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A comparison of particle-tracking and solute transport methods for simulation of tritium concentrations and groundwater transit times in river water

机译:粒子追踪和溶质运移方法的比较,用于模拟river水中的concentrations浓度和地下水传输时间

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The purpose of this study is to simulate tritium concentrations and groundwater transit times in river water with particle-tracking (MODPATH) and compare them to solute transport (MT3DMS) simulations. Tritium measurements in river water are valuable for the calibration of particle-tracking and solute transport models as well as for understanding of watershed storage dynamics. In a previous study, we simulated tritium concentrations in river water of the western Lake Taupo catchment (WLTC) using a MODFLOW-MT3DMS model (Gusyev et al., 2013). The model was calibrated to measured tritium in river water at baseflows of the Waihaha, Whanganui, Whareroa, Kuratau, and Omori river catchments of the WLTC. Following from that work we now utilized the same MODFLOW model for the WLTC to calculate the pathways of groundwater particles (and their corresponding tritium concentrations) using steady-state particle tracking MODPATH model. In order to simulate baseflow tritium concentrations with MODPATH, transit time distributions (TTDs) are necessary to understand the lag time between the entry and discharge points of a tracer and are generated for the river networks of the five WLTC outflows. TTDs are used in the convolution integral with an input tritium concentration time series obtained from the precipitation measurements. The resulting MODPATH tritium concentrations yield a very good match to measured tritium concentrations and are similar to the MT3DMS-simulated tritium concentrations, with the greatest variation occurring around the bomb peak. MODPATH and MT3DMS also yield similar mean transit times (MTTs) of groundwater contribution to river baseflows, but the actual shape of the TTDs is strikingly different. While both distributions provide valuable information, the methodologies used to derive the TTDs are fundamentally different and hence must be interpreted differently. With the current MT3DMS model settings, only the methodology used with MODPATH provides the true TTD for use with the convolution integral.
机译:这项研究的目的是通过粒子追踪(MODPATH)模拟河水中tri的浓度和地下水的迁移时间,并将其与溶质运移(MT3DMS)模拟进行比较。河流水中的t测量对于标定颗粒追踪和溶质运移模型以及了解流域存储动态非常有价值。在先前的研究中,我们使用MODFLOW-MT3DMS模型模拟了陶波湖西部流域(WLTC)河水中的tri浓度(Gusyev等,2013)。对该模型进行了校准,以测量WLTC的Waihaha,Whanganui,Whareroa,Kuratau和Omori河集水区底流中河水中的tri。从这项工作之后,我们现在使用相同的MODFLOW模型用于WLTC,使用稳态粒子跟踪MODPATH模型来计算地下水颗粒(及其对应的concentrations浓度)的路径。为了使用MODPATH模拟基流tri浓度,需要经过时间分布(TTD)来了解示踪剂的入口和排放点之间的滞后时间,并且是为五个WLTC流出的河网生成的。 TTD与从降水测量获得的输入tri浓度时间序列一起用于卷积积分。最终产生的MODPATH tri浓度与测得的concentrations浓度非常匹配,并且与MT3DMS模拟的concentrations浓度相似,最大变化发生在炸弹峰附近。 MODPATH和MT3DMS也得出相似的地下水对河流基流的平均通过时间(MTT),但是TTD的实际形状却截然不同。虽然两种分布都提供了有价值的信息,但用于推导TTD的方法却根本不同,因此必须以不同的方式解释。在当前的MT3DMS模型设置下,只有与MODPATH一起使用的方法才可以提供与卷积积分一起使用的真实TTD。

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