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    Modeling Evapotranspiration of Two Land Covers Using Integrated Hydrologic Model

    Source: Journal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 008
    Author:
    Jing Zhang
    ,
    Mark A. Ross
    DOI: 10.1061/(ASCE)IR.1943-4774.0000209
    Publisher: American Society of Civil Engineers
    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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      Modeling Evapotranspiration of Two Land Covers Using Integrated Hydrologic Model

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    contributor authorJing Zhang
    contributor authorMark A. Ross
    date accessioned2017-05-08T21:52:43Z
    date available2017-05-08T21:52:43Z
    date copyrightAugust 2010
    date issued2010
    identifier other%28asce%29ir%2E1943-4774%2E0000236.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65097
    description abstractModeling 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.
    publisherAmerican Society of Civil Engineers
    titleModeling Evapotranspiration of Two Land Covers Using Integrated Hydrologic Model
    typeJournal Paper
    journal volume136
    journal issue8
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000209
    treeJournal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 008
    contenttypeFulltext
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