The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes
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| Title: | Main Title: The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes |
| Description: | Abstract: Riverbed hydraulic conductivity (K) is a critical parameter for the prediction of exchange fluxes between a river and an aquifer. In this study, the role of heterogeneity patterns was explored using the fully integrated hydrological model HydroGeoSphere simulating complex, variably saturated subsurface flow. A synthetic 3-D river-aquifer reference model was constructed with a heterogeneous riverbed using non-multi-Gaussian patterns in the form of meandering channels. Data assimilation was used to test the ability of different riverbed K patterns to reproduce hydraulic heads, riverbed K and river-aquifer exchange fluxes. Both fully saturated as well as variably saturated conditions underneath the riverbed were tested. The data assimilation experiments with the ensemble Kalman filter (EnKF) were carried out for four types of geostatistical models of riverbed K fields: (i) spatially homogeneous, (ii) heterogeneous with multi-Gaussian distribution, (iii) heterogeneous with non-multi-Gaussian distribution (channelized structures) and (iv) heterogeneous with non-multi-Gaussian distribution (elliptic structures). For all data assimilation experiments, state variables and riverbed K were updated by assimilating hydraulic heads. For saturated conditions, heterogeneous geostatistical models allowed a better characterization of net exchange fluxes than a homogeneous approximation. Among the three heterogeneous models, the performance of non-multi-Gaussian models was superior to the performance of the multi-Gaussian model, but the two tested non-multi-Gaussian models showed only small differences in performance from one another. For the variably saturated conditions both the multi-Gaussian model and the homogeneous model performed clearly worse than the two non-multi-Gaussian models. The two non-multi-Gaussian models did not show much difference in performance. This clearly shows that characterizing heterogeneity of riverbed K is important. Moreover, particularly under variably saturated flow conditions the mean and the variance of riverbed K do not provide enough information for exchange flux characterization and additional histogram information of riverbed K provides crucial information for the reproduction of exchange fluxes. |
| Identifier: | 10.1016/j.jhydrol.2017.09.031 (DOI) |
| Citation Advice: | Tang, Q., Kurtz, W., Schilling, O.S., Brunner, P., Vereecken, H., Hendricks Franssen, H.-J. (2017). The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes, Journal of Hydrology, 554, 383-396. |
Responsible Party
| Creators: | Qi Tang (Author), Wolfgang Kurtz (Author), Oliver S. Schilling (Author), Philip Brunner (Author), Harry Vereecken (Author), Harrie-Jan Hendricks-Franssen (Author) |
| Publisher: | ElSevier |
| Publication Year: | 2017 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | C6 |
| Subjects: | Keywords: Data Assimilation, Hydrological Modelling |
File Details
| Filename: | Tang_2017_JoH.pdf |
| Data Type: | Text - Article |
| File Size: | 2.4 MB |
| Date: | Accepted: 15.09.2017 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Accepted |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Journal of Hydrology |
| Volume: | 554 |
| Number of Pages: | 14 (383 - 396) |
Metadata Details
| Metadata Creator: | Wolfgang Kurtz |
| Metadata Created: | 20.12.2017 |
| Metadata Last Updated: | 20.12.2017 |
| Subproject: | C6 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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