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基于GM(1,1)模型的秦皇岛市大气污染物SO2预测
引用本文:代伟,曲东. 基于GM(1,1)模型的秦皇岛市大气污染物SO2预测[J]. 中国环境管理干部学院学报, 2011, 21(1): 55-57,91. DOI: 10.3969/j.issn.1008-813X.2011.01.016
作者姓名:代伟  曲东
作者单位:1. 西北农林科技大学资源环境学院,陕西杨凌712100;中国环境管理干部学院,河北秦皇岛066004
2. 西北农林科技大学资源环境学院,陕西杨凌,712100
摘    要:根据2004—2009年大气中SO2污染物的监测数据,通过灰色GM(1,1)模型预测了未来6年秦皇岛市大气中SO2的变化趋势。结果显示,灰色系统GM(1,1)模型合理,精度较高,相对误差为-1.875%~1.228%,与环保部门公布的数据吻合程度较好。

关 键 词:SO2  GM(1,1)模型  变化趋势预测  大气污染物

Prediction of Air Pollutants SO2 in Qinhuangdao based on the GM (1,1)Model
Dai Wei,Qu Dong. Prediction of Air Pollutants SO2 in Qinhuangdao based on the GM (1,1)Model[J]. Journal of Environmental Management College of China, 2011, 21(1): 55-57,91. DOI: 10.3969/j.issn.1008-813X.2011.01.016
Authors:Dai Wei  Qu Dong
Affiliation:1. College of Resource and Environment, Northwest A &F University, Yangling Shaanxi 712100; 2. Environmental Management College of China, Qinhuangdao Hebei 066004)
Abstract:According to the monitoring data of air pollutants SO2 in Qinhuangdao from 2004 to 2009, a variation trend of the ambient air quality of the next six years was forecast through GM (1,1) model with grey system to provide a basis for the air pollution control. Results of the theoretical prediction was quite in agreement with the observations with relative errors in the range -1.875%- 1.228%.
Keywords:SO2  GM ( 1,1 ) model  variation trend forecasting  air pollutants
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