ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 215-220, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-215-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
GIS AND GAME THEORY FOR WATER RESOURCE MANAGEMENT
N. Ganjali1 and C. Guney2 1ITU, Informatics Institute, 80626 Maslak Istanbul, Turkey
2ITU, Dept. of Geomatic Engineering, Maslak Istanbul, Turkey
Keywords: Game Theory, Geographical Information Systems, Water Management, Water Resources Abstract. In this study, aspects of Game theory and its application on water resources management combined with GIS techniques are detailed. First, each term is explained and the advantages and limitations of its aspect is discussed. Then, the nature of combinations between each pair and literature on the previous studies are given. Several cases were investigated and results were magnified in order to conclude with the applicability and combination of GIS- Game Theory- Water Resources Management. It is concluded that the game theory is used relatively in limited studies of water management fields such as cost/benefit allocation among users, water allocation among trans-boundary users in water resources, water quality management, groundwater management, analysis of water policies, fair allocation of water resources development cost and some other narrow fields. Also, Decision-making in environmental projects requires consideration of trade-offs between socio-political, environmental, and economic impacts and is often complicated by various stakeholder views. Most of the literature on water allocation and conflict problems uses traditional optimization models to identify the most efficient scheme while the Game Theory, as an optimization method, combined GIS are beneficial platforms for agent based models to be used in solving Water Resources Management problems in the further studies.
Conference paper (PDF, 874 KB)


Citation: Ganjali, N. and Guney, C.: GIS AND GAME THEORY FOR WATER RESOURCE MANAGEMENT, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 215-220, https://doi.org/10.5194/isprs-annals-IV-4-W4-215-2017, 2017.

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