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Assessment of SEBAL model for estimating evapotranspiration in the Devils Lake basin

Authors: null Ramesh Gautam; null Dean Steele; null David Hopkins; null Mike Sharp;

Assessment of SEBAL model for estimating evapotranspiration in the Devils Lake basin

Abstract

Above-average rainfall in the last twelve years has led to rising water levels in the Devils Lake basin in northeastern North Dakota. An irrigation test project has been started at ten farmercooperator field sites within the basin to estimate how much additional water can be utilized via irrigation of agricultural crops. Comprehensive soil/water compatibility investigations coupled with GIS analysis of detailed soil survey data (SSURGO) will be utilized to assess the potential for sustainable irrigation development and potentially extend the results to the entire basin. The installation and monitoring phase of the test project will be described in this paper. Water balance monitoring at the sites will include measurements of rainfall and irrigation, soil water content, deep percolation, and ground water level. The surface energy balance algorithm for land (SEBAL) model will be developed in Erdas Imagine/Arc Map interface for estimating evapotranspiration (ET) in the basin. Correlations will be developed between ET and soil physical and chemical properties affecting sustainability as well as other factors, such as crop types, soil map units, and landscape position in order to assess the feasibility, impact, and sustainability of the larger scale irrigation in this mostly non-irrigated basin.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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