Biological methods for mariculture wastewater treatment: Current status, development, and prospects

Abstract The wastewater from mariculture is characterized by low levels of potential pollutants and nutrient loads compared with industrial effluents. However, with elevated nitrogen and phosphorus ratios, the presence of persistent antibiotics, and endocrine‐disrupting compounds at ecologically relevant concentrations, mariculture wastewater can cause chronic and serious harm to the marine environment, including elevated nutrient load of the water body and a polluted ecosystem. Physical, chemical, and biological methods can be used to treat mariculture wastewater. Among them, physical and chemical methods have certain limitations, such as high cost and generating secondary pollutants. In contrast, biological methods are environmentally friendly, while a comprehensive summary of biological methods for mariculture wastewater treatment is limited. To fill this knowledge gap, we summarize basic principles and recent progress of biological treatment techniques for mariculture wastewater. Microbial technology and plant treatment technology are the most effective techniques for mariculture wastewater treatment. Multiple technique coupling processes, such as bacteria‐algae and membrane‐biofilm systems, are future trends in treating mariculture wastewater for discharge or recycle, which need further investigations.

Authors

Institutions

Publication Details

Journal
Environmental Progress & Sustainable Energy
Published
2025-09-25
DOI
https://doi.org/10.1002/ep.70128
Citations
1
Primary Topic
Aquaculture Nutrition and Growth
Type
article
Field-Weighted Citation Impact
2.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological methods for mariculture wastewater treatment: Current status, development, and prospects

Hui Jia, Yue Wang, Jie Wang, Chenyun An et al.
1 citations
Environmental Progress & Sustainable Energy
Aquaculture Nutrition and Growth
2.27
article

Biological methods for mariculture wastewater treatment: Current status, development, and prospects

Hui Jia, Yue Wang, Jie Wang, Chenyun An, Mengke Geng
article en
1 citations

Abstract

Abstract The wastewater from mariculture is characterized by low levels of potential pollutants and nutrient loads compared with industrial effluents. However, with elevated nitrogen and phosphorus ratios, the presence of persistent antibiotics, and endocrine‐disrupting compounds at ecologically relevant concentrations, mariculture wastewater can cause chronic and serious harm to the marine environment, including elevated nutrient load of the water body and a polluted ecosystem. Physical, chemical, and biological methods can be used to treat mariculture wastewater. Among them, physical and chemical methods have certain limitations, such as high cost and generating secondary pollutants. In contrast, biological methods are environmentally friendly, while a comprehensive summary of biological methods for mariculture wastewater treatment is limited. To fill this knowledge gap, we summarize basic principles and recent progress of biological treatment techniques for mariculture wastewater. Microbial technology and plant treatment technology are the most effective techniques for mariculture wastewater treatment. Multiple technique coupling processes, such as bacteria‐algae and membrane‐biofilm systems, are future trends in treating mariculture wastewater for discharge or recycle, which need further investigations.

Environmental Progress & Sustainable Energy
Tiangong University (CN)
Openalex Percentile: Top 10%
Aquaculture Nutrition and Growth
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.