Modeling Evapotranspiration of Two Land Covers Using Integrated Hydrologic Model
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 8
Abstract
Modeling evapotranspiration (ET) distribution in shallow water table environments is of great importance for understanding and reproducing other hydrologic fluxes such as runoff and recharge. Unfortunately, ET distribution can be the most difficult hydrologic process to analyze. The partitioning of ET into upper zone ET, lower zone ET, and groundwater ET is complex because it depends on land cover and subsurface characteristics. One comprehensive distributed parameter model, integrated hydrologic model (IHM), builds on an improved understanding and characterization of ET partitioning between surface storages, vadose zone storage, and saturated groundwater storage. It provides a smooth transition to satisfy ET demand between the vadose zone and the deeper saturated groundwater. In this paper, the IHM was used to analyze ET contribution from different regions of the vadose zone and saturated zone. Rigorous testing was done on two distinct land covers, grass land and forest land, at a study site in West-Central Florida. Sensitivity analysis on the key parameters was investigated and influence of parameters on ET behavior was also discussed. Statistics with the root mean square error and mean bias error for forest total ET were about 1.46 and 0.04 mm/day, respectively, and 1.61 and 1.07 mm/day for grass total ET. Modeling results further proved that ET distributions from the upper and lower soil and water table, while incorporating field-scale variability of soil and land cover properties, can be predicted reasonably well using IHM model.
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Acknowledgments
This work was supported by Tampa Bay Water; and Project 40901026 supported by National Natural Science Foundation of China (NSFC).
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Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 8 • August 2010
Pages: 511 - 518
Copyright
© 2010 ASCE.
History
Received: Sep 28, 2008
Accepted: Dec 14, 2009
Published online: Jul 15, 2010
Published in print: Aug 2010
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