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DOI	10.1016/j.jhydrol.2018.11.037
	A predictive model for Lake Chad total surface water area using remotely sensed and modeled hydrological and meteorological parameters and multivariate regression analysis
	Policelli, Frederick 1,4; Hubbard, Alfred 2,3; Jung, Hahn Chul 1,3; Zaitchik, Ben 4; Ichoku, Charles 5
通讯作者	Policelli, Frederick
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2019
卷号	568 页码:1071-1080
英文摘要	Lake Chad is an endorheic lake in the Sahel region of Africa at the southern edge of the Sahara Desert. The lake, which is well known for its dramatic decrease in surface area during the 1970s and 1980s, experiences an annual flood resulting in a maximum total surface water area generally during February or March, though sometimes earlier or later. People along the shores of Lake Chad make their living fishing, farming, and raising livestock and have a vested interest in knowing when and how extensive the annual flooding will be, particularly those practicing recession farming in which the fertile ground of previously flooded area is used for planting crops. In this study, the authors investigate the relationship between lake and basin parameters, including rainfall, basin evapotranspiration, lake evapotranspiration, lake elevation, total surface water area, and the previous year's total surface water area, and develop equations for each dry season month (except November) linking total surface water area to the other parameters. The resulting equations allow the user to estimate the December average monthly total surface water area of the lake in late November, and to make the estimates for January to May in early December. Based on the results of a Leave One Out Cross Validation analysis, the equations for lake area are estimated to have an average absolute error ranging from 5.3 percent (for February estimates) to 7.6 percent (for May estimates).
英文关键词	Surface water area Lake Chad Precipitation Evapotranspiration Lake height
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:000455694400085
WOS关键词	VARIABILITY ; PATTERNS
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217122
作者单位	1.NASA, Goddard Space Flight Ctr, Hydrol Sci Lab, 8800 Greenbelt Rd,Code 617, Greenbelt, MD 20771 USA; 2.NASA, Goddard Space Flight Ctr, Hydrol Sci Lab, 8800 Greenbelt Rd,Code 618, Greenbelt, MD 20771 USA; 3.Sci Syst & Applicat Inc, 10210 Greenbelt Rd, Lanham, MD 20706 USA; 4.Johns Hopkins Univ, Dept Earth & Planetary Sci, 3400 N Charles St, Baltimore, MD 21218 USA; 5.Howard Univ, Dept Interdisciplinary Studies, 1840 7th St NW, Washington, DC 20001 USA
推荐引用方式 GB/T 7714	Policelli, Frederick,Hubbard, Alfred,Jung, Hahn Chul,et al. A predictive model for Lake Chad total surface water area using remotely sensed and modeled hydrological and meteorological parameters and multivariate regression analysis[J],2019,568:1071-1080.
APA	Policelli, Frederick,Hubbard, Alfred,Jung, Hahn Chul,Zaitchik, Ben,&Ichoku, Charles.(2019).A predictive model for Lake Chad total surface water area using remotely sensed and modeled hydrological and meteorological parameters and multivariate regression analysis.JOURNAL OF HYDROLOGY,568,1071-1080.
MLA	Policelli, Frederick,et al."A predictive model for Lake Chad total surface water area using remotely sensed and modeled hydrological and meteorological parameters and multivariate regression analysis".JOURNAL OF HYDROLOGY 568(2019):1071-1080.