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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/31269
Title: Annual geomorphic response model for prediction of runoff from ungauged watershed.
Other Titles: Not Available
Authors: S.P. Nikam, R.C. Purohit, M.G. Shinde, P.K. Singh, H.K. Jain & Pravin Dahiphle
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: Department of Soil Water and Conservation Engineering, College of Agriculture (MPKV), DHULE (M.S.) INDIA
Department of Soil Water and Conservation Engineering, College of Technology and Agricultural Engineering (MPUAT), UDAIPUR (RAJASTHAN) INDIA
Department of Soil Water and Conservation Engineering, Dr. A.S. College of Agriculture, Rahuri, AHMEDNAGAR (M.S.) INDIA
Published/ Complete Date: 2014-03-27
Project Code: Not Available
Keywords: Unguaged watersheds, Geomorphological parameters, Geomorphic response Runoff model, PCA
Publisher: HIND AGRICULTURAL RESEARCH AND TRAINING INSTITUTE
Citation: S.P. Nikam, R.C. Purohit, M.G. Shinde, P.K. Singh, H.K. Jain & Pravin Dahiphle.(2014). Annual geomorphic response model for prediction of runoff from ungauged watershed. International Journal of Agricultural Engineering 7(1): 233-237
Series/Report no.: Not Available;
Abstract/Description: All the watersheds cannot be gauged, as it would be costly and time consuming. Therefore, the indirect method of runoff quantification has to be resorted. For predicting runoff from the known causative factors, it is important to include topographic or geomorphic characteristics which reflect directly or indirectly on climate, geology and transportation processes from the watershed. In the present study ten watersheds from Tapi catchment of Maharashtra state, India were selected for development of geomorphic response models for prediction of annual runoff. Twelve geomorphic parameters were selected for development of model out of which two parameters, Sa and Rb were screened out in the PCA and remaining ten parameters were grouped into three physically significant components. Developed annual model when validated, it was observed that percentage deviation was within 10 per cent. Therefore developed annual runoff can be conveniently used for prediction of annual runoff from unguaged watersheds of the basin having similar physiographic conditions for design of different water harvesting structures
Description: Not Available
ISSN: ONLINE ISSN : 0976-7223 ISSN : 0974-2662
Type(s) of content: Article
Sponsors: Not Available
Language: English
Name of Journal: International Journal of Agricultural Engineering
NAAS Rating: Not Available
Volume No.: Volume 7 Issue 1
Page Number: 233–237
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: http://www.researchjournal.co.in/
URI: http://krishi.icar.gov.in/jspui/handle/123456789/31269
Appears in Collections:NRM-IIWM-Publication

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