中国地理科学(英文版) ›› 2011, Vol. 21 ›› Issue (2): 249-256.

• 论文 • 上一篇    

Numerical Modeling of Shallow Water Table Behavior with Lisse Effect

ZHANG Jing1, GONG Huili1, Mark A ROSS2, LI Xiaojuan1, ZHOU Demin1   

  1. (1. Key Laboratory of Resource Environment and GIS of Beijing, Capital Normal University, Beijing 100048, China;
    2. Department of Civil and Environmental Engineering, University of South Florida,
    4202 E. Fowler Ave, ENB 118, Tampa, FL 33620, USA)
  • 出版日期:2011-03-24 发布日期:2011-04-06

Numerical Modeling of Shallow Water Table Behavior with Lisse Effect

ZHANG Jing1, GONG Huili1, Mark A ROSS2, LI Xiaojuan1, ZHOU Demin1   

  1. (1. Key Laboratory of Resource Environment and GIS of Beijing, Capital Normal University, Beijing 100048, China;
    2. Department of Civil and Environmental Engineering, University of South Florida,
    4202 E. Fowler Ave, ENB 118, Tampa, FL 33620, USA)
  • Online:2011-03-24 Published:2011-04-06

摘要:

Air entrapment is an important consideration in environments with shallow water tables and sandy soil, like the condition of highly conductive sandy soils and flat topography in Florida, USA. It causes water table rises in soils, which are significantly faster and higher than those in soils without air entrapment. Two numerical models, Integrated Hydrologic Model (IHM) and HYDRUS-1D (a single-phase, one-dimensional Richards′ equation model) were tested at an area of west central Florida to help further understanding the shallow water table behavior during a long term air entrapment. This investigation employed field data with two modeling approaches to quantify the variation of air pressurization values. It was found that the air pressurization effect was responsible at time up to 40 cm of water table rise being recorded by the observation well for these two models. The values of air pressurization calculated from IHM and HYDRUS-1D match the previously published values. Results also indicated that the two numerical models did not consider air entrapment effect (as the predictive parameters remain uncertain) and thus results of depth to water table from these models did not compare to the observations for these selected periods. Incorporating air entrapment in prediction models is critical to reproduce shallow water table observations.

关键词: shallow water table, Lisse effect, air entrapment, Integrated Hydrologic Model (IHM), HYDRUS-1D, Florida

Abstract:

Air entrapment is an important consideration in environments with shallow water tables and sandy soil, like the condition of highly conductive sandy soils and flat topography in Florida, USA. It causes water table rises in soils, which are significantly faster and higher than those in soils without air entrapment. Two numerical models, Integrated Hydrologic Model (IHM) and HYDRUS-1D (a single-phase, one-dimensional Richards′ equation model) were tested at an area of west central Florida to help further understanding the shallow water table behavior during a long term air entrapment. This investigation employed field data with two modeling approaches to quantify the variation of air pressurization values. It was found that the air pressurization effect was responsible at time up to 40 cm of water table rise being recorded by the observation well for these two models. The values of air pressurization calculated from IHM and HYDRUS-1D match the previously published values. Results also indicated that the two numerical models did not consider air entrapment effect (as the predictive parameters remain uncertain) and thus results of depth to water table from these models did not compare to the observations for these selected periods. Incorporating air entrapment in prediction models is critical to reproduce shallow water table observations.

Key words: shallow water table, Lisse effect, air entrapment, Integrated Hydrologic Model (IHM), HYDRUS-1D, Florida