Assessing the effects of water restrictions on socio-hydrologic resilience for shared groundwater systems

被引:31
作者
Al-Amin, Shams [1 ]
Berglund, Emily Z. [1 ]
Mahinthakumar, G. [1 ]
Larson, Kelli L. [2 ,3 ]
机构
[1] North Carolina State Univ, Civil Construct & Environm Engn, Raleigh, NC 27695 USA
[2] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
[3] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA
基金
美国国家科学基金会;
关键词
Agent-based model; Complex adaptive system; Groundwater management; Demand management; Water shortage; Sustainability index; MODEL; CLIMATE; DYNAMICS; GROWTH;
D O I
10.1016/j.jhydrol.2018.08.045
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Groundwater resources are shared across management boundaries. Multiple management units that differ in scale, constraints and objectives may manage a shared resource in a decentralized approach. The interactions among water managers, water users, and the water resource components influence the performance of management strategies and the resilience of community-level water supply and groundwater availability. This research develops an agent-based modeling (ABM) framework to capture the dynamic interactions among household-level consumers and policy makers to simulate water demands. The ABM is coupled with a groundwater model to evaluate effects on the groundwater table. The framework is applied to explore trade-offs between improvements in water supply sustainability for local resources and water table changes at the basin-level. A group of municipalities are simulated as agents who share access to a groundwater aquifer in Verde River Basin, Arizona. The framework provides a holistic approach to incorporate water user, municipal, and basin level objectives in evaluating water reduction strategies for long-term water resilience.
引用
收藏
页码:872 / 885
页数:14
相关论文
共 47 条
  • [21] Luke S., 2011, Multiagent Simulation and the MASON Library
  • [22] Maurer E.P., 2012, Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections
  • [23] Sociology and simulation: Statistical and qualitative cross-validation
    Moss, S
    Edmonds, B
    [J]. AMERICAN JOURNAL OF SOCIOLOGY, 2005, 110 (04) : 1095 - 1131
  • [24] Assessing groundwater policy with coupled economic- groundwater hydrologic modeling
    Mulligan, Kevin B.
    Brown, Casey
    Yang, Yi-Chen E.
    Ahlfeld, David P.
    [J]. WATER RESOURCES RESEARCH, 2014, 50 (03) : 2257 - 2275
  • [25] Nash J.E., 1970, J. Hydrol., P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
  • [26] Nelson J., 1999, American Water Works Association, P310
  • [27] Payson T.O., 2013, Town Of Payson Water Resources Management Status Report
  • [28] Pearson R.P., 2000, TECH REP
  • [29] Pool D., 2011, TECH REP
  • [30] Linking MODFLOW with an Agent-Based Land-Use Model to Support Decision Making
    Reeves, Howard W.
    Zellner, Moira L.
    [J]. GROUND WATER, 2010, 48 (05) : 649 - 660