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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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. |
doi_str_mv | 10.1007/s12665-019-8422-x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2258055853</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2258055853</sourcerecordid><originalsourceid>FETCH-LOGICAL-a339t-daa7c634f36404713fe07c534fb1d9077ba510535872972ea7747b260809e4793</originalsourceid><addsrcrecordid>eNp1UE1LAzEQDaJg0f4AbwHPq_nYfHmT4hcUBFE8hnQ326bYZE2ytf57U1f05FxmePPeG-YBcIbRBUZIXCZMOGcVwqqSNSHV7gBMsOS84kSpw99ZomMwTWmNSlFMFeITsHuyW5dcdn4J88rC15XLFm5sXoUWdiFCm7LbmO_9MobBtx8m2wJvTR9yND71LpZ18FfQwCb45Fo7AjB0MA0-2QyNb_djdMnCYlfM0ik46sxbstOffgJebm-eZ_fV_PHuYXY9rwylKletMaLhtO4or1EtMO0sEg0rwAK3CgmxMAwjRpkURAlijRC1WBCOJFK2FoqegPPRt4_hfSjf6HUYoi8nNSFMIsYko4WFR1YTQ0rRdrqP5e34qTHS-4z1mLEuGet9xnpXNGTUpML1Sxv_nP8XfQGsu4D_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2258055853</pqid></control><display><type>article</type><title>Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings</title><source>SpringerLink Journals - AutoHoldings</source><creator>Wang, Tian-Ye ; Wang, Ping ; Yu, Jing-Jie ; Pozdniakov, Sergey P. ; Du, Chao-Yang ; Zhang, Yi-Chi</creator><creatorcontrib>Wang, Tian-Ye ; Wang, Ping ; Yu, Jing-Jie ; Pozdniakov, Sergey P. ; Du, Chao-Yang ; Zhang, Yi-Chi</creatorcontrib><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.</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). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-daa7c634f36404713fe07c534fb1d9077ba510535872972ea7747b260809e4793</citedby><cites>FETCH-LOGICAL-a339t-daa7c634f36404713fe07c534fb1d9077ba510535872972ea7747b260809e4793</cites><orcidid>0000-0003-2481-9953</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12665-019-8422-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-019-8422-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Wang, Tian-Ye</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Yu, Jing-Jie</creatorcontrib><creatorcontrib>Pozdniakov, Sergey P.</creatorcontrib><creatorcontrib>Du, Chao-Yang</creatorcontrib><creatorcontrib>Zhang, Yi-Chi</creatorcontrib><title>Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><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.</description><subject>Arid climates</subject><subject>Aridity</subject><subject>Biogeosciences</subject><subject>Dependence</subject><subject>Diurnal</subject><subject>Duration</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Science and Engineering</subject><subject>Estimation</subject><subject>Evaporation</subject><subject>Evapotranspiration</subject><subject>Evapotranspiration estimates</subject><subject>Geochemistry</subject><subject>Geological surveys</subject><subject>Geology</subject><subject>Government agencies</subject><subject>Groundwater</subject><subject>Groundwater levels</subject><subject>Groundwater table</subject><subject>Hydrology/Water Resources</subject><subject>Numerical experiments</subject><subject>Original Article</subject><subject>Recovery</subject><subject>Seasonal variations</subject><subject>Soil</subject><subject>Soil investigations</subject><subject>Solar radiation</subject><subject>Sunrise</subject><subject>Sunset</subject><subject>Surveying</subject><subject>Terrestrial Pollution</subject><subject>Uncertainty</subject><subject>Water discharge</subject><subject>Water supply</subject><subject>Water table</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1UE1LAzEQDaJg0f4AbwHPq_nYfHmT4hcUBFE8hnQ326bYZE2ytf57U1f05FxmePPeG-YBcIbRBUZIXCZMOGcVwqqSNSHV7gBMsOS84kSpw99ZomMwTWmNSlFMFeITsHuyW5dcdn4J88rC15XLFm5sXoUWdiFCm7LbmO_9MobBtx8m2wJvTR9yND71LpZ18FfQwCb45Fo7AjB0MA0-2QyNb_djdMnCYlfM0ik46sxbstOffgJebm-eZ_fV_PHuYXY9rwylKletMaLhtO4or1EtMO0sEg0rwAK3CgmxMAwjRpkURAlijRC1WBCOJFK2FoqegPPRt4_hfSjf6HUYoi8nNSFMIsYko4WFR1YTQ0rRdrqP5e34qTHS-4z1mLEuGet9xnpXNGTUpML1Sxv_nP8XfQGsu4D_</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Wang, Tian-Ye</creator><creator>Wang, Ping</creator><creator>Yu, Jing-Jie</creator><creator>Pozdniakov, Sergey P.</creator><creator>Du, Chao-Yang</creator><creator>Zhang, Yi-Chi</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2481-9953</orcidid></search><sort><creationdate>20190701</creationdate><title>Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings</title><author>Wang, Tian-Ye ; Wang, Ping ; Yu, Jing-Jie ; Pozdniakov, Sergey P. ; Du, Chao-Yang ; Zhang, Yi-Chi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a339t-daa7c634f36404713fe07c534fb1d9077ba510535872972ea7747b260809e4793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Arid climates</topic><topic>Aridity</topic><topic>Biogeosciences</topic><topic>Dependence</topic><topic>Diurnal</topic><topic>Duration</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Science and Engineering</topic><topic>Estimation</topic><topic>Evaporation</topic><topic>Evapotranspiration</topic><topic>Evapotranspiration estimates</topic><topic>Geochemistry</topic><topic>Geological surveys</topic><topic>Geology</topic><topic>Government agencies</topic><topic>Groundwater</topic><topic>Groundwater levels</topic><topic>Groundwater table</topic><topic>Hydrology/Water Resources</topic><topic>Numerical experiments</topic><topic>Original Article</topic><topic>Recovery</topic><topic>Seasonal variations</topic><topic>Soil</topic><topic>Soil investigations</topic><topic>Solar radiation</topic><topic>Sunrise</topic><topic>Sunset</topic><topic>Surveying</topic><topic>Terrestrial Pollution</topic><topic>Uncertainty</topic><topic>Water discharge</topic><topic>Water supply</topic><topic>Water table</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Tian-Ye</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Yu, Jing-Jie</creatorcontrib><creatorcontrib>Pozdniakov, Sergey P.</creatorcontrib><creatorcontrib>Du, Chao-Yang</creatorcontrib><creatorcontrib>Zhang, Yi-Chi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Tian-Ye</au><au>Wang, Ping</au><au>Yu, Jing-Jie</au><au>Pozdniakov, Sergey P.</au><au>Du, Chao-Yang</au><au>Zhang, Yi-Chi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Revisiting the White method for estimating groundwater evapotranspiration: a consideration of sunset and sunrise timings</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>78</volume><issue>14</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><artnum>412</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>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.</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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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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