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Model evaluation of denitrification under rapid infiltration basin systems

机译:快速渗透池系统反硝化的模型评价

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Rapid Infiltration Basin Systems (RIBS) are used for disposing reclaimed wastewater into soil to achieve additional treatment before it recharges groundwater. Effluent from most new sequenced batch reactor wastewater treatment plants is completely nitrified, and denitrification (DNF) is the main reaction for N removal. To characterize effects of complex surface and subsurface flow patterns caused by non-uniform flooding on DNF, a coupled overland flow-vadose zone model is implemented in the multiphase flow and reactive transport simulator TOUGHREACT. DNF is simulated in two representative soils varying the application cycle, hydraulic loading rate, wastewater quality, water table depth, and subsurface heterogeneity. Simulations using the conventional specified flux boundary condition under-predict DNF by as much as 450% in sand and 230% in loamy sand compared to predictions from the coupled overland flow-vadose zone model, indicating that simulating coupled flow is critical for predicting DNF in cases where hydraulic loading rates are not sufficient to spread the wastewater over the whole basin. Smaller ratios of wetting to drying time and larger hydraulic loading rates result in greater water saturations, more anoxic conditions, and faster water transport in the vadose zone, leading to greater DNF. These results in combination with those from different water table depths explain why reported DNF varied with soil type and water table depth in previous field investigations. Across all simulations, cumulative percent DNF varies between 2 and 49%, indicating that NO_3 removal in RIBS may vary widely depending on operational procedures and subsurface conditions. These modeling results improve understanding of DNF in RIBS and suggest operational procedures that may improve NO_3 removal.
机译:快速渗透盆地系统(RIBS)用于将再生废水排入土壤,以在补充地下水之前进行进一步处理。大多数新的有序分批反应器废水处理厂的废水都被完全硝化,而脱氮(DNF)是去除氮的主要反应。为了表征由非均匀淹没引起的复杂地表和地下流动模式对DNF的影响,在多相流和反应性运输模拟器TOUGHREACT中实现了耦合的陆上流-渗流区模型。在两种具有代表性的土壤中模拟DNF,这些土壤会改变施用周期,水力负荷率,废水质量,地下水位深度和地下非均质性。与基于耦合陆面流-渗流带模型的预测相比,使用常规指定通量边界条件进行的模拟低估了砂中DNF的多达450%,而壤土砂中的DNF则高达230%,这表明模拟耦合流对于预测沙特阿拉伯的DNF至关重要。水力负荷率不足以将废水分散到整个流域的情况。较小的润湿时间与干燥时间之比和较大的水力负荷率会导致更大的水饱和度,更多的缺氧条件和更快的水在渗流带中的输送,从而导致更大的DNF。这些结果与来自不同地下水位深度的结果相结合,解释了为什么先前的田间调查报告的DNF随土壤类型和地下水位深度而变化。在所有模拟中,DNF的累积百分比在2%到49%之间变化,这表明RIBS中的NO_3去除率可能会因操作程序和地下条件的不同而有很大差异。这些建模结果提高了对RIBS中DNF的理解,并建议了可改善NO_3去除率的操作程序。

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