Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China)

Guangjia Jiang; Ronghua Ma; Steven A Loiselle; Hongtao Duan; Wen Su; Weixu Cai; Chuguang Huang; Jie Yang; Wei Yu

doi:10.1016/j.scitotenv.2015.05.120

Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China)

Sci Total Environ. 2015 Nov 1:532:245-54. doi: 10.1016/j.scitotenv.2015.05.120. Epub 2015 Jun 14.

Authors

Guangjia Jiang¹, Ronghua Ma², Steven A Loiselle³, Hongtao Duan⁴, Wen Su⁵, Weixu Cai⁶, Chuguang Huang⁷, Jie Yang⁸, Wei Yu⁹

Affiliations

¹ State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; China South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China. Electronic address: gjjiang2011@gmail.com.
² State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China. Electronic address: rhma@niglas.ac.cn.
³ Dipartimento Farmaco Chimico Tecnologico, CSGI, University of Siena, Siena, Italy. Electronic address: steven.loiselle@unisi.it.
⁴ State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China. Electronic address: htduan@niglas.ac.cn.
⁵ South China Sea Marine Engineering and Environment Institute, State Oceanic Administration, Guangzhou 510310, China. Electronic address: gjjiang@niglas.ac.cn.
⁶ China South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China. Electronic address: guangjiajiang@gmail.com.
⁷ China South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China. Electronic address: jgj-030106@163.com.
⁸ China South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China. Electronic address: RHMANIGLAS@gmail.com.
⁹ China South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China. Electronic address: 312344634@qq.com.

PMID: 26081727
DOI: 10.1016/j.scitotenv.2015.05.120

Abstract

A two step approach was developed to estimate POC concentrations in a shallow eutrophic lake, where dissolved carbon and inorganic particulate matter strongly influence optical properties. The approach was based on the identification of a co-variability of POC concentrations with one or more inherent optical properties (IOPs). In the present case, a relationship between POC and absorption at 620 nm was identified and was combined with a reflectance based algorithm for case II waters. Compared with other published POC algorithms, this approach provided better estimates over a wide range of POC concentrations in two hypereutrophic lake waters with the predominance of cyanobacteria (R(2) > 0.80). While it is unlikely that a single POC algorithm can be created that is independent of the variability of POC sources, this approach allows for a common method to identify appropriate algorithms with which POC dynamics can be explored.

Keywords: Carbon dynamics; Case II waters; Inherent optical properties; POC.

Publication types

Research Support, Non-U.S. Gov't