Your browser doesn't support javascript.
loading
Landsat observations of total suspended solids concentrations in the Pearl River Estuary, China, over the past 36 years.
Sun, Qiang; Luo, Wei; Dong, Xianzhang; Lei, Shaohua; Mu, Meng; Zeng, Shuai.
Afiliação
  • Sun Q; South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou, 510535, China; National Key Laboratory of Urban Ecological Environmental Simulation and Protection, Guangzhou, 510535, China.
  • Luo W; School of Geography and Environmental Engineering, Jiangxi Provincial Key Laboratory of Low-Carbon Solid Waste Recycling, Gannan Normal University, Ganzhou, 341000, China.
  • Dong X; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, China.
  • Lei S; National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing, 210029, China.
  • Mu M; School of City and Urban Planning, Yancheng Teachers University, Yancheng, 224000, China.
  • Zeng S; South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou, 510535, China; National Key Laboratory of Urban Ecological Environmental Simulation and Protection, Guangzhou, 510535, China. Electronic address: szeng@scies.org.
Environ Res ; 249: 118461, 2024 May 15.
Article em En | MEDLINE | ID: mdl-38354886
ABSTRACT
Information on long-term trends in total suspended solids (TSS) is critical for assessing aquatic ecosystems. However, the long-term patterns of TSS concentration (CTSS) and its latent drivers have not been well investigated. In this study, we developed and validated three semi-analysis algorithms for deriving CTSS using Landsat images. Subsequently, the long-term trends in CTSS in the Pearl River Estuary (PRE) from 1987 to 2022 and the driving factors were clarified. The developed algorithms yielded excellent performance in estimating CTSS, 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 CTSS 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 CTSS. This study not only provides 36-year recorded datasets of CTSS in estuary water, but also offers new insights into the complex mechanisms that regulate CTSS spatiotemporal dynamics for water resource management.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Estuários / Rios País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Estuários / Rios País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article