KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/31270
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S.P. Nikam, R.C. Purohit, M.G. Shinde, P.K. Singh, H.K. Jain & Pravin Dahiphle | en_US |
dc.date.accessioned | 2020-01-31T05:49:34Z | - |
dc.date.available | 2020-01-31T05:49:34Z | - |
dc.date.issued | 2014-04 | - |
dc.identifier.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 | en_US |
dc.identifier.issn | ONLINE ISSN : 0976-7223 ISSN : 0974-2662 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/31270 | - |
dc.description | Not Available | en_US |
dc.description.abstract | 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 | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | HIND AGRICULTURAL RESEARCH AND TRAINING INSTITUTE | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Principal component analysis, Geomorphological parameters, Morphometric model, Small watersheds | en_US |
dc.title | Principal component analysis for morphometric modelling for small watersheds of Tapi basin in India | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Agricultural Engineering | en_US |
dc.publication.volumeno | Volume 7, Issue 1 | en_US |
dc.publication.pagenumber | 186–189 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | http://www.researchjournal.co.in/ | en_US |
dc.publication.authorAffiliation | Department of Soil Water and Conservation Engineering, College of Agriculture (MPKV), DHULE (M.S.) INDIA | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | Not Available | en_US |
Appears in Collections: | NRM-IIWM-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.