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Probabilistic Estimation of Design Daily Runoff from Bamhani Watershed, India

2018; Springer Nature (Netherlands); Linguagem: Inglês

10.1007/978-981-10-5801-1_4

1872-4663

Sarita Gajbhiye Meshram, Vijay P. Singh,

Groundwater and Watershed Analysis

Exact estimation of runoff is very important task in physiographic unit and watershed management (Gajbhiye et al. Int J u- e-Serv Sci Technol 7(6):47–60 2014; Gajbhiye. Int J u- e-Serv Sci Technol 8(2):11–24 2015a, Int J u- e-Serv Sci Technol 8(4):118–122 b). For the design of surface runoff storage system, probabilistic estimation of 1-day maximum runoff is essential for safe and cost effective planning. In this study, 1-day and consecutive 2 and 3 day maximum runoff from Bamhani Watershed, Madhya Pradesh (India) were computed. Daily runoff was estimated using SCS-CN model for a 200 year return period. Moreover, 1, 2, and 3-day maximum runoff was fitted with 3 probability distributions (i.e. log normal, log Pearson type III and Gumbel). The goodness of fit test (chi square) revealed that the log-Pearson type III distribution is the best fit distribution for the 1, 2 and 3 day maximum runoff from Bamhani watershed.