首页> 外文期刊>Tunnelling and underground space technology >Monitoring and analysis of the operational environment in an extra-long highway tunnel with longitudinal ventilation
【24h】

Monitoring and analysis of the operational environment in an extra-long highway tunnel with longitudinal ventilation

机译:纵向通风超长公路隧道运行环境监测与分析

获取原文
获取原文并翻译 | 示例
           

摘要

Owing to their ability to dilute pollutant concentrations and enhance visibility, which significantly improves driving safety, ventilation systems have become one of the critical subsidiary facilities in extra-long highway tunnels. The spatiotemporal distribution characteristics of toxic gases, visibility, and air velocity in the Qin Mountains No. 1 tunnel (uphill bore, 6.02 km) were analyzed by combining a traffic survey with an analysis of environmental monitoring data. The analysis indicated that CO and visibility are unsuitable as primary control indexes for mountain tunnel ventilation when heavy goods vehicles (HGVs) represent a fairly large proportion of the traffic composition. The maximum in-tunnel NO2concentration was 2.3 ppm, which is 2.3 times the design standard. Differences in the NO2/NOxratio proved that gaps still exist between the diesel vehicle exhaust gas after-treatment technologies used in China and Europe. Consequently, stricter diesel exhaust emission standards and more intelligent ventilation-control technologies should be adopted in future tunnel designs. The results not only offer data that support the establishment of in-tunnel air quality control standards but also provide a feasible method for predicting the levels of various pollutants and developing ventilation-control strategies.
机译:由于它们能够稀释污染物浓度并提高能见度,从而显着提高行车安全性,因此通风系统已成为超长公路隧道中的关键辅助设施之一。通过结合交通调查和环境监测数据分析,对秦山一号隧道(上山洞,6.02 km)中有毒气体,能见度和空气速度的时空分布特征进行了分析。分析表明,当重型货车在交通组成中占很大比例时,一氧化碳和能见度不适合作为山区隧道通风的主要控制指标。隧道内最大NO2浓度为2.3µppm,是设计标准的2.3倍。 NO2 / NOx比值的差异证明,在中国和欧洲使用的柴油车尾气后处理技术之间仍然存在差距。因此,未来的隧道设计应采用更严格的柴油机尾气排放标准和更智能的通风控制技术。研究结果不仅提供了支持建立隧道内空气质量控制标准的数据,而且为预测各种污染物的水平和制定通风控制策略提供了一种可行的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号