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http://dx.doi.org/10.17663/JWR.2019.21.1.066

Modelling and Residual Analysis for Water Level Series of Upo Wetland  

Kim, Kyunghun (Department of Civil Engineering, Inha University)
Han, Daegun (Department of Civil Engineering, Inha University)
Kim, Jungwook (Department of Civil Engineering, Inha University)
Lim, Jonghun (Department of Civil Engineering, Inha University)
Lee, Jongso (Urban Research Division, Korea Research Institute for Human Settlements)
Kim, Hung Soo (Department of Civil Engineering, Inha University)
Publication Information
Journal of Wetlands Research / v.21, no.1, 2019 , pp. 66-76 More about this Journal
Abstract
Recently, natural disasters such as floods and droughts are frequently occurred due to climate change and the damage is also increasing. Wetland is known to play an important role in reducing and minimizing the damage. In particular, water level variability needs to be analyzed in order to understand the various functions of wetland as well as the reduction of damage caused by natural disaster. Therefore, in this study, we fitted water level series of Upo wetland in Changnyeong, Gyeongnam province to a proper time series model and residual test was performed to confirm the appropriateness of the model. In other words, ARIMA model was constructed and its residual tests were performed using existing nonparametric statistics, BDS statistic, and Close Returns Histogram(CRH). The results of residual tests were compared and especially, we showed the applicability of CRH to analyze the residuals of time series model. As a result, CRH produced not only accurate randomness test result, but also produced result in a simple calculation process compared to the other methods. Therefore, we have shown that CRH and BDS statistic can be effective tools for analyzing residual in time series model.
Keywords
Residual analysis; Nonparametric statistics; BDS statistics; CRH; Upo wetland;
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Times Cited By KSCI : 4  (Citation Analysis)
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