title: [Estimation of DOC concentrations using CDOM absorption coefficients: a case study in Taihu Lake].
abstract: Dissolved organic carbon (DOC) is the largest organic carbon stock in water ecosystems, which plays an important role in the carbon cycle in water. Chromophoric dissolved organic matter (CDOM), an important water color variation, is the colored fraction of DOC and its absorption controls the instruction of light under water. The available linkage between DOC concentration and CDOM absorptions enables the determination of DOC accumulations using remote sensing reflectance or radiance in lake waters. The present study explored the multi-liner relationship between CDOM absorptions [a(g) (250) and a(g) (365)] and DOC concentrations in Taihu Lake, based on the available data in 4 cruises (201005, 201101, 201103, 201105) (totally 183 sampling sites). Meanwhile, the results were validated with the data of the experiment carried out from August 29 to September 2, 2011 in Taihu Lake (n = 27). Furthermore, a universal pattern of modeling from remote sensing was built for lake waters. The results demonstrated that this method provided more satisfying estimation of DOC concentrations in Taihu Lake. Except the data obtained in January 2011, the fitted results of which were not conductive to the winter dataset (201101) in Taihu Lake, due to the diverse sources and sinks of DOC and CDOM, the multi-liner relationship was robust for the data collected in the other three cruises (R2 = 0.64, RMSE = 14.31%, n = 164), which was validated using the 201108 sampling dataset (R2 = 0.67, RMSE = 10.58%, n = 27). In addition, the form of the statistic model is universal, to some extent, for other water areas, however, there is difference in the modeling coefficients. Further research should be focused on the parameterization using local data from different lakes, which provides effective methodology for the estimation of DOC concentrations in lakes and other water regions.
authors.affiliation: State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China. gjjiang@niglas.ac.cn
authors.forename: Guang-Jia
authors.initials: GJ
authors.lastname: Jiang
authors.forename: Rong-Hua
authors.initials: RH
authors.lastname: Ma
authors.forename: Hong-Tao
authors.initials: HT
authors.lastname: Duan
mesh_terms: D002244:Carbon / Q000032:analysis*; D002681:China; D003116:Color; D004784:Environmental Monitoring / Q000379:methods*; D060106:Lakes / Q000737:chemistry*; D008962:Models, Theoretical; D055620:Optical Phenomena; D009930:Organic Chemicals / Q000032:analysis*; D058998:Remote Sensing Technology; D014867:Water / Q000737:chemistry*
chemical_list: D009930:Organic Chemicals; D014867:Water; D002244:Carbon