the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of Evapotranspiration and Other Soil Water Budget Components in an Irrigated Agricultural Field of a Desert Oasis, Using Soil Moisture Measurements
Zhongkai Li
Wenzhi Zhao
Qiyue Yang
Rong Yang
Jintao Liu
Abstract. An accurate assessment of soil water budget components (SWBCs) is necessary for improving irrigation strategies and optimizing the use of fertilizer in any water-limited environment such as the desert oases in arid northwestern China. However, quantitative information of SWBCs is usually challenging to obtain, because, since the water cycle is principally driven by irrigation (I), drainage (D), and evapotranspiration (ET) in desert oasis settings, none of the drivers can be easily measured under actual conditions. Soil moisture is a variable that integrates the water balance components of land surface hydrology, and the evolution of soil moisture is assumed to contain the memory of antecedent hydrologic fluxes, and thus can be used to determine SWBCs from a hydrologic balance. A database of soil moisture measurements from six experimental plots in the middle Heihe River Basin of China (NT1 to NT6, designed to investigate the long-term effects of cropping systems and agronomic manipulation on soil property evolution in the ecotone of desert and oasis) was used to test the potential of a soil moisture database in estimating the SWBCs. The experimental plots were treated as continuous pasture cropping, maize cropping, maize cropping with straw return, maize-maize-pasture rotation, maize-pasture rotation, and maize-pasture intercropping. We first compared the hydrophysical properties of the soils in the plots, including soil bulk density (ρb), vertical saturated hydraulic conductivity (Ks), and soil water retention features, and then determined evapotranspiration and other SWBCs through a data-driven method that combined both the soil water balance method and the inverse Richards function. Our results showed that although the tillage and planting of the past decade have significantly increased the soils' water-holding ability, the magnitude of increase in most of the parameters was independent of the treatments applied across the plots. Despite the relatively flat topography and consciously uniform irrigation, significant variances were observed among the plots in both the cumulative irrigation volumes (between 652.1 mm at NT3 and 1186.5 mm at NT1) and deep drainages (between 170.7 mm at NT3 and 651.8 mm at NT1) during the growing season of 2016. Obvious correlation existed between the volume of irrigation and that of drained water. However, the ET demands for all the plots behaved pretty much the same, with the cumulative ET values ranging between 489.1 and 561.9 mm for the different treatments in 2016, suggesting that the irrigation amounts had limited influence on the accumulated ET throughout the growing season. This work also confirmed that relatively reasonable estimations of the SWBCs in a desert oasis environment can be derived by using soil moisture measurements, and the results will provide a great potential for identifying appropriate irrigation amounts and frequencies, and thus move toward sustainable water resources management, even under traditional surface irrigation conditions.
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Zhongkai Li et al.


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SC1: 'short comment', Luca Brocca, 17 Oct 2018
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AC4: 'Response to Dr. L. Brocca (SC1)', Hu Liu, 29 Dec 2018
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AC4: 'Response to Dr. L. Brocca (SC1)', Hu Liu, 29 Dec 2018
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SC2: 'Comments on Estimation of ET and other soil water budget components in an irrigated agricultural field of a desert oasis, using soil moisture measurements', Yanjun Shen, 31 Oct 2018
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AC1: 'Response to Prof. Y. Shen (SC2)', Hu Liu, 14 Dec 2018
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AC1: 'Response to Prof. Y. Shen (SC2)', Hu Liu, 14 Dec 2018
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RC1: 'Interactive comment on “Estimation of Evapotranspiration and Other Soil Water Budget Components in an Irrigated Agricultural Field of a Desert Oasis, Using Soil Moisture Measurements” by Zhongkai Li et al.', Jun Niu, 13 Nov 2018
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AC2: 'Response to Dr. J. Niu (RC1)', Hu Liu, 28 Dec 2018
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AC2: 'Response to Dr. J. Niu (RC1)', Hu Liu, 28 Dec 2018
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RC2: 'More reliable data is required', Anonymous Referee #2, 14 Nov 2018
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AC5: 'Response to the anonymous reviewer 2# (RC2)', Hu Liu, 02 Jan 2019
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AC5: 'Response to the anonymous reviewer 2# (RC2)', Hu Liu, 02 Jan 2019
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RC3: 'Composition can be improved', Anonymous Referee #3, 16 Nov 2018
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AC3: 'Response to the anonymous reviewer 3# (RC3)', Hu Liu, 28 Dec 2018
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AC3: 'Response to the anonymous reviewer 3# (RC3)', Hu Liu, 28 Dec 2018


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SC1: 'short comment', Luca Brocca, 17 Oct 2018
-
AC4: 'Response to Dr. L. Brocca (SC1)', Hu Liu, 29 Dec 2018
-
AC4: 'Response to Dr. L. Brocca (SC1)', Hu Liu, 29 Dec 2018
-
SC2: 'Comments on Estimation of ET and other soil water budget components in an irrigated agricultural field of a desert oasis, using soil moisture measurements', Yanjun Shen, 31 Oct 2018
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AC1: 'Response to Prof. Y. Shen (SC2)', Hu Liu, 14 Dec 2018
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AC1: 'Response to Prof. Y. Shen (SC2)', Hu Liu, 14 Dec 2018
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RC1: 'Interactive comment on “Estimation of Evapotranspiration and Other Soil Water Budget Components in an Irrigated Agricultural Field of a Desert Oasis, Using Soil Moisture Measurements” by Zhongkai Li et al.', Jun Niu, 13 Nov 2018
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AC2: 'Response to Dr. J. Niu (RC1)', Hu Liu, 28 Dec 2018
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AC2: 'Response to Dr. J. Niu (RC1)', Hu Liu, 28 Dec 2018
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RC2: 'More reliable data is required', Anonymous Referee #2, 14 Nov 2018
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AC5: 'Response to the anonymous reviewer 2# (RC2)', Hu Liu, 02 Jan 2019
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AC5: 'Response to the anonymous reviewer 2# (RC2)', Hu Liu, 02 Jan 2019
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RC3: 'Composition can be improved', Anonymous Referee #3, 16 Nov 2018
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AC3: 'Response to the anonymous reviewer 3# (RC3)', Hu Liu, 28 Dec 2018
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AC3: 'Response to the anonymous reviewer 3# (RC3)', Hu Liu, 28 Dec 2018
Zhongkai Li et al.
Zhongkai Li et al.
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Cited
2 citations as recorded by crossref.
- Assessment of Contamination Management Caused by Copper and Zinc Cations Leaching and Their Impact on the Hydraulic Properties of a Sandy and a Loamy Clay Soil A. Angelaki et al. 10.3390/land11020290
- Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model M. Hamze et al. 10.3390/rs15164081