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Depth-dependent controls on soil saturated hydraulic conductivity in the Loess Plateau

  • Pingping Zhang
  • , Yunqiang Wang
  • , Hui Sun
  • , Ruijie Li
  • , Jingxiong Zhou
  • , Laiming Huang
  • CAS - Institute of Earth Environment
  • National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi
  • University of Chinese Academy of Sciences
  • School of Human Settlements and Civil Engineering
  • Xi’an Institute for Innovative Earth Environment Research
  • CAS - Institute of Genetics and Developmental Biology
  • CAS - Institute of Geographical Sciences and Natural Resources Research

Research output: Contribution to journalArticlepeer-review

Abstract

Saturated hydraulic conductivity (Ks) is a critical parameter governing soil hydrological processes, yet most existing studies focus on upper soil layers (< 100 cm), the depth-dependent behavior of Ks in deep unsaturated soil (> 100 cm) is insufficiently characterized. This study investigated the vertical distribution, spatial variability, and controlling factors of Ks across 0–500 cm soil profiles in a small watershed on the Chinese Loess Plateau. Ks exhibited the highest values in the surface layer (0–5 cm) and decreased with depth, following power or parabolic functions (R2 = 0.58–0.71) depending on landscape unit. Ks differed significantly among landscape units, with values ranked as tableland ≥ slope land > gully land, and significantly higher values in tableland than slope land in the 200–500 cm layer (p < 0.05). Boosted regression tree analysis showed that soil properties dominated Ks variability across all depths (56.6%–79.4%), with bulk density and saturated soil water content as the most influential factors. In the upper 0–20 cm, topography and vegetation mainly influenced Ks indirectly via soil properties, while vegetation effects were more evident in the 5–20 cm layer. Below 20 cm, Ks was increasingly controlled by intrinsic soil characteristics, and vegetation effects weakened and became negligible below 200 cm. Although soil variables dominated model performance, incorporating topographic and vegetation variables generally improved predictions in deeper soils (> 20 cm), where they likely act as proxies for long-term geomorphic and pedogenic processes. These results highlight strong vertical heterogeneity in Ks and suggest that depth-explicit parameterization may improve hydrological modeling in loess regions.

Original languageEnglish
Article number135631
JournalJournal of Hydrology
Volume675
DOIs
StatePublished - Aug 2026
Externally publishedYes

Keywords

  • Deep soil
  • Loess landscape
  • Pedotransfer function
  • Soil hydraulic properties
  • Watershed scale

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