Residential College | false |
Status | 已發表Published |
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 Publication | Catena |
ISSN | 0341-8162 |
Volume | 210Pages: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. |
Keyword | Finite Element Analysis Irrigation Test Loess Unsaturated Soil Water Percolation |
DOI | 10.1016/j.catena.2021.105930 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Geology ; Agriculture ; Water Resources |
WOS Subject | Geosciences, Multidisciplinary ; Soil Science ; Water Resources |
WOS ID | WOS:000790435500003 |
Scopus ID | 2-s2.0-85120615365 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Xu, Qiang; Xing, Huilin |
Affiliation | 1.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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