| Author | Perera, Ishara Rakith |
| Call Number | AIT Caps. Proj. no.CIE-14-12 |
| Subject(s) | Flood damage prevention--Petchaburi River(Thailand)
|
| Note | A capstone project report submitted in partial fulfillment of the requirements for the
Degree of Bachelor of Science in Engineering in
Civil and Infrastructure Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. CIE-14-12 |
| Abstract | This study presents a method of using hydrological and river modeling for mapping the risk of flooding in Petchaburi River, Thailand. The risk mainly depends on the vulnerability of the community and the magnitude of the hazard. As the first objective, HEC-HMS rainfall runoff model is developed for the Petchaburi Watershed in order to find out the discharge at the upstream boundary of the Petchaburi River. Using the historical peak discharge values, a flood frequency analysis is performed based on Log Pearson Type III probability distribution to predict the peak discharges for 2-, 5-, 10-, 50- and 100- year return period scenarios. As the second objective, the projected discharges are used in HEC-HAS hydrodynamic model in order to perform the flood simulations for each scenario. With a combination of HEC-GeoRAS and ArcGIS tools, the simulated flood extent was represented spatially and the flood hazard maps are generated. The magnitude of the hazard is divided into four categories depending on the flood water depth along the flood plain. ‘Low’, ‘Moderate’, ‘High’ and ‘Very High’ levels are assigned when the depth of flooding is 0 – 40cm, 40cm – 1m, 1m – 1.5m and higher than 1.5m respectively. It is found out from this study that under 2-, 5-, 10-, 50- and 100- year return period scenarios the total areas that get submerged are 962.05, 1164.44, 1357.76, 1497.06, 1852.21 and 2097.31 Hectares respectively. From the study it was identified that the highest threat from floods is to the agricultural areas and residences which consists of villages and various crop plantations. Depending on the sensitivity, exposure and adaptive capacity, the landuse types are given vulnerability rankings with urban areas being the most vulnerable and villages, agricultural and abandoned fields having the rest in descending order. Finally, the product of the hazard and vulnerability was generated in the form of a raster using GIS tools to create the flood risk maps for each return period. |
| Year | 2014 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. CIE-14-12 |
| 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) | Shrestha, Sangam; |
| Examination Committee(s) | Taravudh Tipdecho; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2014 |