alexa Multi-model Climate Change Projections for Belu River B
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Research Article

Multi-model Climate Change Projections for Belu River Basin, Myanmar under Representative Concentration Pathways

Aung MT, Shrestha S*, Weesakul S and Shrestha PK
Water Engineering and Management, Asian Institute of Technology, Klong Luang, Pathumthani, Thailand
*Corresponding Author : Shrestha S
Water Engineering and Management
Asian Institute of Technology
Klong Luang, Pathumthani, Thailand
E-mail: [email protected], [email protected]
Received November 09, 2015; Accepted December 14, 2015; Published December 20, 2015
Citation: Aung MT, Shrestha S, Weesakul S, Shrestha PK (2016) Multi-model Climate Change Projections for Belu River Basin, Myanmar under Representative Concentration Pathways. 7:323. doi:10.4172/2157-7617.1000323
Copyright: © 2016 Aung MT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Climate change impacts and adaptation related studies in Myanmar are scanty. Therefore this study aims to project
future climate scenarios considering two key meteorological parameters-temperature and precipitation -in Belu River
Basin in Myanmar. Multi-GCMs approach with ten different GCMs on 10th to 90th percentile uncertainty range is studied
using time series data of nine meteorological stations. Quantile mapping technique is used to correct the bias in raw GCM
data. Bias corrected GCM ensembles are analysed for a wide range of climate scenarios to get the complete picture
of climate change pattern for 21st century. All ten GCM ensembles (four RCP scenarios) indicate that the monsoon to
get wetter as well as delayed. August will witness highest amount of rainfall. More rain concentrating over shorter time
span suggests likely increase in extreme precipitation events. Only a slight increase is expected on the overall annual
precipitation (-1.78~+ 9.14%, range of values from four scenarios). Minimum temperature is found to increase almost
twice (+0.64~+5.27C) as compared to maximum temperature (+0.56~+2.82°C) under different scenarios. Summer is the
hardest hit season with May and April the most affected months for maximum and minimum temperatures respectively.
These results are very useful for further research on assessment of vulnerability and adaptation on water resources and
water use sectors in Belu River Basin in Myanmar.


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