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Evaporation Estimation of Rift Valley Lakes: Comparison of Models
Department of Earth and Environment, Florida International University, 11200 SW 8th Street, Miami, FL 33199, USA
South Florida Water Management District, 3301 Gun Club Road, West Palm Beach, FL 33406, USA
BEM Systems Inc., 500 Australian Avenue South, Suite 616, West Palm Beach, FL 33401, USA
* Author to whom correspondence should be addressed.
Received: 28 September 2009; in revised form: 9 November 2009 / Accepted: 20 November 2009 / Published: 1 December 2009
Abstract: Evapotranspiration (ET) accounts for a substantial amount of the water flux in the arid and semi-arid regions of the World. Accurate estimation of ET has been a challenge for hydrologists, mainly because of the spatiotemporal variability of the environmental and physical parameters governing the latent heat flux. In addition, most available ET models depend on intensive meteorological information for ET estimation. Such data are not available at the desired spatial and temporal scales in less developed and remote parts of the world. This limitation has necessitated the development of simple models that are less data intensive and provide ET estimates with acceptable level of accuracy. Remote sensing approach can also be applied to large areas where meteorological data are not available and field scale data collection is costly, time consuming and difficult. In areas like the Rift Valley regions of Ethiopia, the applicability of the Simple Method (Abtew Method) of lake evaporation estimation and surface energy balance approach using remote sensing was studied. The Simple Method and a remote sensing-based lake evaporation estimates were compared to the Penman, Energy balance, Pan, Radiation and Complementary Relationship Lake Evaporation (CRLE) methods applied in the region. Results indicate a good correspondence of the models outputs to that of the above methods. Comparison of the 1986 and 2000 monthly lake ET from the Landsat images to the Simple and Penman Methods show that the remote sensing and surface energy balance approach is promising for large scale applications to understand the spatial variation of the latent heat flux.
Keywords: evaporation; evapotranspiration; simple method; remote sensing; surface energy balance; Rift Valley Lakes
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Cite This Article
MDPI and ACS Style
Melesse, A.M.; Abtew, W.; Dessalegne, T. Evaporation Estimation of Rift Valley Lakes: Comparison of Models. Sensors 2009, 9, 9603-9615.
Melesse AM, Abtew W, Dessalegne T. Evaporation Estimation of Rift Valley Lakes: Comparison of Models. Sensors. 2009; 9(12):9603-9615.
Melesse, Assefa M.; Abtew, Wossenu; Dessalegne, Tibebe. 2009. "Evaporation Estimation of Rift Valley Lakes: Comparison of Models." Sensors 9, no. 12: 9603-9615.