摘要
以北京市某典型区域作为研究对象,在收集大量相关资料与实测历史噪声数据的基础上,对研究区域内的声环境质量影响因素进行灰色关联度分析,并运用灰色理论建立GM(1,1)模型进行预测。结果表明,影响城市区域声环境质量因素从大到小的排序依次为:机动车辆﹥常住人口数量﹥平均车流量﹥地区生产总值﹥城市道路桥梁﹥基础设施投资﹥治理噪声环保投资;以研究区域内噪声污染实测历史数据建立的GM(1,1)模型精度符合要求标准,根据GM(1,1)模型预测北京市"十二五"期间声环境质量达标且有轻微下降趋势。
In order to complete the objectives of "The Twelfth Five-Year Guideline" of the main noise pol-lution prevention and control in urban areas of Beijing, comprehensively improve the level of acoustic environmen-tal quality in Beijing,and scientifically predict of noise pollution in the regional level and development trend in the " The Twelfth Five-Year Guideline" period,based on collected data and measured historical noise data,this article focused on a typical region in Beijing to make grey Relational Analysis for some factors affecting the quali- ty of the acoustic environment within the study area,and to predict by using the gray theory GM ( 1,1 ) model. The results showed that: the factors that of influence acoustic environmental quality were ranked as follows: mo- tor vehicles 〉 average traffic flow 〉 GDP 〉 urban roads and bridges 〉 Population density 〉 infrastructure in- vestment 〉 noise control and environmental protection investment; the accuracy of the GM (1,1) model estab- lished by the measured historical data of noise pollution within the study area meets the requirements, prediction based on the GM ( 1,1 ) model suggested the acoustic environment quality reaching the standards with declining trend during " The Twelfth Five-Year Guideline " of Beijing.
出处
《环境监测管理与技术》
2013年第3期21-25,共5页
The Administration and Technique of Environmental Monitoring
基金
北京市教育委员会科技基金资助项目(JC005013201001)
关键词
区域声环境质量
灰色系统理论
灰色关联度
GM(1
1)模型
噪声污染水平预测
Acoustic environment quality in areas
Grey theory
Grey relational analysis
Grey model ( 1,1 )
The level of noise pollution predict