2013
DOI: 10.2166/wcc.2013.029
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Participatory fuzzy cognitive mapping analysis to evaluate the future of water in the Seyhan Basin

Abstract: Stress on the water resources of Turkey is expected to increase in the near future. This paper presents the results of a case study in one of the most important water basins in Turkey, the Seyhan Basin, where the future of the basin is estimated using a fuzzy cognitive mapping technique applied at a participatory meeting with the stakeholders. Participants envisioned that water supply, water demand and water use would decline in the future in response to the increasing impact of climate change. Improvements in… Show more

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Cited by 8 publications
(4 citation statements)
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“…FCMs have been applied in previous water management studies to gain a shared understanding of the dynamics of their study object or to assess impacts of (few) management options [21,45,46], but it has, to our knowledge, not been combined before with a multi-criteria analysis. The combination of these methods, however, was a valuable step to evaluate the impacts of 102 options in total, taking into account the stakeholder preferences in the evaluation of the options.…”
Section: Discussionmentioning
confidence: 99%
“…FCMs have been applied in previous water management studies to gain a shared understanding of the dynamics of their study object or to assess impacts of (few) management options [21,45,46], but it has, to our knowledge, not been combined before with a multi-criteria analysis. The combination of these methods, however, was a valuable step to evaluate the impacts of 102 options in total, taking into account the stakeholder preferences in the evaluation of the options.…”
Section: Discussionmentioning
confidence: 99%
“…FCMs have been used in various fields. This has been illustrated in the modeling of simulated domains (Dickerson and Kosko, 1994); to analyze systems, detect their failures and analyze their effects (Peláez and Bowles, 1996); in the creation of ecological models based on the knowledge of people (Özesmi and Özesmi, 2004); in modeling complex systems (Stylios and Groumpos, 2004); for decision-making and environmental management (Papageorgiou and Kontogianni, 2012); for developing land cover scenarios in the Brazilian Amazon (Soler et.al., 2012); for evaluating the future of water in the Seyhan Basin (Cakmak et al, 2013); assessing impacts and community preparedness to cyclones (Singh and Chudasama, 2017); for modeling the problem of high energy consumption in the construction sector considering the context of climate change (Mpelogianni and Groumpos, 2018); modeling the behaviour of the immediate consequence of high intensity rainfall in Kampala, Uganda (Nair et al, 2019); for sustainable agriculture (Bahri et al, 2020); as well as in to analyse the causes and hazardous effects of Malathion (organophosphorus insecticide and pesticide) to the environmental components (air, water and soil) (Poomagal et al, 2021).…”
Section: Fuzzy Cognitive Maps In the Environmental And Climatological Areasmentioning
confidence: 99%
“…Thus, all relations are best understood by those involved in decision making process (Belton & Stewart, 2002). Some authors have been used PSMs to support the decision making in water resources problems, such as: water basins (Cakmak, et al, 2013;Suriya & Mudgal, 2013); perceptions of water users (ElSawah et al, 2013); and water resource conflicts (Medeiros et al, 2017;Urtiga & Morais, 2015). "Combining PSMs and MCDA produces a richer view of the decision situation and provides a methodology which can better handle the various phases of decision-making [...]" (Marttunen et al, 2017, p. 1).…”
Section: Literature Reviewmentioning
confidence: 99%