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Tracking and modelling water percolation process in modern intensive farming loess terraces
Peng, Dalei1,2; Xu, Qiang1; Zhang, Limin2; Xing, Huilin3; Shen, Ping4; Zhao, Kuanyao1; Zhang, Xianlin1
2022-03-01
Source PublicationCatena
ISSN0341-8162
Volume210Pages:105930
Abstract

Loess slopes along the Yellow River in China are prone to failure in response to intensive irrigation. Existing studies found that the wetting front depth subjected to intensive farming water could barely reach 6 m in loess terrace. Long-term field monitoring revealed that irrigation water takes a short time to recharge the groundwater. Yet the dynamic process and mechanism of irrigation water percolation through thick unsaturated loess remains unrevealed. To address this problem, the Heifangtai terrace was selected as the study area and a series of unique full-scale controlled field irrigation experiments were carried out combined with numerical modelling. The variations in water content, pore-water pressure, and electrical resistivity over time were monitored. From the field testing, the unsaturated stratified loess layer could be divided into two vadose zones based on the water percolation characteristics, namely, transient flow zone (0–6.5 m) and steady flow zone (>6.5 m). Variation in water content presented a hysteresis effect in the transient flow zone compared with the steady flow zone. In the whole seepage process, the vertical percolation rate of 0.5 m/day was double that of the horizontal percolation rate. Furthermore, the irrigation water percolating process was modelled using a finite element code, PANDAS, which was validated by the field testing. Numerical simulation results demonstrated that the movement of wetting front was hampered by the air outflow within transient flow zone and that irrigation water reached the deep groundwater table through the thick unsaturated stratified loess within 100 days, which was consistent with the field monitoring data. This research aids in a better understanding of the irrigation water percolation process in unsaturated stratified loess in the loess region.

KeywordFinite Element Analysis Irrigation Test Loess Unsaturated Soil Water Percolation
DOI10.1016/j.catena.2021.105930
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaGeology ; Agriculture ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS IDWOS:000790435500003
Scopus ID2-s2.0-85120615365
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Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorXu, Qiang; Xing, Huilin
Affiliation1.State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, 610059, China
2.Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
3.Key Lab of Submarine Geoscience and Prospecting Techniques of Ministry of Education, Institute of Advanced Ocean Study, College of Marine Geosciences, Ocean University of China, Qingdao, 266100, China
4.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao, China
Recommended Citation
GB/T 7714
Peng, Dalei,Xu, Qiang,Zhang, Limin,et al. Tracking and modelling water percolation process in modern intensive farming loess terraces[J]. Catena, 2022, 210, 105930.
APA Peng, Dalei., Xu, Qiang., Zhang, Limin., Xing, Huilin., Shen, Ping., Zhao, Kuanyao., & Zhang, Xianlin (2022). Tracking and modelling water percolation process in modern intensive farming loess terraces. Catena, 210, 105930.
MLA Peng, Dalei,et al."Tracking and modelling water percolation process in modern intensive farming loess terraces".Catena 210(2022):105930.
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