干旱区生态环境知识资源中心(Arid): A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater

Arid

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, Zhongyi; Huo, Zailin; Wang, Chaozi; Zhang, Limin; Wang, Xianghao; Huang, Guanhua; Xu, Xu; Steenhuis, Tammo Siert
通讯作者	Huo, ZL
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2020
卷号	24 期号:8 页码:4213-4237
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.
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000566728100001
WOS关键词	HETAO IRRIGATION DISTRICT ; SIMULATE YIELD RESPONSE ; SOIL-WATER-BALANCE ; GLOBAL SENSITIVITY-ANALYSIS ; DEFICIT IRRIGATION ; EVAPOTRANSPIRATION ; PRODUCTIVITY ; SALINIZATION ; COEFFICIENT ; RECHARGE
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
来源机构	中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326090
作者单位	[Liu, Zhongyi; Huo, Zailin; Wang, Chaozi; Wang, Xianghao; Huang, Guanhua; Xu, Xu] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; [Zhang, Limin] China Univ Geosci, Sch Water Resources & Environm, Beijing 100083, Peoples R China; [Steenhuis, Tammo Siert] Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14850 USA
推荐引用方式 GB/T 7714	Liu, Zhongyi,Huo, Zailin,Wang, Chaozi,et al. A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater[J]. 中国农业大学,2020,24(8):4213-4237.
APA	Liu, Zhongyi.,Huo, Zailin.,Wang, Chaozi.,Zhang, Limin.,Wang, Xianghao.,...&Steenhuis, Tammo Siert.(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),4213-4237.
MLA	Liu, Zhongyi,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):4213-4237.