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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 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.
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 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.
Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone
Peng Yao (author) / Fengzhi Shi (author) / Yuehui Wang (author) / Ningze Dai (author) / Chengyi Zhao (author)
2025
Article (Journal)
Electronic Resource
Unknown
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