Impact of the soil freeze-thaw process on runoff generation and water balance in an alpine region of the northeast Qinghai-Tibet plateau

The soil freeze-thaw process profoundly influences runoff generation through complex and interconnected mechanisms, yet its quantitative impact remains poorly understood, particularly across different vegetation types and elevations. Addressing this issue is critical for improving hydrological predictions in cold regions. In this study, we established an integrated atmosphere-vegetation-soil observation system across varying elevations and vegetation types in the Qilian Mountains (QLM) and employed the Simultaneous Heat and Water (SHAW) model to quantitatively assess soil hydrothermal dynamics and runoff generation during different freeze-thaw stages from 2015 to 2023. The results demonstrate that the SHAW model could accurately simulate soil hydrothermal processes across all vegetation types (NSE > 0.80 for soil temperature; NSE > 0.69 for soil moisture) in an alpine region. Soil water content and water balance components varied significantly across both freeze-thaw stages and vegetation types. There was almost no surface runoff formed in desert steppe and mountainous steppe, and deep seepage was also low. In contrast, shrub meadow exhibited substantial deep seepage (89.29 mm) during the completely thawed stage and could be a major source of recharging to streamflow. The major water fluxes for the four vegetation types occurred during thawing and completely thawed stages, dominated by evapotranspiration. Evapotranspiration accounted for 93 %, 94 %, 81 %, and 62 % of annual precipitation in desert steppe, mountainous steppe, coniferous forest, and shrub meadow, respectively. While the component of evapotranspiration differed, it was dominated by soil evaporation in desert steppe (79 % of total ET) and mountainous steppe (92 %), and by vegetation transpiration in coniferous forest (59 %) and shrub meadow (78 %). These findings offer critical insights into water partitioning within the soil-vegetation-atmosphere continuum, enabling more accurate predictions of streamflow and water availability in alpine regions. • Impact of soil freeze-thaw on runoff formation and water balance was quantified. • Soil hydrothermal process was simulated by using SHAW and observation. • Water balance components varied in different freeze-thaw stages and vegetation types. • Major water fluxes occurred in thawing and completely thawed stages. • Deep seepage of shrub meadow was the major recharge of streamflow.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2026-01-27
DOI
https://doi.org/10.1016/j.agwat.2026.110191
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of the soil freeze-thaw process on runoff generation and water balance in an alpine region of the northeast Qinghai-Tibet plateau

Raffaele Albano, Jan Adamowski, Honghua Xia, Jingru Wang et al.
Agricultural Water Management
Climate change and permafrost
article

Impact of the soil freeze-thaw process on runoff generation and water balance in an alpine region of the northeast Qinghai-Tibet plateau

Raffaele Albano, Jan Adamowski, Honghua Xia, Jingru Wang, Linshan Yang, Tiaoxue Lu, Xingyi Zou, Qi Feng, Bogdan Ozga-Zielinski, Wanghan He
article en

Abstract

The soil freeze-thaw process profoundly influences runoff generation through complex and interconnected mechanisms, yet its quantitative impact remains poorly understood, particularly across different vegetation types and elevations. Addressing this issue is critical for improving hydrological predictions in cold regions. In this study, we established an integrated atmosphere-vegetation-soil observation system across varying elevations and vegetation types in the Qilian Mountains (QLM) and employed the Simultaneous Heat and Water (SHAW) model to quantitatively assess soil hydrothermal dynamics and runoff generation during different freeze-thaw stages from 2015 to 2023. The results demonstrate that the SHAW model could accurately simulate soil hydrothermal processes across all vegetation types (NSE > 0.80 for soil temperature; NSE > 0.69 for soil moisture) in an alpine region. Soil water content and water balance components varied significantly across both freeze-thaw stages and vegetation types. There was almost no surface runoff formed in desert steppe and mountainous steppe, and deep seepage was also low. In contrast, shrub meadow exhibited substantial deep seepage (89.29 mm) during the completely thawed stage and could be a major source of recharging to streamflow. The major water fluxes for the four vegetation types occurred during thawing and completely thawed stages, dominated by evapotranspiration. Evapotranspiration accounted for 93 %, 94 %, 81 %, and 62 % of annual precipitation in desert steppe, mountainous steppe, coniferous forest, and shrub meadow, respectively. While the component of evapotranspiration differed, it was dominated by soil evaporation in desert steppe (79 % of total ET) and mountainous steppe (92 %), and by vegetation transpiration in coniferous forest (59 %) and shrub meadow (78 %). These findings offer critical insights into water partitioning within the soil-vegetation-atmosphere continuum, enabling more accurate predictions of streamflow and water availability in alpine regions. • Impact of soil freeze-thaw on runoff formation and water balance was quantified. • Soil hydrothermal process was simulated by using SHAW and observation. • Water balance components varied in different freeze-thaw stages and vegetation types. • Major water fluxes occurred in thawing and completely thawed stages. • Deep seepage of shrub meadow was the major recharge of streamflow.

Agricultural Water ManagementVol. 325
Chinese Academy of Sciences (CN), University of Basilicata (IT), Northwest Institute of Eco-Environment and Resources (CN), Institute of Meteorology and Water Management (PL), Gansu Qilian Mountains Water Conservation Forest Research Institute (CN), University of Chinese Academy of Sciences (CN), McGill University (CA)
Clean water and sanitation
Openalex Percentile: Top 82%
Climate change and permafrost
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.