基于半分析算法的香港邻近海域叶绿素a浓度反演  

A semi-analytical algorithm to retrieve chlorophyll-a concentrations in the coastal region of Hong Kong and its vicinity

作　　者：席红艳[1] 张渊智[1] 丘仲锋[2] 何宜军[2] 简伟军 

机构地区：[1]香港中文大学太空与地球信息科学研究所,中国香港 [2]中国科学院海洋研究所,青岛266071 [3]深港产学研基地海岸与大气重点实验室,深圳518057

出　　处：《湖泊科学》2009年第2期199-206,共8页Journal of Lake Sciences

基　　金：国家自然科学基金(40801137);湖泊与环境国家重点实验室开放基金项目联合资助

摘　　要：为进一步了解香港近海水体特性及监测其水质状况,根据2001年3-5月在香港临近海域调查取得的实测资料,对该海域水体光谱进行解析,开发该海域叶绿素a浓度与色素吸收系数aph(675)的经验模型,具有较高相关性;用剖面数据外推及水体光谱模拟方法完成对水下表面遥感反射率光谱的推导;进而建立反演低浓度区叶绿素a浓度的半分析算法,反演结果与实测值比较平均相对误差为45%,均方根差0.933,相关系数0.78,误差主要来源于外推演算及散射模型.结果表明该算法在低悬浮物低叶绿素浓度区域有一定适用性.Based on the in-situ data collected around Hong Kong sea area and its vicinity from March to May in 2001, spectral characteristics of water color components are analyzed. For establishing retrieval algorithm, the empirical mode between chlorophyll-a concentrations （Chl.a） and phytoplankton pigment absorption coefficients aph（675） is developed with a significant correlation. Relationship between total suspended matter concentrations （TSM） and de-pigment absorption coefficients ad（440） is calculated. Underwater data which contain apparent optical property spectra are used to extrapolate water remote sensing reflectance （rrs）. A semi-analytical algorithm is developed to retrieve Chl.a which is compared with in-situ measurements lastly. The mean relative error is 45%, the correlation coefficient is 0.78, and the root mean standard error is 0.933. Results show that the algorithm is suitable for the study area with low concentrations of TSM and chlorophyll-a.

关 键 词：香港近海 半分析算法 叶绿素A 

分 类 号：X834[环境科学与工程—环境工程]