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Water Harvest and Storage Location Optimization Model (GWaMP)

Explore a model that identifies ideal locations for water management, based on watershed characteristics and environmentally friendly initiatives, saving time and money while encouraging public participation. Utilizing multi-criteria evaluation techniques, the model assesses suitability for rainwater harvesting and storage technologies across various catchments. Results from applying the GWaMP model demonstrate its efficacy in site delineation and watershed management. Acknowledgements to Prof. Hartmut Grassl for support.

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Water Harvest and Storage Location Optimization Model (GWaMP)

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  1. Water Harvest and Storage Location Optimization Model(GWaMP) Harshi Weerasinghe1,2,3, Uwe A. Schneider 1,Alexander Löw3 1Research Unit Sustainability and Global Change, University of Hamburg, Hamburg, Germany 2International Max Planck Research School on Earth System Modelling, Hamburg, Germany 3Max Planck Institute for Meteorology, Hamburg, Germany,

  2. Outline • Introduction • Model concepts • Results • Summary

  3. Introduction Identify potential locations to.. Research question; Can Global datasets be used to identify potential locations for water management?? • Introduce water resources planning based on watersheds • Similar characteristics on water disposal • Environmental friendly • Saves time and money • Greater public participation • Introduction • Model concepts • Results • Summery

  4. Rain water harvest by • In-situ harvesting • Soil moisture conservation methods & • increase infiltration to improve groundwater recharge • Rain water store by capturing • seasonal floodwaters from local streams • runoff from local catchments • conserved water through watershed management • Introduction • Model concepts • Results • Summery

  5. Model concepts Multi-Criteria Evaluation (MCE) -to identify the suitability of each grid cell for water harvesting and storage Compound Weighted Index (CWI) Suitability Level Index (SLI) Compound Weighted Index (CWI) Suitability Level Index (SLI) Compound Suitability Index (CSI) for ith cell for tth rain water harvesting or storage technology, CSIti • comparative importance of input • parameters • input data - thematic map layers • each layer - factor in decision making • (constrain layers) • eigen vector from the pair-wise comparison • matrix suitability levels for a particular technology on a given factor • Introduction • Model concepts• Results • Summery

  6. Study site Sao Francisco catchment Nile catchment • Introduction • Model concepts• Results • Summery

  7. Results obtained using the GWaMP • Introduction • Model concepts • Results• Summery

  8. GWaMPmodel results

  9. Potential suitable area(as a % of total area) for different rainwater harvesting and storage technologies Suitability of existing locations • Introduction • Model concepts • Results• Summery

  10. Suitability of locations obtained using the GWaMP Stream Order Stream Number of Streams • Introduction • Model concepts • Results• Summery

  11. Summery and conclusions • Simple geographic analysis tool (GWaMP model) for site delineation • Application of GWaMP model to two diverse watersheds shows satisfactory agreement between predicted and reality for regional dams. • parameters can be regulated on the catchment scale minimizing the alterations to the existing ecosystem. • Study demonstrate the capabilities of using global data sets and Geographic Information Systems (GIS) in special analysis Acknowledgements: We thank Prof Hartmut Grassl for his support and valuable comments Thank you for your attention! • Introduction • Model concepts • Results • Summery

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