Rainfall is one of the most important natural input resources to crop production and its occurrence and distribution is erratic, temporal and spatial variations in nature. Most of the hydrological events occurring as natural phenomena are observed only once. One of the important problem in hydrology deals with the interpreting past records of hydrological event in terms of future probabilities of occurrence. Rainfall analysis is a prerequisite for proper designing of any soil and water conservation structure. Daily rainfall data will be collected from Department of Agronomy, College of Agriculture, Kolhapur for the year 2012-13. For this study Normal, Log-normal and Gumbel distributions of probability are used. From the analysis it was concluded that, Log-pearson type III distribution was found to be good for probability distribution of rainfall in the Kolhapur region.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.