Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Sensitivity Analysis of Runoff Model by SWAT | Kaveh Ostad-Ali-Askari (u. a.) | Taschenbuch | 152 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200549624 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Determination of river runoff is essential in design and construction of most hydraulic structures including dams. In rivers with no measurement stations, the hydraulic models can be used for data estimation. SWAT is one of the most widely- used numerical models. In this model, input influential meteorological data as precipitation, temperature, wind speed, solar radiation and relative humidity as well as watershed data including the curve number and roughness coefficient are required to calculate the watershed runoff. The lack of weather stations in some watersheds increase the risk that the registered data in a station do not represent the whole watershed. Consequently, runoff estimation error should be determined. This research evaluates the sensitivity of the river runoff estimation to variations of the meteorological parameters such as precipitation, solar radiation, wind, humidity and temperature using SWAT numerical model. 152 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ostad-Ali-Askari KavehDr. Kaveh Ostad-Ali-Askari is Postdoctoral fellowship student, Water Engineering Department, College of Agriculture,Isfahan University of Technology (IUT), Isfahan, Iran. He has contributed to more than 400 publ.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Determination of river runoff is essential in design and construction of most hydraulic structures including dams. In rivers with no measurement stations, the hydraulic models can be used for data estimation. SWAT is one of the most widely- used numerical models. In this model, input influential meteorological data as precipitation, temperature, wind speed, solar radiation and relative humidity as well as watershed data including the curve number and roughness coefficient are required to calculate the watershed runoff. The lack of weather stations in some watersheds increase the risk that the registered data in a station do not represent the whole watershed. Consequently, runoff estimation error should be determined. This research evaluates the sensitivity of the river runoff estimation to variations of the meteorological parameters such as precipitation, solar radiation, wind, humidity and temperature using SWAT numerical model.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10: 6200549621 ISBN 13: 9786200549624
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 61,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Determination of river runoff is essential in design and construction of most hydraulic structures including dams. In rivers with no measurement stations, the hydraulic models can be used for data estimation. SWAT is one of the most widely- used numerical models. In this model, input influential meteorological data as precipitation, temperature, wind speed, solar radiation and relative humidity as well as watershed data including the curve number and roughness coefficient are required to calculate the watershed runoff. The lack of weather stations in some watersheds increase the risk that the registered data in a station do not represent the whole watershed. Consequently, runoff estimation error should be determined. This research evaluates the sensitivity of the river runoff estimation to variations of the meteorological parameters such as precipitation, solar radiation, wind, humidity and temperature using SWAT numerical model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.