DOI: 10.1029/2018JC013756
Scopus记录号: 2-s2.0-85052506555
论文题名: Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters
作者: Zhao J. ; Cao W. ; Xu Z. ; Ai B. ; Yang Y. ; Jin G. ; Wang G. ; Zhou W. ; Chen Y. ; Chen H. ; Sun Z.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 8 起始页码: 5856
结束页码: 5873
语种: 英语
英文关键词: algorithm development
; CDOM
; FVCOM
; remote sensing
; SVM
; turbid coastal waters
英文摘要: We proposed a support vector machine (SVM) algorithm to retrieve colored dissolved organic matter (CDOM) concentration (using ag(443) as a proxy) in the highly turbid Pearl River estuary. Two band ratios, namely, Rrs(443)/Rrs(547) and Rrs(488)/Rrs(547), were used as inputs. Comparisons between the estimated and measured ag(443) illustrated high accuracy of the SVM algorithm, yielding R2s of 0.98 and 0.89, mean absolute percentage errors of 5.18% and 13.1%, and root-mean-square deviations of 0.012 and 0.034 m−1 for the training and validation data sets, respectively. The SVM algorithm was also evaluated against existing ones for the study area and gave the best accuracy with a R2 of 0.9, a mean absolute percentage error of 10.23%, and a root-mean-square deviation of 0.025 m−1. The diurnal dynamics of CDOM in the Pearl River estuary was revealed showing complicated variations and influenced by the combined effects of wind, tide, circulation, and river discharge. As for remote sensing applications, the SVM-based CDOM product exhibited great potential to trace the Pearl River plume and the satellite-derived plume area agreed well with the FVCOM model simulation result. SVM is an accurate and fast tool for retrieving CDOM concentration, especially in highly turbid estuarine coastal waters, and thus, river plume dynamics can be traced. © 2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113399
Appears in Collections: 气候减缓与适应
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作者单位: School of Marine Sciences, Sun Yat-sen University, Guangzhou, China; State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China; College of Oceanography, Hohai University, Nanjing, China; Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
Recommended Citation:
Zhao J.,Cao W.,Xu Z.,et al. Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(8)