TY - JOUR
T1 - A Nonlinear Interval Model for Water and Waste Load Allocation in River Basins
AU - Nikoo, Mohammad Reza
AU - Kerachian, Reza
AU - Karimi, Akbar
N1 - Funding Information:
Acknowledgements Technical contribution made by Mr. P. H. B. Beigloo is hereby acknowledged. The authors would like to acknowledge the financial support of the University of Tehran for this research under grant number 8102060/1/01.
PY - 2012/8
Y1 - 2012/8
N2 - In this paper, a new methodology is proposed for simultaneous allocation of water and waste load in river basins. A nonlinear interval number optimization model is used to incorporate the uncertainties of model inputs and parameters. In this methodology, the bounds of the uncertain inputs are only required, not necessarily knowing their probability density or fuzzy membership functions. In the proposed model, the existing uncertainties in water demands and monthly available water are considered in the optimization model. Also the economic and environmental impacts of water allocation to the agricultural water users are taken into account. To have an equitable water and waste load allocation, benefits are reallocated to water users using some solution concepts of the cooperative game theory. Results of applying the methodology to the Dez river system in south-western part of Iran show its effectiveness and applicability for water and waste load allocation in an uncertain environment.
AB - In this paper, a new methodology is proposed for simultaneous allocation of water and waste load in river basins. A nonlinear interval number optimization model is used to incorporate the uncertainties of model inputs and parameters. In this methodology, the bounds of the uncertain inputs are only required, not necessarily knowing their probability density or fuzzy membership functions. In the proposed model, the existing uncertainties in water demands and monthly available water are considered in the optimization model. Also the economic and environmental impacts of water allocation to the agricultural water users are taken into account. To have an equitable water and waste load allocation, benefits are reallocated to water users using some solution concepts of the cooperative game theory. Results of applying the methodology to the Dez river system in south-western part of Iran show its effectiveness and applicability for water and waste load allocation in an uncertain environment.
KW - Nonlinear interval optimization
KW - River basins
KW - Waste load allocation
KW - Water allocation
KW - Water quality
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U2 - 10.1007/s11269-012-0056-7
DO - 10.1007/s11269-012-0056-7
M3 - Article
AN - SCOPUS:84862590387
SN - 0920-4741
VL - 26
SP - 2911
EP - 2926
JO - Water Resources Management
JF - Water Resources Management
IS - 10
ER -