PJB-2019-907
ASSESSMENT OF RAINFALL-RUNOFF RELATIONSHIP OF NARAI DRAIN BY USING LOG PEARSON TYPE III DISTRIBUTION AND WIN TR-20 MODEL
Awais Salman
Abstract
Rainfall being the basic source of surface and ground water, which constitute mainly water resources of a country. Flood hazards are significant threat to the human life as well as their property damage impacts. Recent example of such destruction was 2010 flood in Peshawar, Pakistan. Therefore, river modelling on rivers disposed to floods is important. This study concerned with analyzing and establishing relationships between Rainfall events and their implications on Runoff generation of Narai Drain Watersheds. As revealed by the goodness-of-fit test, expected Rainfall for the different Return Periods (Tr) of 2, 5, 10, 25, 50, 100, and 200 years of Narai Drain from the existing daily maximum rainfall of Peshawar from 1973 to 2013 were estimated by using Log Pearson III (LP3) Probability Distribution. The Peak Discharge flow data from the estimated Rainfall was calculated by using SCS curve number method through WinTR-20 Computer model for simulating the future flood discharge scenarios. Catchment area of Narai Drain and land use were determined by using spatial analysis in ARC-GIS and Erdas Imaging. Result from the study showed that Win TR-20 model generate linear relationship of α and β values of -41.28 and 0.64 for the prediction of one-day maximum Rainfall. Log Pearson type III (LP3) Distribution is recommended for runoff generation in the vicinity of the study area.
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