2005
DOI: 10.1080/02508060508691894
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WEAP21—A Demand-, Priority-, and Preference-Driven Water Planning Model

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Cited by 213 publications
(178 citation statements)
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“…The main objective of this research was to evaluate the effects of future agricultural water management strategies under the influence of climate change on the inflow to the Urmia Lake and the agricultural condition during the years 2015-2040 using the WEAP21 model [22,23]. Considering that the Zarrinehrud and Siminehrud River basins are the largest sub-basins in the Urmia Lake basin, this research was carried out on these two sub-basins.…”
Section: Introductionmentioning
confidence: 99%
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“…The main objective of this research was to evaluate the effects of future agricultural water management strategies under the influence of climate change on the inflow to the Urmia Lake and the agricultural condition during the years 2015-2040 using the WEAP21 model [22,23]. Considering that the Zarrinehrud and Siminehrud River basins are the largest sub-basins in the Urmia Lake basin, this research was carried out on these two sub-basins.…”
Section: Introductionmentioning
confidence: 99%
“…All constraints are defined intermittently for each step of time, with regard to the priority of supply and demand. The WEAP model calculates the mass balance equilibrium of water for each node and branch at either daily or monthly time steps [22,23]. Using the time series of the climate, the WEAP model calculates the hydrological cycle components by simulating the rainfall-runoff process at the surface of the catchment area [26].…”
Section: Introducing the Weap Modelmentioning
confidence: 99%
“…The Water Evaluation And Planning (WEAP) model of the Stockholm Environment Institute is a water demand, priority and preference driven model which provides a modelling framework for assessing sectoral demand, stream flow, reservoir operation, water conservation measures, allocation priorities and project cost-benefit analyses (Yates et al 2005a;Yates et al 2005b). It is particularly useful for comparing scenarios of hydrological change (Höllermann et al 2010;Harma et al 2012) and has been used for evaluating adaptation options previously (Bonelli et al 2014;Yates et al 2015).…”
Section: Weap Modellingmentioning
confidence: 99%
“…The data structure and level of detail used can easily be customized to meet the requirements of a particular analysis and to reflect the limits imposed when data is limited [18]. To set up the model, monthly time steps were used in the hydrologic simulation, for the following reasons: (1) compatibility with significant hydrologic process time periods and (2) the existence of the data in a monthly framework.…”
Section: Wadi Zomer Watersheds Modelingmentioning
confidence: 99%