This book was carried out with a view to determine applicable Runoff estimation by using software in SCS Curve Number Method. Which could be usefull in designing and development of software. As such this book should prove interest both to undergraduates studying as well as postgraduates in soil and water conservation engineering. Thus, the selection of CN from the table based on field condition requires very accuracy. To overcome, all this difficulty and to accurately estimate the surface runoff a web base tool was developed by using the open source software PHP and JQuery. This web base tool is based on one of the most popular methods of estimation of runoff namely, SCS Curve Number method, one can easily estimate the runoff of the area under consideration. All the basic input parameters involved in the runoff estimation namely AMC, Initial Loss, Rainfall depth, Number of watershed, Hydrologic Soil Group, Land Use/Cover Type, etc. are accommodated in single screen itself. By submitting the input parameters, the CN value appears in {} (Curly Braces), which finally gives the output in the form of runoff in centimeters.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book was carried out with a view to determine applicable Runoff estimation by using software in SCS Curve Number Method. Which could be usefull in designing and development of software. As such this book should prove interest both to undergraduates studying as well as postgraduates in soil and water conservation engineering. Thus, the selection of CN from the table based on field condition requires very accuracy. To overcome, all this difficulty and to accurately estimate the surface runoff a web base tool was developed by using the open source software PHP and JQuery. This web base tool is based on one of the most popular methods of estimation of runoff namely, SCS Curve Number method, one can easily estimate the runoff of the area under consideration. All the basic input parameters involved in the runoff estimation namely AMC, Initial Loss, Rainfall depth, Number of watershed, Hydrologic Soil Group, Land Use/Cover Type, etc. are accommodated in single screen itself. By submitting the input parameters, the CN value appears in {} (Curly Braces), which finally gives the output in the form of runoff in centimeters. 80 pp. Englisch. Seller Inventory # 9786200655677
Quantity: 2 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26404372238
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404372228
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Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kher Rohitkumar MeragsinhEr. Rohitkumar Kher completed Diploma Polytechnic in Agro Processing, B. Tech(Agril. Engg.) in Junagadh Agricultural University, M.Tech(P.F.E.) Navsari Agricultural University. The author published 3 research. Seller Inventory # 385896901
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book was carried out with a view to determine applicable Runoff estimation by using software in SCS Curve Number Method. Which could be usefull in designing and development of software. As such this book should prove interest both to undergraduates studying as well as postgraduates in soil and water conservation engineering. Thus, the selection of CN from the table based on field condition requires very accuracy. To overcome, all this difficulty and to accurately estimate the surface runoff a web base tool was developed by using the open source software PHP and JQuery. This web base tool is based on one of the most popular methods of estimation of runoff namely, SCS Curve Number method, one can easily estimate the runoff of the area under consideration. All the basic input parameters involved in the runoff estimation namely AMC, Initial Loss, Rainfall depth, Number of watershed, Hydrologic Soil Group, Land Use/Cover Type, etc. are accommodated in single screen itself. By submitting the input parameters, the CN value appears in {} (Curly Braces), which finally gives the output in the form of runoff in centimeters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786200655677
Quantity: 1 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book was carried out with a view to determine applicable Runoff estimation by using software in SCS Curve Number Method. Which could be usefull in designing and development of software. As such this book should prove interest both to undergraduates studying as well as postgraduates in soil and water conservation engineering. Thus, the selection of CN from the table based on field condition requires very accuracy. To overcome, all this difficulty and to accurately estimate the surface runoff a web base tool was developed by using the open source software PHP and JQuery. This web base tool is based on one of the most popular methods of estimation of runoff namely, SCS Curve Number method, one can easily estimate the runoff of the area under consideration. All the basic input parameters involved in the runoff estimation namely AMC, Initial Loss, Rainfall depth, Number of watershed, Hydrologic Soil Group, Land Use/Cover Type, etc. are accommodated in single screen itself. By submitting the input parameters, the CN value appears in {} (Curly Braces), which finally gives the output in the form of runoff in centimeters. Seller Inventory # 9786200655677
Quantity: 1 available
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Software Development for Runoff Estimation Using SCS CN Method | Software Development for Runoff Estimation Using SCS CN Method | Rohitkumar Meragsinh Kher (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200655677 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 118131588
Quantity: 5 available