Share Email Print

Proceedings Paper

Gray-Markov-model-based prediction and analysis on urban water use
Author(s): Yuanbiao Zhang; Jianwen Xie
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper develops a Gray-Markov model-based approach to predict the municipals water use by combining the grey system theory and Markov random process theory. The proposed approach uses the prediction curve of the grey dynamic forecast model GM(1, 1) as the datum line of the trend of the city water use. Besides, the Markov prediction approach is applied to determine the range of the system chance fluctuation, optimize and modify the grey predictive value. To demonstrate that our system is working correctly, the author used the prediction system to analyze the water data and predict the volume of water use in the city of Zhuhai at a specific time. The approach can not only effectively discover the overall trend of the city water use, but also overcome the influence of the chance fluctuation upon the precision of prediction. Therefore, the approach is effective in real world.

Paper Details

Date Published: 10 July 2009
PDF: 7 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910Q (10 July 2009); doi: 10.1117/12.837206
Show Author Affiliations
Yuanbiao Zhang, Jinan Univ. (China)
Jianwen Xie, Jinan Univ. (China)

Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

© SPIE. Terms of Use
Back to Top