Modeling and Monitoring Water Quality Management in Support of Public Health
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and One Health".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 183
Special Issue Editor
Interests: GIS; data analytics; GeoAI; water and health; mental health; blue space; green space
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With increasing concerns about waterborne diseases and contaminants, understanding the dynamics of water quality is essential for safeguarding public health. This Special Issue aims to explore the application of cutting-edge technologies in the modeling and monitoring of water quality for public health protection. Leveraging advancements in machine learning, Geographic Information Systems (GIS), geospatial artificial intelligence (GeoAI), and remote sensing, this issue seeks to showcase innovative approaches to addressing public health challenges posed by emerging contaminants in water. The topics of this Special Issue include, but are not limited to, the following:
- Application of machine learning algorithms for water quality prediction and monitoring.
- Integration of GIS techniques for spatial analysis and visualization of the health risk posed by emerging contaminants in water.
- Utilization of remote sensing technologies for large-scale monitoring of emerging contaminants in water.
Dr. Jianyong Wu
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- GIS
- remote sensing
- GeoAI
- emerging contaminants
- public health
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