Detecting the occurrence of preferential flow in soils with stable water isotopes Article Swipe
Jonas Pyschik
,
Markus Weiler
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2025-2411
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2025-2411
Subsurface flow in preferential pathways in soils may transport water more rapidly than the soil matrix, which may be quickly activated during precipitation events and enhancing infiltration or interflow. Vertical pathways are particularly important for runoff generation. However, identifying these pathways is challenging because traditional methods such as piezometers, soil moisture sensors, or hillslope trenches do not adequately capture the spatial scale and frequency of prefer ential flow features, while other experimental techniques like dye tracing are labor-intensive and invasive. In this study, we introduce a novel method to identify the locations of preferential flow by analysing vertical soil profiles of stable water isotope. Across four catchments, we drilled 100 soil cores (1–3 m deep) per catchment and analyzed the stable isotope composition of the soil water in 10–20 cm depth intervals to construct depth profiles. We employed clustering techniques to group soil-water isotope profiles and selecting those that match to a seasonal sampling date to establish a reference profile for each catchment using LOESS regression, representing profiles influenced solely by matrix infiltration. Deviations from these reference profiles were then used as indicators of being influenced by vertical or lateral preferential flow. Our results revealed evidence of preferential flow in all studied catchments. Especially in the alpine catchment with highly heterogeneous soils many profiles showed distinct preferential flow features, including multiple, vertically independent pathways occurring at variable depths, even among adjacent profiles. These findings demonstrate the feasibility of using soil water isotope profiles to assess preferential flow pathways highlighting the substantial spatial and vertical variability of preferential flowpaths at hillslope and catchment scale.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-2025-2411
- https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2411/egusphere-2025-2411.pdf
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411029102
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411029102Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/egusphere-2025-2411Digital Object Identifier
- Title
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Detecting the occurrence of preferential flow in soils with stable water isotopesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-04Full publication date if available
- Authors
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Jonas Pyschik, Markus WeilerList of authors in order
- Landing page
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https://doi.org/10.5194/egusphere-2025-2411Publisher landing page
- PDF URL
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https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2411/egusphere-2025-2411.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2411/egusphere-2025-2411.pdfDirect OA link when available
- Concepts
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Soil water, Stable isotope ratio, Isotope, Environmental science, Soil science, Flow (mathematics), Geology, Environmental chemistry, Hydrology (agriculture), Chemistry, Earth science, Geotechnical engineering, Physics, Nuclear physics, MechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.indicators | 183 |
| abstract_inverted_index.influenced | 169, 186 |
| abstract_inverted_index.interflow. | 29 |
| abstract_inverted_index.soil-water | 143 |
| abstract_inverted_index.techniques | 73, 140 |
| abstract_inverted_index.vertically | 222 |
| abstract_inverted_index.catchments, | 107 |
| abstract_inverted_index.catchments. | 203 |
| abstract_inverted_index.challenging | 43 |
| abstract_inverted_index.composition | 123 |
| abstract_inverted_index.demonstrate | 235 |
| abstract_inverted_index.feasibility | 237 |
| abstract_inverted_index.generation. | 37 |
| abstract_inverted_index.identifying | 39 |
| abstract_inverted_index.independent | 223 |
| abstract_inverted_index.regression, | 166 |
| abstract_inverted_index.substantial | 251 |
| abstract_inverted_index.traditional | 45 |
| abstract_inverted_index.variability | 255 |
| abstract_inverted_index.experimental | 72 |
| abstract_inverted_index.highlighting | 249 |
| abstract_inverted_index.infiltration | 27 |
| abstract_inverted_index.particularly | 33 |
| abstract_inverted_index.piezometers, | 49 |
| abstract_inverted_index.preferential | 4, 94, 191, 198, 217, 246, 257 |
| abstract_inverted_index.representing | 167 |
| abstract_inverted_index.heterogeneous | 211 |
| abstract_inverted_index.infiltration. | 173 |
| abstract_inverted_index.precipitation | 23 |
| abstract_inverted_index.labor-intensive | 78 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.87466362 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |