Informing Investments in Future Water Supply in the Asia Pacific Region – a Decision Support Tool
How to design a valid and transparent process for high level assessments of water needs; that can be applied at several scales, provides interactive knowledge management and supports collective learning processes?
- What did the project do?
- What did the project produce?
- How can the project make a difference to development?
The project developed a decision support methodology and tool for assessing the water needs of different locations. The decision support tool is designed to inform investments in future water supply in the Asia Pacific region.
- A methodology for assessing the multiple dimensions of water needs in countries and regions; as well as incorporating a range of information types
- A prototype software tool for applying and visualizing the Water Needs Index; and instructions for how to make this a full-scale knowledge sharing and assessment tool
- Three case studies using the methodology:
- For 29 countries in the Asia-Pacific region
- For the Mekong River Basin
- For the islands of Kiribati
In the full-scale web-based application, the decision support tool:
- identifies the needs and symptoms relating to inadequate water and sanitation and identifies hotspots requiring attention. In this way:
- It supports discussion around water and sanitation needs in different locations; in particular it can serve as a bridge between different responsible departments
- In future versions, assuming adequate information, it has the potential to identify suitable intervention strategies for different local contexts and circumstances.
- by providing a structure for information, and identifying knowledge gaps, it supports knowledge management; linking donor agencies, experts and local water managers and allowing them to share data; and as such:
- Will help local water managers to access and utilize data that is available in the system
- Can inform further information collection and collaborative arrangements to source data etc.