4.6 Article

Generation of Potential Sites for Sustainable Water Harvesting Techniques in Oum Zessar Watershed, South East Tunisia

Journal

SUSTAINABILITY
Volume 14, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/su14105754

Keywords

GIS; rainwater harvesting; composite sustainability indicator; spatial multi-criteria analysis; Tunisia

Funding

  1. European Union [265570]

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Water harvesting techniques are important climate change adaptation measures. This study used a participatory assessment framework and Geographic Information Systems to identify suitable sites for these techniques, taking into account stakeholders' sustainability criteria. The findings from an application in Tunisia revealed that traditional techniques are the most suitable and sustainable for farmers, while decision-makers prefer innovative techniques.
Water harvesting techniques (WHTs) are important climate change adaptation measures to better manage rainwater for domestic and agricultural purposes, but which WHT to plan where is subject to sustainability considerations. Moreover, suitability of different WHTs varies from one location to another, depending on physical and socio-economic conditions. This study aimed to identify suitable sites for WHTs taking into account stakeholders' sustainability criteria. In a participatory assessment framework, Geographic Information Systems and the Simple Multi-Attribute Rating Technique were combined to generate suitability maps and to guide sustainable WHTs investments. Steps included the calculation of a sustainability index for a set of traditional and newly introduced WHTs from the perspective of two stakeholder groups, farmers and decision-makers, and its integration with layers of biophysical constraints. An application of the framework in the Oum Zessar watershed, southeast Tunisia, shows that traditional techniques are the most suitable and sustainable for farmers and fall within the highly suitable class in 76.4% of the total area, while decision-makers prefer innovative techniques that are highly suitable in 80.4% of the watershed. The framework offers a scalable transparent process for knowledge integration in support of WHT investment decisions that can be adapted to other dryland areas.

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