4.7 Article

Urban Rainwater Harvesting Adoption Potential in a Socio-economically Diverse City Using a GIS-based Multi-criteria Decision Method

Journal

WATER RESOURCES MANAGEMENT
Volume 37, Issue 2, Pages 835-850

Publisher

SPRINGER
DOI: 10.1007/s11269-022-03407-7

Keywords

Rainwater harvesting; Multi-criteria decision analysis; GIS; Socio-economic factors

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Despite its potential to supplement water resources, rainwater harvesting (RWH) is underutilized in developing cities. This study investigates the influence of socio-economic factors on the potential adoption of RWH in Johannesburg. The study uses a Multi-Criteria Decision Analysis (MCDA) approach to assess suitability, considering factors such as income, household size, tenure, and sanitation type. The findings highlight the great potential of RWH systems in institutional, business, and agricultural properties.
Rainwater harvesting (RWH) remains an underutilized practice in developing cities, despite its promising potential to supplement available water resources. Socio-economic factors such as capital and household characteristics have been identified as major constraints to the adoption of RWH. Therefore, the purpose of this study is to investigate the extent to which various socio-economic factors influence the potential adoption of RWH in the City of Johannesburg (CoJ). The study employs a Multi-Criteria Decision Analysis (MCDA) approach in ArcMap to run two scenarios, one with socio-economic criteria and the other without. Inputs considered include income and size of the household, tenure-ship and sanitation type. Suitability maps show that more than 50% of the area in the CoJ is suitable for RWH. Further analysis was performed to find the variation in land use, which was categorized into four suitability scales: not suitable, low suitability, medium suitability and high suitability. The results indicate that excluding social and economic criterions leads to overestimating the high suitability category. Findings show the great potential of RWH systems in institutional, business and agricultural properties. Therefore, promoting RWH at the property level is recommended, supported by smart policies to boost its adoption.

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