Eutrophication Assessment Revealed by the Distribution of Chlorophyll-a in the South China Sea

Chlorophyll-a is a key indicator characterizing the health of marine ecosystems. This study aimed to assess eutrophication risk by investigating the spatio-temporal evolution of chlorophyll-a in the South China Sea (SCS). Based on MODIS-Aqua remote sensing data from 2003 to 2024, five spatial interpolation methods were compared, and Ordinary Kriging was selected as the optimal method (r = 0.96) for reconstructing the chlorophyll-a distribution. The findings indicate that chlorophyll-a is higher in winter and autumn than in summer and spring, with significant enrichment observed near coastal areas. Concentrations decrease with increasing distance from the shore. The Mekong River estuary consistently exhibits high values, while the concentration in the SCS Basin remains persistently low. Furthermore, the spatial extent where chlorophyll concentrations exceed the bloom threshold was evaluated to highlight potential eutrophication risk. These results provide a scientific basis for understanding the response mechanism of the SCS ecosystem to climate change and have important implications for regional marine environmental management and ecological conservation.

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Publication Details

Journal
Remote Sensing
Published
2025-10-09
DOI
https://doi.org/10.3390/rs17193388
Citations
1
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
1.11

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article

Eutrophication Assessment Revealed by the Distribution of Chlorophyll-a in the South China Sea

Bingtian Li, Dong Jiang, Zhichao Cai, Guowei Liu et al.
1 citations
Remote Sensing
Marine and fisheries research
1.11
article

Eutrophication Assessment Revealed by the Distribution of Chlorophyll-a in the South China Sea

Bingtian Li, Dong Jiang, Zhichao Cai, Guowei Liu, Jun Wu, Jing Lv
article en
1 citations

Abstract

Chlorophyll-a is a key indicator characterizing the health of marine ecosystems. This study aimed to assess eutrophication risk by investigating the spatio-temporal evolution of chlorophyll-a in the South China Sea (SCS). Based on MODIS-Aqua remote sensing data from 2003 to 2024, five spatial interpolation methods were compared, and Ordinary Kriging was selected as the optimal method (r = 0.96) for reconstructing the chlorophyll-a distribution. The findings indicate that chlorophyll-a is higher in winter and autumn than in summer and spring, with significant enrichment observed near coastal areas. Concentrations decrease with increasing distance from the shore. The Mekong River estuary consistently exhibits high values, while the concentration in the SCS Basin remains persistently low. Furthermore, the spatial extent where chlorophyll concentrations exceed the bloom threshold was evaluated to highlight potential eutrophication risk. These results provide a scientific basis for understanding the response mechanism of the SCS ecosystem to climate change and have important implications for regional marine environmental management and ecological conservation.

Remote SensingVol. 17(19)
Civil Aviation University of China (CN), Shandong University of Science and Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 19%
Marine and fisheries research
1.11
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Eutrophication Assessment Revealed by the Distribution of Chlorophyll-a in the South China Sea — Bingtian Li, Dong Jiang, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS