摘要
利用地铁区间隧道环境温度的实测数据,分析了大气温度、大气相对湿度、列车数量、客流量、运行年限对地铁区间隧道环境温度的影响,并利用回归分析得到了区间隧道环境温度的预测模型。分析结果显示:外界大气温度直接影响区间环境温度的变化趋势;区间隧道环境温度与外界大气相对湿度、列车数量和客流量具有相似的波动规律;运行年限的增加导致区间隧道热堆积加剧,使区间隧道环境温度逐年升高;利用回归模型的T检验结果可以得到各因素对区间隧道环境温度的影响程度,而回归模型可以较准确地预测隧道环境温度。
Subway environmental temperature had been measured from Spt. 20th of 2011 to Feb. 23th of 2012, the relations between atmospheric temperature, relative humidity, train numbers, passenger volume and operation time are analyzed. By using regression analysis of the environmental temperature, a predicting model of the tunnel is obtained. The analysis shows that atmospheric temperature directly affects the variation trend of subway environmental temperature, and the relative humidity, train numbera, passenger volume and the tunnel interval environmental temperatures also have the similar variation trend, it is now clear that, the heat accumulation in the tunnel caused by train operation became more and more serious. Through a T-test of the temperature forecasting model, influential factors of the tunnel temperature could be obtained. This model can describe the temperature in metro tunnel accu- rately.
出处
《城市轨道交通研究》
北大核心
2013年第3期68-72,共5页
Urban Mass Transit
关键词
地铁隧道
环境温度
预测模型
metro tunnel
environmental temperature
forecasting model
