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035 _a.b10455553
099 9 _aAIT Thesis no. 1348
100 0 _aChaiwat Kayankannavy
245 1 0 _aMulti-site streamflow generation with the view of preserving the higher order moments
260 _aBangkok :
_bAsian Institute of Technology,
_c1979
300 _a101 p.
490 1 _aThesis ;
_vno. 1348
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering of the Asian Institute of Technology, Bangkok, Thailand
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1979
520 _aThe present research deals with two station streamflow generation schemes, in the attempt to preserving the moments of the historical sequences up to the third order. For this purpose, three ten day streamflow generation models are presented and their applicability is investigated by means of case studies. These models are: Stepwise model, Fiering two station model and Multiple Regression model. In addition, the Stepwise model is also used for monthly streamflow generation and a disaggregation model is employed to transfer generated monthly sequences into ten day sequences. The method for estimates the related parameters of these models are described and their use is judged when necessary by means of typical statistical tests. Through comparison between the generated sequences and the historical sequences in terms of the mean, the standard deviation, the serial and cross correlation coefficients, and the skewness coefficient, The most suitable model is recommended for use in the case of the Tachia River basin in Taiwan.
650 0 _aStream measurements
_xTaiwan
_xTachia River Basin
700 1 _aSelvalingam, Selvadore,
_eChairperson
700 1 _aEggers, Helmut,
_eExamination Committee
700 1 _aHuynh Ngoc Phien,
_eExamination Committee
710 2 _aStarr Foundation,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. 1348
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B22360
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