A GIS-based decision support system for rainwater harvesting (RHADESS)

Kahinda, Jean‐Marc Mwenge; Taigbenu, Akpofure E.; Sejamoholo, B.B.P.; Lillie, E.S.B.; Boroto, R.J.

doi:10.1016/j.pce.2009.06.011

Cited by 62 publications

(14 citation statements)

References 7 publications

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“…The IWRM literature on South Africa is rather rich (see, for example, [10,28,36,52,53]). The work by Prasad et al [36] is worth mentioning here, because it proposes a framework for prioritizing water management alternatives by integrating multi-disciplinary approaches by means of multi-criteria decision analysis (MCDA).…”

Section: South Africamentioning

confidence: 99%

“…A graphical presentation of the proposed framework is reported in Figure 5. Other works propose a GIS-based DSS for rainwater harvesting in the upper Orange River Basin [28] and a model-based DSS for a smallholder farming system in the Olifants River Basin, integrating pre-existing models (hydrology, crop production and farm profitability) into a new framework named ICHSEA (Innovative Coupling of Hydrological and Socio-Economic Aspects) [32]. Figure 5.…”

Section: South Africamentioning

confidence: 99%

“…Jean-marc Mwenge Kahinda (Council for Scientific and Industrial Research (CSIR), South Africa) contributed to the survey with reference to the rainwater harvesting DSS supported by the Water Research Commission [28].…”

Section: South Africamentioning

confidence: 99%

“…DISTs, as a broad category of computerized instruments, can facilitate the transfer of skills and methods for structuring and exploring problems and the generation of information for analyzing and supporting decisions [26]. Examples of DISTs are geographical information systems [7,27,28], integrated assessment and modelling [10][11][12][29][30][31][32] and decision support systems (DSSs) [6,26,[33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

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Decision Support Systems for Water Resources Management in Developing Countries: Learning from Experiences in Africa

Giupponi

Sgobbi

2013

Water

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Decision support system (DSS) tools are rather popular in the literature on water resources management. The European Project "Splash" conducted a survey of the literature and of DSS implementation in developing countries with specific reference on Africa. Experts in the field were consulted through an ad hoc questionnaire and interviews. The results of the survey indicate that the exchange of experiences amongst projects with similar objectives or even the same case study is very limited, with a tendency towards restarting every time from scratch. As a consequence, it seems that DSS developments have produced only limited positive impacts. Most experts contacted shared either the frustration deriving from the limited impacts on intended end-users, who rarely used the tool after the project end, or in the case of ongoing projects, the preoccupation for future maintenance. Responses from the questionnaires indicate that priority efforts should not focus on developing the tools, but rather on improving the effectiveness and applicability of integrated water resource management legislative and planning frameworks, training and capacity building, networking and cooperation, harmonization of transnational data infrastructures and, very importantly, learning from past experiences and adopting enhanced protocols for DSS development.

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Section: South Africamentioning

confidence: 99%

Section: South Africamentioning

confidence: 99%

Section: South Africamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decision Support Systems for Water Resources Management in Developing Countries: Learning from Experiences in Africa

Giupponi

Sgobbi

2013

Water

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“…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).…”

Section: Land Suitability For Rainwater Harvestingmentioning

confidence: 99%