时间序列分析在山岳型景区用水量预测的研究与应用
Study and Application of the Time Series Analysis for Water Demand Forecasting in the Mountainous Tourist Area
作者: 黎 杰 , 朱珊珊 , 宣善立 ：合肥工业大学计算机与信息学院，合肥; 凌 亮 ：黄山风景区供水有限公司，黄山;
关键词: 时间序列分析； ARIMA； 预测； Time Series Analysis； ARIMA； Forecast
摘要:Abstract: With the development of the tourism industry, the number of tourists in the mountainous tourist area has increased year after year, and the resources need to be used harmoniously. Meanwhile, water is the most important resources, and rational and effective use of water resources will help to improve the overall competitiveness of the scenic area. Aimed at the characteristics of the mountain scinic area, this paper has studied and analyzed ARIMA model and its modeling process of the time series .The statistical data from Huangshan Scenic Area Water Supply Company of the first half of 2012 are applied to establish the water consumption ARIMA model for predictive analysis in Huangshan Scenic Area. The results have indicated that water consumption in Huangshan Scenic Area belongs to non-stationary time series and the fitting effect of ARIMA model is favorable.
文章引用: 黎 杰 , 朱珊珊 , 宣善立 , 凌 亮 (2014) 时间序列分析在山岳型景区用水量预测的研究与应用。 软件工程与应用， 3， 145-151. doi: 10.12677/SEA.2014.36017
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