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Linking riparian dynamics and groundwater: An ecohydrologic approach to modeling groundwater and riparian vegetation

机译:将河岸动力学和地下水联系起来:一种模拟地下水和河岸植被的生态水文方法

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The growing use of global freshwater supplies is increasing the need for improved modeling of the linkage between groundwater and riparian vegetation. Traditional groundwater models such as MODFLOW have been used to predict changes in regional groundwater levels, and thus riparian vegetation potential attributable to anthropogenic water use. This article describes an approach that improves on these modeling techniques through several innovations. First, evapotranspiration from riparian/wetland systems is modeled in a manner that more realistically reflects plant ecophysiology and vegetation complexity. In the authors' model programs (RIP-ET and PRE-RIP-ET), the single, monotonically increasing evapotranspiration flux curve in traditional groundwater models is replaced with a set of ecophysiologically based curves, one for each plant functional group present. For each group, the curve simulates transpiration declines that occur both as water levels decline below rooting depths and as waters rise to levels that produce anoxic soil conditions. Accuracy is further improved by more effective spatial handling of vegetation distribution, which allows modeling of surface elevation and depth to water for multiple vegetation types within each large model cell. The use of RIP-ET in groundwater models can improve the accuracy of basin scale estimates of riparian evapotranspiration rates, riparian vegetation water requirements, and water budgets. Two case studies are used to demonstrate that RIP-ET produces significantly different evapotranspiration estimates than the traditional method. When combined with vegetation mapping and a supporting program (RIP-GIS), RIP-ET also enables predictions of riparian vegetation response to water use and development scenarios. The RIP-GIS program links the head distribution from MODFLOW with surface digital elevation models, producing moderate- to high-resolution depth-to-groundwater maps. Together with information on plant rooting depths, these can be used to predict vegetation response to water allocation decisions. The different evapotranspiration outcomes produced by traditional and RIP-ET approaches affect resulting interpretations of hydro-vegetation dynamics, including the effects of groundwater pumping stress on existing habitats, and thus affect subsequent policy decisions.
机译:全球淡水供应的使用日益增加,因此需要改进对地下水与河岸植被之间联系的建模的需求。传统的地下水模型(例如MODFLOW)已用于预测区域地下水位的变化,从而预测了人为用水的河岸植被潜力。本文介绍了一种通过多项创新对这些建模技术进行改进的方法。首先,以更现实地反映植物生态生理和植被复杂性的方式对河岸/湿地系统的蒸散量进行建模。在作者的模型程序(RIP-ET和PRE-RIP-ET)中,传统的地下水模型中的单调增加的蒸散通量曲线被一组基于生态生理学的曲线所取代,每个存在的植物功能组都有一条。对于每组,曲线模拟了蒸腾量的下降,这既发生在水位下降到生根深度以下时,又发生在水位上升到产生缺氧土壤条件的水平时。通过更有效地对植被分布进行空间处理,可以进一步提高准确性,该功能允许对每个大型模型单元中多种植被类型的水面高度和深度进行建模。在地下水模型中使用RIP-ET可以提高流域规模估算河岸蒸散率,河岸植被需水量和水预算的准确性。通过两个案例研究证明,与传统方法相比,RIP-ET产生的蒸散量估算值明显不同。与植被测绘和支持程序(RIP-GIS)结合使用时,RIP-ET还可以预测河岸植被对用水和开发情景的响应。 RIP-GIS程序将MODFLOW的水头分布与地面数字高程模型联系起来,生成中等到高分辨率的深度到地下水图。连同有关植物生根深度的信息,这些信息可用于预测植被对水分配决策的响应。传统方法和RIP-ET方法产生的不同蒸散结果影响对水生植被动力学的解释,包括地下水抽水压力对现有生境的影响,从而影响后续的政策决策。

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