Detection of nonstationarity in hydrologic time series

淡江大學機構典藏 > 工學院 > 水資源及環境工程學系暨研究所 > 期刊論文 > Item 987654321/46440

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题名:	Detection of nonstationarity in hydrologic time series
作者:	Rao, A. Ramachandra;Yu, Gwo-hsing
贡献者:	淡江大學水資源及環境工程學系
日期:	1986-09
上传时间:	2010-03-29 14:15:44 (UTC+8)
出版者:	Catonsville: Institute for Operations Research and Management Sciences (INFORMS)
摘要:	Detection of changes in hydrologic time series due to intervention by man or natural causes is an important problem. Although intervention analysis has been used in the recent past to analyze nonstationary hydrologic time series, the necessity to specify a model of change and an initial time at which the time series has started to change are obvious disadvantages of intervention analysis. An alternative to intervention analysis is a method which is based on spectral characteristics and an exponential moving average model. The basic objective of the research discussed in the present paper is to test this alternative method. The model is tested by using synthetic uncorrelated and correlated data with step and gradual changes as well as by using real hydrologic time series. The sensitivity of the model to different parameters is also explored. The alternative model is found to be quite accurate in detecting changes in hydrologic time series.
關聯:	Management Science 32(9), pp.1206-1217
DOI:	10.1287/mnsc.32.9.1206
显示于类别:	[水資源及環境工程學系暨研究所] 期刊論文

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