TY - JOUR
T1 - Optimal water and waste-load allocations in rivers using a fuzzy transformation technique
T2 - A case study
AU - Nikoo, Mohammad Reza
AU - Kerachian, Reza
AU - Karimi, Akbar
AU - Azadnia, Ali Asghar
N1 - Funding Information:
Acknowledgments The authors would like to acknowledge the financial support of the University of Tehran for this research under grant number 8102060/1/02.
PY - 2013/3
Y1 - 2013/3
N2 - In this paper, a new methodology is developed for integrated allocation of water and waste-loads in river basins utilizing a fuzzy transformation method (FTM). The fuzzy transformation method is used to incorporate the existing uncertainties in model inputs. In the proposed methodology, the FTM, as a simulation model, is utilized in an optimization framework for constructing a fuzzy water and waste-loads allocation model. In addition, economic as well as environmental impacts of water allocation to different water users are considered. For equitable water and waste load allocation, all possible coalition of water users are considered and total benefit of each coalition, which is a fuzzy number, is reallocated to water users who are participating in the coalition. The fuzzy cost savings are reallocated using a fuzzy nucleolus cooperative game and the FTM. As a case study, the Dez River system in south-west of Iran is modeled and analyzed using the methodology developed here. The results show the effectiveness of the methodology in optimal water and waste-loads allocations under uncertainty.
AB - In this paper, a new methodology is developed for integrated allocation of water and waste-loads in river basins utilizing a fuzzy transformation method (FTM). The fuzzy transformation method is used to incorporate the existing uncertainties in model inputs. In the proposed methodology, the FTM, as a simulation model, is utilized in an optimization framework for constructing a fuzzy water and waste-loads allocation model. In addition, economic as well as environmental impacts of water allocation to different water users are considered. For equitable water and waste load allocation, all possible coalition of water users are considered and total benefit of each coalition, which is a fuzzy number, is reallocated to water users who are participating in the coalition. The fuzzy cost savings are reallocated using a fuzzy nucleolus cooperative game and the FTM. As a case study, the Dez River system in south-west of Iran is modeled and analyzed using the methodology developed here. The results show the effectiveness of the methodology in optimal water and waste-loads allocations under uncertainty.
KW - Fuzzy transformation
KW - Game theory
KW - Water and waste-load allocation
KW - Water quality
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U2 - 10.1007/s10661-012-2726-6
DO - 10.1007/s10661-012-2726-6
M3 - Article
C2 - 22773144
AN - SCOPUS:84874987214
SN - 0167-6369
VL - 185
SP - 2483
EP - 2502
JO - Environmental Monitoring and Assessment
JF - Environmental Monitoring and Assessment
IS - 3
ER -