Multiple Linear Regression Model for Stream Flow Estimation of Wainganga River
Sharad Patel,
M. K. Hardaha,
Mukesh K. Seetpal,
K. K. Madankar
Issue:
Volume 2, Issue 1, January 2016
Pages:
1-5
Received:
6 December 2015
Accepted:
4 January 2016
Published:
1 March 2016
DOI:
10.11648/j.ajwse.20160201.11
Downloads:
Views:
Abstract: This paper is based on the study of multiple linear regression based technique in determining the rainfall-runoff relations. Without considering the temperature, topography or other parameters of the study area, simply using the data of rainfall and runoff to predict the future runoff is the key characteristic of this technique. Ignoring the parameters of temperature, topography may lead to inaccuracy in forecasting future runoff, but the use of Multiple linear regression based technique provide a simple and fast way to determine the runoff. In the present investigation, 14 years data on rainfall and runoff at the Balaghat district of Madhya Pradesh have been analyzed to develop regression models for stream flow estimation with rainfall as input and different regression model tested with varying input length of data record.
Abstract: This paper is based on the study of multiple linear regression based technique in determining the rainfall-runoff relations. Without considering the temperature, topography or other parameters of the study area, simply using the data of rainfall and runoff to predict the future runoff is the key characteristic of this technique. Ignoring the parame...
Show More
