Goodness-of-Fit of Time Series Model for the Storage of Water in Agricultural Reservoir

Abstract:

The efficient management of the agricultural reservoir may well supply stable water for irrigation. In this article, time series analysis has been used for analyzing the storage of water data in Kihung agricultural reservoir that is located in Yongin City, Korea. For analyzing the storage of water data, three models, the ARIMA model, the autoregressive error model, and the dynamic regression model have been used. The result shows that the autoregressive error model is best suited for describing the storage of water data.

• Periodical: Key Engineering Materials (Volumes 277-279)
• Pages: 200-205
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.277-279.200
• Online since: January 2005
• Authors: Hoon Ja Lee, Tae Jin Ahn
• Keywords: ARIMA Model, Autoregressive Error Model, Dynamic Regression Model, Time Series Analysis

References

[1] D.P. Loucks, J.R. Stedinger and Douglas A: Water Resources System Planning and Analysis, Prince-Hall (1981).

[2] Korea Agricultural and Rural Infrastructure Corporation, Pyongtaek branch Office: Storage of Water Data in Kihung Agricultural Reservoir (1990-2002).

[3] R. H Shumway: Applied Statistical Time Series Analysis, Prince Hall (1998).