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http://krishi.icar.gov.in/jspui/handle/123456789/31270
Title: | Principal component analysis for morphometric modelling for small watersheds of Tapi basin in India |
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 |
Published/ Complete Date: | 2014-04 |
Project Code: | Not Available |
Keywords: | Principal component analysis, Geomorphological parameters, Morphometric model, Small watersheds |
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). Principal component analysis for morphometric modelling for small watersheds of Tapi basin in India. International Journal of agricultural Engineering 7(1): 186-189 |
Series/Report no.: | Not Available; |
Abstract/Description: | Geomorphological models have been developed for prediction of sediment production rate and runoff from the small watersheds of Tapi basin, Maharashtra, India. In this study, total of twelve morphological parameters were selected and used after under gone principal component analysis. Principal component analysis was carried out for grouping the different parameters into the principal components. To understand the behaviour of all the parameters pertaining to study areas, and to reduce the dimensionality of database, the data pertaining to twelve parameters of ten small watersheds were submitted for principal component analysis. The method of components analysis, then, involves the rotation in the total variable space - an orthogonal or uncorrelated transformation wherein each of the n original variables is describable, in terms of the n new principal components. An important feature of the new components is that they account, in turn, for a maximum amount of variance of the variables. Analysis extracted three components as a principal components with 10 parameters, accounting for a total variance of 97.256 %. The first component was highly correlated with Re , Rc , Sb and Lbw accounting for 68.52 % variance. Second component is strongly correlated with RN accounting for 18.60 % variance and third with Sc , accounting for 10.13 % variance. Finally, these extracted 10 parameters were used for modeling for prediction of sediment yield and runoff from selected small watersheds of Tapi basin, Maharashtra, India |
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: | 186–189 |
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/123456789/31270 |
Appears in Collections: | NRM-IIWM-Publication |
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