Variation of PM2.5 and inhalation dose across transport microenvironments in Delhi

被引:9
作者
Singh, Vikram [1 ]
Agarwal, Amit [1 ]
机构
[1] Indian Inst Technol, Dept Civil Engn, Roorkee 247667, India
关键词
Air pollution exposure; Travel modes; Variability; Inhalation dose; FINE PARTICULATE MATTER; AIR-POLLUTION; EXPOSURE CONCENTRATIONS; PERSONAL EXPOSURE; COMMUTERS EXPOSURE; BLACK CARBON; IN-VEHICLE; ULTRAFINE PARTICLES; TRAVEL MODE; POLLUTANTS;
D O I
10.1016/j.trd.2024.104061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Travelers are exposed to higher levels of Particulate Matter (PM). The present study investigates variability in exposure to PM2.5 for eight transport microenvironments. Data was collected during three time periods for seven days in Delhi, India. The mean PM2.5 concentrations are the highest for bicycle (59.80 mu g/m3), metro (55.75 mu g/m3), and lowest for AC -bus (40.82 mu g/m3) and AC -car (40.17 mu g/m3). Concentrations for all modes gradually increase from Thursday to Saturday. Most of the modes attain the highest values on a weekend day and the lowest value on Sunday due to higher wind speeds. Interestingly, the morning peak has the highest exposure and inhalation dose intake. The inhaled dose is highest for bicycle mode and lowest for AC -bus and AC -car. Higher inhalation doses may pose serious health issues to active -mode travelers. These findings can serve as practical guidelines for travelers and policymakers seeking to decrease exposure and reduce health burdens.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China
    Wu, Jiansheng
    Li, Jiacheng
    Peng, Jian
    Li, Weifeng
    Xu, Guang
    Dong, Chengcheng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2015, 22 (09) : 7045 - 7061
  • [22] PM2.5 Population Exposure in New Delhi Using a Probabilistic Simulation Framework
    Saraswat, Arvind
    Kandlikar, Milind
    Brauer, Michael
    Srivastava, Arun
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2016, 50 (06) : 3174 - 3183
  • [23] Spatial patterns of the diurnal variations of PM2.5 and their influencing factors across China
    Liu, Junli
    Wang, Siyuan
    Zhu, Kemin
    Hu, Jinghao
    Li, Runkui
    Song, Xianfeng
    ATMOSPHERIC ENVIRONMENT, 2024, 318
  • [24] Vertical Variation of Carbonaceous Aerosols within the PM2.5 Fraction in Bangkok, Thailand
    Choomanee, Parkpoom
    Bualert, Surat
    Thongyen, Thunyapat
    Salao, Supannika
    Szymansk, Wladyslaw W.
    Rungratanaubon, Thitima
    AEROSOL AND AIR QUALITY RESEARCH, 2020, 20 (01) : 43 - 52
  • [25] Local variation of PM2.5 and NO2 concentrations within metropolitan Beijing
    Xu, Meimei
    Sbihi, Hind
    Pan, Xiaochuan
    Brauer, Michael
    ATMOSPHERIC ENVIRONMENT, 2019, 200 : 254 - 263
  • [26] Spatial variation in diesel-related elemental and organic PM2.5 components during workweek hours across a downtown core
    Tunno, Brett J.
    Shmool, Jessie L. C.
    Michanowicz, Drew R.
    Tripathy, Sheila
    Chubb, Lauren G.
    Kinnee, Ellen
    Cambal, Leah
    Roper, Courtney
    Clougherty, Jane E.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 573 : 27 - 38
  • [27] Seasonal Variation in the Chemical Composition and Oxidative Potential of PM2.5
    Vinson, Alex
    Sidwell, Allie
    Black, Oscar
    Roper, Courtney
    ATMOSPHERE, 2020, 11 (10)
  • [28] Histopathological Evaluation of the Cerebrum in Neonatal Rats Following PM2.5 Particle Inhalation
    Momayez Sefat, Maryam
    Mortazavi, Pejman
    Motesaddi Zarandi, Saeed
    Eidi, Akram
    WATER AIR AND SOIL POLLUTION, 2023, 234 (12)
  • [29] Seasonal variation of carbonaceous PM2.5 in an Istanbul traffic site
    Flores, Rosa M.
    Ozdemir, Hueseyin
    Akkoyunlu, Bulent O.
    Unal, Alper
    Tayanc, Mete
    ATMOSPHERIC POLLUTION RESEARCH, 2020, 11 (12) : 2110 - 2118
  • [30] Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season
    Mogno, Caterina
    Palmer, Paul I.
    Marvin, Margaret R.
    Sharma, Sumit
    Chen, Ying
    Wild, Oliver
    ATMOSPHERIC ENVIRONMENT-X, 2023, 17