4.5 Review

Review of Road Dust Resuspension Modelling Approaches and Comparisons Analysis for a UK Case Study

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

PM10 and PM2.5 emission factors for non-exhaust particles from road vehicles: Dependence upon vehicle mass and implications for battery electric vehicles

David C. S. Beddows et al.

Summary: This paper examines the relationship between vehicle weight and PM10 and PM2.5 emissions from electric vehicles and traditional internal combustion engine vehicles. The outcome is dependent on the use of regenerative braking in electric vehicles relative to friction braking. Overall, there will be modest changes to the total local emissions of particles from a passenger car built to current emissions standards.

ATMOSPHERIC ENVIRONMENT (2021)

Article Environmental Sciences

Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review

Roy M. Harrison et al.

ATMOSPHERIC ENVIRONMENT (2021)

Review Meteorology & Atmospheric Sciences

Road dust resuspension: A review

Ismael Casotti Rienda et al.

Summary: The article discusses different methodologies for collecting road dust and examines the sources and chemical composition of road dust, as well as provides easily applicable indexes to quantify pollution levels. Research on emission factors and physicochemical profiles is crucial for policymakers to more accurately include this specific nonexhaust category in emission inventories, receptor modeling, and health protection programs.

ATMOSPHERIC RESEARCH (2021)

Article Computer Science, Interdisciplinary Applications

SHERPA-city: A web application to assess the impact of traffic measures on NO2 pollution in cities

B. Degraeuwe et al.

Summary: SHERPA-City is a web application developed by the Joint Research Centre to assess the potential of traffic measures to reduce NO2 air pollution in cities. It allows users to quickly screen possible measures and substitute default data with local data for better accuracy. Decisions should ideally be based on full-scale modeling studies with local knowledge.

ENVIRONMENTAL MODELLING & SOFTWARE (2021)

Article Geosciences, Multidisciplinary

HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework - Part 2: The bottom-up module

Marc Guevara et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2020)

Review Environmental Sciences

Re-suspension of road dust: contribution, assessment and control through dust suppressantsa review

S. Gulia et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2019)

Article Environmental Sciences

High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets

Daoyuan Yang et al.

ATMOSPHERIC CHEMISTRY AND PHYSICS (2019)

Article Computer Science, Interdisciplinary Applications

Development and evaluation of the RapidAir((R)) dispersion model, including the use of geospatial surrogates to represent street canyon effects

Nicola Masey et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2018)

Article Environmental Sciences

An empirical model to predict road dust emissions based on pavement and traffic characteristics

Elio Padoan et al.

ENVIRONMENTAL POLLUTION (2018)

Article Environmental Studies

Intercomparison of three modeling approaches for traffic-related road dust resuspension using two experimental data

Laetitia Thouron et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2018)

Article Environmental Sciences

Traffic induced particle resuspension in Paris: Emission factors and source contributions

F. Amato et al.

ATMOSPHERIC ENVIRONMENT (2016)

Article Environmental Sciences

Implementation of road dust resuspension in air quality simulations of particulate matter in Madrid (Spain)

David de la Paz et al.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2015)

Article Environmental Sciences

Influence of pavement macrotexture on PM10 emissions from paved roads: A controlled study

Swarup China et al.

ATMOSPHERIC ENVIRONMENT (2012)

Article Environmental Sciences

Effect of rain events on the mobility of road dust load in two Dutch and Spanish roads

Fulvio Amato et al.

ATMOSPHERIC ENVIRONMENT (2012)

Article Environmental Sciences

Emission factors from road dust resuspension in a Mediterranean freeway

F. Amato et al.

ATMOSPHERIC ENVIRONMENT (2012)

Article Computer Science, Interdisciplinary Applications

openair - An R package for air quality data analysis

David C. Carslaw et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2012)

Article Environmental Sciences

Sources and variability of inhalable road dust particles in three European cities

F. Amato et al.

ATMOSPHERIC ENVIRONMENT (2011)

Article Environmental Sciences

Evaluation of a road dust suspension model for predicting the concentrations of PM10 in a street canyon

M. Kauhaniemi et al.

ATMOSPHERIC ENVIRONMENT (2011)

Article Environmental Sciences

Estimation of particle resuspension source strength on a major London Road

Alistair J. Thorpe et al.

ATMOSPHERIC ENVIRONMENT (2007)

Article Environmental Sciences

Characterisation of traffic-generated particulate matter in Copenhagen

P Wåhlin et al.

ATMOSPHERIC ENVIRONMENT (2006)