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INTEGRATED DUAL-SOURCING PRACTICAL FRAMEWORK: COMBINING WASTEWATER REUSE AND DESALINATION IN A TWO-PRONGED APPROACH FOR RESILIENT URBAN WATER SECURITY IN TAIZ, YEMEN.

INTEGRATED DUAL-SOURCING PRACTICAL FRAMEWORK: COMBINING WASTEWATER REUSE AND DESALINATION IN A TWO-PRONGED APPROACH FOR RESILIENT URBAN WATER SECURITY IN TAIZ, YEMEN.

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Authors

adeb ebrahim 

Abstract

This study proposes a novel paradigm integrating wastewater reuse and desalination for Taiz's water security in Yemen. This hydrological circuit of multiple stages transforms wastewater streams into value-added products, establishing a robust dual-sourcing matrix that mitigates the linear exploitation of resources. The proposed framework strives to generate 0.8 kWh of electricity with 1 m³ of treated wastewater, supplementing Taiz's energy demands. The design includes a solar-powered reverse osmosis plant in Mocha, a GIS-optimized pipeline, and decentralized DEWATS for greywater reuse in Taiz. The closed-circuit system transforms resources, encouraging redundancy and flexibility. It is also integrating GIS and AI-driven for real-time resilience and efficiency, providing critical, sustainable solutions that reduces dependence upon single sources and contribute toward a replicable framework for conflict-affected regions and water-scarce regions. Our system, as a model for conflict regions, can save Yemen roughly $2.3 million every month in imported energy cost.

DOI

https://doi.org/10.31223/X5S44F

Subjects

Social and Behavioral Sciences

Keywords

Resilient circular water, SDG-compatible water recovery, GIS suitability modeling, hybrid reuse-desalination, urban hydro-resilience, resilient water nexus.

Dates

Published: 2025-09-05 14:18

Last Updated: 2025-09-05 14:18

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no financial competing interests or personal relationships that would have been perceived to influence the study presented in this study.

Data Availability:
No additional datasets or external repositories are linked to this research; all data generated or examined during this study are contained in the published study.

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