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Assessing causes and identifying solutions for high groundwater levels in a highly managed irrigated region

机译:评估高度管理灌溉区域中高地地下水位的原因和识别解决方案

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摘要

High groundwater levels in urban and irrigated areas around the world can lead to infrastructure damage, land degradation, and crop yield reduction. Causes can include groundwater flooding due to fluvial processes, excess rainfall and irrigation, inadequate subsurface drainage, and additional sources such as injection and seepage from earthen canals and recharge ponds. The principal causes of shallow water tables, however, are difficult to quantify due to the inter-connectedness of all possible causes. This paper presents a method to analyze and quantify the cause of high groundwater levels in highly managed, irrigated stream-aquifer systems, using a combination of numerical groundwater flow modeling and global sensitivity analysis (GSA) tools. A tested MODFLOW groundwater model and Sobol GSA methods are used to simulate and then quantify the influence of all major groundwater stresses on water table elevation for a region in northern Colorado, USA experiencing high groundwater levels, with results showing that recharge from surface water irrigation, canal seepage, and groundwater pumping have the strongest influence on water table elevation, whereas precipitation recharge and recharge from groundwater irrigation have small influences. Time series sensitivity plots quantify the seasonality of these influences over a decadal period, and spatial sensitivity plots indicate regions that are strongly influenced by individual stresses. Results from best management practice (BMP) implementation indicate that limiting canal seepage and transitioning > 50 % of cultivated fields from surface water irrigation to groundwater irrigation can decrease water table elevation by 1.5m-3m over a 5-year period, leading to beneficial conditions for crop growth in the root zone and dewatering of subsurface infrastructure. These methods can be applied to any waterlogged region worldwide. However, proposed management practices to lower water table may be constrained by local, state, or national water law.
机译:世界各地城市和灌溉地区的高地下水位可能导致基础设施损坏,土地退化和作物产量减少。由于河流过程,过量的降雨量和灌溉,地下沟渠不足,以及来自土运河的注射和渗流等额外来源,导致的原因可能包括地下水洪水。然而,由于所有可能原因的连通性相互关联,浅水表的主要原因难以量化。本文采用了使用数值地下水模型和全局敏感性分析(GSA)工具的组合来分析和量化高度管理的灌溉流含水系统中高层灌溉流含水系统中高层地下水位的原因的方法。使用测试的Modflow地下水模型和Sobol GSA方法来模拟,然后量化所有主要地下水应力对北部科罗拉多州北部的地区水位高度的影响,结果表明从地表水灌溉中充电,运河渗流和地下水泵对水台升高有最强的影响,而地下水灌溉的降水充电并充电有很小的影响。时间序列灵敏度图量化了这些影响的季节性,在截止周期内,空间敏感性图表明了受各个压力受到强烈影响的地区。最佳管理实践(BMP)实施结果表明,限制运河渗流和过渡> 50%的地表水灌溉到地下水灌溉的耕田可以在5年内将水位高度降低1.5米-3米,导致有益条件用于根区的作物生长和地下基础设施的脱水。这些方法可以应用于全球的任何涝渍区域。但是,拟议的管理措施降低水位可能受到地方,州或国家水法的限制。

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