Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones
The water table fluctuation (WTF) method is popular for groundwater recharge (GR) estimation, but its accuracy is challenged when applied in areas with thick vadose zones because of the signal lag and attenuation with depth and uncertainties from barometric pressure effect and lateral flow. Improvem...
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| Veröffentlicht in: | Hydrological sciences journal 2024-10, Vol.69 (14), p.2044-2056 |
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| container_title | Hydrological sciences journal |
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| creator | Sun, Jineng Yan, Xin Li, Shujian Wang, Wanzhou Liu, Wenzhao Li, Zhi |
| description | The water table fluctuation (WTF) method is popular for groundwater recharge (GR) estimation, but its accuracy is challenged when applied in areas with thick vadose zones because of the signal lag and attenuation with depth and uncertainties from barometric pressure effect and lateral flow. Improvement of the WTF method used the linear regression method and Darcy's law, and has been assessed to give satisfactory results. In particular, the improved method presented lower GR (20-34%) relative to the conventional method. GR decreased from the centre to the edge of the tableland. The regional average GR was 63-81 mm year
−1
, equivalent to 11-14% of annual average rainfall. Lag times between recharge and rainfall ranged from 1 to 9 months. Rainfall and vegetation dominated the spatiotemporal variability of GR. Our study provides reference and technical support for GR estimation with the WTF method in regions with a thick vadose zone. |
| doi_str_mv | 10.1080/02626667.2024.2400208 |
| format | Article |
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−1
, equivalent to 11-14% of annual average rainfall. Lag times between recharge and rainfall ranged from 1 to 9 months. Rainfall and vegetation dominated the spatiotemporal variability of GR. Our study provides reference and technical support for GR estimation with the WTF method in regions with a thick vadose zone.</description><identifier>ISSN: 0262-6667</identifier><identifier>EISSN: 2150-3435</identifier><identifier>DOI: 10.1080/02626667.2024.2400208</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Annual rainfall ; Atmospheric pressure ; barometric pressure effect ; Groundwater ; Groundwater recharge ; Groundwater table ; lateral flow ; Precipitation ; Pressure effects ; Rainfall ; thick vadose zone ; Vadose water ; Vegetation ; Water table ; water table fluctuation</subject><ispartof>Hydrological sciences journal, 2024-10, Vol.69 (14), p.2044-2056</ispartof><rights>2024 IAHS 2024</rights><rights>2024 IAHS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c216t-713daf21760b58cd6f1d63aacb3fe5b1b7dea5845721f61add3a2abcb8ade7213</cites><orcidid>0000-0002-9268-6497</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/02626667.2024.2400208$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/02626667.2024.2400208$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,59647,60436</link.rule.ids></links><search><creatorcontrib>Sun, Jineng</creatorcontrib><creatorcontrib>Yan, Xin</creatorcontrib><creatorcontrib>Li, Shujian</creatorcontrib><creatorcontrib>Wang, Wanzhou</creatorcontrib><creatorcontrib>Liu, Wenzhao</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><title>Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones</title><title>Hydrological sciences journal</title><description>The water table fluctuation (WTF) method is popular for groundwater recharge (GR) estimation, but its accuracy is challenged when applied in areas with thick vadose zones because of the signal lag and attenuation with depth and uncertainties from barometric pressure effect and lateral flow. Improvement of the WTF method used the linear regression method and Darcy's law, and has been assessed to give satisfactory results. In particular, the improved method presented lower GR (20-34%) relative to the conventional method. GR decreased from the centre to the edge of the tableland. The regional average GR was 63-81 mm year
−1
