Time Series Models on Inflows Forecasting

碩士 === 中原大學 === 土木工程研究所 === 98 === Abstract In Taiwan,roughly 78% of its yearly rainfall concentrates in the summer and autumn. As the distribution of rainfall is extremely uneven and regional issues, If we can more predict the flow accurately,and it may be ues to estimate inflow for reservoir ope...

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Bibliographic Details
Main Authors: Jia-Huei Su, 蘇嘉惠
Other Authors: An-Pei Wang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/75139261139649802641
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Summary:碩士 === 中原大學 === 土木工程研究所 === 98 === Abstract In Taiwan,roughly 78% of its yearly rainfall concentrates in the summer and autumn. As the distribution of rainfall is extremely uneven and regional issues, If we can more predict the flow accurately,and it may be ues to estimate inflow for reservoir operator. In this paper, multivariate of time series autoregressive model(Auto-Regressive eXogeneous, called ARX)and multivariate autoregressive moving average model (Auto-Regressive Moving Average eXogeneous, referred to as ARMAX) to establish the relationship between flow and rainfall, for simulation and prediction.