Articles | Volume 18, issue 10
https://doi.org/10.5194/hess-18-4113-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4113-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Oct 2014
Research article |
| 16 Oct 2014
Stable water isotope tracing through hydrological models for disentangling runoff generation processes at the hillslope scale
D. Windhorst
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus-Liebig-Universität Gießen, Gießen, Germany
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus-Liebig-Universität Gießen, Gießen, Germany
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus-Liebig-Universität Gießen, Gießen, Germany
Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador
H.-G. Frede
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus-Liebig-Universität Gießen, Gießen, Germany
L. Breuer
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus-Liebig-Universität Gießen, Gießen, Germany
Viewed
Total article views: 5,483 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,759 | 2,562 | 162 | 5,483 | 195 | 215 |
- HTML: 2,759
- PDF: 2,562
- XML: 162
- Total: 5,483
- BibTeX: 195
- EndNote: 215
Total article views: 4,084 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Oct 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,269 | 1,666 | 149 | 4,084 | 186 | 210 |
- HTML: 2,269
- PDF: 1,666
- XML: 149
- Total: 4,084
- BibTeX: 186
- EndNote: 210
Total article views: 1,399 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 490 | 896 | 13 | 1,399 | 9 | 5 |
- HTML: 490
- PDF: 896
- XML: 13
- Total: 1,399
- BibTeX: 9
- EndNote: 5
Cited
30 citations as recorded by crossref.
- Unprecedented Retention Capabilities of Extensive Green Roofs—New Design Approaches and an Open-Source Model K. Förster et al. https://doi.org/10.3389/frwa.2021.689679
- Using stable water isotopes to evaluate water flow and nonpoint source pollutant contributions in three southern Ontario agricultural headwater streams L. Gospodyn et al. https://doi.org/10.1002/hyp.14802
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. https://doi.org/10.1029/2019WR025248
- Reinforce lake water balance component estimations by integrating water isotope compositions with a hydrological model N. Mahmoodi et al. https://doi.org/10.5194/hess-29-3993-2025
- Exploring water cycle dynamics by sampling multiple stable water isotope pools in a developed landscape in Germany N. Orlowski et al. https://doi.org/10.5194/hess-20-3873-2016
- Validation of Cryogenic Vacuum Extraction of Pore Water from Volcanic Soils for Isotopic Analysis D. Rivera et al. https://doi.org/10.3390/w11112214
- Established methods and new opportunities for pore water stable isotope analysis M. Sprenger et al. https://doi.org/10.1002/hyp.10643
- High-Frequency Water Isotopic Analysis Using an Automatic Water Sampling System in Rice-Based Cropping Systems A. Mahindawansha et al. https://doi.org/10.3390/w10101327
- Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. https://doi.org/10.5194/hess-22-4565-2018
- Stable Water Isotopologue Fractionation During Soil‐Water Evaporation: Analysis Using a Coupled Soil‐Atmosphere Model S. Kiemle et al. https://doi.org/10.1029/2022WR032385
- Interception effects on stable isotope driven streamwater transit time estimates M. Stockinger et al. https://doi.org/10.1002/2015GL064622
- EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model S. Kuppel et al. https://doi.org/10.5194/gmd-11-3045-2018
- Statistical and isotopic analysis of sources and evolution of groundwater J. Asomaning et al. https://doi.org/10.1016/j.pce.2022.103337
- Watershed services in the humid tropics: Opportunities from recent advances in ecohydrology P. Hamel et al. https://doi.org/10.1002/eco.1921
- A mathematical model for the transfer of soil solutes to runoff under water scouring T. Yang et al. https://doi.org/10.1016/j.scitotenv.2016.06.094
- SPOTting Model Parameters Using a Ready-Made Python Package T. Houska et al. https://doi.org/10.1371/journal.pone.0145180
- Deep Learning for Isotope Hydrology: The Application of Long Short-Term Memory to Estimate High Temporal Resolution of the Stable Isotope Concentrations in Stream and Groundwater A. Sahraei et al. https://doi.org/10.3389/frwa.2021.740044
- Storage, mixing, and fluxes of water in the critical zone across northern environments inferred by stable isotopes of soil water M. Sprenger et al. https://doi.org/10.1002/hyp.13135
- Intercomparison of soil pore water extraction methods for stable isotope analysis N. Orlowski et al. https://doi.org/10.1002/hyp.10870
- Estimating water fluxes in the critical zone using water stable isotope approaches in the Groundnut and Ferlo basins of Senegal D. Diongue et al. https://doi.org/10.1002/hyp.14787
- Dynamics of cadmium and arsenic at the capillary fringe of paddy soils: A microcosm study based on high-resolution porewater analysis Y. Guo et al. https://doi.org/10.1016/j.seh.2023.100057
- Advancing ecohydrology in the changing tropics: Perspectives from early career scientists C. Wright et al. https://doi.org/10.1002/eco.1918
- Using an “isotopic spike” from a tropical storm to understand water exchange on a large scale: case study of Hurricane Rafael in the Lesser Antilles archipelago, October 2012 L. Lambs et al. https://doi.org/10.1002/rcm.8055
- Spatially distributed characterization of soil-moisture dynamics using travel-time distributions F. Heße et al. https://doi.org/10.5194/hess-21-549-2017
- Simulation of latent heat flux over a high altitude pasture in the tropical Andes with a coupled land surface framework J. Bendix et al. https://doi.org/10.1016/j.scitotenv.2025.179510
- Water transport and tracer mixing in volcanic ash soils at a tropical hillslope: A wet layered sloping sponge G. Mosquera et al. https://doi.org/10.1002/hyp.13733
- Illuminating hydrological processes at the soil‐vegetation‐atmosphere interface with water stable isotopes M. Sprenger et al. https://doi.org/10.1002/2015RG000515
- Assessment of hydrological pathways in East African montane catchments under different land use S. Jacobs et al. https://doi.org/10.5194/hess-22-4981-2018
- Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high‐elevation tropical ecosystem G. Mosquera et al. https://doi.org/10.1002/hyp.10927
- Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow A. Sahraei et al. https://doi.org/10.3389/frwa.2021.652100
30 citations as recorded by crossref.
