Estimating Evapotranspiration from Groundwater Level Fluctuations

Monday, May 5, 2014
Jianting Zhu , Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY
Peng Deng , Nanjing University of Information Science & Technology (NUIST), Nanjing, China

Groundwater evapotranspiration (ET) by phreatophytes in riparian zones is an important component of the water budget of many arid and semiarid environments. Diurnal fluctuations in groundwater levels have been used to estimate groundwater ET, but interference between nearby surface water (e.g., rivers, streams) and groundwater levels complicates the ET estimate. The objective of this study is to examine the influence of surface water level changes on the ET estimates in a riparian environment, thereby elucidating the potential caveats of using groundwater level diurnal fluctuations to estimate groundwater ET in riparian zones. The groundwater level and river stage data were monitored in a stand of Tamarisk Ramossisima on the Colorado River near Blythe, California, USA. Tamarisk Ramossisima is an obligate phreatophyte that requires direct access to groundwater for its source of water. Recently, several federal agencies are focusing efforts on eradicating or otherwise controlling Tamarisk. Results show that the most significant diurnal signal from the measurement of groundwater levels of monitoring wells can be attributed to ET; however, distance of the groundwater level monitoring wells to the river directly impacts our ability to separate the different signals from ET and river stage changes. For groundwater levels monitored near the river, the spectral analysis in both time and frequency domains gives strong indications of sensitive variations of groundwater fluctuation to water stage in the river. For wells closer to the river, although diurnal fluctuations also exist during high ET season, other site conditions were found to interfere with the fluctuations. As a result, ET estimates based on diurnal fluctuations of groundwater levels from wells closer to the river would have large errors.

Jianting Zhu, Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY
Jianting "Julian" Zhu has been in national laboratories, research institutes, and universities in Canada and the United States for the past 20 years. He is currently a faculty member at the University of Wyoming. His research areas include: scale issues in hydrology and ecology, subsurface hydrology, upscaling of hydrological processes, uncertainty and sensitivity analysis, numerical modeling of hydrology and hydraulics, stochastic analysis and its applications, multiphase fluid flows and contaminant transport in porous media, and artificial neural network applications in hydrology and ecology. His teaching areas include: fluid dynamics, hydrometeorology, groundwater hydrology, hydrology, hydraulic engineering, geostatistics, and reservoir mechanics.

Peng Deng, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Peng Deng is a lecturer in the college of hydrometeorology at Nanjing University of Information Science and Technology, and currently a visiting researcher at the University of Wyoming. His research interest includes hydrologic modeling, geographic information system, watershed rainfall-runoff theory, climatological statistical diagnosis. He received his B.E. degree in Hydrology and Water Resources Engineering in 2005 and his Ph.D. in Hydrology and Water Resources in 2010 both from Hohai University, China. He has 10 papers in referred journals and forums. His teaching areas include: Visual Basic Programming and Hydrologic Forecast.