Case Studies
Oct 7, 2014

Assessment of Future Floods in the Bagmati River Basin of Nepal Using Bias-Corrected Daily GCM Precipitation Data

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 8

Abstract

In this paper, climate change impact on flood frequency has been investigated in Bagmati River Basin of Nepal using bias-corrected global climate model (GCM) precipitation output. The research reported in this paper employed a high-resolution (approximately 20-km) daily GCM precipitation and temperature output of Meteorological Research Institute (MRI), Japan. Comparison of observation and GCM data pointed out that the MRI-GCM precipitation consists of significant biases in frequency and intensity values. Quantile-quantile mapping method of GCM bias correction was applied for minimizing the biases in precipitation frequencies and intensities. Concept of homogeneous precipitation regions was introduced to link the uneven observation data stations and GCM grid cells. Analyses of return period curves, shape, and scale factors at different observation stations enabled delineation of three homogeneous precipitation regions. Accordingly, regional quantile-quantile bias-correction technique was developed for minimizing biases in MRI-GCM precipitation output. A distributed rainfall-runoff model enabled generation of streamflow series using bias-corrected GCM output for 1979–2003 and 2075–2099 periods, as current and future scenarios, respectively. Finally, comparative flood frequency analyses were carried out for the simulated annual daily maximum streamflow series of current and future climates. The analyses revealed that the climate change will result more extreme precipitation events in monsoon months and less precipitation in other months. The analyses also revealed that flood events will be significantly increased in future. The range of change in 2–100 year return period floods was from 24–40%.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 8August 2015

History

Received: Nov 15, 2013
Accepted: Aug 27, 2014
Published online: Oct 7, 2014
Discussion open until: Mar 7, 2015
Published in print: Aug 1, 2015

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Binaya Kumar Mishra [email protected]
Project Researcher, Integrated Research System for Sustainability Science, Univ. of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan (corresponding author). E-mail: [email protected]; [email protected]
Srikantha Herath
Senior Academic Program Officer, United Nations Univ., Tokyo 150-8925, Japan.

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