摘要A fog-and-haze purification technology for highways is proposed by analyzing the causes and characteristics of fog and haze and by combining the ground and underground facilities on the highway with a dehumidification and filtration device. A new type of guardrail, which functions as both air spray and suction pipe, is designed. The dehumidification and filtration device, which is connected to these pipes, is installed in the underground space of the highway. Inhaling the fog and haze within a safe driving visual space from the suction pipes as well as dehumidifying and filtering them through the dehumidification and filtration device lead the mist and small particles into the drainage pipeline. The processed dry gas pressurized by a blower with high pressure and temperature is sprayed on the road through the spray pipes. Air purification aims to improve air visibility in the driving area, which can improve the traffic capacity and reduce the accident rate on the highway under hazy and fog weather. This scheme added a solar power system to a new type of slope protection measure combined with electric energy to provide the energy, reduce the cost, and improve the applicability of the technology scheme.
Abstract：A fog-and-haze purification technology for highways is proposed by analyzing the causes and characteristics of fog and haze and by combining the ground and underground facilities on the highway with a dehumidification and filtration device. A new type of guardrail, which functions as both air spray and suction pipe, is designed. The dehumidification and filtration device, which is connected to these pipes, is installed in the underground space of the highway. Inhaling the fog and haze within a safe driving visual space from the suction pipes as well as dehumidifying and filtering them through the dehumidification and filtration device lead the mist and small particles into the drainage pipeline. The processed dry gas pressurized by a blower with high pressure and temperature is sprayed on the road through the spray pipes. Air purification aims to improve air visibility in the driving area, which can improve the traffic capacity and reduce the accident rate on the highway under hazy and fog weather. This scheme added a solar power system to a new type of slope protection measure combined with electric energy to provide the energy, reduce the cost, and improve the applicability of the technology scheme.
基金资助:Supported by the National Natural Science Foundation of China (No.51178231); the National High Technology Research and Development Program(863)(No.2007AA11Z219)
通讯作者:
LIU Gui-li,E-mail:1526976986@qq.com
E-mail: 1526976986@qq.com
引用本文:
刘桂丽, 黄文博, 陈培文, 薛绍华. 高速公路雾、霾净化系统设计[J]. Journal of Highway and Transportation Research and Development, 2016, 10(4): 102-110.
LIU Gui-li, HUANG Wen-bo, CHEN Pei-wen, XUE Shao-hua. Research on Fog and Haze Purification Technology for Highways. Journal of Highway and Transportation Research and Development, 2016, 10(4): 102-110.
[1] HU Ping. An Enhancement Algorithm for Expressway surveillance Video in Fog and Haze Weather[J]. Journal of Highway and Transportation Research and Development, 2014, 31(1):139-144. (in Chinese)
[2] LI Chang-cheng, ZHANG Tong, XIN Xin. Control Strategy of Intelligent Guidance System for Traffic Safety in Foggy Area[J]. Journal of Highway and Transportation Research and Development,2013,30(2):114-132. (in Chinese)
[3] ZHOU Yu-han, ZHU He-hua, FENG Shou-zhong. Analysis of Concept and Calculation of Highway Tunnel Visibility and Smoke Concentration[J]. Journal of Highway and Transportation Research and Development,2013,30(10):147-153. (in Chinese)
[4] JIANG Xian-cai, HUANG Ke. Safeguards and Effects of Road Transportation Safety in Fog[J]. Journal of Harbin Institute of Technology University,2012,44(6):86-91. (in Chinese)
[5] LI Hong-yu, HU Zhao-xia, WEI Xiang. Analysis of Meteorological Elements in Rain/Snow mixed Fogs[J]. Chinese Journal of Atmospheric Science,2010,34(4):843-852. (in Chinese)
[6] WANG Run qing. Haze Weather Meteorology Definition and Preventive Measures[J]. Modern Agricultural Science and Technology,2012,21(7):44. (in Chinese)
[7] LEE M Y, HAHN H S, HAN Y J. Vehicle Detection Method with Sub-stretching Based on Light Contrast in Fog Road Image[J]. Journal of Measurement Science and Instrumentation,2011,2(1):57-58. (in Chinese)
[8] HU Zhao-xia, LEI Heng-chi, DONG Jian-xi. Characteristic Analysis and Numerical Simulation of a Regional Warm Fog Event[J]. Climatic and Environmental Research,2011,16(1):71-84. (in Chinese)
[9] YANG Yong-jie,WANG Yue-si. HUANG Wei-wei, et al. Size Distributions and Elemental Compositions of Particulate Matter on Clear Hazy and Foggy days in Beijing, China[J]. Advances in Atmospheric Sciences,2010,27(3):663-675.
[10] NIU Sheng-jie,LU Chun-song. Fog Research in China:An Overview[J]. Advances in Atmospheric Sciences,2010,27(3):639-662.
[11] MA Jian-zhong,XU Xiao-bin, ZHAO Chun-seng, et al. A Review of Atmospheric Chemistry Research in China:Photochemical Smog, Haze Pollution, and Gas-Aerosol Interactions[J]. Advances in Atmospheric Sciences,2012,29(5):1006-1026.
[12] YAN Wen-cui. Claim Guide and Compensation Standards of Road Traffic Accident[M]. Beijing:China Legal Publishing House, China. (in Chinese)
[13] ZHANG Chao-lin,ZHANG Li-na,WANG Bi-zheng. Analysis and Modeling of a Long-Lasting Fog Event over Beijing in February 2007[J]. Acta Meteorologica Sinica,2010,24(4):58-62.
[14] YANG Shao-wei. Road Survey and Design[M]. Beijing:China Communication Press,2012. (in Chinese)
[15] CHEN Xin, LIU Ying-shun, CAO Cong-yong. Traffic Management of America Expressway in Fog Weather[J]. Journal of China & Foreign Highway,2003,23(3):10-12. (in Chinese)
[16] YUAN Cheng-song, BIAN Guang-hui, FENG Xue-min. Monitoring and Forecasting of Low Visibility on Highways[J]. Meteorogical Monthly, 2003,29(11):21-23. (in Chinese)
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2016, Vol. 10 
