Water poverty modeling in the Mekong River Basin

mekong-water-poverty

This study assessed the biophysical and socio-economic conditions of water use within the Mekong basin, focusing on water productivity and water poverty dimensions.


Analyses identified opportunities and risks of change in water management that will influence water poverty, with an emphasis on integrating management across local to basin-wide scales. These analyses utilize WEAP to integrate domestic, agricultural, and aquacultural water use and availability information at a basin-scale to inform development of scenarios outlined in the Basin Development Plan.

Bayesian Belief Networks serve as the core of an innovative methodology to aid in determining likely livelihood impacts of proposed opportunities to increase water productivity in the basin.

These impacts are measured in terms of changes to the five classes of livelihood asset profiles as defined under the Sustainable Livelihoods Framework.

The study set out a linked analytical framework incorporating the Bayesian Network, WEAP model, and the Knowledge Elicitation Tool (KnETs) to develop a robust decision support methodology for analysing impacts and responses under a variety of water-centred livelihood strategies.

Funder: Challenge Program on Water and Food
Partners: SEI Asia, CSIRO

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