Articles | Volume 26, issue 2
https://doi.org/10.5194/hess-26-429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2022
Research article |
| 31 Jan 2022
| 31 Jan 2022
Watershed zonation through hillslope clustering for tractably quantifying above- and below-ground watershed heterogeneity and functions
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Sebastian Uhlemann
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Maya Franklin
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Nicola Falco
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Nicholas J. Bouskill
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Michelle E. Newcomer
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Baptiste Dafflon
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Erica R. Siirila-Woodburn
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Burke J. Minsley
U.S. Geological Survey, Denver, CO 80225, USA
Kenneth H. Williams
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Rocky Mountain Biological Laboratory, Crested Butte, CO 81224, USA
Susan S. Hubbard
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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- Variability of Snow and Rainfall Partitioning Into Evapotranspiration and Summer Runoff Across Nine Mountainous Catchments M. Sprenger et al. 10.1029/2022GL099324
- A network approach for multiscale catchment classification using traits F. Ciulla & C. Varadharajan 10.5194/hess-28-1617-2024
- On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes F. Maina et al. 10.5194/hess-26-3805-2022
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
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- From legacy contamination to watershed systems science: a review of scientific insights and technologies developed through DOE-supported research in water and energy security D. Dwivedi et al. 10.1088/1748-9326/ac59a9
- Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions H. Wainwright et al. 10.3389/frwa.2023.1220146
- Memory and Management: Competing Controls on Long‐Term Nitrate Trajectories in U.S. Rivers K. Van Meter et al. 10.1029/2022GB007651
- The application of integrating comprehensive evaluation and clustering algorithms weighted by maximal information coefficient for urban flood susceptibility H. Wang et al. 10.1016/j.jenvman.2023.118846
- Assessment of the vulnerability of hybrid coastal aquifers: application of multi-attribute decision-making and optimization models M. Bordbar et al. 10.1080/02626667.2023.2203825
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- Application of Machine Learning in Water Resources Management: A Systematic Literature Review F. Ghobadi & D. Kang 10.3390/w15040620
- Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope S. Uhlemann et al. 10.1029/2023WR036137
- Watershed zonation through hillslope clustering for tractably quantifying above- and below-ground watershed heterogeneity and functions H. Wainwright et al. 10.5194/hess-26-429-2022
- Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling Z. Xu et al. 10.1029/2022WR032075
- Groundwater recharge site suitability analysis through multi-influencing factors (MIF) in West Bengal dry-land areas, West Bengal, India K. Bera et al. 10.1007/s11631-022-00559-6
18 citations as recorded by crossref.
- PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies A. Meray et al. 10.1021/acs.est.1c07440
- Prolonged Drought in a Northern California Coastal Region Suppresses Wildfire Impacts on Hydrology M. Newcomer et al. 10.1029/2022WR034206
- Variability of Snow and Rainfall Partitioning Into Evapotranspiration and Summer Runoff Across Nine Mountainous Catchments M. Sprenger et al. 10.1029/2022GL099324
- A network approach for multiscale catchment classification using traits F. Ciulla & C. Varadharajan 10.5194/hess-28-1617-2024
- On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes F. Maina et al. 10.5194/hess-26-3805-2022
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Machine-Learning Functional Zonation Approach for Characterizing Terrestrial–Aquatic Interfaces: Application to Lake Erie L. Enguehard et al. 10.3390/rs14143285
- Identifying intermittent river sections with similar hydrology using remotely sensed metrics T. Tayer et al. 10.1016/j.jhydrol.2023.130266
- A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature B. Dafflon et al. 10.5194/tc-16-719-2022
- Impacts of elevational variability of climate and frozen ground on streamflow in a glacierized catchment in Tibetan Plateau M. Gao et al. 10.1016/j.jhydrol.2023.129312
- From legacy contamination to watershed systems science: a review of scientific insights and technologies developed through DOE-supported research in water and energy security D. Dwivedi et al. 10.1088/1748-9326/ac59a9
- Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions H. Wainwright et al. 10.3389/frwa.2023.1220146
- Memory and Management: Competing Controls on Long‐Term Nitrate Trajectories in U.S. Rivers K. Van Meter et al. 10.1029/2022GB007651
- The application of integrating comprehensive evaluation and clustering algorithms weighted by maximal information coefficient for urban flood susceptibility H. Wang et al. 10.1016/j.jenvman.2023.118846
- Assessment of the vulnerability of hybrid coastal aquifers: application of multi-attribute decision-making and optimization models M. Bordbar et al. 10.1080/02626667.2023.2203825
- Advanced monitoring of soil-vegetation co-dynamics reveals the successive controls of snowmelt on soil moisture and on plant seasonal dynamics in a mountainous watershed B. Dafflon et al. 10.3389/feart.2023.976227
- Application of Machine Learning in Water Resources Management: A Systematic Literature Review F. Ghobadi & D. Kang 10.3390/w15040620
- Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope S. Uhlemann et al. 10.1029/2023WR036137
3 citations as recorded by crossref.
- Watershed zonation through hillslope clustering for tractably quantifying above- and below-ground watershed heterogeneity and functions H. Wainwright et al. 10.5194/hess-26-429-2022
- Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling Z. Xu et al. 10.1029/2022WR032075
- Groundwater recharge site suitability analysis through multi-influencing factors (MIF) in West Bengal dry-land areas, West Bengal, India K. Bera et al. 10.1007/s11631-022-00559-6
Latest update: 17 Jul 2024
Short summary
This paper has developed a tractable approach for characterizing watershed heterogeneity and its relationship with key functions such as ecosystem sensitivity to droughts and nitrogen export. We have applied clustering methods to classify hillslopes into
watershed zonesthat have distinct distributions of bedrock-to-canopy properties as well as key functions. This is a powerful approach for guiding watershed experiments and sampling as well as informing hydrological and biogeochemical models.
This paper has developed a tractable approach for characterizing watershed heterogeneity and its...
