Design and Optimization of a Ground Water Monitoring System Using GIS and Multicriteria Decision Analysis |
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| Authors: | D. Dutta A. Das Gupta V. Ramnarong |
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| Affiliation: | Dushmanta Dutta;received an M.E. in water resources engineering from the School of Civil Engineering, Asian Institute of Technology (Bangkok, Thailand) in 1994. He is currently employed as a research associate in the International Center for Disaster Mitigation Engineering (INCEDE), University of Tokyo (INCEDE, IIS, University of Tokyo, 7-22-1 Roppongi, Minatoku, Tokyo 107, Japan, Fax: (+81-3)3402-4165, E-mail: dutta@incede.iis.u-tokyo.ac.jp). His major interests include hydrology and application of GIS and remote sensing in hydrology. Ashim Das Gupta;received a D. Engg. in water resources development from the Asian Institute of Technology, where he is currently employed as a professor in the Water Engineering &Management Program (School of Civil Engineering, AIT, P.O. Box 4, Klong Luang 12120, Bangkok, Thailand). His research interest is in ground water development and management, ground water monitoring, and evaluation and modeling of ground water systems. Vachi Ramnarong;received a Ph.D. in hydrology from Uppasala University in Sweden. She is currently employed as a research expert and project director in the Department of Mineral Resources, Ministry of Industry, Royal Thai Government (Rama VI Road, Bangkok - 10400, Thailand). Her current research interest is in hydrology, ground water development and management. She is the project director of Mitigation of Groundwater Crisis and Land Subsidence in Bangkok. |
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| Abstract: | A GIS-based methodology has been developed to design a ground water monitoring system and implemented for a selected area in Mae-Klong River Basin, Thailand. A multicriteria decision-making analysis has been performed to optimize the network system based on major criteria which govern the monitoring network design such as minimization of cost of construction, reduction of kriging standard deviations, etc. The methodology developed in this study is a new approach to designing monitoring networks which can be used for any site considering site-specific aspects. It makes it possible to choose the best monitoring network from various alternatives based on the prioritization of decision factors. |
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