Analysis of statistical parameters for rainfall series of Kaneri watershed maharashtra computation of runoff for different return periods

Abstract

Robust hydrological information is a pre-requisite for efficient water resources assessment of a region. A hydrologist must be able to evaluate water availability, flood potential, data trends and such characteristics, so as to ensure that the results constitute the solid foundation for a decision support system for sustainable development and management of scarce water resources. In this context, the paper analyses the statistical parameters by using different distributions to compute the runoff peaks for different return periods. In water resources planning and management the statistical parameters describe the statistical distribution characteristics of a sample. By fitting a frequency distribution to the set of hydrological data, the probability of occurrences of random parameters can be calculated. In the present study, the runoff values for 50 year and 100 year return period are determined by using the annual rainfall series for the Kaneri watershed, which is near Kolhapur, Maharashtra. The results obtained by different methods are compared with Extreme Value type III distribution model.