Research on Noise Reduction Effect of Green Belts on Expressway

  • Jianfeng ZhangEmail author


The impact of highways on the sound environment mainly refers to the noise effects generated by highways. Noise is a public hazard that affects people’s living environment and causes people to be hurt. The noise generated by the road comes from two aspects: the noise generated by various construction machinery during construction and the noise generated by the vehicles running on the road during the operation period. In addition to the noise generated by the engine and the vehicle body, road noise is particularly serious when the wheels are strongly rubbed against the road surface during high-speed driving, and the roads are raised, and the noise can reach far away. The size of the noise is proportional to the speed of the vehicle and increases with the vehicle speed going up. When the vehicle accelerates, the noise increases by about 2–9 dB. The noise of the heavy-duty vehicle is larger than that of the light-duty vehicle. Therefore, in highway traffic, the noise is accompanied by the proportion of large-sized vehicle increase and rises. In addition, traffic noise is directly related to the length of the road and the amount of traffic. When the traffic volume is less than 1000 vehicles/hour, the noise is proportional to the traffic volume. The noise pollution caused by motor vehicle travel is unsteady and long term, and its damage is also large. In this chapter, the Model 4110 noise meter continuous fixed-point measurement method is used to explore the noise absorption effect of different greening modes (green belt, interchange intersection, entrance ramp area, and service area green space) on the expressway side. The measurement results showed that the green belt on the road side has obvious weakening effect on noise, and the greening of the interchangeable interchange area, the entrance ramp area, and the service area have better absorption and noise reduction effects. In short, by planting green belts on the highway, noise can be effectively attenuated.


