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A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration
by
Wang, Dingbao
, Parajuli, Kshitij
, Yao, Lili
, Zeng, Fanzhang
, Zhang, Yu
, Geurink, Jeffrey S.
in
Aeration zone
/ Annual
/ Annual precipitation
/ Arid regions
/ Arid zones
/ Aridity
/ Availability
/ baseflow
/ Budyko equation
/ climate
/ climate aridity index
/ Climatic indexes
/ dry environmental conditions
/ energy
/ Energy distribution
/ Evapotranspiration
/ Evapotranspiration models
/ Florida
/ Groundwater
/ groundwater evapotranspiration
/ Groundwater table
/ Hydrologic models
/ IHM
/ Parameter estimation
/ Parameter identification
/ Parameters
/ Partitioning
/ Precipitation
/ Shape
/ shape parameter
/ Spatial distribution
/ Storage capacity
/ storage capacity index
/ Storage conditions
/ Water availability
/ Water depth
/ Water table
/ Watersheds
2024
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A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration
by
Wang, Dingbao
, Parajuli, Kshitij
, Yao, Lili
, Zeng, Fanzhang
, Zhang, Yu
, Geurink, Jeffrey S.
in
Aeration zone
/ Annual
/ Annual precipitation
/ Arid regions
/ Arid zones
/ Aridity
/ Availability
/ baseflow
/ Budyko equation
/ climate
/ climate aridity index
/ Climatic indexes
/ dry environmental conditions
/ energy
/ Energy distribution
/ Evapotranspiration
/ Evapotranspiration models
/ Florida
/ Groundwater
/ groundwater evapotranspiration
/ Groundwater table
/ Hydrologic models
/ IHM
/ Parameter estimation
/ Parameter identification
/ Parameters
/ Partitioning
/ Precipitation
/ Shape
/ shape parameter
/ Spatial distribution
/ Storage capacity
/ storage capacity index
/ Storage conditions
/ Water availability
/ Water depth
/ Water table
/ Watersheds
2024
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A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration
by
Wang, Dingbao
, Parajuli, Kshitij
, Yao, Lili
, Zeng, Fanzhang
, Zhang, Yu
, Geurink, Jeffrey S.
in
Aeration zone
/ Annual
/ Annual precipitation
/ Arid regions
/ Arid zones
/ Aridity
/ Availability
/ baseflow
/ Budyko equation
/ climate
/ climate aridity index
/ Climatic indexes
/ dry environmental conditions
/ energy
/ Energy distribution
/ Evapotranspiration
/ Evapotranspiration models
/ Florida
/ Groundwater
/ groundwater evapotranspiration
/ Groundwater table
/ Hydrologic models
/ IHM
/ Parameter estimation
/ Parameter identification
/ Parameters
/ Partitioning
/ Precipitation
/ Shape
/ shape parameter
/ Spatial distribution
/ Storage capacity
/ storage capacity index
/ Storage conditions
/ Water availability
/ Water depth
/ Water table
/ Watersheds
2024
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A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration
Journal Article
A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration
2024
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Overview
An analytical model is developed for mean annual groundwater evapotranspiration (GWET) at the watershed scale based on a three‐stage precipitation partitioning framework. The ratio of mean annual GWET to precipitation, defined as GWET ratio, is modeled as a function of climate aridity index (CAI), storage capacity index, the shape parameter ‘a’ for the spatial distribution of storage capacity, and the shape parameter ‘b’ for the spatial distribution of available water for GWET. In humid regions, GWET ratio tends to increase with increasing CAI due to the limited energy supply and shallower depth to water table (DWT) for a given storage capacity index. In contrast, in arid regions, the GWET ratio tends to decrease as the CAI increases because of the limited water availability and the presence of a deeper DWT for a given storage capacity index. In arid regions, the GWET ratio decreases as the parameter ‘a’ increases, mainly because of increased ET from a thicker unsaturated zone in environments with a deeper DWT. GWET ratio increases as parameter ‘b’ increases due to more watershed area with larger available water for GWET. The storage capacity index and shape parameters are estimated for 31 study watersheds in Tampa Bay Florida area based on the simulated GWET from an integrated hydrologic model and for 21 watersheds from literature. A possible correlation has been identified between the two shape parameters in the Tampa Bay watersheds. The analytical model for mean annual GWET can be further tested in other watersheds if data are available. Key Points Mean annual groundwater evapotranspiration (GWET) is modeled by analytical equations through a three‐stage partitioning framework Mean annual GWET increases initially and then declines with increase in climate aridity index for given parameter values Shallow groundwater table in west‐central Florida results in similar spatial distributions of storage capacity and available water for GWET
Publisher
John Wiley & Sons, Inc,Wiley
Subject
/ Annual
/ Aridity
/ baseflow
/ climate
/ dry environmental conditions
/ energy
/ Florida
/ groundwater evapotranspiration
/ IHM
/ Shape
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