Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone
Study region: The Akesu National Station of Observation and Research for Oasis Agro-ecosystem in the Tarim River Basin, a typical arid region in northwest China. Study focus: Groundwater evapotranspiration (ETg) is a key discharge pathway in arid regions, influenced by hydrothermal conditions and ve...
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Elsevier
2025-04-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825000333 |
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| author | Peng Yao Fengzhi Shi Yuehui Wang Ningze Dai Chengyi Zhao |
| author_facet | Peng Yao Fengzhi Shi Yuehui Wang Ningze Dai Chengyi Zhao |
| author_sort | Peng Yao |
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| description | Study region: The Akesu National Station of Observation and Research for Oasis Agro-ecosystem in the Tarim River Basin, a typical arid region in northwest China. Study focus: Groundwater evapotranspiration (ETg) is a key discharge pathway in arid regions, influenced by hydrothermal conditions and vegetation water use, complicating accurate estimation. Using an automatic water level-compensating lysimeter, ETg was monitored hourly for P euphratica, T ramosissima, and bare land at groundwater depths of 0.7, 1.1, and 1.5 m in August 2023. Variations at hourly and daily scales were analyzed, and a modified White method was applied to estimate ETg. Principal component analysis and a random forest model were used to assess meteorological influences. New hydrological insights for the region: Deeper groundwater reduced ETg from bare land but increased ETg from P. euphratica and T. ramosissima. Vegetation transpiration as a proportion of total evapotranspiration increased with groundwater depth. The average errors in estimating P. euphratica and T. ramosissima ETg using White (20–4) were 30 % and 32 %, and the average error in estimating bare land ETg using White (20–8) was 23 %, which is a reduction of 5, 18, and 4 %, respectively, compared to the traditional White method. Ground temperature was the primary meteorological factor influencing ETg, followed by relative humidity, air temperature, and solar radiation, collectively accounting for > 70 %. These findings enhance understanding of ETg dynamics and improve White methods, critical for groundwater assessment in arid regions. |
| format | Article |
| id | doaj-art-b57d4537f4b94b5baa6062d9cfbe6e60 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
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| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-b57d4537f4b94b5baa6062d9cfbe6e602025-01-31T05:11:20ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-04-0158102209Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zonePeng Yao0Fengzhi Shi1Yuehui Wang2Ningze Dai3Chengyi Zhao4State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Alaer 843300, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Alaer 843300, China; University of Chinese Academy of Sciences, Beijing 100049, China; Correspondence to: Xinjiang Institute of Ecology and Geography, No.818 South Beijing Road, Urumqi 830011, China.Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Alaer 843300, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaStudy region: The Akesu National Station of Observation and Research for Oasis Agro-ecosystem in the Tarim River Basin, a typical arid region in northwest China. Study focus: Groundwater evapotranspiration (ETg) is a key discharge pathway in arid regions, influenced by hydrothermal conditions and vegetation water use, complicating accurate estimation. Using an automatic water level-compensating lysimeter, ETg was monitored hourly for P euphratica, T ramosissima, and bare land at groundwater depths of 0.7, 1.1, and 1.5 m in August 2023. Variations at hourly and daily scales were analyzed, and a modified White method was applied to estimate ETg. Principal component analysis and a random forest model were used to assess meteorological influences. New hydrological insights for the region: Deeper groundwater reduced ETg from bare land but increased ETg from P. euphratica and T. ramosissima. Vegetation transpiration as a proportion of total evapotranspiration increased with groundwater depth. The average errors in estimating P. euphratica and T. ramosissima ETg using White (20–4) were 30 % and 32 %, and the average error in estimating bare land ETg using White (20–8) was 23 %, which is a reduction of 5, 18, and 4 %, respectively, compared to the traditional White method. Ground temperature was the primary meteorological factor influencing ETg, followed by relative humidity, air temperature, and solar radiation, collectively accounting for > 70 %. These findings enhance understanding of ETg dynamics and improve White methods, critical for groundwater assessment in arid regions.http://www.sciencedirect.com/science/article/pii/S2214581825000333Groundwater evapotranspirationLysimeterWhite methodMeteorological factor |
| spellingShingle | Peng Yao Fengzhi Shi Yuehui Wang Ningze Dai Chengyi Zhao Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone Journal of Hydrology: Regional Studies Groundwater evapotranspiration Lysimeter White method Meteorological factor |
| title | Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| title_full | Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| title_fullStr | Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| title_full_unstemmed | Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| title_short | Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| title_sort | estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone |
| topic | Groundwater evapotranspiration Lysimeter White method Meteorological factor |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825000333 |
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