Temporal-spatial distributions of road silt loadings and fugitive road dust emissions in Beijing from 2019 to 2020.

Road silt loading (sL) is an important parameter in the fugitive road dust (FRD) emissions. In this study, the improved Testing Re-entrained Aerosol Kinetic Emissions from Roads (TRAKER) combined with the AP-42 method was firstly developed to quickly measure and estimate the sLs of paved roads in Beijing, China. The annual average sLs in Beijing was 0.

Air pollutant emissions from the asphalt industry in Beijing, China.

Improving our understanding of air pollutant emissions from the asphalt industry is critical for the development and implementation of pollution control policies. In this study, the spatial distribution of potential maximum emissions of volatile organic compounds (VOCs) in the complete life cycle of asphalt mixtures, as well as the particulate matter (PM), asphalt fume, nonmethane hydrocarbons (NMHCs), VOCs, and benzoapyrene (BaP) emissions from typical processes (e.g.

[Emission Factors and Emission Inventory of Agricultural Machinery in Beijing Under Real-world Operation].

This study aimed to establish the emission factors and the emission inventory of agricultural machinery in Beijing in 2017 under real-world operation. The emissions of typical harvesters, tractors, agricultural transport vehicles, and farm construction machinery under real-world operation were tested by a portable emission measurement system. The results showed that different operation modes have a greater impact on the tailpipe emissions of agricultural machinery.

[Methods and Application of Road Fugitive Dust Emission Factor Localization].

Size distribution and emission factors are the basic information used in emission characteristic studies and emission inventory establishment. The silt loadings of typical roads in the Tongzhou district of Beijing were sampled and tested. A particulate matter resuspension and measurement system and a particle size spectrometer were used to measure the size distribution and particle size multiplier of the fugitive road dust in this study.

[Motor Vehicle Pollution Control Scenarios of Beijing Subsidiary Administrative Center Based on Road Traffic Flow].

In this study, the scenario analysis method was used to establish motor vehicle exhaust emission inventories based on road-traffic-flow information of the Beijing subsidiary administrative center under different scenarios, with a base year of 2015. The pollutant emissions in 2020 and 2025 were forecast by calculating the motor vehicle pollutant emission inventories of future road-traffic-flow information and various scenarios. The results showed that the kilometers travelled via motor vehicles and the road network density of the Beijing subsidiary administrative center both will increase continuously over the next 10 years.

[Methods for Determining and Applications of High-Resolution Vehicle Emission Inventory at County Scale].

This study proposes a method for high-resolution vehicle emission inventories at county scale based on field investigations and Google Earth satellite images, using the Tongzhou district of Beijing as an example for data analysis. VKT and the corresponding emissions of each pollutant were calculated using the number of registered vehicles and the real-time traffic volumes, respectively. The results showed that the mileage calculated based on the method using registered vehicles is about 37% less than that based on real-time traffic volumes, with the latter method providing data closer to the actual situation.

[Evaluation on the Effectiveness of Vehicle Exhaust Emission Control Measures During the APEC Conference in Beijing].

Vehicle emission is one of the primary factors affecting the quality of atmospheric environment in Beijing. In order to improve the air quality during APEC conference, strict control measures including vehicle emission control were taken in Beijing during APEC meeting. Based on the activity level data of traffic volume, vehicle speed and vehicle types, the inventory of motor vehicle emissions in Beijing was developed following bottom-up methodology to assess the effectiveness of the control measures.

[Emission Characteristics of Vehicle Exhaust in Beijing Based on Actual Traffic Flow Information].

The basic data of traffic volume, vehicle type constitute and speed on road networks in Beijing was obtained fly modei simulation and field survey. Based on actual traffic flow information and. emission factors data with temporal and spatial distribution features, emission inventory of motor vehicle exhaust in Beijing was built on the ArcGIS platform, meanwhile, the actual road emission characteristics and spatial distribution of the pollutant emissions were analyzed.

[Emission Factors of Vehicle Exhaust in Beijing].

Based on the investigation of basic data such as vehicle type composition, driving conditions, ambient temperature and oil quality, etc., emission factors of vehicle exhaust pollutants including carbon monoxide (CO), nitrogen oxides (NOx), hydrocarbons (HC) and particulate matter(PM) were calculated using COPERT IV model. Emission factors of typical gasoline passenger cars and diesel trucks were measured using on-board measurement system on actual road.

A new approach to developing a fugitive road dust emission inventory and emission trend from 2006 to 2010 in the beijing metropolitan area, china.

The USEPA emission factor (AP-42) of fugitive road dust (FRD) is widely used in establishing emission inventories. However, road silt loading sampling for AP-42 is expensive, time consuming, and dangerous. Therefore, a new method for establishing emission inventories based on road dust-fall (DF) monitors is described.

[Influence of traffic restriction on road and construction fugitive dust].

By monitoring the road and construction dust fall continuously during the "Good Luck Beijing" sport events, the reduction of road and construction dust fall caused by traffic restriction was studied. The contribution rate of road and construction dust to particulate matter of Beijing atmosphere environment, and the emission ratio of it to total local PM10 emission were analyzed. The results show that the traffic restriction reduces road and construction dust fall significantly.

[Relationship between wind velocity and PM10 concentration & emission flux of fugitive dust source].

In the emission factor models of man-made fugitive dust, the wind velocity parameter has little been accounted for. PM10 concentration and wind velocity were measured near a unpaved road and in a construction site. PM10 emission flux was calculated using the measured data.

[Characteristics of fugitive dust emission from paved road near construction activities].

Because of the mud/dirt carryout from construction activities, the silt loading of paved road nearby is higher and the fugitive dust emission is stronger. By sampling and laboratory analysis of the road surface dust samples, we obtain the silt loading (mass of material equal to or less than 75 micromaters in physical diameter per unit area of travel surface) of paved roads near construction activities. The result show that silt loading of road near construction activities is higher than "normal road", and silt loading is negatively correlated with length from construction's door.

[Emission characteristics of paved roads fugitive dust in Beijing].

Based on sampling and laboratory analyzing silt loading of 82 city roads and 56 suburb paved roads in Beijing, we using AP-42 emission factor model studied emission characteristics of paved road fugitive dust, and analyzed two methods to determine silt loading of different roads. The results show that silt loading of expressway, major arterial, minor arterial and collectors in city areas is 0.17, 0.