A hybrid remote sensing approach for estimating chemical oxygen demand concentration in optically complex waters: A case study in inland lake waters in eastern China

被引:24
作者
Cai, Xiaolan [1 ]
Li, Yunmei [1 ]
Lei, Shaohua [2 ]
Zeng, Shuai [1 ]
Zhao, Zhilong [1 ]
Lyu, Heng [1 ]
Dong, Xianzhang [1 ]
Li, Junda [1 ]
Wang, Huaijing [1 ]
Xu, Jie [3 ]
Zhu, Yuxin [1 ]
Wu, Luyao [1 ]
Cheng, Xin [1 ]
机构
[1] Nanjing Normal Univ, Jiangsu Ctr Collaborat Invocat Geog Informat Resou, Sch Geog, Key Lab Virtual Geog Environm,Educ Minist, Nanjing 210023, Peoples R China
[2] Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210029, Peoples R China
[3] Minist Ecol Environm, Yangtze River Basin Ecol Environm Supervis & Adm B, Yangtze River Basin Ecol Environm Monitoring & Sci, Wuhan 430010, Peoples R China
基金
中国国家自然科学基金;
关键词
Chemical oxygen demand; Remote sensing; Hybrid approach; Quasi -analytical algorithm; Sentinel-3A; OLCI; DISSOLVED ORGANIC-MATTER; QUASI-ANALYTICAL ALGORITHM; TOTAL SUSPENDED MATTER; LONG-TERM; QUALITY; TAIHU; FLUORESCENCE; COLOR; INVERSION; BROWNIFICATION;
D O I
10.1016/j.scitotenv.2022.158869
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Chemical oxygen demand concentration (CCOD) is widely used to indicate the degree of organic pollution of lakes, res-ervoirs and rivers. Mastering the spatiotemporal distribution of CCOD is imperative for understanding the variation mechanism and controlling of organic pollution in water. In this study, a hybrid approach suitable for Sentinel 3A/ Ocean and Land Colour Instrument (OLCI) data was developed to estimate CCOD in inland optically complex waters embedding the interaction between CCOD and the absorption coefficients of optically active constituents (OACs). Based on in-situ sampling in different waters, the independent validations of the proposed model performed satisfac-torily in Lake Taihu (MAPE = 23.52 %, RMSE = 0.95 mg/L, and R2 = 0.81), Lake Qiandaohu (MAPE = 21.63 %, RMSE = 0.50 mg/L and R2 = 0.69), and Yangtze River (MAPE = 29.34 %, RMSE = 0.83 mg/L, and R2 = 0.64). In addition, the approach not only showed significant superiority compared with previous algorithms, but also was suitable for other common satellite sensors equipped same or similar bands. The hybrid approach was applied to OLCI images to retrieve CCOD of Lake Taihu from 2016 to 2020 and reveals substantial interannual and seasonal var-iations. The above results indicate that the proposed approach is effective and stable for studying spatiotemporal dy-namic of CCOD in optically complex waters, and that satellite-derived products can provide reliable information for lake water quality management.
引用
收藏
页数:11
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