干旱区生态环境知识资源中心(Arid): ESTIMATING IN-SEASON ACTUAL EVAPOTRANSPIRATION OVER A LARGE-SCALE IRRIGATION SCHEME IN RESOURCE-LIMITED CONDITIONS

Arid

DOI	10.7546/CRABS.2020.10.18
	ESTIMATING IN-SEASON ACTUAL EVAPOTRANSPIRATION OVER A LARGE-SCALE IRRIGATION SCHEME IN RESOURCE-LIMITED CONDITIONS
	Sawadogo, Alidou; Gundogdu, Kemal Sulhi; Traore, Farid; Kouadio, Louis; Hessels, Tim
通讯作者	Gundogdu, KS
来源期刊	COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES
ISSN	1310-1331
出版年	2020
卷号	73 期号:10 页码:1473-1480
英文摘要	Reliable and readily available data on actual evapotranspiration (ETa) over large-scale areas throughout the crop growing season are critical for improved agricultural irrigation and water resource management. On-site data collection is costly, labour-intensive, and very challenging in resource-limited conditions. Thus, open-source satellite-based approaches might be adopted as cost-effective alternatives. In this study, the performance of a cost-effective and open source satellite-based approach for estimating ETa over a large-scale (1200 ha) irrigation system, the Kou Valley Irrigation Scheme (KVIS), in Burkina Faso was assessed. ETa values over the critical irrigation period during the 2014 dry season (January-April) were estimated using the Python module for Surface Energy Balance Algorithm for Land model (PySEBAL). Then, they were compared against the Water Productivity Open-access (FAO-WaPOR), and United States Geological Survey-Famine Early Warning Systems Network Operational Simplified Surface Energy Balance (USGS-FEWS NET's SSEBop) ETa over the same period at different temporal scales. Overall, ETa values were satisfactorily estimated throughout the crop growth season across the Kou Valley irrigation scheme using PySEBAL. They spatially varied depending on the soil type and crop, with daily values ranging from 4.09 mm day(-1) to 7.7 mm day(-1), for a seasonal average of 619 mm. The finer spatial resolution (30 m) of PySEBAL outputs allowed better estimations compared to the FAO-WaPOR and SSEBop-based approaches. Our findings help ascertain the use of the PySEBAL model in semi-arid environment in Burkina Faso, and could serve as a basis for developing strategies for improved irrigation water management in countries experiencing similar conditions such as Burkina Faso.
英文关键词	water management remote sensing Landsat semi-arid environment Sub-Sahara
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000590888300018
WOS关键词	WATER ; EVAPORATION ; BALANCE
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327569
作者单位	[Sawadogo, Alidou; Gundogdu, Kemal Sulhi] Uludag Univ, Biosyst Engn Dept, Fac Agr, Bursa, Turkey; [Traore, Farid] Inst Environm & Rech Agr, Ouagadougou, Burkina Faso; [Kouadio, Louis] Univ Southern Queensland, Inst Life Sci & Environm, Ctr Appl Climate Sci, Toowoomba, Qld, Australia; [Hessels, Tim] Delft Univ Technol, Dept Water Management, Delft, Netherlands
推荐引用方式 GB/T 7714	Sawadogo, Alidou,Gundogdu, Kemal Sulhi,Traore, Farid,et al. ESTIMATING IN-SEASON ACTUAL EVAPOTRANSPIRATION OVER A LARGE-SCALE IRRIGATION SCHEME IN RESOURCE-LIMITED CONDITIONS[J],2020,73(10):1473-1480.
APA	Sawadogo, Alidou,Gundogdu, Kemal Sulhi,Traore, Farid,Kouadio, Louis,&Hessels, Tim.(2020).ESTIMATING IN-SEASON ACTUAL EVAPOTRANSPIRATION OVER A LARGE-SCALE IRRIGATION SCHEME IN RESOURCE-LIMITED CONDITIONS.COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES,73(10),1473-1480.
MLA	Sawadogo, Alidou,et al."ESTIMATING IN-SEASON ACTUAL EVAPOTRANSPIRATION OVER A LARGE-SCALE IRRIGATION SCHEME IN RESOURCE-LIMITED CONDITIONS".COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES 73.10(2020):1473-1480.