Paper Title:
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.

  Info
Periodical
Key Engineering Materials (Volumes 277-279)
Edited by
Kwang Hwa Chung, Yong Hyeon Shin, Sue-Nie Park, Hyun Sook Cho, Soon-Ae Yoo, Byung Joo Min, Hyo-Suk Lim and Kyung Hwa Yoo
Pages
200-205
DOI
10.4028/www.scientific.net/KEM.277-279.200
Citation
H. J. Lee, T. J. Ahn, "Goodness-of-Fit of Time Series Model for the Storage of Water in Agricultural Reservoir", Key Engineering Materials, Vols. 277-279, pp. 200-205, 2005
Online since
January 2005
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$32.00
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