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dc.contributor.authorFerdosian, Imanpor
dc.contributor.authorHaie, Naimpor
dc.identifier.citationFerdosian I., Haie N. Random Walk Forecast of Urban Water in Iran Under Uncertainty, Water Resources, Vol. 43, Issue 1, pp. 200–206, doi:10.1134/S009780781612006X, 2016por
dc.identifier.issn0097 8078por
dc.description.abstractThere are two significant reasons for the uncertainties of water demand. On one hand, an evolving technological world is plagued with accelerated change in lifestyles and consumption patterns; and on the other hand, intensifying climate change. Therefore, with an uncertain future, what enables policymakers to define the state of water resources, which are affected by withdrawals and demands? Through a case study based on thirteen years of observation data in the Zayandeh Rud River basin in Isfahan province located in Iran, this paper forecasts a wide range of urban water demand possibilities in order to create a portfolio of plans which could be utilized by different water managers. A comparison and contrast of two existing methods are discussed, demonstrating the Random Walk Methodology, which will be referred to as the â On uncertainty pathâ , because it takes the uncertainties into account and can be recommended to managers. This On Uncertainty Path is composed of both dynamic forecasting method and system simulation. The outcomes show the advantage of such methods particularly for places that climate change will aggravate their water scarcity, such as Iran.por
dc.publisherPleiades Publishingpor
dc.subjectDynamic forecastingpor
dc.subjectRandom walkpor
dc.subjectWater resourcespor
dc.titleRandom walk forecast of urban water in Iran under uncertaintypor
oaire.citationTitleWater Resourcespor
dc.subject.wosScience & Technologypor
sdum.journalWater Resourcespor
Appears in Collections:C-TAC - Artigos em Revistas Internacionais

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