富营养化水体颗粒有机碳浓度的遥感估算及动态变化特征  

Remote estimation and temporal-spatial variability of particulate organic carbon concentrations in eutrophic inland water

作　　者：姜广甲[1,2] 苏文[3] 马荣华[2] 段洪涛[2] 蔡伟叙[1] 黄楚光[1] 阳杰[1] 余威[1] 

机构地区：[1]国家海洋局南海环境监测中心,广东广州510300 [2]中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,江苏南京210008 [3]国家海洋局南海海洋工程勘察与环境研究院,广东广州510310

出　　处：《红外与毫米波学报》2015年第2期203-210,共8页Journal of Infrared and Millimeter Waves

基　　金：湖泊与环境国家重点实验室开放基金项目(2014SKL006);国家863计划课题(2014AA06A509);国家自然科学重点基金(41431176);研究所一三五重点突破课题(ZDTP20140203)~~

摘　　要：基于2011年5次太湖水体现场测量数据,分析富营养化水体颗粒有机碳（POC）对遥感反射比的影响,构建了POC含量的遥感定量估算模型,并结合MERIS遥感影像资料,揭示了太湖水体POC浓度的时空变化特征.结果表明,太湖水体中的POC对560~709 nm波段范围内的遥感反射比影响显著;基于海洋水环境特征构建的POC浓度遥感估算模型不适于太湖水体;通过分析富营养化水体的光学特性以及POC对遥感反射比的影响,发现MERIS传感器红（620 nm）、近红外（709 nm）波段遥感反射比的比值与POC浓度具有较好的相关关系（R2=0.75,n=132,RMSE=33.27%,P〈0.05）,适于太湖水体POC浓度的遥感估算.Based on five filed cruises in 2011 from Taihu Lake, the effect of particulate organic carbon （POC） assem- bles on remote sensing reflectance of water was performed to develop a new POC estimation algorithm for eutrophic in- land waters. The optical model was used with monthly MERIS data to assess the temporal and spatial variability of sur- face POC reservoirs in Taihu Lake. The results demonstrated that the particulate organisms highly controlled the remote sensing reflectance of water in the range of 560 ~ 709 nm in this lake. The approaches from ocean color did not provide good estimates of POC concentrations in Taihu Lake, a more optically complex water dominated by inorganic detritus. By investigating the optical properties of the eutrophic water, we found that POC was distinctly correlated to the remote sensing reflectance ratio （ Rrs （ 620 ）/Rrs （ 709 ） ） with high R2 = 0.75 and low RMSE = 33.27 % , the correlation of which provided a good estimate of POC concentrations in Taihu Lake.

关 键 词：太湖 POC 碳循环 叶绿素A Ⅱ类水体 

分 类 号：X87[环境科学与工程—环境工程]