- Unprecedented Retention Capabilities of Extensive Green Roofs—New Design Approaches and an Open-Source Model K. Förster et al. https://doi.org/10.3389/frwa.2021.689679
- Using stable water isotopes to evaluate water flow and nonpoint source pollutant contributions in three southern Ontario agricultural headwater streams L. Gospodyn et al. https://doi.org/10.1002/hyp.14802
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. https://doi.org/10.1029/2019WR025248
- Reinforce lake water balance component estimations by integrating water isotope compositions with a hydrological model N. Mahmoodi et al. https://doi.org/10.5194/hess-29-3993-2025
- Exploring water cycle dynamics by sampling multiple stable water isotope pools in a developed landscape in Germany N. Orlowski et al. https://doi.org/10.5194/hess-20-3873-2016
- Validation of Cryogenic Vacuum Extraction of Pore Water from Volcanic Soils for Isotopic Analysis D. Rivera et al. https://doi.org/10.3390/w11112214
- Established methods and new opportunities for pore water stable isotope analysis M. Sprenger et al. https://doi.org/10.1002/hyp.10643
- High-Frequency Water Isotopic Analysis Using an Automatic Water Sampling System in Rice-Based Cropping Systems A. Mahindawansha et al. https://doi.org/10.3390/w10101327
- Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. https://doi.org/10.5194/hess-22-4565-2018
- Stable Water Isotopologue Fractionation During Soil‐Water Evaporation: Analysis Using a Coupled Soil‐Atmosphere Model S. Kiemle et al. https://doi.org/10.1029/2022WR032385
- Interception effects on stable isotope driven streamwater transit time estimates M. Stockinger et al. https://doi.org/10.1002/2015GL064622
- EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model S. Kuppel et al. https://doi.org/10.5194/gmd-11-3045-2018
- Statistical and isotopic analysis of sources and evolution of groundwater J. Asomaning et al. https://doi.org/10.1016/j.pce.2022.103337
- Watershed services in the humid tropics: Opportunities from recent advances in ecohydrology P. Hamel et al. https://doi.org/10.1002/eco.1921
- A mathematical model for the transfer of soil solutes to runoff under water scouring T. Yang et al. https://doi.org/10.1016/j.scitotenv.2016.06.094
- SPOTting Model Parameters Using a Ready-Made Python Package T. Houska et al. https://doi.org/10.1371/journal.pone.0145180
- Deep Learning for Isotope Hydrology: The Application of Long Short-Term Memory to Estimate High Temporal Resolution of the Stable Isotope Concentrations in Stream and Groundwater A. Sahraei et al. https://doi.org/10.3389/frwa.2021.740044
- Storage, mixing, and fluxes of water in the critical zone across northern environments inferred by stable isotopes of soil water M. Sprenger et al. https://doi.org/10.1002/hyp.13135
- Intercomparison of soil pore water extraction methods for stable isotope analysis N. Orlowski et al. https://doi.org/10.1002/hyp.10870
- Estimating water fluxes in the critical zone using water stable isotope approaches in the Groundnut and Ferlo basins of Senegal D. Diongue et al. https://doi.org/10.1002/hyp.14787
- Dynamics of cadmium and arsenic at the capillary fringe of paddy soils: A microcosm study based on high-resolution porewater analysis Y. Guo et al. https://doi.org/10.1016/j.seh.2023.100057
- Advancing ecohydrology in the changing tropics: Perspectives from early career scientists C. Wright et al. https://doi.org/10.1002/eco.1918
- Using an “isotopic spike” from a tropical storm to understand water exchange on a large scale: case study of Hurricane Rafael in the Lesser Antilles archipelago, October 2012 L. Lambs et al. https://doi.org/10.1002/rcm.8055
- Spatially distributed characterization of soil-moisture dynamics using travel-time distributions F. Heße et al. https://doi.org/10.5194/hess-21-549-2017
- Simulation of latent heat flux over a high altitude pasture in the tropical Andes with a coupled land surface framework J. Bendix et al. https://doi.org/10.1016/j.scitotenv.2025.179510
- Water transport and tracer mixing in volcanic ash soils at a tropical hillslope: A wet layered sloping sponge G. Mosquera et al. https://doi.org/10.1002/hyp.13733
- Illuminating hydrological processes at the soil‐vegetation‐atmosphere interface with water stable isotopes M. Sprenger et al. https://doi.org/10.1002/2015RG000515
- Assessment of hydrological pathways in East African montane catchments under different land use S. Jacobs et al. https://doi.org/10.5194/hess-22-4981-2018
- Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high‐elevation tropical ecosystem G. Mosquera et al. https://doi.org/10.1002/hyp.10927
- Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow A. Sahraei et al. https://doi.org/10.3389/frwa.2021.652100
Saved (final revised paper)
Latest update: 07 Jun 2026
