Statistical Analysis of Rainfall Data using non-parametric methods of Solapur District, Maharashtra, India

Autor: Chavan Chetan S., Chipade Amar, Ghadvir Gopika, Deshpande Medha
Jazyk: English<br />French
Rok vydání: 2023
Předmět:
Zdroj: E3S Web of Conferences, Vol 405, p 04046 (2023)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202340504046
Popis: India being a Tropical country, experiences variety Rainfall. The Rainfall is the prime input required for Design of Hydraulic structures like culverts and bridges, Irrigation canals, storm water and road drainage system, etc. To estimate the detailed design and planning of crops, statistical analysis is required. In the present study, annual rainfall data for a period of 20 years (2000 to 2019) is used to understand the statistical behavior of the rainfall in last two decades for Solapur district. Also return period by various plotting position formulae is evaluated from the annual rainfall. The rainfall variability is checked by calculating the mean, standard deviation and coefficient of variation. From the study results, the rainfall pattern is found to be irregular. The best fitted probability distribution was identified based on the minimum deviation between actual and estimated values.
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