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008			280898 th eng
035			_a.b10026319
099		9	_aAIT Thesis no.CS-89-09
100	0		_aApichit Yongvanich
245	1	2	_aA computer assisted system for flood frequency analysis
260			_aBangkok : _bAsian Institute of Technology, _c1989
300			_a96 p. + _e1 online resource
490	1		_aThesis ; _vno. CS-89-9
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science
502			_aThesis (M.Sc.) - Asian Institute of Technology, 1989
520			_aA Computer Assisted System for Flood Frequency Analysis, called CASFFA, was designed and implemented in this study. It consists of two components, the first, called DPU, is used for data preparation, and the second, called FFAS, carries out the required steps in flood frequency analysis on the data provided by the DPU. The developed system was used to analyse flood data in Thailand for both at-site and regional approaches. In the analysis, three popular distributions, the Generalized Extreme Value (GEV), the Log Logistic (LLG) and the Three Parameter Log Normal (LN3), were adopted for use along with three regional procedures, namely ; the Station Year Index, the Wallis and the Lettenmaier procedure. Three homogeneous regions, namely the Northern, Chi and Mun were identified by means of the Krusal - Wallis test. For the Northern region, the Lettenmaier regional procedure based on GEV fitted by the unbiased PWM estimators (GEV/PWM) is usually the best in terms of the standard deviation and the relative bias while the Wallis regional procedure used along with the LLG fitted by the plotting position estimators (LLG/PLOT) is the best in terms of the percent standard error. For both Chi and Mun regions, the Wallis regional procedure is found to be better in terms of the standard deviation when it is used along with the LLG/PLOT procedure and is better in terms of the percent standard error when it is used along with the LLG/PWM while the station year index regional procedure based on the LLG/ PWM is best in terms of the relative bias. It was also found that in most cases, the regional approach provides better estimation for the T- year event than does the at-site approach.
650		0	_aFlood forecasting _xMathematical models
700	1		_aHuynh, Ngoc Phien, _eChairperson
700	1		_aNagarur, Nagendra N., _eExamination Committee
700	1		_aPaudyal, Guna N., _eExamination committee
710	2		_aAsian Development Bank (ADB), Japan, _eScholarship donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. CS-89-9
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B17643
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909			_aBarcode : a _bCREATED : 1995-10-13 _cRECORD # : i10008007 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
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