气候变化领域集成服务门户(CCPortal): Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis

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DOI	10.5194/hess-23-4685-2019
	Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis
	Li Z.; Liu H.; Zhao W.; Yang Q.; Yang R.; Liu J.
发表日期	2019
ISSN	1027-5606
起始页码	4685
结束页码	4706
卷号	23 期号:11
英文摘要	An accurate assessment of soil water balance components (SWBCs) is necessary for improving irrigation strategies in any water-limited environment. However, quantitative information on SWBCs is usually challenging to obtain, because none of the components (i.e., irrigation, drainage, and evapotranspiration) 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 can thus be used to determine SWBCs from a hydrologic balance. A database of soil moisture measurements from six experimental plots with different treatments in the middle Heihe River basin of China was used to test the potential of a such a database for estimating SWBCs. We first compared the hydrophysical properties of the soils in these plots, such as vertical saturated hydraulic conductivity (Ks) and soil water retention features, for supporting SWBC estimations. We then determined evapotranspiration and other SWBCs using a method that combined the soil water balance method and the inverse Richards equation (a model of unsaturated soil water flow based on the Richards equation). To test the accuracy of our estimation, we used both indirect methods (such as power consumption of the pumping irrigation well and published SWBCs values at nearby sites) and the water balance equation technique to verify the estimated SWBCs values, all of which showed good reliability with respect to our estimation method. Finally, the uncertainties of the proposed methods were analyzed to evaluate the systematic error of the SWBC estimation and any restrictions regarding its application. The results showed significant variances among the film-mulched plots in both the cumulative irrigation volumes (652.1-867.3 mm) and deep drainages (170.7-364.7 mm). Moreover, the un-mulched plot had remarkably higher values in both cumulative irrigation volumes (1186.5 mm) and deep drainages (651.8 mm) compared with the mulched plots. Obvious correlation existed between the volume of irrigation and that of drained water. However, the ET demands for all of 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 superfluous irrigation amounts had limited influence on the accumulated ET throughout the growing season due to the poor water-holding capacity of the sandy soil. This work confirmed that relatively reasonable estimations of the SWBCs in coarse-textured sandy soils can be derived by using soil moisture measurements; the proposed methods provided a reliable solution over the entire growing season and showed a great potential for identifying appropriate irrigation amounts and frequencies, and thus a move toward sustainable water resources management, even under traditional surface irrigation conditions. © 2019 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	Evapotranspiration; Flow of water; Frequency estimation; Hydraulic conductivity; Inverse problems; Irrigation; Moisture determination; Moisture meters; Sand; Soil moisture; Soil testing; Solute transport; Textures; Uncertainty analysis; Water conservation; Land surface hydrology; Quantitative information; Saturated hydraulic conductivity; Soil moisture measurement; Soil water balance components; Sustainable water resources; Water balance components; Water balance equation; Soil surveys; agricultural labor; agricultural land; evapotranspiration; growing season; hydraulic conductivity; oasis; Richards equation; river bank; river basin; soil moisture; soil water; Hei River
来源期刊	Hydrology and Earth System Sciences
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159565
作者单位	Li, Z., Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou, 730000, China, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China, University of Chinese Academy of Sciences, Beijing, 100039, China; Liu, H., Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou, 730000, China, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; Zhao, W., Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou, 730000, China, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; Yang, Q., Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou, 730000, China, Key Laboratory of Eco...
推荐引用方式 GB/T 7714	Li Z.,Liu H.,Zhao W.,et al. Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis[J]. 中国科学院西北生态环境资源研究院,2019,23(11).
APA	Li Z.,Liu H.,Zhao W.,Yang Q.,Yang R.,&Liu J..(2019).Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis.Hydrology and Earth System Sciences,23(11).
MLA	Li Z.,et al."Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis".Hydrology and Earth System Sciences 23.11(2019).