Evaluation Of Road Noise And Pavement Water Pollution

Traffic demands are increasing with the development of the society and that of economic activities. However, intensified traffic not only supports the development, but also leads to congestions, accidents, pollutions, and consumption of recourses. These issues are rising up due to the improved life quality, the requirement of sustainable development, and the construction of harmonious society. Of all these issues, road noise and pavement water pollution is two of the most outstanding ones. Therefore, the evaluations of road noise and that of pavement water pollution are the main focuses of this thesis.The research of the influence of pavement roughness on road noise is discussed first. The influence is measured by comparing the noises of the same vehicle, running constantly at the same speed on various roads with distinguish International Roughness Index (IRI). Results show that roughness has great impact on vehicle noise, especially for trucks. The greater the IRI, the loud the noise would be.The effect of green strip on road noise is also studied. The effects are evaluated based on the comparison of the noises measured at the different types of green strips. It turns out that green strips not only have the effect of reducing the noises passing through but also reduces noises before reaching the green strips. The study also classified 7 types of vehicles into 4 groups based on there noise. The group with highest noise is 10dB louder than the lowest one.Last but not the least, the pavement water pollution of shanghai is also measured. The content of SS, COD, Pb, TP, and TN are not qualified for the third level of "Environmental quality standards for surface water". However, the content of Zn and Cl are qualified. It is also found that COD/SS, TN/SS, and TP/SS are linearly correlated. In addition, these values are correlated with Traffic Volume per lane.