Technical Papers
Aug 15, 2013

Complex Adaptive Systems Approach to Simulate the Sustainability of Water Resources and Urbanization

Publication: Journal of Water Resources Planning and Management
Volume 139, Issue 5

Abstract

Urban water resources should be managed to meet conflicting demands for environmental health, economic prosperity, and social equity for present and future generations. While the sustainability of water resources can depend on dynamic interactions among natural, social, and infrastructure systems, typical water resource planning and management approaches are based on methodologies that ignore feedbacks and adaptations among these systems. This research develops and demonstrates a new complex adaptive systems approach to model the dynamic interactions among population growth, land-use change, the hydrologic cycle, residential water use, and interbasin transfers. Agent-based and cellular automaton models, representing consumers and policymakers who make land- and water-use decisions, are coupled with hydrologic models. The framework is applied for an illustrative case study to simulate urbanization and the water supply system over a long-term planning horizon. Results indicate that interactions among the decentralized decisions of individual residents can significantly influence system-wide sustainability. Adaptive management policies are included to restrict the water use and land use of consumers as the availability of water decreases. These strategies are simulated and assessed based on their abilities to increase the sustainability of the water supply system under the stresses of population growth, land-use change, and drought.

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Acknowledgments

This material is based on work supported by the National Science Foundation under Grant ECC-0926893. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors express their thanks and appreciation to the City of Arlington and Tarrant Regional Water District for their help and sharing of valuable reports, data, and insights.

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 139Issue 5September 2013
Pages: 554 - 564

History

Received: Sep 30, 2011
Accepted: Jul 3, 2012
Published online: Aug 15, 2013
Published in print: Sep 1, 2013
Discussion open until: Jan 15, 2014

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Authors

Affiliations

M. H. Giacomoni [email protected]
M.ASCE
M.Sc., Graduate Research Assistant, Environmental and Water Resources Engineering, Zachry Dept. of Civil Engineering, Texas A&M Univ., 212-E Wisenbaker Engineering Research Center, 3136 TAMU, College Station, TX 77843-3136 (corresponding author). E-mail: [email protected]
L. Kanta, Ph.D. [email protected]
M.ASCE
Postdoctoral Researcher, Environmental and Water Resources Engineering, Zachry Dept. of Civil Engineering, Texas A&M Univ., 205-T Wisenbaker Engineering Research Center, 3136 TAMU, College Station, TX 77843-3136. E-mail: [email protected]
E. M. Zechman, Ph.D. [email protected]
M.ASCE
Assistant Professor, Department of Civil, Construction, and Environmental Engineering, North Carolina State Univ., CB 7908, Raleigh, NC 27695. E-mail: [email protected]

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