Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone
Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone
复制标题
结合实验和建模方法来监测人工示踪剂通过潜流带的运输
作者：
C. Houzé;V. Durand;C. Mügler;M. Pessel;G. Monvoisin;C. Courbet;C. Noûs
为了推进用于调查的潜流区（HZ）混合过程的方法，本文结合实验和建模工具，跟踪示踪剂注入到河流和渗透到HZ。将高浓度氯化钠溶液注入河流中;监测（i）河流电导率，（ii）电阻率断层扫描（ERT）的河床电阻率和（iii）HZ内垂直分布的氯化物浓度。ERT和浓度测量均显示示踪剂的渗透深度为35 cm，并且在注射后部分恢复，这在根据ERT初始图像发现更具电阻性的浅层内更快。建模方法使用HydroGeoSphere代码对河流地表水流与HZ地下水流和运输过程之间的耦合进行建模。该模型包括一个50 cm高的现有河床台阶，HZ饱和导水率和含水层排放通量的垂直对比。拟合垂直氯离子剖面，调整值为5 × 10−2 m s−1的河床下的第一个高渗透层的饱和导水率，和4 × 10−6 m s−1的含水层排放通量。底层的饱和导水率被认为是至少10倍低于第一层内的值。数值模拟结果表明，地下水流量和河床第一沉积层饱和导水率是控制混合的两个主要参数。河床台阶被认为是不太重要的，在这里相比，这两个参数。实验和建模工具的结合使我们能够量化含水层流量，这是复杂的实地调查没有任何模型。这项研究的结果表明，结合模型与ERT和垂直分布的氯化物采样允许的主要因素控制的hyporheic交换的量化。
In order to advance methodologies used in the investigation of Hyporheic Zone (HZ) mixing processes, this article combines experimental and modelling tools to follow a tracer injected into the river and infiltrating into the HZ. A highly concentrated sodium chloride solution was injected into the river; (i) the river conductivity, (ii) the riverbed resistivity by Electrical Resistivity Tomography (ERT) and (iii) vertically distributed chloride concentrations within the HZ were monitored. Both ERT and concentration measurements showed an infiltration depth of the tracer of 35 cm, and a partial recovery after injection, which was faster within the superficial layer that was found to be more resistive according to the ERT initial image. The modelling approach used the HydroGeoSphere code to model the coupling between river surface flows and HZ groundwater flows and transport processes. The model set‐up involved a 50 cm high existing riverbed step, a vertical contrast in HZ saturated hydraulic conductivity and the aquifer discharge flux. Fitting the vertical chloride profile, the adjusted values were 5 × 10−2 m s−1 for the saturated hydraulic conductivity of the first highly permeable layer below the riverbed, and 4 × 10−6 m s−1 for the aquifer discharge flux. The bottom layer saturated hydraulic conductivity was found to be at least 10 times lower than the value within the first layer. Numerical simulations showed that the two main parameters controlling the mixing within the HZ were the groundwater discharge and the saturated hydraulic conductivity first sediment layer of the riverbed. The riverbed step was found to be less significant here compared to these two parameters. The combination of experimental and modelling tools allowed us to quantify the aquifer discharge flux, which is complicated to investigate in the field without any model. Results of this study showed that combining modelling with ERT and vertically distributed chloride sampling allows the quantification of the main factors controlling the hyporheic exchange.
增进我们对河流廊道交换的预测性理解
DOI：
10.1002/wat2.1327
发表时间：
2018
期刊：
Wiley Interdisciplinary Reviews: Water
影响因子：
--
作者：
Ward, Adam S.;Packman, Aaron I.
通讯作者：
Packman, Aaron I.
五级山间溪流网络河流廊道交换的时空变化
影响因子：
6.3
作者：
Ward, Adam S.;Wondzell, Steven M.;Schmadel, Noah M.;Herzog, Skuyler;Zarnetske, Jay P.;Baranov, Viktor;Blaen, Phillip J.;Brekenfeld, Nicolai;Chu, Rosalie;Derelle, Romain
通讯作者：
Derelle, Romain
探索跟踪器信息和模型框架权衡以改进流瞬态存储过程的估计
影响因子：
5.4
作者：
Kelleher, Christa;Ward, Adam;Knapp, J. L. A.;Blaen, P. J.;Kurz, M. J.;Drummond, J. D.;Zarnetske, J. P.;Hannah, D. M.;Mendoza‐Lera, C.;Schmadel, N. M.
通讯作者：
Schmadel, N. M.