1 AIT Asian Institute of Technology

Hydrologic prediction in selected un-guaged basins in Thailand

AuthorJakkrit Miyai
Call NumberAIT Thesis no.WM-05-01
Subject(s)Hydrological forecasting--Thailand
Runoff--Thailand
Basins (Containers)--Thailand
NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management
PublisherAsian Institute of Technology
AbstractThe overall objective of this study was to develop a general modeling framework for prediction of hydrological responses (runoff) in un-gauged basins in Thailand. Fourteen basins in Northern and one basin in Eastern Thailand were selected for this study. BTOPMC, a grid-based distributed rainfall-runoff model, which considers basin topography, soil type, and land cover data, was used for the study. Hydro-meteorological data in the form of rainfall, evaporation and observed flow was used as model input along with data on nineteen basin properties. Multiple regression equations, both linear and non linea, were developed from selected gauged basins in the northern region by relating model parameters with selected basin properties. The study also compared the performance of prediction accuracy by analyzing multiple regressions with different sizes of data sets. The first analysis was carried out with all thirteen gauged basins. For the second analysis, only four gauged basins located near the un-gauged basin were used. The study also considered application of the developed regression equations under scenarios of land use change. Initially all the multiple regression equations were developed with the land cover data set of year 2000 or 2001. However, these multiple regression equations were tested by using land cover data set of year 1989 as model input and in the calculation of basin characteristics. The results of the study indicated that since the regression equations were developed from gauged basins in Northern Thailand, the estimated model parameters performed well for prediction in the un-gauged basin in the Northern Thailand only. The prediction was inaccurate when the same estimated model parameters were used for prediction in basins in Eastern Thailand. A possible reason could be the difference in land use pattern, topography, soil type and surroundings of the two regions. However, these parameters provided sufficient prediction accuracy when applied to basins in North-eastern Thailand, possibly due to the fact that Northern and North-eastern Thailand have similar topography and land use pattern. Non linear regression equations provided better prediction accuracy when compared to linear regression equations. The results also indicated that using a data set of 13 gauged basins provided better results than that by using 4 gauged basins
Year2006
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSWater Engineering and Management (WM)
Chairperson(s)Babel, Mukand Singh
Examination Committee(s)Gupta, Ashim Das;Clemente, Roberto;Chanchai Suvanpimol (External Expert)
Scholarship Donor(s)Ministry of Agriculture and Cooperatives (MOAC)
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2006


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