Climate change impacts on irrigation water requirements in Shwe Hlan Bo, Myanmar | |
| Author | Pan Nandar Yu Zan |
| Call Number | AIT Caps. Proj. no.CIE-17-70 |
| Subject(s) | Climatic changes--Myanmar--Shwe Hlan Bo Irrigation--Water requirements--Myanmar--Shwe Hlan Bo |
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Civil And Infrastructure Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. CIE-17-70 |
| Abstract | The Shwe Hlan Bo irrigation project is located in Sintgaing Township, Kyaukse District, Mandalay Region, Myanmar. The implementation of this project is to supply sufficient amount of water to 5000 acres of farm land. This project involves gravity irrigation sys- tem, pump irrigation system, spate irrigation system and drainage system. The Shwe Hlan Bo reservoir has been situated in this region since the time of the ancient Myanmar Kingdom but the water from the reservoir can be supplied for only few acres of land. Thus the water is taken from Doktawaddy River by pumping to swell water to reservoir. The objective of my study is: • To estimate CWR and IR for present condition. • To estimate CWR and IR for future conditions. • To assess impacts of climate change on CWR and IR. To estimate crop water requirement and irrigation water requirement for present and future condition, CROPWAT 8.0 software is used. To determine future CWR and IR, I took biacor- rected temperature and precipitation data from my partner. He used Linear scaling method and Quantile method as bia-corrected method. Among these two methods, I used Linear scaling method by CNRM with two scenarios: RCP4.5 and RCP 8.5. The forecasted CWR and IRR result by RCP 4.5 is higher than that of RCP 8.5 because forecasted temperature and crop evapotranspiration rate by RCP 4.5 is higher than that of RCP 8.5. For most cases, forecasted CWR and IRR by RCP 4.5 and RCP 8.5 are higher than CWR and IRR value from observed meteorological data because forecasted crop evapotranspiration is high as predicted temperature, surface wind speed and sunshine hour are high. The CWR and IRR result depend on meteorological data. The climate change affects future CWR and IRR be- cause projection temperature is high so crop evapotranspiration is also high and it will be faced that reduction in rainfall intensity. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. CIE-17-70 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Civil and Infrastructure Engineering (CIE) |
| Chairperson(s) | Pandey, Vishnu Prasad; |
| Examination Committee(s) | Shrestha, Sangam;Bhujel, Ram; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2017 |