Groundwater evapotranspiration estimation based on soil moisture and water table measurements

doi:10.7522/j.issn.1000-694X.2022.00051

Journal of Desert Research ›› 2022, Vol. 42 ›› Issue (6): 277-287.DOI: 10.7522/j.issn.1000-694X.2022.00051

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Groundwater evapotranspiration estimation based on soil moisture and water table measurements

Lin Li¹^,²(), Hu Liu¹(), Chengpeng Sun¹^,², Wenzhi Zhao¹

^1.Linze Inland River Basin Research Station / Key Laboratory of Eco-Hydrology of Inland River Basin，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
^2.University of Chinese Academy of Sciences，Beijing 100049，China

Received:2022-02-17 Revised:2022-03-23 Online:2022-11-20 Published:2023-01-09
Contact: Hu Liu

Abstract

Abstract:

As one of the most important components of the vertical hydrological cycle in shallow groundwater environments and the major groundwater drainage mode naturally （>70%）， the accurate estimation of groundwater evapotranspiration （ET_g） is of great significance for the management of agriculture and water resources， reasonable protection and restoration of groundwater dependent vegetation in arid areas. Based on the water table and soil moisture fluctuation methods， ET_g of Elaeagnus angustifolia. near Suolongtan Wetland in Linze County， Gansu Province during the 2017-2018 growing season （From April 15 to October 15） was estimated. The results showed that：（1） ET_g was 275 mm and 511 mm in 2017 and 2018， accounting for 73% and 87% of actual evapotranspiration （ET_g/ET_a）. Amount during July and August accounted for 48.2% and 48.4% of the total ET_g in the whole growing season， which roughly coincided with the dynamics of groundwater depth and vegetation growth process. （2） ET_g and its proportion in ET_a are positively correlated with potential evapotranspiration， soil water storage and groundwater depth （P<0.05）， the explained variances of the ET_gby the three different factors are 48%， 21%， and 31% in 2017， and 24%， 24%， and 52% in 2018. （3） Data-driven method is feasible in the ET_g quantitative evaluation of shallow groundwater environments in the desert oasis transition zone， but with relatively low temporal resolution， while data-driven method with mechanism modeling maybe a potential idea to improve the accuracy and resolution of ET_g estimation in the study area.

Key words: groundwater evapotranspiration, water table fluctuations, soil moisture, data-driven method, arid region of northwest China

CLC Number:

P641.74

Lin Li, Hu Liu, Chengpeng Sun, Wenzhi Zhao. Groundwater evapotranspiration estimation based on soil moisture and water table measurements[J]. Journal of Desert Research, 2022, 42(6): 277-287.

Figures/Tables 8

Fig. 1 Overview of the study area

Fig. 2 Hydrometeorological characteristics of the study area during the growing season of 2017 and 2018. A. Soil water content profile distribution in 2017， B. Soil water content profile distribution in 2018， C. Meteorological characteristics

Fig. 3 Diagram of the water table fluctuation method. A. White method， B. Hays method

Fig. 4 Schematic diagram of ETa estimation by soil moisture fluctuation method （Modified from Nachabe et al.［55］）

Fig. 5 Diurnal fluctuation of groundwater table depth and soil moisture during selected periods （Take the soil moisture data collected at 210 cm as an example）

Fig. 6 Relationship between the measured soil moisture and the distance （Dgt） from the corresponding position to the groundwater table： A，B during the growing and non-growing seasons of 2017， respectively； C，D during the growing and non-growing seasons of 2018， respectively

Fig. 7 Estimation of actual evapotranspiration （ETa） and groundwater evapotranspiration （ETg）

Fig. 8 Relationship between actual evapotranspiration （ETa） and groundwater evapotranspiration （ETg）

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Groundwater evapotranspiration estimation based on soil moisture and water table measurements

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