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Coupling biophysical processes and water rights to simulate spatially distributed water use in an intensively managed hydrologic system

机译:耦合生物物理过程和水权在集中管理的水文系统中模拟空间分布的用水

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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 water-rights-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:人类显着改变了集中管理水文系统中水的再分配,转化了地表水的时空模式。评估水可用性需要整合水文过程和相关人体影响。在这项研究中,我们总结了一个可扩展水文模型的发展和评估,该模型明确地将水权融入美国西部半干旱农业区的空间分布水域,使用了Envision综合建模平台。该模型捕获了人和生物物理系统,特别是来自博伊西河的水的转移,这是在该地区支持灌溉农业的主要水源。在农业领域,估计水需求作为作物类型和地方环境条件的函数。表面水与作物需求达到溪流,由流中可用的水,水权拨款金额和与特定使用场所相关的优先级约束约束。结果,通过研究区域内的流动流和运河位置测量的结果,表明灌溉活动对通过这种集中管理系统流动的幅度和时序的影响很好地捕获。从博伊西河的多年平均转移水比较良好的观察,反映了根据水权数据库的水的拨款。由于地表分流的空间上明确实施,该模型可以帮助诊断水资源可能不足以满足农业需求的地方和时间,并告知未来的水管理决策。

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