MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
Environ Pollut. 2020 Jul;262:114284. doi: 10.1016/j.envpol.2020.114284. Epub 2020 Mar 12.
Concentrations of the air pollutants (NO and particulate matter) were measured for several months and at multiple locations inside and outside two enclosed railway stations in the United Kingdom - Edinburgh Waverly (EDB) and London King's Cross (KGX) - which, respectively, had at the time 59% and 18% of their train services powered by diesel engines. Average concentrations of NO were above the 40 μg m annual limit value outside the stations and were further elevated inside, especially at EDB. Concentrations of PM inside the stations were 30-40% higher at EDB than outside and up to 20% higher at KGX. Concentrations of both NO and PM were highest closer to the platforms, especially those with a higher frequency of diesel services. A random-forest regression model was used to quantify the impact of numbers of different types of diesel trains on measured concentrations allowing prediction of the impact of individual diesel-powered rolling stock.
污染物（NO 和颗粒物）浓度在英国两个封闭式火车站（爱丁堡韦弗利站和伦敦国王十字站）内外的多个地点和多个时间段进行了测量，这两个火车站分别有 59%和 18%的列车服务由柴油发动机提供动力。车站外的 NO 平均浓度超过了 40μg/m 的年限值，并且在站内进一步升高，尤其是在爱丁堡韦弗利站。站内 PM 浓度在爱丁堡韦弗利站比站外高 30-40%，在国王十字站高 20%。NO 和 PM 的浓度在离站台越近的地方越高，尤其是那些柴油服务频率较高的站台。使用随机森林回归模型来量化不同类型的柴油列车数量对测量浓度的影响，从而可以预测个别柴油动力车辆的影响。
