Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes
Joint Authors
Kim, Yonsoo
Lee, Jongso
Kim, Soojun
Kim, Hung Soo
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The aim of this study is to identify and evaluate chaotic behavior in hydro-meteorological processes.
This study poses the two hypotheses to identify chaotic behavior of the processes.
First, assume that the input data is the significant factor to provide chaotic characteristics to output data.
Second, assume that the system itself is the significant factor to provide chaotic characteristics to output data.
For solving this issue, hydro-meteorological time series such as precipitation, air temperature, discharge, and storage volume were collected in the Great Salt Lake and Bear River Basin, USA.
The time series in the period of approximately one year were extracted from the original series using the wavelet transform.
The generated time series from summation of sine functions were fitted to each series and used for investigating the hypotheses.
Then artificial neural networks had been built for modeling the reservoir system and the correlation dimension was analyzed for the evaluation of chaotic behavior between inputs and outputs.
From the results, we found that the chaotic characteristic of the storage volume which is output is likely a byproduct of the chaotic behavior of the reservoir system itself rather than that of the input data.
American Psychological Association (APA)
Kim, Soojun& Kim, Yonsoo& Lee, Jongso& Kim, Hung Soo. 2015. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052673
Modern Language Association (MLA)
Kim, Soojun…[et al.]. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes. Advances in Meteorology No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052673
American Medical Association (AMA)
Kim, Soojun& Kim, Yonsoo& Lee, Jongso& Kim, Hung Soo. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052673