Landsat observations of total suspended solids concentrations in the Pearl River Estuary, China, over the past 36 years

被引:5
|
作者
Sun, Qiang [1 ,2 ]
Luo, Wei [3 ]
Dong, Xianzhang [4 ]
Lei, Shaohua [5 ]
Mu, Meng [6 ]
Zeng, Shuai [1 ,2 ]
机构
[1] Minist Ecol & Environm, South China Inst Environm Sci, 18 Ruihe RD, Guangzhou 510535, Peoples R China
[2] Natl Key Lab Urban Ecol Environm Simulat & Protect, Guangzhou 510535, Peoples R China
[3] Gannan Normal Univ, Sch Geog & Environm Engn, Jiangxi Prov Key Lab Low Carbon Solid Waste Recycl, Ganzhou 341000, Peoples R China
[4] Nanjing Normal Univ, Educ Minist, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China
[5] Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing 210029, Peoples R China
[6] Yancheng Teachers Univ, Sch City & Urban Planning, Yancheng 224000, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote sensing; Water quality; Spatiotemporal dynamics; Driving factors; INHERENT OPTICAL-PROPERTIES; DISSOLVED ORGANIC-MATTER; ATMOSPHERIC CORRECTION; WATER; LAKE; IMAGES; INVERSION; PATTERNS; HYPOXIA; INLAND;
D O I
10.1016/j.envres.2024.118461
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Information on long-term trends in total suspended solids (TSS) is critical for assessing aquatic ecosystems. However, the long-term patterns of TSS concentration (C-TSS) and its latent drivers have not been well investigated. In this study, we developed and validated three semi-analysis algorithms for deriving C-TSS using Landsat images. Subsequently, the long-term trends in C-TSS in the Pearl River Estuary (PRE) from 1987 to 2022 and the driving factors were clarified. The developed algorithms yielded excellent performance in estimating C-TSS, with mean absolute percentage errors <25% and root mean square errors of <13 mg/L. Long-term Landsat observations showed an overall decreasing trend and significant spatiotemporal dynamics of the C-TSS in the PRE from 1987 to 2022. The analysis of driving factors suggested that industrial sewage, cropland, forests and grasslands, and built-up land were the four potential driving forces that explained 87.81% of the long-term variation in C-TSS. This study not only provides 36-year recorded datasets of C-TSS in estuary water, but also offers new insights into the complex mechanisms that regulate C-TSS spatiotemporal dynamics for water resource management.
引用
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页数:13
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