Coastal and Marine Environmental Ecology Problems Identified and Addressed by Means of Artificial Intelligence Tools

A special issue of Environments (ISSN 2076-3298).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1505

Special Issue Editors


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Guest Editor
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
Interests: multiviraite statistical analysis; chemometric; micropollutants; spatial and temporal variation; water quality
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Guest Editor
College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, China
Interests: marine ecology; marine environment; natural resource management; phytoplankton; conservation biology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The coastal area is one of the important land–sea interface zones, which is quite sensitive to the perturbation by human activities and climate change. It is greatly affected by urbanization, rapid population growth, high industrial concentration, and natural changes. The coastal environment and ecology have led to highly undesirable ecosystem structure and function conditions. So, human-induced and natural changes affecting biodiversity, environmental change, mangroves, seagrasses, and coral reefs in estuarine and coastal ecosystems are major challenges for research and management. Recognizing these environmental issues and drafting relevant management policies are important for sustainable socio-economic development. Therefore, environmental problems and ecological responses such as harmful algal blooms (HABs), organic pollutants, microplastics, and heavy metal pollution will be explained by artificial intelligence, chemometrics, and multivariate statistical analysis.

This Special Issue aims to combine classical and innovative studies of methods and techniques for these problems.  Artificial intelligence, such as data mining, multivariate statistical analysis, and chemometrics, emphasizes environmental and ecological problems.

Prof. Dr. Meilin Wu
Prof. Dr. Hui Zhao
Guest Editors

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Keywords

  • artificial intelligence
  • data mining
  • coastal environmental ecology
  • chemometrics

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Published Papers (1 paper)

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Research

15 pages, 4146 KiB  
Article
Spatial Distribution and Influencing Factors of Chlorophyll a in Lianzhou Bay, Guangxi Province, China
by Xiao Tan, Bingliang Qu, Yinling Zhu and Hui Zhao
Environments 2025, 12(2), 50; https://doi.org/10.3390/environments12020050 - 4 Feb 2025
Viewed by 1054
Abstract
Phytoplankton is essential in coastal marine ecosystems, aiding ecosystem stability and development of marine economy. Coastal ecosystems, as a transitional zone, feature complex, variable environmental factors that significantly affect phytoplankton growth. To assess the factors influencing the growth of phytoplankton in the bay [...] Read more.
Phytoplankton is essential in coastal marine ecosystems, aiding ecosystem stability and development of marine economy. Coastal ecosystems, as a transitional zone, feature complex, variable environmental factors that significantly affect phytoplankton growth. To assess the factors influencing the growth of phytoplankton in the bay area, this study measured chlorophyll a (Chla), nutrients, and four antibiotics (sulfamethoxazole, sulfadiazine, ciprofloxacin, and enrofloxacin) in seawater, as well as total nitrogen and total phosphorus contents in sediments at 25 stations in Lianzhou Bay. Principal component analysis and the risk quotient (RQ) were utilized for analysis and assessment. The results indicate that the factors influencing Chla concentrations are inconsistent between the nearshore and offshore areas of Lianzhou Bay. Specifically, abundant nutrients, high ammonia levels, and low enrofloxacin concentrations are the primary factors contributing to high Chla concentrations in the nearshore area. In contrast, hydrodynamic conditions, feeding by cultured shellfish, and adequate lighting collectively shape the distribution characteristics of Chla in the offshore area. Additionally, the ecological risk posed by antibiotics in this bay is relatively low. The findings of this study provide scientific evidence for local management of marine pollution sources and the optimization of aquaculture models, which is of great significance for sustainable utilization of marine ecological resources. Full article
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