气候变化领域集成服务门户(CCPortal): A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater

CCPortal

DOI	10.5194/hess-24-4213-2020
	A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater
	Liu Z.; Huo Z.; Wang C.; Zhang L.; Wang X.; Huang G.; Xu X.; Siert Steenhuis T.
发表日期	2020
ISSN	1027-5606
起始页码	4213
结束页码	4237
卷号	24 期号:8
英文摘要	Optimum management of irrigated crops in regions with shallow saline groundwater requires a careful balance between application of irrigation water and upward movement of salinity from the groundwater. Few field-validated surrogate models are available to aid in the management of irrigation water under shallow groundwater conditions. The objective of this research is to develop a model that can aid in the management using a minimum of input data that are field validated. In this paper a 2-year field experiment was carried out in the Hetao irrigation district in Inner Mongolia, China, and a physically based integrated surrogate model for arid irrigated areas with shallow groundwater was developed and validated with the collected field data. The integrated model that links crop growth with available water and salinity in the vadose zone is called Evaluation of the Performance of Irrigated Crops and Soils (EPICS). EPICS recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and thus not by a limiting hydraulic conductivity. In the field experiment, soil moisture contents and soil salt conductivity at five depths in the top 100 cm, groundwater depth, crop height, and leaf area index were measured in 2017 and 2018. The field results were used for calibration and validation of EPICS. Simulated and observed data fitted generally well during both calibration and validation. The EPICS model that can predict crop growth, soil water, groundwater depth, and soil salinity can aid in optimizing water management in irrigation districts with shallow aquifers. © 2020 EDP Sciences. All rights reserved.
语种	英语
scopus关键词	Aquifers; Calibration; Crops; Hydrogeology; Irrigation; Saline water; Soil moisture; Water management; Calibration and validations; Ground water depths; Ground water table; Hetao irrigation districts; Integrated modeling; Irrigation districts; Saline groundwater; Shallow groundwater; Groundwater resources; aquifer; calibration; experiment; field capacity; irrigation system; leaf area index; model validation; numerical model; saline soil; simulation; vadose zone; China; Nei Monggol
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159320
作者单位	Liu, Z., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Huo, Z., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Wang, C., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Zhang, L., School of Water Resources and Environment, China University of Geosciences, Beijing, 100083, China; Wang, X., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Huang, G., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Xu, X., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Siert Steenhuis, T., Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, United States
推荐引用方式 GB/T 7714	Liu Z.,Huo Z.,Wang C.,et al. A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater[J],2020,24(8).
APA	Liu Z..,Huo Z..,Wang C..,Zhang L..,Wang X..,...&Siert Steenhuis T..(2020).A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater.Hydrology and Earth System Sciences,24(8).
MLA	Liu Z.,et al."A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater".Hydrology and Earth System Sciences 24.8(2020).