, equivalent to 11-14% of annual average rainfall. Lag times between recharge and rainfall ranged from 1 to 9 months. Rainfall and vegetation dominated the spatiotemporal variability of GR. Our study provides reference and technical support for GR estimation with the WTF method in regions with a thick vadose zone.</description><subject>Annual rainfall</subject><subject>Atmospheric pressure</subject><subject>barometric pressure effect</subject><subject>Groundwater</subject><subject>Groundwater recharge</subject><subject>Groundwater table</subject><subject>lateral flow</subject><subject>Precipitation</subject><subject>Pressure effects</subject><subject>Rainfall</subject><subject>thick vadose zone</subject><subject>Vadose water</subject><subject>Vegetation</subject><subject>Water table</subject><subject>water table fluctuation</subject><issn>0262-6667</issn><issn>2150-3435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwE5AscU7xI3bCDVTxqFSJC5ytjR9tShoXx2lVfj2OUq6cVlp9M7szCN1SMqOkJPeESSalLGaMsHzGckIYKc_QhFFBMp5zcY4mA5MN0CW66roNITx_kHyC3GK7C35ftysc1xYfINqAI1SNxa7pdewh1r7FWxvX3uDose1ivU0UXgXft2YUBKvXEFYWV7bxh-RU6y-8B-M7i398a7trdOGg6ezNaU7R58vzx_wtW76_LuZPy0wzKmNWUG7AMVpIUolSG-mokRxAV9xZUdGqMBZEmYuCUScpGMOBQaWrEoxNOz5Fd6NvCvXdp1_VxvehTScVp4xLKSgViRIjpYPvumCd2oUUKhwVJWqoVP1VqoZK1anSpHscdXXrfNjCwYfGqAjHxgcXoNX1cOZfi19kMn_t</recordid><startdate>20241025</startdate><enddate>20241025</enddate><creator>Sun, Jineng</creator><creator>Yan, Xin</creator><creator>Li, Shujian</creator><creator>Wang, Wanzhou</creator><creator>Liu, Wenzhao</creator><creator>Li, Zhi</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9268-6497</orcidid></search><sort><creationdate>20241025</creationdate><title>Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones</title><author>Sun, Jineng ; Yan, Xin ; Li, Shujian ; Wang, Wanzhou ; Liu, Wenzhao ; Li, Zhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c216t-713daf21760b58cd6f1d63aacb3fe5b1b7dea5845721f61add3a2abcb8ade7213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Annual rainfall</topic><topic>Atmospheric pressure</topic><topic>barometric pressure effect</topic><topic>Groundwater</topic><topic>Groundwater recharge</topic><topic>Groundwater table</topic><topic>lateral flow</topic><topic>Precipitation</topic><topic>Pressure effects</topic><topic>Rainfall</topic><topic>thick vadose zone</topic><topic>Vadose water</topic><topic>Vegetation</topic><topic>Water table</topic><topic>water table fluctuation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Jineng</creatorcontrib><creatorcontrib>Yan, Xin</creatorcontrib><creatorcontrib>Li, Shujian</creatorcontrib><creatorcontrib>Wang, Wanzhou</creatorcontrib><creatorcontrib>Liu, Wenzhao</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Hydrological sciences journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Jineng</au><au>Yan, Xin</au><au>Li, Shujian</au><au>Wang, Wanzhou</au><au>Liu, Wenzhao</au><au>Li, Zhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones</atitle><jtitle>Hydrological sciences journal</jtitle><date>2024-10-25</date><risdate>2024</risdate><volume>69</volume><issue>14</issue><spage>2044</spage><epage>2056</epage><pages>2044-2056</pages><issn>0262-6667</issn><eissn>2150-3435</eissn><abstract>The water table fluctuation (WTF) method is popular for groundwater recharge (GR) estimation, but its accuracy is challenged when applied in areas with thick vadose zones because of the signal lag and attenuation with depth and uncertainties from barometric pressure effect and lateral flow. Improvement of the WTF method used the linear regression method and Darcy's law, and has been assessed to give satisfactory results. In particular, the improved method presented lower GR (20-34%) relative to the conventional method. GR decreased from the centre to the edge of the tableland. The regional average GR was 63-81 mm year
−1
, equivalent to 11-14% of annual average rainfall. Lag times between recharge and rainfall ranged from 1 to 9 months. Rainfall and vegetation dominated the spatiotemporal variability of GR. Our study provides reference and technical support for GR estimation with the WTF method in regions with a thick vadose zone.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/02626667.2024.2400208</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9268-6497</orcidid></addata></record> |
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| source | Taylor & Francis:Master (3349 titles) |
| subjects | Annual rainfall Atmospheric pressure barometric pressure effect Groundwater Groundwater recharge Groundwater table lateral flow Precipitation Pressure effects Rainfall thick vadose zone Vadose water Vegetation Water table water table fluctuation |
| title | Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones |
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