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DOI	10.1016/j.agwat.2019.105854
	Restricted water allocations: Landscape-scale energy balance simulations and adjustments in agricultural water applications
	Dhungel, Ramesh 1; Aiken, Robert 2; Lin, Xiaomao 1; Kenyon, Shannon 3; Colaizzi, Paul D.4; Luhman, Ray 3; Baumhardt, R. Louis 4; O'; Brien, Dan 2; Kutikoff, Seth 1; Brauer, David K.4
通讯作者	Dhungel, Ramesh
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2020
卷号	227
英文摘要	Research that incorporates information from satellites into conventional biophysical models has great importance and interest. Comprehensive crop water algorithms can help track crop stress, schedule irrigation, and acquire water right information for effective water management and increased productivity in semi-arid and arid environments. Overall objective was to utilize the automated biophysical surface energy balance model BAITSSS (Backward-Averaged Iterative Two-Source Surface temperature and energy balance Solution) to understand critical agricultural water management issues. BAITSSS served as an advanced digital landscape crop water tracker and irrigation scheduler to simulate hourly landscape evapotranspiration (ET) at 30 m spatial resolution. North American Land Data Assimilation System (NLDAS) weather data and Landsat-based vegetation indices were inputs of BAITSSS to simulate surface energy balance components along with irrigation (I-rr). Two agricultural-dominated groundwater regions of northwest Kansas, USA within a section of the Ogallala aquifer were studied during a five-year period (2013-2017). We compared model-simulated irrigation to reported within water right management units (WRMU). The sum of reported irrigation and precipitation (P), representing inseason water supply, was also compared to model simulated ET as an indicator of well-watered ET. The model was able to simulate reasonably ET values, and irrigation quantities, and to differentiate various spatial distribution patterns of crops within WRMU. However, unknown water management, within WRMU, constrained explicit inference of actual ET and irrigation amounts. The model appears suitable for quantifying the upper bound of in-season water supply (irrigation plus P) expected for well-watered crops in the U.S. Central High Plains. A WRMU exhibiting significantly different in-season water supply than the simulated ET may present opportunities to modify irrigation rates or to gain inference about deficit irrigation.
英文关键词	BAITSSS water rights irrigation scheduling remote sensing NLDAS advanced geospatial modeling next generation evapotranspiration Ogallala Aquifer crop water use GMD4 Sheridan 6 LEMA
类型	Article
语种	英语
国家	USA
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000525275500016
WOS关键词	IRRIGATED AGRICULTURE ; DEFICIT IRRIGATION ; EVAPOTRANSPIRATION ; SATELLITE ; LANDSAT ; AQUIFER ; YIELD ; MODEL ; MANAGEMENT ; FIELDS
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/313932
作者单位	1.Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA; 2.Kansas State Univ, Northwest Res Extens Ctr, Colby, KS 67701 USA; 3.Northwest Kansas Groundwater Management Dist 4, Colby, KS USA; 4.USDA ARS, Conservat & Prod Res Lab, PO Drawer 10, Bushland, TX 79012 USA
推荐引用方式 GB/T 7714	Dhungel, Ramesh,Aiken, Robert,Lin, Xiaomao,et al. Restricted water allocations: Landscape-scale energy balance simulations and adjustments in agricultural water applications[J],2020,227.
APA	Dhungel, Ramesh.,Aiken, Robert.,Lin, Xiaomao.,Kenyon, Shannon.,Colaizzi, Paul D..,...&Brauer, David K..(2020).Restricted water allocations: Landscape-scale energy balance simulations and adjustments in agricultural water applications.AGRICULTURAL WATER MANAGEMENT,227.
MLA	Dhungel, Ramesh,et al."Restricted water allocations: Landscape-scale energy balance simulations and adjustments in agricultural water applications".AGRICULTURAL WATER MANAGEMENT 227(2020).