CEH's GWAVA (Global Water Availability Assessment) model provides integrated analysis of water sources and demands at national to continental scales.
GWAVA combines locally sourced data with global databases to give projections of future changes to water availability. These can be used to model consequential impacts, including changes to water quality and damage to river ecosystems. GWAVA is highly adaptable to low data environments and has been successfully applied both globally and at continental and basin scales across Europe, Africa and Asia for more than 20 years.
The GWAVA methodology
GWAVA uses a sequence of processes to represent interactions between environmental and human water systems
- Surface water and subsurface flow are represented using a gridded Probability Distribution Model (Moore, 1985).
- Natural features such as lakes, wetlands and glaciers, as well as human interventions such as reservoirs and long-distance transfers are represented.
- Water demands from household supply, irrigation, livestock and industry are modelled.
- Future changes caused by population growth, climate change, urbanisation and per-capita use of water can be represented easily.
- Optional outputs include water quality assessment (Dumont et al, 2012) and analysis of ecological risk via the Eflows model (Laize et al, 2013).
GWAVA can be applied at spatial scales from 0.1° to 0.5° (about 10 to 50km) grid cells, using a monthly or daily time step. Click here to read case studies about the use of GWAVA in past projects.
The GWAVA Team
For further information, please contact:
Centre for Ecology & Hydrology
Dumont, E, Williams, R, Keller, V, Voß, A, Tattari, S. 2012. Modelling indicators of water security, water pollution and aquatic biodiversity in Europe. Hydrological Sciences Journal, 57(7): 1378-1403.
Johnson, A C, Keller, V D J, Dumont, E, Sumpter, J P, 2015. Assessing the concentrations and risks of toxicity from the antibiotics ciprofloxacin, sulfamethoxazole, trimethoprim and erythromycin in European rivers. Science of the Total Environment, 511: 747-755.
Laizé, C L R, Acreman, M C, Schneider, C, Dunbar, M J, Houghton-Carr, H A, Flörke, M and Hannah, D M, 2013 Projected flow alteration and ecological risk for pan-European rivers. River Research and Applications, 30: 299-314.
Meigh, J, McKenzie, A, and Sene, K, 1999. A grid-based approach to water scarcity estimates for eastern and southern Africa. Water Resources Management, 13: 85-115.
Moore, 1985. The probability-distributed principle and runoff production at point and basin scales. Hydrological Sciences Journal, 30: 273-297.