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Title Transcription
ヒ テイジョウ マルコフ モデル ニヨル カセン リュウリョウ シミュレーション
Title Alternative
Stochastic Simulation of River Flow by Nonstationary Markov-Chain Model
File
language
jpn
Author
Takeyama, Kouichi
Tanaka, Reijiro
Description
The time series of the average value of 5-days flow can be represented by a nonstationary Markov-chain model with randam components, month by month. The randam components ε_t may be transformed into χ_t (χ_t = ε_t + B + b) and it's distribution can be fitted most satisfactorily to a lognormal distribution. Here,
B ; a gradually increasing value with some step. The greater it is, the more normalized distribution of χ_t is gained.
b ; a parameter which approximates the shape of lognormal distribution to that of the observed one, by Iwai method.
Having sequentially generated the river flow by that model with Monte Carlo simulation technique for 100 years at two points, the model has been proved to be available for practical purposes.
Journal Title
Bulletin of the Faculty of Agriculture, Shimane University
Volume
8
Start Page
76
End Page
80
ISSN
0370940X
Published Date
1974-12-15
NCID
AN00108015
Publisher
島根大学農学部
Publisher Aalternative
Shimane University, Faculty of Agriculture
NII Type
Departmental Bulletin Paper
OAI-PMH Set
Faculty of Life and Environmental Science