Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings

The well-known White method (A method of estimating ground-water supplies based on discharge by plants and evaporation from soil: Results of investigation in Escalante Valley, Utah. Washington D.C, US Geological Survey. Water Supply Paper 659-A United States Department of the Interior, 1932 ) based...

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Veröffentlicht in:Environmental earth sciences 2019-07, Vol.78 (14), p.1-7, Article 412
Hauptverfasser: Wang, Tian-Ye, Wang, Ping, Yu, Jing-Jie, Pozdniakov, Sergey P., Du, Chao-Yang, Zhang, Yi-Chi
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container_issue 14
container_start_page 1
container_title Environmental earth sciences
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creator Wang, Tian-Ye
Wang, Ping
Yu, Jing-Jie
Pozdniakov, Sergey P.
Du, Chao-Yang
Zhang, Yi-Chi
description The well-known White method (A method of estimating ground-water supplies based on discharge by plants and evaporation from soil: Results of investigation in Escalante Valley, Utah. Washington D.C, US Geological Survey. Water Supply Paper 659-A United States Department of the Interior, 1932 ) based on diurnal water table observations has been widely applied to estimate groundwater evapotranspiration (ET G ) from phreatophyte vegetation. One of the limitations of this method is its large uncertainties in quantifying the daily groundwater recovery rate ( r ), which is assumed to be equal to the average rate of groundwater level rise between midnight (i.e., 00:00 h) and 04:00 h. Recent studies pointed out that ET G is highly dependent on the shape and duration of the diurnal clear-sky solar radiation curve and that using the groundwater recovery rate over a short interval of nighttime hours to represent the daily r may lead to large uncertainties in ET G estimates. In this study, we analysed the dependence of the estimated daily r on the sunset and sunrise timings. Numerical experiment results showed that the estimated r is highly sensitive to the duration between sunset and sunrise, which varies seasonally. Instead of using fixed time spans (TS s ), e.g., from midnight to 04:00 h, we recommend a more universal method for determining the TS, which is associated with the sunset and/or sunrise timings and used to estimate the daily r . This dynamic TS approach was tested at a Tamarix ramosissima -dominated riparian site with a hyper-arid climate (precipitation of 35 mm a −1 ) in northwestern China. Compared with the observed evapotranspiration (ET), our approach showed better performance and less subjectivity in estimating ET G than the traditional White approach.
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Washington D.C, US Geological Survey. Water Supply Paper 659-A United States Department of the Interior, 1932 ) based on diurnal water table observations has been widely applied to estimate groundwater evapotranspiration (ET G ) from phreatophyte vegetation. One of the limitations of this method is its large uncertainties in quantifying the daily groundwater recovery rate ( r ), which is assumed to be equal to the average rate of groundwater level rise between midnight (i.e., 00:00 h) and 04:00 h. Recent studies pointed out that ET G is highly dependent on the shape and duration of the diurnal clear-sky solar radiation curve and that using the groundwater recovery rate over a short interval of nighttime hours to represent the daily r may lead to large uncertainties in ET G estimates. In this study, we analysed the dependence of the estimated daily r on the sunset and sunrise timings. Numerical experiment results showed that the estimated r is highly sensitive to the duration between sunset and sunrise, which varies seasonally. Instead of using fixed time spans (TS s ), e.g., from midnight to 04:00 h, we recommend a more universal method for determining the TS, which is associated with the sunset and/or sunrise timings and used to estimate the daily r . This dynamic TS approach was tested at a Tamarix ramosissima -dominated riparian site with a hyper-arid climate (precipitation of 35 mm a −1 ) in northwestern China. Compared with the observed evapotranspiration (ET), our approach showed better performance and less subjectivity in estimating ET G than the traditional White approach.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-019-8422-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Arid climates ; Aridity ; Biogeosciences ; Dependence ; Diurnal ; Duration ; Earth and Environmental Science ; Earth Sciences ; Environmental Science and Engineering ; Estimation ; Evaporation ; Evapotranspiration ; Evapotranspiration estimates ; Geochemistry ; Geological surveys ; Geology ; Government agencies ; Groundwater ; Groundwater levels ; Groundwater table ; Hydrology/Water Resources ; Numerical experiments ; Original Article ; Recovery ; Seasonal variations ; Soil ; Soil investigations ; Solar radiation ; Sunrise ; Sunset ; Surveying ; Terrestrial Pollution ; Uncertainty ; Water discharge ; Water supply ; Water table</subject><ispartof>Environmental earth sciences, 2019-07, Vol.78 (14), p.1-7, Article 412</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Earth Sciences is a copyright of Springer, (2019). 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Numerical experiment results showed that the estimated r is highly sensitive to the duration between sunset and sunrise, which varies seasonally. Instead of using fixed time spans (TS s ), e.g., from midnight to 04:00 h, we recommend a more universal method for determining the TS, which is associated with the sunset and/or sunrise timings and used to estimate the daily r . This dynamic TS approach was tested at a Tamarix ramosissima -dominated riparian site with a hyper-arid climate (precipitation of 35 mm a −1 ) in northwestern China. 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Washington D.C, US Geological Survey. Water Supply Paper 659-A United States Department of the Interior, 1932 ) based on diurnal water table observations has been widely applied to estimate groundwater evapotranspiration (ET G ) from phreatophyte vegetation. One of the limitations of this method is its large uncertainties in quantifying the daily groundwater recovery rate ( r ), which is assumed to be equal to the average rate of groundwater level rise between midnight (i.e., 00:00 h) and 04:00 h. Recent studies pointed out that ET G is highly dependent on the shape and duration of the diurnal clear-sky solar radiation curve and that using the groundwater recovery rate over a short interval of nighttime hours to represent the daily r may lead to large uncertainties in ET G estimates. In this study, we analysed the dependence of the estimated daily r on the sunset and sunrise timings. Numerical experiment results showed that the estimated r is highly sensitive to the duration between sunset and sunrise, which varies seasonally. Instead of using fixed time spans (TS s ), e.g., from midnight to 04:00 h, we recommend a more universal method for determining the TS, which is associated with the sunset and/or sunrise timings and used to estimate the daily r . This dynamic TS approach was tested at a Tamarix ramosissima -dominated riparian site with a hyper-arid climate (precipitation of 35 mm a −1 ) in northwestern China. Compared with the observed evapotranspiration (ET), our approach showed better performance and less subjectivity in estimating ET G than the traditional White approach.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-019-8422-x</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2481-9953</orcidid></addata></record>
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identifier ISSN: 1866-6280
ispartof Environmental earth sciences, 2019-07, Vol.78 (14), p.1-7, Article 412
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subjects Arid climates
Aridity
Biogeosciences
Dependence
Diurnal
Duration
Earth and Environmental Science
Earth Sciences
Environmental Science and Engineering
Estimation
Evaporation
Evapotranspiration
Evapotranspiration estimates
Geochemistry
Geological surveys
Geology
Government agencies
Groundwater
Groundwater levels
Groundwater table
Hydrology/Water Resources
Numerical experiments
Original Article
Recovery
Seasonal variations
Soil
Soil investigations
Solar radiation
Sunrise
Sunset
Surveying
Terrestrial Pollution
Uncertainty
Water discharge
Water supply
Water table
title Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings
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