Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/41584

TítuloRandom walk forecast of urban water in Iran under uncertainty
Autor(es)Ferdosian, Iman
Haie, Naim
Palavras-chaveDynamic forecasting
Iran
Isfahan
Random walk
Uncertainty
Water resources
DataJan-2016
EditoraPleiades Publishing
RevistaWater Resources
CitaçãoFerdosian 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, 2016
Resumo(s)There 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.
Tipoarticle
URIhttp://hdl.handle.net/1822/41584
DOI10.1134/S009780781612006X
ISSN0097 8078
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:C-TAC - Artigos em Revistas Internacionais

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