Prediction of flood flow from rainfall data by regression analysis

AuthorSan Pedro, Rolando D.
Call NumberAIT Thesis no. 451
Subject(s)Rain and rainfall
NoteA thesis submitted \'in partial fulfillment of the requirements for the degree of Master of Engineering at the Asian Institute of Technology, Bangkok, Thailand .
PublisherAsian Institute of Technology
AbstractThe prediction model hereto presented constitutes only the ยท two most important parameters in a hydrologic system namely: (a) rainfall and (b) runoff. These parameters were used in the development of a prediction equation for. the watershed under study. The prediction model based on Multiple Linear Regression Analysis was of the form Qt = A + Bp +Cp +DQ +SY(T) t-1 t t-1 Monthly, seasonal and yearly regression equation with the optimal combinations of the dependent and independent variables were searched by a Backward Elimination Procedure employing an IBM 1130 digital computer. The following criteria were used in the selection of the best predicting equation. for each period: (a) test of significance of regression coefficients and equations; (b) least variance or standard error of estimate; (c) largest coefficient of determination. Daily historical record of rainfall and runoff were used. The results are shown and tabulated in Tables 1 and 2.
Year1972
TypeThesis
SchoolStudent Research Before 1980
DepartmentOther Field of Studies (No Department)
Academic Program/FoSThesis (Year <=1979)
Chairperson(s)Subin Pinkayan
Scholarship Donor(s)Government of Japan
DegreeThesis (M. Eng.) - Asian Institute of Technology, 1972


Usage Metrics
View Detail11
Read PDF0
Download PDF0