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Statistical downscaling of GCM simulations to streamflow using relevance vector machine
General circulation models (GCMs), the climate models often used in assessing the impact of climate change, operate on a coarse scale and thus the simulation results obtained from GCMs are notExpand
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Grey fuzzy optimization model for water quality management of a river system
TLDR
A grey fuzzy optimization model is developed for water quality management of river system to address uncertainty involved in fixing the membership functions for different goals of Pollution Control Agency (PCA) and dischargers. Expand
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A two-phase grey fuzzy optimization approach for water quality management of a river system
An extension of the Grey Fuzzy Waste Load Allocation Model (GFWLAM) developed in an earlier work is presented here to address the problem of multiple solutions. Formulation of GFWLAM is based on theExpand
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Modeling GCM and scenario uncertainty using a possibilistic approach: Application to the Mahanadi River, India
Climate change impact assessment on water resources with downscaled General Circulation Model (GCM) simulation output is characterized by uncertainty due to incomplete knowledge about the underlyingExpand
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An imprecise fuzzy risk approach for water quality management of a river system.
Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables andExpand
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Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment
Hydrologic implications of global climate change are usually assessed by downscaling appropriate predictors simulated by general circulation models (GCMs). Results from GCM simulations are subjectedExpand
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Climate change impact assessment: Uncertainty modeling with imprecise probability
Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Model (GCM) output of large-scale climate variables to local-scale hydrologic variables. Such anExpand
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A fuzzy risk approach for seasonal water quality management of a river system.
[1] A fuzzy optimization model is developed for the seasonal water quality management of river systems. The model addresses the uncertainty in a water quality system in a fuzzy probability framework.Expand
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Optimal reservoir operation for irrigation of multiple crops
A model for the optimal operating policy of a reservoir for irrigation under a multiple crops scenario using stochastic dynamic programming (SDP) is developed. Tntraseasonal periods smaller than theExpand
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Future rainfall scenario over Orissa with GCM projections by statistical downscaling
The article presents a methodology for examining future rainfall scenario using fuzzy clustering technique from the General Circulation Model (GCM) projections. GCMs might capture large-scaleExpand
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