Highway Greening mode Noise Green belt 


  1. Ahmed AA, Pradhan B (2019) Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system. Environ Monit Assess 191(3):190CrossRefGoogle Scholar
  2. Barcelo MA, Varga D, Tobias A et al (2016) Long term effects of traffic noise on mortality in the city of Barcelona, 2004–2007. Environ Res 147:193–206CrossRefGoogle Scholar
  3. Bhanap I (2013) An analysis of roadway noise at residential estates in close proximity to expressways in Singapore. Noise Health 15(64):183–189CrossRefGoogle Scholar
  4. Burns KN, Sayler SK, Neitzel RL (2019) Stress, health, noise exposures, and injuries among electronic waste recycling workers in Ghana. J Occup Med Toxicol 14:1CrossRefGoogle Scholar
  5. Cao JF, Zhu WJ, Wu XB et al (2019) An aero-acoustic noise distribution prediction methodology for offshore wind farms. Energies 12(1):18CrossRefGoogle Scholar
  6. Chen JD (1998) Greening practice and thinking of Kunqu Expressway. Yunnan Commun Sci Technol 14(2):23–25Google Scholar
  7. Di H, Liu XP, Zhang JQ et al (2018) Estimation of the quality of an urban acoustic environment based on traffic noise evaluation models. Appl Acoust 141:115–124CrossRefGoogle Scholar
  8. Engel MS, Zannin PHT (2017) Noise assessment of the area of a redesigned urban expressway based on noise measurements, noise maps and noise perception interviews. Noise Control Eng J 65(6):590–610CrossRefGoogle Scholar
  9. Foglar M, Goringer J (2013) Influence of the structural arrangement of bridges on the noise induced by traffic. Eng Struct 56:642–655CrossRefGoogle Scholar
  10. Gelb J, Apparicio P (2019) Noise exposure of cyclists in Ho Chi Minh City: a spatio-temporal analysis using non-linear models. Appl Acoust 148:332–343CrossRefGoogle Scholar
  11. He SY, Smargiassi A, Low N et al (2019) Residential noise exposure and the longitudinal risk of hospitalization for depression after pregnancy: postpartum and beyond. Environ Res 170:26–32CrossRefGoogle Scholar
  12. Hong SJ, Park SW, Lee SW (2018) Tire-pavement noise prediction using asphalt pavement texture. KSCE J Civ Eng 22(9):3358–3362CrossRefGoogle Scholar
  13. Huang BX, Pan ZK, Liu ZR et al (2017) Acoustic amenity analysis for high-rise building along urban expressway: modeling traffic noise vertical propagation using neural networks. Transp Res Part D-Transp Environ 53:63–77CrossRefGoogle Scholar
  14. Huang FJ, Hsieh CJ, Young CH et al (2018) The assessment of exposure to occupations noise and hearing loss for stoneworkers in Taiwan. Noise Health 20(95):146–151Google Scholar
  15. Institute of Botany, Jiangsu Province, Chinese Academy of Sciences (1977) Urban greening and plant protection. China Architecture and Building Press, BeijingGoogle Scholar
  16. Jensen HAR, Rasmussen B, Ekholm O (2018) Neighbour and traffic noise annoyance: a nationwide study of associated mental health and perceived stress. Eur J Pub Health 28(6):1050–1055CrossRefGoogle Scholar
  17. Jin J (2005) Highway greening and environmental protection. Liaoning For Sci Technol 2:49–50Google Scholar
  18. Min JY, Min KB (2018) Night noise exposure and risk of death by suicide in adults living in metropolitan areas. Depress Anxiety 35(9):876–883CrossRefGoogle Scholar
  19. Nassur AM, Leger D, Lefevre M et al (2019) Effects of aircraft noise exposure on heart rate during sleep in the population living near airports. Int J Environ Res Public Health 16(2):269CrossRefGoogle Scholar
  20. Oh M, Shin K, Kim K et al (2019) Influence of noise exposure on cardiocerebrovascular disease in Korea. Sci Total Environ 651:1867–1876CrossRefGoogle Scholar
  21. Paiva KM, Cardoso MRA, Zannin PHT (2019) Exposure to road traffic noise: annoyance, perception and associated factors among Brazil’s adult population. Sci Total Environ 650:978–986CrossRefGoogle Scholar
  22. Pun VC, Manjourides J, Suh HH (2019) Close proximity to roadway and urbanicity associated with mental ill-health in older adults. Sci Total Environ 658:854–860CrossRefGoogle Scholar
  23. Richburg CM, Slagley J (2019) Noise concerns of residents living in close proximity to hydraulic fracturing sites in Southwest Pennsylvania. Public Health Nurs 36(1):3–10CrossRefGoogle Scholar
  24. Saari RK, Mei YF, Monier E et al (2019) Effect of health-related uncertainty and natural variability on health impacts and cobenefits of climate policy. Environ Sci Technol 53(3):1098–1108CrossRefGoogle Scholar
  25. Sayed AA (2014) A case study of Cairo airport noise for preserving worker’s hearing in Egypt. Acta Acust United Acust 100(1):118–125CrossRefGoogle Scholar
  26. Sun BX (1983) Road greening and beautification project. China Communications Press, BeijingGoogle Scholar
  27. Swietlik R, Trojanowska M, Strzelecka M et al (2015) Fractionation and mobility of Cu, Fe, Mn, Pb and Zn in the road dust retained on noise barriers along expressway—a potential tool for determining the effects of driving conditions on speciation of emitted particulate metals. Environ Pollut 196:404–413CrossRefGoogle Scholar
  28. Teixeira LR, Azevedo TM, Bortkiewicz A et al (2019) WHO/ILO work-related burden of disease and injury: protocol for systematic reviews of exposure to occupational noise and of the effect of exposure to occupational noise on cardiovascular disease. Environ Int 125:567–578CrossRefGoogle Scholar
  29. Vienneau D, Heritier H, Foraster M et al (2019) Facades, floors and maps—influence of exposure measurement error on the association between transportation noise and myocardial infarction. Environ Int 123:399–406CrossRefGoogle Scholar
  30. Voitl P, Sebelefsky C, Mayrhofer C et al (2019) Noise levels in general pediatric facilities: a health risk for the staff? PLoS ONE 14(3):e0213722CrossRefGoogle Scholar
  31. Wallas A, Ekstrom S, Bergstrom A et al (2019) Traffic noise exposure in relation to adverse birth outcomes and body mass between birth and adolescence. Environ Res 169:362–367CrossRefGoogle Scholar
  32. Zare S, Baneshi MR, Hemmatjo R et al (2019) The effect of occupational noise exposure on serum cortisol concentration of night-shift industrial workers: a field study. Saf Health Work 10(1):109–113CrossRefGoogle Scholar
  33. Zhang PF, Yao C (1999) Analyses of environmental pollution of traffic noise along expressway and urban road. Urban Environ Urban Ecol 12(3):29–31Google Scholar
  34. Zhao HS (1989) How to green the road. China Communications Press, BeijingGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Institute of Subtropical Forestry of Chinese Academy of ForestryHangzhouChina

Personalised recommendations