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3D Water Modelling of Bidada Village (Kankavati Aquifer Region, Kutch)
3D Water Modelling of Bidada Village (Kankavati Aquifer Region, Kutch)
WIN Foundation, in collaboration with Arid Communities Technologies (ACT), Bhuj, is developing an innovative 3D water model of Bidada Village in the Kankavati Aquifer region of Kutch.
Using technologies such as Blender, Unity, and MODFLOW, the project aims to create a live and interactive model that can visualise the region’s water balance and water budget. The idea is to transform complex water-resource data into an easy-to-understand visual tool that can support farmers, researchers, and decision-makers in understanding local water conditions and planning for sustainable water management.
A pilot 3D model has already been developed using proxy data, demonstrating the water balance of a selected area of Bidada Village. The model is currently being refined to improve the accuracy of water-budget estimates, data integration, and visualisation quality.
The long-term vision is to develop a replicable model that can be adapted to other water-stressed regions, supporting evidence-based water conservation and better management of precious groundwater resources.
From data to visualisation, and from visualisation to action the project explores how technology can help communities better understand and manage their water resources.
Ravine Processes and Dynamics (Sabarmati River Basin)
Ravine Processes and Dynamics (Sabarmati River Basin)
WIN Foundation, in collaboration with IIT Gandhinagar, is exploring how technology and scientific mapping can help us better understand and manage the ravine landscape along the Sabarmati River.
The project focuses on studying soil erosion, gully formation, vegetation patterns, and changes in the landscape to identify areas at risk and support sustainable management practices. Advanced tools such as 3D terrain modelling, UAV-based mapping, and high-resolution elevation data are being used to build a clearer picture of the region.
The project has now completed its first field visit to the Sabarmati River Basin. A high-resolution Cartosat-I Digital Elevation Model (DEM) with 2.5-metre resolution has been obtained to help identify potential locations for detailed gully and erosion studies. The team is currently working on georeferencing the 3D models to enable more accurate mapping and analysis.
The study will ultimately contribute to developing risk-assessment methods and community-level protocols for areas affected by active erosion, helping protect local infrastructure and strengthen the resilience of communities living along the river.
Understanding the landscape today can help us build safer and more sustainable river ecosystems for tomorrow.
Water conservation Project with CEE
Water conservation Project with CEE
WIN Foundation is working towards strengthening long-term water security in water-stressed communities of the Kalavad region, with a focus on sustainable water management, improved water availability, and community resilience.
As part of Phase I, a comprehensive geological survey and water security plan were completed to understand local water conditions and identify priority interventions. Based on field assessments, desiltation and excavation works were carried out at key canals and check dams, helping improve water storage capacity and strengthen water availability for local communities.
Building on these efforts, Phase II will focus on expanding the water security approach to neighbouring ar eas, along with community awareness and participation initiatives to encourage local ownership and support the long-term sustainability of water infrastructure.
Going forward, WIN Foundation plans to extend the same water security approach to the Jasdan region of Rajkot District, adapting the learnings and experience from Kalavad to address local water challenges and explore sustainable, community-led solutions.
From understanding local water systems to strengthening community action, the initiative aims to build more resilient and water-secure communities.
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