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Author Jing, M.; Kumar, R.; Attinger, S.; Li, Q.; Lu, C.; Heße, F. url  openurl
  Title Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking Type Journal Article
  Year (down) 2021 Publication Advances in Water Resources Abbreviated Journal  
  Volume 149 Issue Pages 103849  
  Keywords Travel time distribution, Flux tracking, Particle tracking, Coupled model, Predictive uncertainty  
  Abstract Travel time distributions (TTDs) provide an effective way to describe the transport and mixing processes of water parcels in a subsurface hydrological system. A major challenge in characterizing catchment TTD is quantifying the travel times in deep groundwater and its contribution to the streamflow TTD. Here, we develop and test a novel modeling framework for an integrated assessment of catchment scale TTDs through explicit representation of 3D-groundwater dynamics. The proposed framework is based on the linkage between a flux tracking scheme with the surface hydrologic model (mHM) for the soil-water compartment and a particle tracking scheme with the 3D-groundwater model OpenGeoSys (OGS) for the groundwater compartment. This linkage provides us with the ability to simulate the spatial and temporal dynamics of TTDs in these different hydrological compartments from grid scale to regional scale. We apply this framework in the Nägelstedt catchment in central Germany. Simulation results reveal that both shape and scale of grid-scale groundwater TTDs are spatially heterogeneous, which are strongly dependent on the topography and aquifer structure. The component-wise analysis of catchment TTD shows a time-dependent sensitivity of transport processes in soil zone and groundwater to driving meteorological forcing. Catchment TTD exhibits a power-law shape and fractal behavior. The predictive uncertainty in catchment mean travel time is dominated by the uncertainty in the deep groundwater rather than that in the soil zone. Catchment mean travel time is severely biased by a marginal error in groundwater characterization. Accordingly, we recommend to use multiple summary statistics to minimize the predictive uncertainty introduced by the tailing behavior of catchment TTD.  
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  ISSN 0309-1708 ISBN Medium  
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  Call Number THL @ christoph.kuells @ Jing2021103849 Serial 220  
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Author Kharazi, P.; khazaeli, E.A.; Heshmatpour, A. url  openurl
  Title Delineation of suitable sites for groundwater dams in the semi-arid environment in the northeast of Iran using GIS-based decision-making method Type Journal Article
  Year (down) 2021 Publication Groundwater for Sustainable Development Abbreviated Journal  
  Volume 15 Issue Pages 100657  
  Keywords Subsurface dam, Hybrid decision-making method, Geographic information system, Analytical hierarchy process, EDAS, TOPSIS1  
  Abstract Competing commercial demands on water resources need to be balanced as the world’s population rises. Generally, groundwater is raised by subsurface dams. In this paper, the geographic information system (GIS) software and a decision-making method were applied. As the first step, the limitations that affect the establishment of the subsurface dam were identified using eliminating criteria by the Boolean logic. Regarding the second step, the most appropriate axis was determined for subsurface dam construction in each of the limits. The analytical hierarchy process (AHP) was applied according to the evaluation criteria in this study. The aim of using AHP was to weigh and prioritize the criteria of the groundwater dam for recognizing appropriate sites. Among various places and regarding the subsurface dam construction, AHP was conducted using a hierarchy process for finding the most suitable sites in the third stage of the decision-making method. Finally, among the ten appropriate sites, cross comparison was drawn by using Decision Expert (DEX), Evaluation based on Distance from Average Solution (EDAS), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Compared together (as a process of decision-making), DEX, TOPSIS, and EDAS methods assisted in ranking the most appropriate sites in the final step of subsurface dam pre-selection. A and C axes obtained scores between 1 and 2, among 10 axes according to the numerically ranked locations. Regarding the water shortage issue and better management of the underground water at certain levels, the findings of this study could be useful for the residents of Kajbid-Balaqly Watershed in the dry season. Further, water managers can use the above-mentioned methods for their decisions regarding the proper subsurface dam establishment.  
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  Call Number THL @ christoph.kuells @ Kharazi2021100657 Serial 250  
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Author Krüger, N.; Külls, C.; Bruggeman, A.; Eliades, M.; Christophi, C.; Rigas, M.; Eracleous, T. openurl 
  Title Groundwater recharge estimates with soil isotope profiles-is there a bias on coarse-grained hillslopes? Type Conference Article
  Year (down) 2020 Publication EGU General Assembly Conference Abstracts Abbreviated Journal  
  Volume Issue Pages 9840  
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  Call Number THL @ christoph.kuells @ Krueger2020groundwater Serial 42  
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Author Doulgeris, C.; Tziritis, E.; Pisinaras, V.; Panagopoulos, A.; Külls, C. openurl 
  Title Prediction of seawater intrusion to coastal aquifers based on non-dimensional diagrams Type Conference Article
  Year (down) 2020 Publication EGU Geophysical Abstracts Abbreviated Journal  
  Volume Issue Pages 4073  
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  Call Number THL @ christoph.kuells @ Doulgeris2020prediction Serial 41  
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Author Jin, Z.; Külls, C. doi  openurl
  Title FDM based OA-ICOS for high accuracy 13C quantification in gaseous CO2 Type Journal Article
  Year (down) 2020 Publication Earth and Environmental Science Abbreviated Journal EES  
  Volume 446 Issue 3 Pages 032061  
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  Call Number THL @ christoph.kuells @ Jin2020fdm Serial 16  
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