1 AIT Asian Institute of Technology

Analysis of future extreme precipitation indices pattern and return period analysis in Chindwin River Basin, Myanmar

AuthorKhine Zin Zin Theint
Call NumberAIT Caps. Proj. no.CIE-18-24
Subject(s)Climatic changes--Myanmar--Chindwin River Basin

NoteA capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Civil and Infrastructure Engineering
PublisherAsian Institute of Technology
Series StatementCaps. Proj. ; no. CIE-18-24
AbstractThere is an irresistible evidence which accept that climate change is real and has received lot of attention in the recent times. Climate change can impact water resources in many ways due to the basic relationship they share. A river basin has many lives connected to it which may even depend upon it. Southeast Asia region has the highly susceptible to climate change during recent decades. This study was carried out to assess future extreme rainfall indices pattern and return period analysis in the Chindwin River Basin. Although many researchers has been conducted in this region and Chindwin river basin yet there is less focused in this regard. The first analysis was performed by using the observed daily precipitation (1978-2005) of five stations. The analysis was compared between the upstream and downstream stations, among the different climate scenarios and the change of the climate indices in Chindwin River Basin. The near future rainfall was projected by the two RCMs ACCESS and CNRM under two RCPs, RCP 4.5 and RCP8.5. The climate precipitation was calculated by using the RClirnDex tool and the CWD, CDD, R25mm, PRCPTOT and Rx5 were used to perform the analysis. CDD is projected to be increase in near future in upstream area but decrease in the downstream area under both scenarios. CWD increase in both downstream and upstream area while R25mm decrease in both areas under both scenarios. PRCPTOT and Rx5day were projected to increase in near future. The return period analysis was performed by the log Pearson type III distributions by MS excel and it is found out that in near future the high rainfall intensity will happen frequently compared to the baseline period. The results suggest that the decision makers should focus on managing and making optimum use of the increased rainfall that is projected to be received in some time periods to compensate for reductions during other periods, to increase the crop yields and hydro power generation.
Year2018
Corresponding Series Added EntryAsian Institute of Technology. Caps. Proj. ; no. CIE-18-24
TypeCapstone Project
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSCivil and Infrastructure Engineering (CIE)
Chairperson(s)Shrestha, Sangam;
Examination Committee(s)Duc Hoang Nguyen;
DegreeCapstone Project (B.Sc.)-Asian Institute of Technology, 2018


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