Advances in Applied Science Research Open Access

  • ISSN: 0976-8610
  • Journal h-index: 57
  • Journal CiteScore: 93.86
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Reach us +32 25889658

Abstract

Prediction of Rain-fall flow Time Series using Auto-Regressive Models

SK Khadar Babu, K. Karthikeyan, M. V. Ramanaiah and D. Ramanah.

Rain-fall flow data of a meteorological station like Vellore in Tamil Nadu have been used for mean monthly flow of rain-fall data using auto regressive approach. These approaches can be used for regenerating the future sequence preserving the inherited properties of the observed data. The main statistical properties used for these purpose are mean, standard deviation and the serial correlation coefficients. The comparison of the observed rain-fall flow and the synthetically generated data shows that the statistical characteristics are satisfactorily preserved.