Detecting the occurrence of preferential flow in soils with stable water isotopes.

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Title: Detecting the occurrence of preferential flow in soils with stable water isotopes.
Authors: Pyschik, Jonas1,2 (AUTHOR) science@jonas-pyschik.com, Weiler, Markus2 (AUTHOR)
Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 2, p485-501. 17p.
Subject Terms: *Stable isotopes, *Soil profiles, *Hydrology, *Watersheds, *Clustering algorithms, *Soil moisture
Abstract: Subsurface flow in preferential pathways in soils may transport water more rapidly than the soil matrix, may be quickly activated during precipitation events and enhance 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 preferential 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 isotopes. 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 selected those that matched 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 and highlight the substantial spatial and vertical variability of preferential flowpaths at hillslope and catchment scales. [ABSTRACT FROM AUTHOR]
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  Data: Detecting the occurrence of preferential flow in soils with stable water isotopes.
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  Data: <searchLink fieldCode="AR" term="%22Pyschik%2C+Jonas%22">Pyschik, Jonas</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> science@jonas-pyschik.com</i><br /><searchLink fieldCode="AR" term="%22Weiler%2C+Markus%22">Weiler, Markus</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences%22">Hydrology & Earth System Sciences</searchLink>. 2026, Vol. 30 Issue 2, p485-501. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Stable+isotopes%22">Stable isotopes</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+profiles%22">Soil profiles</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydrology%22">Hydrology</searchLink><br />*<searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink><br />*<searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Subsurface flow in preferential pathways in soils may transport water more rapidly than the soil matrix, may be quickly activated during precipitation events and enhance 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 preferential 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 isotopes. 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 selected those that matched 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 and highlight the substantial spatial and vertical variability of preferential flowpaths at hillslope and catchment scales. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.5194/hess-30-485-2026
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 485
    Subjects:
      – SubjectFull: Stable isotopes
        Type: general
      – SubjectFull: Soil profiles
        Type: general
      – SubjectFull: Hydrology
        Type: general
      – SubjectFull: Watersheds
        Type: general
      – SubjectFull: Clustering algorithms
        Type: general
      – SubjectFull: Soil moisture
        Type: general
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      – TitleFull: Detecting the occurrence of preferential flow in soils with stable water isotopes.
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            NameFull: Pyschik, Jonas
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            NameFull: Weiler, Markus
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            – D: 15
              M: 01
              Text: 2026
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              Y: 2026
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            – TitleFull: Hydrology & Earth System Sciences
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