Real-time East Africa live groundwater use database
The Inspire Challenge is an initiative to challenge partners, universities, and others to use CGIAR data to create innovative pilot projects that will scale. We look for novel approaches that democratize data-driven insights to inform local, national, regional, and global policies and applications in agriculture and food security in real time; helping people–especially smallholder farmers and producers–to lead happier and healthier lives.
This proposal was selected as a 2019 winner, with the team receiving 100,000 USD to put their ideas into practice.
Low-cost solar pumps offer the potential for East Africa’s farmers to increase productivity, but data needed to judge the sustainability of these solutions and plan appropriate policies are not available. This project proposes to reduce information gaps by turning the network of solar pumps developed by Futurepump into IoT devices linked to an open, online water information platform at IWMI. The system would then be able to provide real-time information on water withdrawal, area irrigated, and energy use.
While more than 90% of Africa’s agriculture is rain-fed, farmers face some of the world’s highest precipitation variability, which climate change is further exacerbating. In order to increase and intensify crop production to feed Africa’s growing populations, the high water resource variability needs to be managed. Water storage and increased irrigation will be needed, but current surface water storage capacities are small in many sub-Saharan African countries compared to other regions of the world.
Water naturally stored in shallow aquifers is one solution for farmers; IWMI studies have indicated that in many regions there is still much untapped and sustainable groundwater potential, particularly if recharge is managed.
Sustainably managing water resources, whether on the surface or below, and producing irrigation management policies and guidelines, will require detailed information on water demands, withdrawals, availability, flows, and risks. At present, none of this data is available to the extent needed by farmers, water planners, and managers throughout much of sub-Saharan Africa.
This project proposes to narrow the groundwater resource information gap by turning a network of solar pumps developed by Futurepump Ltd. into IoT devices providing shallow groundwater pumping information to a Real-time East Africa live groundwater use database (REAL-GUD). It offers a public-private partnership approach to using IoT to provide accessible, consistent shallow groundwater availability and use data across multiple sub-Saharan African countries.
It will link the groundwater database with solar pumping suitability mapping and hydrologic information developed by ongoing projects to provide previously unavailable data to researchers, farmers, and planning and management agencies alike. This will enable, for example, climate proofing of the agricultural value chain as solar suppliers develop new supply chains embedded in an environmental sustainability context given that now solar abstraction can be monitored.
Step by step
The project was one of four winners of the Inspire Challenge 2019 and was awarded US$100K at the Convention of the CGIAR Platform for Big Data in Agriculture, during 16-18 October, 2019.
Assessment of case studies & selection of study region
The IWMI team completed an assessment of case studies in order to select the region of study.
Kisumu County in western Kenya was chosen for its proximity to Lake Victoria, as the Futurepump solar irrigation pumps have a suction limit of seven meters, requiring a region with a high water table.
The team began API development to enable the IWMI and Futurepump databases to interface with one another.
Expansion of the team
An additional team member will be added to work on the ground with Futurepump in Kenya and convert the energy (voltage) info coming from the pumps into water table and water quantity data. This team member will also work with local stakeholders to gain a deeper understanding of how the pumps are being used in the community.
Workshop with Kenyan government and academic partners
The team will hold a workshop to check in with Kenyan government and academic partners and solicit feedback on what is most useful for them in order to guide policy.
The team will build up the suitability analysis and the interface for displaying suitability in geospatial layers.
Overlapping of irrigation info and other data
Satellite remote sensing data of irrigated land areas will be paired with ground-truthing survey data and then trained with machine learning to make it easier to extrapolate.
The team will publish an article on their process of converting energy-use data into water-use data.
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