2016
DOI: 10.1016/j.jhydrol.2016.04.051
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Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment

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Cited by 54 publications
(33 citation statements)
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References 30 publications
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“…This research characterises the climate change impact uncertainties linked to the planning of reservoirs utilising a methodology similar to that described by Soundharajan et al (2016). The main variations between the two studies are that a rainfall-runoff model is used to simulate the streamflow series rather than stochastic modeling that as used by Soundharajan et al (2016).…”
Section: Aim Objectives and Noveltymentioning
confidence: 99%
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“…This research characterises the climate change impact uncertainties linked to the planning of reservoirs utilising a methodology similar to that described by Soundharajan et al (2016). The main variations between the two studies are that a rainfall-runoff model is used to simulate the streamflow series rather than stochastic modeling that as used by Soundharajan et al (2016).…”
Section: Aim Objectives and Noveltymentioning
confidence: 99%
“…The main variations between the two studies are that a rainfall-runoff model is used to simulate the streamflow series rather than stochastic modeling that as used by Soundharajan et al (2016). In addition, Soundharajan et al 2016 did not take into consideration the reservoir capacity-yieldreliability relationships, which have been considered here.…”
Section: Aim Objectives and Noveltymentioning
confidence: 99%
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“…Recent research in water resources (Srinivasan 2014; Adeloye et al 2016;Soundharajan et al 2016;) dependent on the CFSR dataset. For example, confirmed the CFSR data reliability by applying the dataset to evaluate the potential effect of evapotranspiration formulations at different elevations and climatic conditions on the RDI index.…”
Section: Climate Forecasting System Reanalysis Datamentioning
confidence: 99%
“…Reservoirs also require a significant amount of resources to plan, build and operate, with implications for long-term water supply costs and affordability (Wiberg and Strzepek 2005). Quantifying exploitable reservoir capacity is therefore crucial for strategic planning of water, energy and food supplies in the coming decades, particularly with anticipated population growth and exacerbating impacts on hydrological variability due to climate change (Boehlert et al 2015, Kundzewicz and Stakhiv 2010, Soundharajan et al 2016, Stillwell and Webber 2013, Vörösmarty et al 2009.…”
Section: Introductionmentioning
confidence: 99%