Probability Analysis Of Annual Maximum Daily Rainfall For Amravati


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Authors

  • S. Mohanty
  • R.A. marathe
  • Shyam Singh

Abstract

Annual daily rainfall data for 30 years (1966 to 1995) of Amravati has been collected and frequency analysis of maximum daily rainfall has been attempted. The annual MaXi11111111 daily rainfall data has been fitted to four different probability distribution functions i.e. Normal, Log-Normal, Extreme value Type- 1 and Log Person Type III distributions and probable rainfall values for different return periods has been estimated. These estimated values have been compared with the values obtained by Weibull's method. The analysis indicates that, the Log Pearson Type III distribution gives the closest fit to the observed data, hence it be used to predict maximum rainfall will be a great importance for economic planning and design of small and medium hydraulic structures.

Submitted

2022-11-10

Published

2022-11-10

Issue

Section

Articles

How to Cite

Mohanty, S., marathe, R., & Singh, S. (2022). Probability Analysis Of Annual Maximum Daily Rainfall For Amravati. Journal of Soil and Water Conservation, 43(1 & 2). https://epubs.icar.org.in/index.php/JSWC/article/view/130066