![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_open_medium.gif)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_restricted_medium.gif)
Sedimentary Environments of the Modern Godavari Delta: Characterisation and Statistical Discrimination Towards Computer Assisted Environment Recognition Scheme
Subscribe/Renew Journal
Documentation of the textural and geochemical criteria of individual sub-environments of the modern Godavari delta shows that in view of prevalent shared nature of transportation, deposition and preservation processes, the textural and geochemical characteristics are not distinct enough to have these sub-environments separated by visual methods on the basis of measurements of constituent variables. Multivariate discriminant function analyses of these data show that the sub-environments of the modern deltaic system could be separated practically to the tune of 80.26% accuracy. The percentage of distinctness depends on the sensitivity of each parameter to different sub-environments and also the ability to separate between sample variations. These results have enabled the construction of a scheme for recognition of environments of unknown samples.
Keywords
Granulometry, Geochemistry, Sedimentary Environments, Statistical Discrimination.
Subscription
Login to verify subscription
User
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 217
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 2