Algorithm development and validation for remote sensing of water quality parameters
Aquatic chemistry, biogeochemistry, microbial water quality
Coastal, estuarine, and inland water quality dynamics
Data fusion techniques (remote sensing, in-situ data, models)
Decision support system design for water quality management
Drinking water quality assessment
Environmental policy and regulatory frameworks related to water quality and use
GIS and geospatial analysis of water systems
Harmful algal bloom detection, monitoring, and forecasting
Hydrologic and water quality modeling
Integration of Earth observation data with hydrologic and water quality models
Machine learning / artificial intelligence applications in water quality and management
Public health impacts of water pollution and contamination
Recreational water quality (criteria for beaches, lakes, rivers)
Remote sensing of water quality (optical, radar, hyperspectral)
Risk assessment, hazard mapping, and scenario planning for water-related risks
Scenario planning and uncertainty analysis for water quality management
Stakeholder engagement, co-production of knowledge, and decision tools
Stormwater and wastewater systems engineering and management
Transboundary and cross-jurisdiction water governance
Urban water infrastructure design, operation, and adaptation
Water pollution science (nutrients, pathogens, plastics, emerging contaminants)
Water quality forecasting
Water quality monitoring techniques
Water quality risk assessment for human health and ecosystems
Water sustainability planning (reuse, conservation, resilience)
Other
.jpg?w=1024)
