Resource Library

This systematic review synthesises decades of research on surface water quality profiling, outlining major pollution sources, widely used Water Quality and Pollution Index models, key parameters, and emerging needs for more technology-driven approaches to improve monitoring and assessment.

Lake Victoria, Africa’s largest freshwater lake, is undergoing severe ecological decline driven by pollution and eutrophication that threaten its unique biodiversity and the well-being of surrounding communities, even though improved operation of existing treatment facilities could significantly reduce organic pollution on the Kenyan side.

Increasing accessibility to satellite-based water quality estimates so researchers can create better models and facilitate new data-driven approaches to monitoring and understanding critical water resources.

NCEI provides access to an extensive archive of environmental data through several platforms. We deliver the climate, coastal, oceanographic, and geophysical data you need in a variety of formats.

Copernicus Marine Service provides free and open marine data and services to enable marine policy implementation, support Blue growth and scientific innovation

The Global Freshwater Quality Database GEMStat provides scientifically-sound data and information on the state and trend of global inland water quality. As operational part of the GEMS/Water Programme of the United Nations Environment Programme (UNEP), GEMStat is hosted by the GEMS/Water Data Centre (GWDC) within the International Centre for Water Resources and Global Change (ICWRGC) in Koblenz, Germany.

A map view showing geospatial context to provide an easy and shareable snapshot of environmental/spatial data for reporting or display.

The Caribbean Environment Programme and Cartagena Convention Secretariat webpage

The report highlights the critical role of the oceans and ocean ecosystems

A review of emerging methods showing how real-time monitoring, remote sensing, and advanced machine learning models are transforming the accuracy and efficiency of inland river water-quality forecasting and management, especially LSTMs, GRUs, and hybrid approaches.