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Coupling Biophysical Processes and Water Rights To Simulate Spatially Distributed Water Use in an Intensively Managed Hydrologic System

机译:在集约化水文系统中耦合生物物理过程和水权以模拟空间分布式用水

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摘要

Humans have significantly altered the redistribution of water in intensively managed hydrologic systems, shifting the spatiotemporal patterns of surface water. Evaluating water availability requires integration of hydrologic processes and associated human influences. In this study, we summarize the development and evaluation of an extensible hydrologic model that explicitly integrates water rights to spatially distribute irrigation waters in a semi-arid agricultural region in the western US, using the Envision integrated modeling platform. The model captures both human and biophysical systems, particularly the diversion of water from the Boise River, which is the main water source that supports irrigated agriculture in this region. In agricultural areas, water demand is estimated as a function of crop type and local environmental conditions. Surface water to meet crop demand is diverted from the stream reaches, constrained by the amount of water available in the stream, the waterrights- appropriated amount, and the priority dates associated with particular places of use. Results, measured by flow rates at gaged stream and canal locations within the study area, suggest that the impacts of irrigation activities on the magnitude and timing of flows through this intensively managed system are well captured. The multi-year averaged diverted water from the Boise River matches observations well, reflecting the appropriation of water according to the water rights database. Because of the spatially explicit implementation of surface water diversion, the model can help diagnose places and times where water resources are likely insufficient to meet agricultural water demands, and inform future water management decisions.
机译:人类大大改变了集约化管理水文系统中水的重新分配,改变了地表水的时空格局。评估水的可用性需要整合水文过程和相关的人类影响。在这项研究中,我们总结了一个可扩展的水文模型的开发和评估,该模型使用Envision集成建模平台将水权明确整合到美国西部半干旱农业地区的灌溉用水的空间分布中。该模型涵盖了人类和生物物理系统,特别是从博伊西河(Boise River)的引水,博伊西河是支持该地区灌溉农业的主要水源。在农业地区,估计的需水量取决于作物类型和当地环境条件。满足作物需求的地表水从溪流中转移出来,受到溪流中可用水量,水权适用量以及与特定使用地点相关的优先日期的限制。通过研究区域内径流和渠道位置的流量测量的结果表明,灌溉活动对通过这种集约管理系统的流量的大小和时间的影响得到了很好的捕捉。博伊西河的多年平均分流水与观测值非常吻合,根据水权数据库反映了水的分配。由于在表面上实现了地面分水的空间明确执行,因此该模型可以帮助诊断水资源可能不足以满足农业用水需求的地点和时间,并为将来的水管理决策提供依据。

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