02874nas|a2200253 a 450000500170000000800410001703500150005810000310007324500760010426000520018030000150023249000270024750001360027450200590041052017860046965000250225565000540228070000420233470000370237670000420241371000410245581000590249685600650255520260818112528.0951012s1994 th u m rtt 00| a1eng d a.b102570441 aSridhar, Venkataramana Rao10aEstimation of probable maximum flood to Ubol Ratana Reservoir, Thailand aBangkok :bAsian Institute of Technology,c1994 a173 leaves1 aThesis ;vno. IR-93-09 aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. School of Civil Engineering aThesis (M. Eng.) - Asian Institute of Technology, 1994 aThe current practice of PMF Estimation in the storm rainfall prone Ubol Ratana Reservoir is by Rational formula and Unit Hydrograph approach. The storm rainfall and their distribution is not given due attention during the previous studies even though the acceptable conservative values of PMF obtained from them. In this study, a reliable and authenticated method of estimating PMF is proposed for the reservoirs in the Northeast Thailand based on the: 1. Careful consideration of storms that cross the catchment area along with orientation and their period of crossing which is capable of producing a rainfall exceeding 150 mm. As the emphasis is mainly for the extreme cases of occurrence of storm, a long spell of 50 years of observation is considered in this study. 2. Basin Averaged Probable Maximum Storm Rainfall depths computation using modified Hydrometeorological Report No.52 (HMR52 Program). The original program suitable for United States has been modified and made user interactive, thus enabling the program to be applicable to Thailand. 3. Transformation of rainfall into runoff using a rainfall runoff model SSARR after calibrating the model with recent catchment characteristics changes incorporated in it. Thus, a Rational Procedure for PMF Estimation to a reservoir is proposed using modified HMR52 and SSARR models. Furthermore, the important parameter, Precipitation Weighting Factor in the rainfall-runoff model is standardized carefully to compute the inflow at the reservoir location. Thus a more reliable and conservative PMF is obtained in this study. Furthermore, the observable difference in PMF estimation can be taken as an implication of consideration of extreme conditions as well change in the catchment area characteristics.  0aUbolratana Reservoir 0aFlood forecastingxThailandxUbolratana Reservoir0 aTawatchai Tingsanchali, eChairperson0 aNophadol In-na, eCo-Chairperson1 aSheng, Liang, eExamination Committee2 aThe Netherlands, eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. IR-93-09 3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B16067