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首页> 外文期刊>Hydrology and Earth System Sciences >Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution
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Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

机译:浅水表对水,沉积物和农药运输营养过滤条的影响 - 第1部分:非均匀浸润和土壤水分再分配

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Vegetation buffers like vegetative filter strips (VFSs) are often used to protect water bodies from surface runoff pollution from disturbed areas. Their typical placement in floodplains often results in the presence of a seasonal shallow water table (WT) that can decrease soil infiltration and increase surface pollutant transport during a rainfall-runoff event. Simple and robust components of hydrological models are needed to analyze the impacts of WT in the landscape. To simulate VFS infiltration under realistic rainfall conditions with WT, we propose a generic infiltration solution (Shallow Water table INfiltration algorithm: SWINGO) based on a combination of approaches by Salvucci and Entekhabi?(1995) and Chu?(1997) with new integral formulae to calculate singular times (time of ponding, shift time, and time to soil profile saturation). The algorithm was tested successfully on five distinct soils, both against Richards's numerical solution and experimental data in terms of infiltration and soil moisture redistribution predictions, and applied to study the combined effects of varying WT depth, soil type, and rainfall intensity and duration. The results show the robustness of the algorithm and its ability to handle various soil hydraulic functions and initial nonponding conditions under unsteady rainfall. The effect of a WT on infiltration under ponded conditions was found to be effectively decoupled from surface infiltration and excess runoff processes for depths larger than 1.2 to 2?m, being shallower for fine soils and shorter events. For nonponded initial conditions, the influence of WT depth also varies with rainfall intensity. Also, we observed that soils with a marked air entry (bubbling pressure) exhibit a distinct behavior with WT near the surface. The good performance, robustness, and flexibility of SWINGO supports its broader use to study WT effects on surface runoff, infiltration, flooding, transport, ecological, and land use processes. SWINGO is coupled with an existing VFS model in the companion paper (Lauvernet and Mu?oz-Carpena, 2018), where the potential effects of seasonal or permanent WTs on VFS sediment and pesticide trapping are studied.
机译:植被缓冲器等营养滤网(VFS)通常用于保护水体免受受到干扰区域的表面径流污染。它们在洪泛平原中的典型放置通常会导致季节性浅水表(WT)的存在,这可以降低土壤渗透,并在降雨径流活动期间增加表面污染物运输。需要简单且强大的水文模型组件来分析WT在景观中的影响。为了在具有WT的现实降雨条件下模拟VFS渗透,我们提出了一种仿制性渗透解决方案(浅水表渗透算法:Sypeo),基于Salvucci和Entekhabi的方法组合?(1995)和Chu?(1997),具有新的整体公式计算奇异时间(池塘的时间,换挡时间和土壤轮廓饱和时间)。该算法在五个不同的土壤上成功进行了测试,无论是在浸润和土壤水分再分配预测方面都针对Richards的数控和实验数据,并应用于研究不同WT深度,土壤类型和降雨强度和持续时间的组合效果。结果表明,算法的稳健性及其在不稳定降雨下处理各种土壤液压功能和初始非排出条件的能力。发现WT对浸润性的渗透在沉积条件下的效果有效地从表面浸润和过量的径流过程中解耦,深度大于1.2至2μm的深度,对于细土壤和更短的事件较浅。对于非纯化的初始条件,WT深度的影响也随着降雨强度而变化。此外,我们观察到具有标记空气入口(鼓泡压力)的土壤表现出与表面附近的不同行为。 Sypeo的良好表现,鲁棒性和灵活性支持其更广泛的用途,用于研究表面径流,渗透,洪水,运输,生态和土地利用流程的WT影响。 Swipo与Companion纸张(Lauvernet和Mu?Oz-Carpena,2018)中的现有VFS模型耦合,其中研究了季节性或永久性WTS对VFS沉积物和农药诱捕的潜在影响。

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