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Titolo:
Evaporation model of Lake Qaroun as influenced by lake salinity
Autore:
Ali, H; Madramootoo, CA; Gwad, SA;
Indirizzi:
McGill Univ, Dept Agr & Biosyst Engn, St Anne De Bellevue, PQ H9X 3V9, Canada McGill Univ St Anne De Bellevue PQ Canada H9X 3V9 vue, PQ H9X 3V9, Canada Drainage Res Inst, El Kanater, Egypt Drainage Res Inst El Kanater EgyptDrainage Res Inst, El Kanater, Egypt
Titolo Testata:
IRRIGATION AND DRAINAGE
fascicolo: 1, volume: 50, anno: 2001,
pagine: 9 - 17
SICI:
1531-0353(200103)50:1<9:EMOLQA>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Keywords:
evaporation; solar radiation; evaporative energy; energy equation; saline lakes;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
14
Recensione:
Indirizzi per estratti:
Indirizzo: Madramootoo, CA McGill Univ, Dept Agr & Biosyst Engn, Macdonald Campus,21111 Lakeshore Rd,St Anne De Bellevue, PQ H9X 3V9, Canada McGill Univ Macdonald Campus,21111 Lakeshore Rd St Anne De Bellevue PQ Canada H9X 3V9
Citazione:
H. Ali et al., "Evaporation model of Lake Qaroun as influenced by lake salinity", IRRIG DRAIN, 50(1), 2001, pp. 9-17

Abstract

A model for estimating monthly and annual evaporation of Lake Qaroun was developed using the energy budget concept. The evaporation is estimated fromthe amount of solar radiation, atmospheric long-wave radiation, back radiation and evaporative energy. A modification is made to the energy equation to allow the calculation of evaporation from saline lakes by analyzing datafrom four evaporation pans with different salinities. The model simulations were checked against evaporation rates measured by Mankarous WF (1979. Hydrology of Lake Qaroun. MSc thesis, Faculty of Engineering, Cairo University, Cairo, Egypt). The monthly comparison shows that the model gives an acceptable accuracy with a relative error ranging from - 12.4 to + 12.9%. The model produces reliable results in terms of annual prediction with a maximum percent error of 3% and the minimum of - 2.7%. The standard deviation of differences indicates that there is a good probability of obtaining simulated values within 0.8 mm (in May) to within 22.2 mm (in December) of measured values. Copyright (C) 2001 John Wiley & Sons, Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/06/20 alle ore 01:06:13