2020
DOI: 10.1016/j.jhydrol.2020.124915
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Probabilistic trade-off assessment between competing and vulnerable water users – The case of the Senegal River basin

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Cited by 14 publications
(9 citation statements)
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“…For example, on the supply side, there are key uncertainties regarding how changes in climate and land use will affect instream flows, and on the demand side, there are uncertainties about population and economic growth. These supply and demand uncertainties can be incorporated using stochastic analysis and optimization (see, for example, Tilmant et al [2020]).…”
Section: Discussionmentioning
confidence: 99%
“…For example, on the supply side, there are key uncertainties regarding how changes in climate and land use will affect instream flows, and on the demand side, there are uncertainties about population and economic growth. These supply and demand uncertainties can be incorporated using stochastic analysis and optimization (see, for example, Tilmant et al [2020]).…”
Section: Discussionmentioning
confidence: 99%
“…We have selected GR2M (Mouelhi, 2003), a monthly time-step conceptual hydrological model, because (1) it has been used in the SRB with satisfactory results (Ardoin-Bardin, 2004;Ardoin-Bardin et al, 2005;Holding, 2012;Bodian et al, 2015Bodian et al, , 2016, and (2) the simulated flows will be processed by a hydro-economic model of the SRB working on a monthly time step (Tilmant et al, 2020).…”
Section: The Senegal River Basin and Its Sub-basinsmentioning
confidence: 99%
“…Along with other studies [29,[34][35][36][37][38][39][40][41][42][43][44][45][46], the literature still present gaps in the study of tradeoffs in the water-energy-food nexus, especially in representing hydrological uncertainties and variability. Rising [47] have compared integrated assessment models (IAMs) with water-energy-food (WEF) models, showing that IAM provides cost-benefit economic valuation, in opposition to WEF, which takes into consideration hydrological risks while IAMs do not.…”
Section: Introductionmentioning
confidence: 99%