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A provider-based water planning and management model - WaterSim 4.0 - For the Phoenix Metropolitan Area

机译:基于提供商的水计划和管理模型-WaterSim 4.0-凤凰城地区

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Uncertainty in future water supplies for the Phoenix Metropolitan Area (Phoenix) are exacerbated by the near certainty of increased, future water demands; water demand may increase eightfold or more by 2030 for some communities. We developed a provider-based water management and planning model for Phoenix termed WaterSim 4.0. The model combines a FORTRAN library with Microsoft C# to simulate the spatial and temporal dynamics of current and projected future water supply and demand as influenced by population demographics, climatic uncertainty, and groundwater availability. This paper describes model development and rationale. Water providers receive surface water, groundwater, or both depending on their portfolio. Runoff from two riverine systems supplies surface water to Phoenix while three alluvial layers that underlie the area provide groundwater. Water demand was estimated using two approaches. One approach used residential density, population projections, water duties, and acreage. A second approach used per capita water consumption and separate population growth estimates. Simulated estimates of initial groundwater for each provider were obtained as outputs from the Arizona Department of Water Resources (ADWR) Salt River Valley groundwater flow model (GFM). We compared simulated estimates of water storage with empirical estimates for modeled reservoirs as a test of model performance. In simulations we modified runoff by 80%-110% of the historical estimates, in 5% intervals, to examine provider-specific responses to altered surface water availability for 33 large water providers over a 25-year period (2010-2035). Two metrics were used to differentiate their response: (1) we examined groundwater reliance (GWR; that proportion of a providers' portfolio dependent upon groundwater) from the runoff sensitivity analysis, and (2) we used 100% of the historical runoff simulations to examine the cumulative groundwater withdrawals for each provider. Four groups of water providers were identified, and discussed. Water portfolios most reliant on Colorado River water may be most sensitive to potential reductions in surface water supplies. Groundwater depletions were greatest for communities who were either 100% dependent upon groundwater (urban periphery), or nearly so, coupled with high water demand projections. On-going model development includes linking WaterSim 4.0 to the GFM in order to more precisely model provider-specific estimates of groundwater, and provider-based policy options that will enable "what-if' scenarios to examine policy trade-offs and long-term sustainability of water portfolios.%Decision Center for a Desert City, Global Institute of Sustainability, Arizona State University, PO Box 878209, Tempe, AZ 85287-8209, USA ;Decision Theater, Global Institute of Sustainability, Arizona State University, PO Box 878409, Tempe, AZ 85287-8409, USA;Decision Center for a Desert City, Global Institute of Sustainability, Arizona State University, PO Box 878209, Tempe, AZ 85287-8209, USA ;Decision Theater, Global Institute of Sustainability, Arizona State University, PO Box 878409, Tempe, AZ 85287-8409, USA;Decision Center for a Desert City, Global Institute of Sustainability, Arizona State University, PO Box 878209, Tempe, AZ 85287-8209, USA;
机译:凤凰城都会区(凤凰城)未来供水的不确定性因未来供水需求的增加几乎可以肯定而加剧。到2030年,某些社区的用水需求可能会增加八倍或更多。我们为Phoenix开发了基于提供商的水管理和计划模型,称为WaterSim 4.0。该模型将FORTRAN库与Microsoft C#结合在一起,以模拟受人口统计,气候不确定性和地下水可用性影响的当前和预计的未来水供应和需求的时空动态。本文介绍了模型的开发和原理。供水者将根据其投资组合获得地表水,地下水或两者。来自两个河流系统的径流为凤凰城提供了地表水,而位于该地区下方的三个冲积层则为地下水提供了水。使用两种方法估算了需水量。一种方法是使用居民密度,人口预测,水务和面积。第二种方法是使用人均用水量和单独的人口增长估算值。从亚利桑那州水资源部(ADWR)盐河谷地下水流量模型(GFM)的输出中获得了每个提供者的初始地下水的模拟估算值。我们将模拟储水量的估算值与模拟储层的经验估算值进行了比较,以此作为对模型性能的检验。在模拟中,我们以5%的间隔将径流量修改了历史估算值的80%-110%,以检查25年内(2010-2035年)33家大型供水公司对地表水可利用量变化的提供方特定响应。使用两个指标来区分它们的响应:(1)我们从径流敏感性分析中检查了地下水的依赖度(GWR;供应商投资组合中依赖于地下水的比例);(2)我们使用了100%的历史径流模拟来检查每个提供者的累计地下水抽取量。确定并讨论了四组水供应商。最依赖科罗拉多河水的水资源组合可能对地表水供应的潜在减少最为敏感。对于那些100%依赖于地下水(城市外围地区)或接近100%依赖于高用水量预测的社区,地下水耗竭最大。正在进行的模型开发包括将WaterSim 4.0与GFM链接起来,以便更精确地为特定于提供者的地下水估算建模,以及基于提供者的政策选择,这些选择将使“假设分析”方案能够研究政策的权衡和长期水投资组合的可持续性。%亚利桑那州立大学全球可持续发展研究所沙漠城市决策中心,美国亚利桑那州坦佩市PO Box 878209;美国亚利桑那州85287-8209;亚利桑那州立大学全球可持续发展研究所决策剧院,PO Box 878409 ,美国亚利桑那州坦佩85287-8409;亚利桑那州立大学全球可持续发展研究所荒漠城市决策中心,美国亚利桑那州85287-8209美国坦佩市邮政信箱878209;美国亚利桑那州立大学全球可持续发展研究所决策厅,邮政信箱878409,美国亚利桑那州85287-8409;沙漠城市决策中心,亚利桑那州立大学全球可持续发展研究所,邮政信箱878209,美国亚利桑那州85287-8209;

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