TY - JOUR
T1 - Disentangling the impact of event‐ and annual‐scale precipitation extremes on critical‐zone hydrology in semiarid loess vegetated by apple trees
AU - Gao, Xiaodong
AU - Wan, Hua
AU - Zeng, Yijian
AU - Shao, Xiaoya
AU - Hu, Wei
AU - Brocca, Luca
AU - Yang, Min
AU - Wu, Pute
AU - Zhao, Xining
N1 - Funding Information:
The authors thank Jiaxin Wang and Bo Yang for their help in experiments and model debugging. This work was jointly supported by the National Natural Science Foundation of China (42125705), the Cyrus Tang Foundation, Natural Science Basic Research Program of Shaanxi (2021JC‐19), the Shaanxi Key Research and Development Program (2020ZDLNY07‐04).
Publisher Copyright:
© 2023. American Geophysical Union. All Rights Reserved.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - The extent and mechanisms by which precipitation extremes affect hydrological processes in the critical zone (CZ) of loess possessing a thick unsaturated zone remains poorly understood. To this end, we here employed a coupled liquid‒vapor‒heat‒airflow STEMMUS (simultaneous transfer of energy, mass, and momentum in unsaturated soil) model to investigate the impact of extreme precipitation, at both event and annual scales, on CZ hydrological processes within a semiarid loess site vegetated by apple trees on China’s Loess Plateau. At the event scale, the vapor flux was two orders of magnitude lower than the liquid water flux. However, the thermal vapor flux penetrated to depths of 200 cm, whereas the isothermal liquid water flux only infiltrated to 100 cm during the study period, implying that thermal-gradient-driven vapor transfer is an important mechanism for deep-layer recharge (DLR). At the annual scale, the DLR below 200 cm during extremely wet years was 6.5 times larger than that during extremely dry years. In contrast, extreme changes in climate had only limited impacts on evapotranspiration; the difference between extremely wet and extremely dry years averaged only 35 mm, much less than the difference in precipitation, which averaged 310 mm. However, the extremely dry years showed a higher ratio (0.58) between transpiration and evapotranspiration than did the extremely wet years (0.51). The findings reported here improve our understanding of CZ hydrological processes related to precipitation extremes in semiarid loess regions.
AB - The extent and mechanisms by which precipitation extremes affect hydrological processes in the critical zone (CZ) of loess possessing a thick unsaturated zone remains poorly understood. To this end, we here employed a coupled liquid‒vapor‒heat‒airflow STEMMUS (simultaneous transfer of energy, mass, and momentum in unsaturated soil) model to investigate the impact of extreme precipitation, at both event and annual scales, on CZ hydrological processes within a semiarid loess site vegetated by apple trees on China’s Loess Plateau. At the event scale, the vapor flux was two orders of magnitude lower than the liquid water flux. However, the thermal vapor flux penetrated to depths of 200 cm, whereas the isothermal liquid water flux only infiltrated to 100 cm during the study period, implying that thermal-gradient-driven vapor transfer is an important mechanism for deep-layer recharge (DLR). At the annual scale, the DLR below 200 cm during extremely wet years was 6.5 times larger than that during extremely dry years. In contrast, extreme changes in climate had only limited impacts on evapotranspiration; the difference between extremely wet and extremely dry years averaged only 35 mm, much less than the difference in precipitation, which averaged 310 mm. However, the extremely dry years showed a higher ratio (0.58) between transpiration and evapotranspiration than did the extremely wet years (0.51). The findings reported here improve our understanding of CZ hydrological processes related to precipitation extremes in semiarid loess regions.
KW - ITC-ISI-JOURNAL-ARTICLE
KW - 2023 OA procedure
U2 - 10.1029/2022WR033042
DO - 10.1029/2022WR033042
M3 - Article
SN - 0043-1397
VL - 59
JO - Water resources research
JF - Water resources research
IS - 3
M1 - e2022WR033042
ER -