Road salt emissions: A comparison of measurements and modelling using the NORTRIP road dust emission model

被引:19
|
作者
Denby, B. R. [1 ]
Ketzel, M. [2 ]
Ellermann, T. [2 ]
Stojiljkovic, A. [3 ]
Kupiainen, K. [3 ]
Niemi, J. V. [4 ]
Norman, M. [5 ]
Johansson, C. [5 ,6 ]
Gustafsson, M. [7 ]
Blomqvist, G. [7 ]
Janhall, S. [7 ]
Sundvor, I. [8 ]
机构
[1] Norwegian Meteorol Inst MET, POB 43, N-0313 Blindern, Norway
[2] Aarhus Univ, Dept Environm Sci, Roskilde, Denmark
[3] Nord Envicon Oy, Helsinki, Finland
[4] Helsinki Reg Environm Serv Author HSY, Helsinki, Finland
[5] Environm & Hlth Protect Adm City Stockholm, Stockholm, Sweden
[6] Stockholm Univ, Dept Appl Chem & Environm Sci ACES, Stockholm, Sweden
[7] Swedish Natl Rd & Transport Res Inst VTI, Linkoping, Sweden
[8] Norwegian Inst Air Res NILU, Kjeller, Norway
关键词
Road salt; Non-exhaust emissions; Air quality; Particulate matter; Modelling; SURFACE MOISTURE MODEL; SOURCE APPORTIONMENT; PARTICULATE MATTER; SWITZERLAND; PM10;
D O I
10.1016/j.atmosenv.2016.07.027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
De-icing of road surfaces is necessary in many countries during winter to improve vehicle traction. Large amounts of salt, most often sodium chloride, are applied every year. Most of this salt is removed through drainage or traffic spray processes but a certain amount may be suspended, after drying of the road surface, into the air and will contribute to the concentration of particulate matter. Though some measurements of salt concentrations are available near roads, the link between road maintenance salting activities and observed concentrations of salt in ambient air is yet to be quantified. In this study the NORTRIP road dust emission model, which estimates the emissions of both dust and salt from the road surface, is applied at five sites in four Nordic countries for ten separate winter periods where daily mean ambient air measurements of salt concentrations are available. The model is capable of reproducing many of the salt emission episodes, both in time and intensity, but also fails on other occasions. The observed mean concentration of salt in PM10, over all ten datasets, is 4.2 mu g/m(3) and the modelled mean is 2.8 mu g/m(3), giving a fractional bias of -0.38. The RMSE of the mean concentrations, over all 10 datasets, is 2.9 mu g/m(3) with an average R-2 of 0.28. The mean concentration of salt is similar to the mean exhaust contribution during the winter periods of 2.6 mu g/m(3). The contribution of salt to the kerbside winter mean PM10 concentration is estimated to increase by 4.1 +/- 3.4 mu g/m(3) for every kg/m(2) of salt applied on the road surface during the winter season. Additional sensitivity studies showed that the accurate logging of salt applications is a prerequisite for predicting salt emissions, as well as good quality data on precipitation. It also highlights the need for more simultaneous measurements of salt loading together with ambient air concentrations to help improve model parameterisations of salt and moisture removal processes. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:508 / 522
页数:15
相关论文
共 50 条
  • [21] Real-world emissions of construction mobile machines and comparison to a non-road emission model
    Tu, Ran
    Li, Tiezhu
    Meng, Chunsheng
    Chen, Jinyi
    Sheng, Zhen
    Xie, Yisong
    Xie, Fangjian
    Yang, Feng
    Chen, Haibo
    Li, Ying
    Gao, Jianbing
    Liu, Ye
    Science of the Total Environment, 2021, 771
  • [22] Estimating emissions and concentrations of road dust aerosol over China using the GEOS-Chem model
    TANG Ying-Xiao
    LIAO Hong
    FENG Jin
    AtmosphericandOceanicScienceLetters, 2017, 10 (04) : 298 - 305
  • [23] Uncertainties of modelling emissions from road transport
    Kühlwein, J
    Friedrich, R
    ATMOSPHERIC ENVIRONMENT, 2000, 34 (27) : 4603 - 4610
  • [24] Effect of vehicle characteristics on unpaved road dust emissions
    Gillies, JA
    Etyemezian, V
    Kuhns, H
    Nikolic, D
    Gillette, DA
    ATMOSPHERIC ENVIRONMENT, 2005, 39 (13) : 2341 - 2347
  • [25] Remote sensing of vehicle exhaust emissions for the on-road emission estimation and emission model evaluation
    Yu, L
    Lede, NW
    Godazi, K
    TRAFFIC AND TRANSPORTATION STUDIES, 1998, : 898 - 907
  • [26] Comparison of Methodologies for Field Application of Road Dust
    Christina L.M. Hargiss
    Kayla Graber
    Deirdre Prischmann-Voldseth
    Thomas DeSutter
    Jack Norland
    Amy Gnoinsky
    Water, Air, & Soil Pollution, 2017, 228
  • [27] Comparison of Methodologies for Field Application of Road Dust
    Hargiss, Christina L. M.
    Graber, Kayla
    Prischmann-Voldseth, Deirdre
    DeSutter, Thomas
    Norland, Jack
    Gnoinsky, Amy
    WATER AIR AND SOIL POLLUTION, 2017, 228 (06):
  • [28] Measurement of emission factor of road dust in a wind tunnel
    Chiou, SF
    Tsai, CJ
    POWDER TECHNOLOGY, 2001, 118 (1-2) : 10 - 15
  • [29] Measurement of emission factor of road dust in a wind tunnel
    Natl Chiao Tung Univ, Hsin Chu, Taiwan
    J Aerosol Sci, Suppl. 1 (S227-S228):
  • [30] OFF-ROAD VEHICLES - A COMPARISON OF EMISSIONS WITH THOSE FROM ROAD TRANSPORT
    SAMARAS, Z
    ZIEROCK, KH
    SCIENCE OF THE TOTAL ENVIRONMENT, 1995, 169 (1-3) : 249 - 255