Abstract

The establishment of a non-road construction machinery emission inventory forms the basis for the analysis of pollutant emission characteristics and for the formulation of control policy. We analyzed and investigated data on populations, emission factors, and activity levels for the construction machinery in Tianjin to estimate an emission inventory. Finally, a variety of emission reduction scenarios were used to simulate emission reductions and propose the most effective control policy. The results show that total emissions of CO, HC, NOx, PM10, and PM2.5 from non-road construction machinery in Tianjin of 2018 reached 4180.78, 951.44, 5833.85, 383.92, and 365.70 t, respectively. Forklifts, excavators, and loaders were the three most important emission sources in Tianjin. There are clear differences in the emissions of different districts. Large machinery emissions were mainly distributed across the Binhai New Area, which includes high volumes of port machinery and tractors in Tianjin Port. Based on various emission reduction scenarios, the effect of emission reductions is estimated. The IAD affected the reduction of CO and HC emissions with RR values of 17.6% and 17.3%, respectively, while EMO affected the mitigation of PM10 and PM2.5 emissions and RR values by 18.0% and 18.4%, respectively. The emission reduction control policy for non-road construction machinery is proposed, including the accelerated updating of non-road machinery emission standards; integrating diesel engine research and development institutions to accelerate the development of vehicle after-treatment technology; and establishing a cooperation mechanism for scientific research institutes, government departments, and enterprises in the control of non-road mobile machinery emissions.

Highlights

  • With continuous improvements in the control of motor vehicle emissions, pollution from non-road mobile machinery has become increasingly prominent

  • The results showed that CO and VOCs emitted from agricultural machinery accounted for 88% and 77%, respectively

  • The results showed that CO, NOx, HC and PM from agricultural machinery decreased by 63.11%, 72.07%, 62.93% and 74.67% from 2006 to 2016

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Summary

Introduction

With continuous improvements in the control of motor vehicle emissions, pollution from non-road mobile machinery has become increasingly prominent. At the end of the 20th century, the European Union developed an air pollution emission inventory of non-road mobile source. Whereas the above non-road mobile source emission studies on BTH focus on agricultural machinery, there have been no evaluations of the effects of construction machinery emissions and control policies in BTH. To fill this gap, we measured the spatial distribution of non-road construction machinery in Tianjin through surveys and compiled the non-road mobile construction machinery emission inventory of Tianjin in accordance with the methods of the emission inventory guidelines. Emission reduction scenarios were tested to assess the effects of different policies and to provide a basis from which government managers can formulate pollution control policies in the future

Estimating emissions methods
Construction machinery population
Emission factors and activity data
Uncertainty calculation
Scenario analysis for emission reduction
Quality Assurance and Quality Control
Emission inventory of non-road construction machinery
Emissions under different reduction scenarios
Uncertainty analysis
Control policy
Conclusion
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