Assessing the Impacts of Marine Ranching Construction on Water Quality and Fishery Resources in Adjacent Coastal Waters

This paper aims to explore the impact of marine ranching construction on water quality and fishery resources in the surrounding marine areas. Utilizing in situ water quality and fishery resource data collected before and after the establishment of marine ranching, the study analyzes changes in water quality parameters from both temporal and spatial perspectives. A quantitative evaluation of the water quality data is conducted using several models to assess the accuracy of different evaluation methods. By integrating the SHAP algorithm with physical significance, the study examines the differences between optically sensitive and non-optically sensitive water quality parameters during the machine learning evaluation process. Finally, based on the inverted water quality data, the potential impact range and resource output following the deployment of artificial reefs are investigated. The results indicate that in the marine area near Wailingding Island, Zhuhai, the deployment of artificial reefs with a volume of 38,048 cubic meters led to an increase in fishery resources by 318 kg/km2 in spring and 660 kg/km2 in autumn. Additionally, deployment had varying degrees of impact on the concentrations of chlorophyll a (Chla), dissolved oxygen (DO), chemical oxygen demand (COD), and phosphate (PO4-P) in the surface water within an approximate range of 10 km. This study provides a valuable reference for calculating input–output ratios, as well as for the management and evaluation of marine ranching.

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Publication Details

Journal
Remote Sensing
Published
2025-09-10
DOI
https://doi.org/10.3390/rs17183140
Citations
1
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
2.42
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article

Assessing the Impacts of Marine Ranching Construction on Water Quality and Fishery Resources in Adjacent Coastal Waters

Pimao Chen, Huarong Yuan, Zhangbin Liu, Xue Feng et al.
1 citations
Remote Sensing
Coastal and Marine Management
2.42
article

Assessing the Impacts of Marine Ranching Construction on Water Quality and Fishery Resources in Adjacent Coastal Waters

Pimao Chen, Huarong Yuan, Zhangbin Liu, Xue Feng, Lei Zhang, Yuxiang Chen, Fei Tong, Jianqu Chen, Changyuan Guo, Jian Zhang
article en
1 citations

Abstract

This paper aims to explore the impact of marine ranching construction on water quality and fishery resources in the surrounding marine areas. Utilizing in situ water quality and fishery resource data collected before and after the establishment of marine ranching, the study analyzes changes in water quality parameters from both temporal and spatial perspectives. A quantitative evaluation of the water quality data is conducted using several models to assess the accuracy of different evaluation methods. By integrating the SHAP algorithm with physical significance, the study examines the differences between optically sensitive and non-optically sensitive water quality parameters during the machine learning evaluation process. Finally, based on the inverted water quality data, the potential impact range and resource output following the deployment of artificial reefs are investigated. The results indicate that in the marine area near Wailingding Island, Zhuhai, the deployment of artificial reefs with a volume of 38,048 cubic meters led to an increase in fishery resources by 318 kg/km2 in spring and 660 kg/km2 in autumn. Additionally, deployment had varying degrees of impact on the concentrations of chlorophyll a (Chla), dissolved oxygen (DO), chemical oxygen demand (COD), and phosphate (PO4-P) in the surface water within an approximate range of 10 km. This study provides a valuable reference for calculating input–output ratios, as well as for the management and evaluation of marine ranching.

Remote SensingVol. 17(18)
Hokkaido University of Science (JP), NOAA National Marine Fisheries Service (US), Kyushu University (JP), China Meteorological Administration (CN), Hokkaido University (JP), Ministry of Agriculture and Rural Affairs (CN), Shanghai Ocean University (CN), Chinese Academy of Fishery Sciences (CN)
Openalex Percentile: Top 9%
Coastal and Marine Management
2.42
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