The impact of local fugitive particulate matter and emission inventories on air quality and health in dry and arid areas

被引:3
|
作者
Hassan, Hala [1 ,2 ,3 ]
Kumar, Prashant [3 ,4 ]
Kakosimos, Konstantinos E. [1 ,2 ,5 ]
机构
[1] Texas A&M Univ Qatar, Dept Chem Engn, POB 23874, Doha, Qatar
[2] Texas A&M Univ Qatar, Mary Kay OConnor Proc Safety Ctr, POB 23874, Doha, Qatar
[3] Univ Surrey, Global Ctr Clean Air Res GCARE, Dept Civil & Environm Engn, Fac Engn & Phys Sci, Guildford GU2 7XH, Surrey, England
[4] Trinity Coll Dublin, Dept Civil Struct & Environm Engn, Sch Engn, Dublin, Ireland
[5] Ctr Res & Technol Hellas APTL CPERI CERTH, Aerosol & Particle Technol Lab, Chem Proc & Energy Resources Inst, Thessaloniki, Greece
关键词
Fugitive PM; Arid climate; Emissions modelling; CALPUFF modelling; PM mortality; ARABIAN PENINSULA; MIDDLE-EAST; METEOROLOGICAL PARAMETERS; PM2.5; PARTICLES; DUST EMISSION; ROAD DUST; POLLUTION; PM10; DESERT; MODEL;
D O I
10.1016/j.scitotenv.2022.153799
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The arid and semi-arid regions are facing a huge brunt of fugitive Particulate Matter (fPM) pollution, usually ascribed to the natural dust generated at the regional level (>100 km). In this study, the contribution of locally generated fPM to air pollution and it's environmental risk were assessed at a typical dry-arid area in the Middle East (i.e., State of Qatar, 200x200 km(2) domain) with the use of different emission and dispersion models. Four modelling scenarios were constructed to reflect standard practices (e.g., regional emission models and the World Health Organization's (WHO) Environmental Burden of Disease (EBD) method) and higher resolution calculations with emission models that were developed in past field campaigns. Emphasis was given to the effect on the WHO methodology beyond the typical emission estimates and ambient concentration levels. Eventually, the use of higher spatial resolution population and concentration data revealed fPM hot spots yielding up to 11.0 times higher short-term excess mortalities (an average increase of 1.8 times) compared to the baseline WHO methodology, where the whole population was exposed to a single average concentration. A difference that could be attributed to the improvement of the emission estimations for barren lands and traffic. For example, the estimated PM10 emission fluxes from barren lands, within the main metropolitan area, using the improved emissions model ranged from 0.05 to 42.0 mu g m(-2) s(-1), which is considerably higher than the emissions predicted using just the literature models (0.03 to 2.0 mu g m(-2) s(-1)). Overall, the barren lands emissions accounted for more than 90% of the fPM emissions during the study period. Consequently, this study is one of the first to quantify the significance of locally induced fPM and highlight the need for dedicated field studies and improved emissions estimation tools.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Emission Inventories and Particulate Matter Air Quality Modeling over the Pearl River Delta Region
    Lopes, Diogo
    Ferreira, Joana
    Hoi, Ka In
    Yuen, Ka-Veng
    Mok, Kai Meng
    Miranda, Ana I.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (08)
  • [2] Impact of Particulate Matter on Air Quality
    da Silva Brito, Gabriel Ferreira
    Sodre, Fernando Fabriz
    de Almeida, Fernanda Vasconcelos
    REVISTA VIRTUAL DE QUIMICA, 2018, 10 (05) : 1335 - 1354
  • [3] Impact of regional versus local resolution air quality modeling on particulate matter exposure health impact assessment
    Parvez, Fatema
    Wagstrom, Kristina
    AIR QUALITY ATMOSPHERE AND HEALTH, 2020, 13 (03): : 271 - 279
  • [4] Impact of regional versus local resolution air quality modeling on particulate matter exposure health impact assessment
    Fatema Parvez
    Kristina Wagstrom
    Air Quality, Atmosphere & Health, 2020, 13 : 271 - 279
  • [5] Impact of elemental composition of particulate matter in the airshed of a University Farm on the local air quality
    Fakinle, Bamidele Sunday
    Uzodinma, Odera Bassey
    Odekanle, Ebenezer Leke
    Sonibare, Jacob Ademola
    HELIYON, 2020, 6 (01)
  • [6] Measuring air particulate matter in large urban areas for health effect assessment
    Almeida, S. M.
    Farinha, M. M.
    Ventura, M. G.
    Pio, C. A.
    Freitas, M. C.
    Reis, M. A.
    Trancoso, M. A.
    WATER AIR AND SOIL POLLUTION, 2007, 179 (1-4): : 43 - 55
  • [7] Measuring air particulate matter in large urban areas for health effect assessment
    S. M. Almeida
    M. M. Farinha
    M. G. Ventura
    C. A. Pio
    M. C. Freitas
    M. A. Reis
    M. A. Trancoso
    Water, Air, and Soil Pollution, 2007, 179 : 43 - 55
  • [8] The influence of air quality model resolution on health impact assessment for fine particulate matter and its components
    Ying Li
    Daven K. Henze
    Darby Jack
    Patrick L. Kinney
    Air Quality, Atmosphere & Health, 2016, 9 : 51 - 68
  • [9] The impact of Low Emission Zones on particulate matter concentration and public health
    Malina, Christiane
    Scheffler, Frauke
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2015, 77 : 372 - 385
  • [10] The influence of air quality model resolution on health impact assessment for fine particulate matter and its components
    Li, Ying
    Henze, Daven K.
    Jack, Darby
    Kinney, Patrick L.
    AIR QUALITY ATMOSPHERE AND HEALTH, 2016, 9 (01): : 51 - 68