2019
DOI: 10.3390/w11061174
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A New Scenario-Based Framework for Conflict Resolution in Water Allocation in Transboundary Watersheds

Abstract: One of the main causes of water conflicts in transboundary watersheds all over the world is represented by the increasing water demand due to urban, industrial, and agricultural development. In this context, water scarcity plays a critical role since, during a drought period, water supply is not sufficient to cover the demand of all water uses. In this work, we have conceptualized and developed a new scenario-based framework able to improve the sustainability and equity of water allocation among two or more ri… Show more

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Cited by 17 publications
(11 citation statements)
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References 31 publications
(33 reference statements)
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“…In particular, in its graphical visualization (PCA biplot), correlated parameters are represented by vectors that form an acute angle, while those that are uncorrelated are represented by perpendicular vectors. This technique has been extensively used for several applications related to water quality [19][20][21]. A detailed description of PCA and its applications can be found in the literature [22,23].…”
Section: Discussionmentioning
confidence: 99%
“…In particular, in its graphical visualization (PCA biplot), correlated parameters are represented by vectors that form an acute angle, while those that are uncorrelated are represented by perpendicular vectors. This technique has been extensively used for several applications related to water quality [19][20][21]. A detailed description of PCA and its applications can be found in the literature [22,23].…”
Section: Discussionmentioning
confidence: 99%
“…The goal of the clustering algorithm is to partition a complex dataset into homogeneous clusters, such that the between-group similarities are smaller than the within-group similarities [45,46]. These clusters can reveal patterns related to the phenomenon under study.…”
Section: Cluster Analysis For Watershed Selectionmentioning
confidence: 99%
“…The model was used before in several large basins of South America, including assessments of climate change impacts in the Amazon (Sorribas et al, 2016); potential impacts of dams on fluvial ecosystems (Forsberg et al, 2017); hydrological reanalysis FIGURE 2 | Modeling sub-regions of the Upper Paraguay basin (yellow = MGB model; pink = SIRIPLAN model) and gauges used for calibration (red points are boundary condition locations where streamflow time series calculated with MGB were transferred as input data to SIRIPLAN). (Wongchuig et al, 2019); water management scenarios in transboundary river basins (Gorgoglione et al, 2019); streamflow forecasting (Fan et al, 2015); and continental hydrological modeling for South America (Siqueira et al, 2018).…”
Section: Hydrologic Model Of the Upper Basin (Planalto) Input Data mentioning
confidence: 99%