The aim is to develop a business case for a Watershed Investment Program for Addis Ababa. It includes stakeholder and governance analysis, scientific modeling, return on investment (ROI) analysis, and an implementation plan. Hydrological models are employed to assess the potential of Nature-based Solutions to mitigate the negative trends in the watershed, and improve water supply reliability, water quality, sedimentation and agricultural productivity. The study should raise awareness for all key stakeholders and potential investors. The study is performed under the Nature for Water Facility launched by The Nature Conservancy.
The Nile Basin Decision Support System (NBI-DSS) will provide the necessary knowledge base and analytical tools to support the planning of cooperative joint projects and the management of the shared Nile Basin water resources on an equitable, efficient and sustainable manner. FutureWater was asked to support this NBI-DSS and to undertake preliminary data collection and compilation.
Details
The developed data base has two main components: spatial data and point data. Regarding the spatial data the following data have been made available
- Land cover
- Soils
- Vegetation Indices
- Precipitation FEWS
These data are available over the entire Nile Basin and include a extensive set of attributes. Data have been quality controlled and is ready to apply in the DSS and can be used for various types of hydrological models.
The point data includes over 20 million records from various sources included global and local data sets. Data are stored in PostGreSQL. The data can be considered as the most complete hydro-meteorological dataset available for the Nile so far.