Please use this identifier to cite or link to this item:

TitleRandom walk forecast of urban water in Iran under uncertainty
Author(s)Ferdosian, Iman
Haie, Naim
KeywordsDynamic forecasting
Random walk
Water resources
Issue dateJan-2016
PublisherPleiades Publishing
JournalWater Resources
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, 2016
Abstract(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.
ISSN0097 8078
AccessOpen access
Appears in Collections:C-TAC - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat 
2259-Haie-RandomWalk-WR-jan2016.pdf717,74 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID