TY - JOUR
T1 - Soil hydrothermal modeling in a dry alpine agricultural zone
T2 - The effect of soil airflow
AU - Wang, Jiaxin
AU - Gao, Xiaodong
AU - Zhao, Xining
AU - Wan, Hua
AU - Zeng, Yijian
AU - Yu, Lianyu
AU - Robinson, Brett
AU - Zhou, Yanqin
AU - Siddique, Kadambot H.M.
AU - Wu, Pute
N1 - Funding Information:
Financial and technical support from the National Key Research and Development Program of China (grant no. 2017YFC0403605 ), the National Natural Science Foundation of China (grant no. 41771316 ), Natural Science Basic Research Program of Shaanxi ( 2021JC-19 ), the Shaanxi Innovative Research Team for Key Science and Technology (grant no. 2017KCT-15 ), CAS ‘Youth Scholar of West China’ Program (grant no. XAB2018A04 ), and the ‘111’ Project (grant no. B12007 ) is gratefully acknowledged.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/11/15
Y1 - 2021/11/15
N2 - Acquiring soil hydrothermal information using process-based models is important for agricultural management in dry alpine regions where in situ data collection is difficult. However, few modeling studies have considered the soil airflow transport mechanism for arid regions especially, the presence of dry airflow in soil can affect water and heat transport. Here, we adopt an airflow-coupling hydrological model, Simultaneous Transfer of Energy, Mass, and Momentum in Unsaturated Soil (STEMMUS), to simulate soil hydrothermal processes and evapotranspiration dynamics in a dry farmland on the Tibetan Plateau (TP). The effect of airflow on the simulations was carefully assessed. Our results suggested that STEMMUS can reliably capture daily observations—the average values for the index of agreement (d) in the 20–100 cm soil profile were 0.94 for soil temperature, 0.83 for soil moisture, 0.72 for soil evaporation and 0.83 for crop evapotranspiration, respectively, during the validation period. The impacts of considering airflow transport occurred when water inputs reached 22.8 mm, showing a positive relationship with increasing precipitation/irrigation. Incorporating airflow in the model showed minor differences but basically improved the modeling precision for soil moisture (reduction in root mean squared error (RMSE) values ranging from 0 to 95.9%), evapotranspiration (reduction in RMSE values ranging from 0 to 97.8%) and evaporation (reduction in RMSE values ranging from 0 to 99.3%) following rainfall/irrigation events. These findings provide sights into the role of airflow in the complex soil physical processes, and highlight that rainfall/irrigation inputs are a major factor affecting simulations when airflow is considered.
AB - Acquiring soil hydrothermal information using process-based models is important for agricultural management in dry alpine regions where in situ data collection is difficult. However, few modeling studies have considered the soil airflow transport mechanism for arid regions especially, the presence of dry airflow in soil can affect water and heat transport. Here, we adopt an airflow-coupling hydrological model, Simultaneous Transfer of Energy, Mass, and Momentum in Unsaturated Soil (STEMMUS), to simulate soil hydrothermal processes and evapotranspiration dynamics in a dry farmland on the Tibetan Plateau (TP). The effect of airflow on the simulations was carefully assessed. Our results suggested that STEMMUS can reliably capture daily observations—the average values for the index of agreement (d) in the 20–100 cm soil profile were 0.94 for soil temperature, 0.83 for soil moisture, 0.72 for soil evaporation and 0.83 for crop evapotranspiration, respectively, during the validation period. The impacts of considering airflow transport occurred when water inputs reached 22.8 mm, showing a positive relationship with increasing precipitation/irrigation. Incorporating airflow in the model showed minor differences but basically improved the modeling precision for soil moisture (reduction in root mean squared error (RMSE) values ranging from 0 to 95.9%), evapotranspiration (reduction in RMSE values ranging from 0 to 97.8%) and evaporation (reduction in RMSE values ranging from 0 to 99.3%) following rainfall/irrigation events. These findings provide sights into the role of airflow in the complex soil physical processes, and highlight that rainfall/irrigation inputs are a major factor affecting simulations when airflow is considered.
KW - 2022 OA procedure
KW - Hydrothermal dynamics
KW - Soil airflow
KW - Tibetan Plateau
KW - ITC-ISI-JOURNAL-ARTICLE
KW - Arid agricultural region
U2 - 10.1016/j.geoderma.2021.115354
DO - 10.1016/j.geoderma.2021.115354
M3 - Article
AN - SCOPUS:85111259336
SN - 0016-7061
VL - 402
SP - 1
EP - 13
JO - Geoderma
JF - Geoderma
M1 - 115354
ER -