GIS-based decision support system for identifying potential sites for rainwater harvesting

A Methodology to Assess and Evaluate Rainwater Harvesting Techniques in (Semi-) Arid Regions

“…This indicates that the sites are generally well selected for their purpose, and the site characteristics criteria had more impacts on the performance of RWH than other criteria such as climate, drainage and structure design. These results are similar to other studies, such as Al-Adamat [6] and Mbilinyi [16], who concluded that site characteristics are the most important criteria to be considered for design and implementation of RWH techniques.…”

A Participatory GIS Approach for Assessing Land Suitability for Rainwater Harvesting in an Arid Rangeland Environment

“…Therefore, there is a need for robust methodology that enables the assessment of the potential for rainwater harvesting and to identify areas that are suitable for this technique (Makhamreh, 2011;Mbilinyi et al, 2007;Patrick, 1997). The methodology should identify rainwater harvesting requirements based on criteria judged by experts, but should also consider that these could be changed if conditions are changed.…”

“…Many researchers have used GIS and remote sensing to locate sites suitable for macro-catchment rainwater harvesting schemes (De Winnaar et al, 2007;Ould Cherif Ahmed et al, 2007;Sekar and Randhir, 2007;De Pauw et al, 2006;Bodhankar, 2004;Durga Rao and Bhaumik, 2003;Oweis et al, 1998;Patrick, 1997). However few examples are found in the literature regarding the suitability for on-farm micro-catchment (less than 1000 m 2 ) rainwater harvesting (Mwenge Kahinda et al, 2009;Mbilinyi et al, 2007;De Pauw et al, 2006).…”

“…However, in the final suitability assessment, only suitable classes were shown to avoid complexity of maps and to enable the selection among many rainwater harvesting options. Therefore, the final biophysical suitability map shows a number of rainwater harvesting interventions that are suitable for each mapping unit or pixel (Mbilinyi et al, 2007). From these alternatives within each mapping unit or pixel, the farmers, with the help of scientists, selected the most appropriate intervention(s) to be implemented in their fields.…”

Simulation-based Spatial System for Rainwater Harvesting Systems In the Sustainable Campus Project

“…Due to the importance of spatial variance in planning RWHSs, Geographic Information System (GIS) technologies have often been applied to process and analyze the complicated spatial data and visualize results in site selection and potential assessment (Roebuck et al, 2007;Shandas et al, 2003;Mbilinyi et al, 2007). However, the hydraulic performance of RWHSs based on spatial distribution has not been well quantified.…”