Road dust emission inventory for the metropolitan area of Shanghai City

Xueli, Ji; Da-he, Jiang; Simei, Fei; Yuan, Hui; He, Pinjing; Ye, Boming; Zhongliang, Lei; Chang, Feng

doi:10.1016/0960-1686(93)90237-s

Cited by 11 publications

(3 citation statements)

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“…Since emissions from roadways cannot, by their nature, be measured directly, they must be calculated from the characteristics of a line source plume. This has been done using dispersion modeling [3][4][5], receptor modeling [6] a combination of dispersion and receptor modeling [7,8], tracer studies [9][10][11], measuring the flux of PM 10 through a horizontal plane downwind of the source [12][13][14][15][16][17] and measurement of PM 10 concentrations near the wheel or in the wake of a vehicle [18][19][20][21][22]. Using flux measurements the U.S. Environmental Protection Agency (EPA) in document AP-42 has derived empirical equations for estimating particulate emissions from both paved and unpaved roads using metrics such as surface silt and moisture content, mean vehicle weight, and mean speed [23,24].…”

Section: Introductionmentioning

confidence: 99%

SCAMPER Monitoring Platform to Measure PM10 Emission Rates from Unpaved Roads in Real-Time

Fitz¹,

Bumiller²

2021

Atmosphere

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The SCAMPER method for measuring PM10 emission rates from roadways was used to evaluate mitigation methods for public unpaved roads and a treated mine haul road. The SCAMPER method uses a small trailer to measure PM10 concentrations behind a vehicle at a point that is representative of the mean PM10 concentration in the vehicle’s wake. This concentration multiplied by the frontal area has been shown to be a reasonable estimate of the emission rate in units of grams per meter traveled. On public roads it was towed by a 2006 Ford Expedition and on a mine haul road it was towed behind both the Expedition and an earth mover weighing over 150 tons fully loaded. Since the SCAMPER is capable of measuring emission rates on both paved and unpaved roadways, a direct comparison of the effectiveness of mitigation methods with respect to a similar paved road was possible.

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Section: Introductionmentioning

confidence: 99%

SCAMPER Monitoring Platform to Measure PM10 Emission Rates from Unpaved Roads in Real-Time

Fitz¹,

Bumiller²

2021

Atmosphere

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“…Measurement of emission rates from fugitive sources such as PM from vehicles on roadways cannot be measured directly, but must be estimated. This has been done using dispersion modeling [5][6][7], receptor modeling [8] a combination of dispersion and receptor modeling [9,10], tracer studies [11][12][13], and measuring the flux of PM 10 through a horizontal plane downwind of the source [14][15][16][17]. All of these methods require significant resources to characterize the emissions from actual roadways for inventory development in addition to presenting large uncertainties in the results.…”

Section: Introductionmentioning

confidence: 99%

Characterization of PM10 Emission Rates from Roadways in a Metropolitan Area Using the SCAMPER Mobile Monitoring Approach

Fitz

Bumiller

2021

Atmosphere

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The SCAMPER mobile system for measuring PM10 emission rates from paved roads was used to characterize emission rates from a wide variety of roads in the Phoenix, AZ metropolitan area. Week-long sampling episodes were conducted in March, June, September, and December. A 180 km-long route was utilized and traveled a total of 18 times. PM10 emission rate measurements were made at 5-second resolution for over 3200 km of roads with a precision of approximately 25%. The PM10 emission rates varied by over two orders of magnitude and were generally low unless the road was impacted with dust deposited by activities such as construction, sand and gravel operations, agriculture, and vehicles traveling on or near unpaved shoulders and roads. The data were tabulated into averages for each of 67 segments that the route was divided into. The segment-averaged PM10 emission rates ranged from zero to 2 mg m−1, with an average of 0.079 mg m−1. There was no significant difference in emission rates between seasons. There was a major drop in emission rates over a weekend, when dust generation activities such as construction are expected to be much reduced. By Monday, the PM10 emission rates had risen to the levels of the previous Friday. This indicates that roads quickly reach an equilibrium PM10 generating potential.

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“…These statistics demonstrated the substantial role played by mobile sources in PM emission. Vegetation greenbelts have been shown to effectively block dust, and filter suspended particles in urban areas (Bernatzky, 1982; Tong, 1991; Xueli et al , 1993). Dust deposition/capture capacity of different plants species has been investigated in urban areas and the vicinity of large industrial plants in India (Indian Central Pollution Control Board, 2007).…”

Section: Introductionmentioning

confidence: 99%

Carbon sequestration and foliar dust retention by woody plants in the greenbelts along two major Taiwan highways

Wang

2011

Annals of Applied Biology

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Anthropogenic emissions of greenhouse gases and particulate matter have caused continued environmental concerns at both local and global scales. Greenbelts along highways have been implemented to aid in the uptake of emissions along transport sectors. The present study evaluated the capabilities of carbon sequestration and foliar dust retention in 88 woody tree species, and 1520 individuals in the greenbelts along Taiwan National Highways no. 1 and no. 3. More than 2.2 and 1.7 million average annual vehicle passages were respectively recorded for the two highways. Among species, Bischofia javanica, Acacia confusa, Swietenia macrophylla and Alstonia scholaris exhibited optimal carbon sequestration capabilities in trunks and branches, with respective carbon storage levels of 175, 105, 23.8 and 15 kg per plant. Results showed a respective estimated 19.9 and 12.3 thousand tons of carbon sequestrated by trunks and branches in greenbelts of Highways no. 1 and no. 3, respectively. The foliar dust retention capabilities of Ac. confusa and Casuarina equisetifolia were the highest in the two greenbelts, with respective foliar dust retentions of 564.9 and 60.3 g per plant. The leaves in the two greenbelts retained an estimated 47.9 and 17.3 t of foliar dust for Highways no. 1 and no. 3, respectively. The present study demonstrated that woody plant species in greenbelts exhibit a substantial contribution to carbon sequestration and foliar dust retention for two heavily used highways in Taiwan.

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Road dust emission inventory for the metropolitan area of Shanghai City

Cited by 11 publications

References 0 publications

SCAMPER Monitoring Platform to Measure PM10 Emission Rates from Unpaved Roads in Real-Time

SCAMPER Monitoring Platform to Measure PM10 Emission Rates from Unpaved Roads in Real-Time

Characterization of PM10 Emission Rates from Roadways in a Metropolitan Area Using the SCAMPER Mobile Monitoring Approach

Carbon sequestration and foliar dust retention by woody plants in the greenbelts along two major Taiwan highways

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