carried out during 4 to 15 April 2001 around the Changjiang River Estuary. The similar distribution of sea surface nutrients and suspended sediment (SS) concentration is attributed to the physical mixing of Changjiang diluted water (CDW) with the Taiwan Warm Current (TWC). On the basis of the observed positive relationship between total phosphorus (TP) and SS concentration, the sea surface TP is inversed from satellite SS data. SS is believed to be an ideal eutrophic state assessing index substitution for TP, the eutrophication classification critical value of SS adopted in this research was based on the linear model: cTP=0.000 6cSSsat 0.016 3, r2=0.564 5, n=32. Although lack of in-situ chromophoric dissolved organic matter (CDOM) measurement, a good relationship was observed between the in-situ DIN (dissolved inorganic nitrogen) concentration with near real time SeaWiFS absorption coefficient of CDOM (ACD) data: cDIN=1.406 5AACBsat-0.035 9,r2=0.741 5,n=16. This empirical regression algorithm was also utilized for inversing the DIN concentration from SeaWiFS ACD data, and for establishing the eutrophication classification critical value of satellite ACD data. The established remote eutrophication classification system was later used for seawater eutrophic state assessment. The evaluation suggested that the Zhoushan Fishing Ground especially the western border is affected seriously with the nutrient input. The nutrient is mainly from the terrestrial source transported by the Changjiang River runoff. The seawater quality classification precision was assessed by in-situ data, which suggested the seawater quality distribution is similar to the two classification systems, and the remote classification error is below 25%.
Keywords:Changjiang River Estuary  remote sensing  nutrient inversion  eutrophic evaluation
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