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Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India

Reema Gupta1 , B. K. Singh2 , Gaurav Agarwal3

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.4 , pp.192-197, Aug-2018


CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i4.192197


Online published on Aug 31, 2018


Copyright © Reema Gupta, B. K. Singh, Gaurav Agarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Reema Gupta, B. K. Singh, Gaurav Agarwal, “Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.4, pp.192-197, 2018.

MLA Style Citation: Reema Gupta, B. K. Singh, Gaurav Agarwal "Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India." International Journal of Scientific Research in Mathematical and Statistical Sciences 5.4 (2018): 192-197.

APA Style Citation: Reema Gupta, B. K. Singh, Gaurav Agarwal, (2018). Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India. International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(4), 192-197.

BibTex Style Citation:
@article{Gupta_2018,
author = {Reema Gupta, B. K. Singh, Gaurav Agarwal},
title = {Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {8 2018},
volume = {5},
Issue = {4},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {192-197},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=726},
doi = {https://doi.org/10.26438/ijcse/v5i4.192197}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i4.192197}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=726
TI - Application of Game Theoretical Model for Water Management in Rajkot City, Gujarat, India
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - Reema Gupta, B. K. Singh, Gaurav Agarwal
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 192-197
IS - 4
VL - 5
SN - 2347-2693
ER -

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Abstract :
Water is essential for the existence of society and needs in all human activities. In the present study, a game theoretical model developed to encourage the maximization of the public benefits in water distribution management in Rajkot city for different players. The present study concludes that Rajkot city demand-supply gap is 33 MLD and is expected to increase to 119 MLD and 236 MLD by 2035 and 2050 respectively. By 2035, when the population of Rajkot city grows to 21 lakh, the present water capacity would be insufficient to provide almost 50% of the city. This gap is continually increasing day by day as population increases and will become double in the year 2050. In the present study, five user game-theoretical model formulated for five players (industry, public, institutional, domestic and UFW) to minimize water demand supply gap based on current water supply in Rajkot city from all five water sources i.e. Ajii-I, Narmada, Nyari-I, Bhadar, Nyari-II. Asymmetric Nash bargaining approach is used to develop a game-theoretic model for the optimization of the weighted Nash product to obtain the actual solutions. From the study, it concluded that there is no water distribution strategy which satisfies the need of domestic users with current water distribution system. It calls for the establishment of new sources of water supply, their conservation, and optimal utilization.

Key-Words / Index Term :
Water demand-supply gap, Water management, Game theory, Game theoretic model

References :
[1] L. J. M. Zbigniew and W. Kundzewicz, “Freshwater resources and their management,” World Water, pp. 173–210, 2007.
[2] A. Keller, R. Sakthivadivel, and D. Seckler, “Water scarcity and the role of storage in development,” Water Manag., Vol. 39, pp. 1–24, 2000.
[3] Central Water Commission, “Reassessment of Water Resources Potential of India,” 1999.
[4] A. Georgakakos et al., “Climate change impacts in the United States,” Third Natl. Clim. …, pp. 69–112, 2014.
[5] Harinarayan Tiwari, N. Sharma, A. Khan, and S. P. Rai, “Water Resources in India : A view from third eye,” in India Water Week 4-8 April 2016: “Water for All- Striving Together” Water, 2016, pp. 1–13.
[6] A. McIntosh and J. Pontius, “Global Water Resources,” Case Stud. Integr. Sci. Glob. Environ., pp. 113–254, 2017.
[7] R. Supalla, B. Klaus, O. Yeboah, and R. Bruins, “A game theory approach to deciding who will supply instream flow water,” J. Am. Water Resour. Assoc., vol. 38, no. 4, pp. 959–966, 2002.
[8] M. Homayounfar, M. Zomorodian, C. J. Martinez, and S. H. Lai, “Two Monthly Continuous Dynamic Model Based on Nash Bargaining Theory for Conflict Resolution in Reservoir System,” PLoS One, vol. 10, no. 12, p. e0143198, 2015.
[9] M. Karamouz, M. Akhbari, A. Moridi, and R. Kerachian, “A system dynamics-based conflict resolution model for river water quality management,” J. Environ. Heal. Sci. Eng., vol. 3, no. 3, pp. 147–160, 2006.
[10] S. Wei and A. Gnauck, “Game theory based water quality models for reservoir management,” Proc. EnviroInfo Warsaw 2007 Environ. Informatics Syst. Res. Vol. 1 Plenary Sess. Pap. Warsaw Pol., pp. 363–370, 2007.
[11] K. Madani, “Game theory and water resources,” J. Hydrol., vol. 381, no. 3–4, pp. 225–238, 2010.
[12] N. Mahjouri and M. Ardestani, “A game theoretic approach for interbasin water resources allocation considering the water quality issues,” Environ. Monit. Assess., vol. 167, no. 1–4, pp. 527–544, 2010.
[13] W. Zhanping and T. Juncang, “Optimal Allocation of Regional Water Resources Based on Genetic Algorithms,” J. Converg. Inf. Technol., vol. 7, no. 13, pp. 437–445, 2012.
[14] A. Ahmadi, “Water Distribution as a no Cooperative Game,” vol. 13, no. 3, 2013.

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