Assessment of air quality in the Philadelphia, Pennsylvania subway

被引:0
|
作者
Karim, Anjum Shahina [1 ]
Malone, Maeve [1 ]
Bruno, Alex [1 ]
Eggler, Aimee L. [2 ]
Posner, Michael A. [3 ]
Shakya, Kabindra M. [1 ]
机构
[1] Villanova Univ, Dept Geog & Environm, Villanova, PA 19085 USA
[2] Villanova Univ, Dept Chem, Villanova, PA USA
[3] Villanova Univ, Dept Math & Stat, Villanova, PA USA
关键词
Air Pollution; Exposure assessment; Indoor dust/house dust/dust; Inhalation Exposure; Particulate Matter; AIRBORNE PARTICULATE MATTER; BLACK CARBON; ULTRAFINE PARTICLES; EXPOSURE; POLLUTION; POLLUTANTS; PM2.5; DUST; CITY; MORTALITY;
D O I
10.1038/s41370-024-00711-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Subways are popular and efficient modes of transportation in cities. However, people are exposed to high levels of particulate matter (PM) in subways. Subway air quality in the United States has been investigated in a few cities, but data is lacking on simultaneous measurement of several pollutants, especially ultrafine particles (UFP) and black carbon (BC), in combination with different size fractions of PM. Objectives: The goals of this study are to assess air quality in a belowground subway and compare it with outdoor ambient levels, to examine temporal variability of PM in the subway, and to analyze the correlation between PM and BC. Methods: Particulate matter of varying sizes (PM1, PM2.5, PM10), UFP, and BC were measured using DustTrak, nanoparticle detector, and micro aethalometer, respectively. Measurements were made at the belowground subway platform and the aboveground street level at 15th Street subway station in Philadelphia during summer 2022. Results: Belowground mean PM1, PM2.5, and PM10 were 112.2 +/- 61.3 mu g/m(3), 120 +/- 65.5 mu g/m(3), and 182.1 +/- 132 mu g/m(3), respectively, which were 5.4, 5.7, and 7.6 times higher than the respective aboveground street levels. The UFP lung deposited surface area (LDSA) (59.4 +/- 36.2 mu m(2)/cm(3)) and BC (9.5 +/- 5.4 mu g/m(3)) belowground were 1.7 times and 10.7 times higher than the aboveground. The pollutant concentration varied from day-to-day on both the locations. A higher positive correlation was found between the belowground BC and PM2.5 (r = 0.51, p < 0.05) compared to the aboveground (r = 0.16, p < 0.05). Impact: This study showed high levels of particulate matter exposure at a belowground subway station in Philadelphia. Particulate matter levels were about 5 to 8 times higher at belowground subway station than the corresponding aboveground street level. Higher levels were also observed for UFP lung deposited surface area (LDSA), while black carbon levels showed the highest concentration at the belowground level by a factor of ten compared to the aboveground level. The study shows the need for air quality management at belowground subways to reduce particulate matter exposure for the commuters.
引用
收藏
页码:196 / 204
页数:9
相关论文
共 50 条
  • [1] Impacts of Subway System Modifications on Air Quality in Subway Platforms and Trains
    Van Ryswyk, Keith
    Kulka, Ryan
    Marro, Leonora
    Yang, Dominik
    Toma, Elton
    Mehta, Luckshya
    McNeil-Taboika, Leigh
    Evans, Greg J.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (16) : 11133 - 11143
  • [2] Air Quality Impacts of Shale Gas Development in Pennsylvania
    Zhang, Ruohao
    Li, Huan
    Khanna, Neha
    Krupnick, Alan J.
    Hill, Elaine L.
    Sullivan, Daniel M.
    JOURNAL OF THE ASSOCIATION OF ENVIRONMENTAL AND RESOURCE ECONOMISTS, 2023, 10 (02) : 447 - 486
  • [3] Characteristics of subway air quality and favorable locations for passengers waiting and taking the subway
    He, Shengquan
    Shen, Feng
    Jin, Longzhe
    Song, Dazhao
    He, Xueqiu
    Khan, Majid
    ATMOSPHERIC POLLUTION RESEARCH, 2022, 13 (07)
  • [4] Urban air quality comparison for bus, tram, subway and pedestrian commutes in Barcelona
    Moreno, Teresa
    Reche, Cristina
    Rivas, Ioar
    Cruz Minguillon, Maria
    Martins, Vania
    Vargas, Concepcion
    Buonanno, Giorgio
    Parga, Jesus
    Pandolfi, Marco
    Brines, Mariola
    Ealo, Marina
    Sofia Fonseca, Ana
    Amato, Fulvio
    Sosa, Garay
    Capdevila, Marta
    de Miguel, Eladio
    Querol, Xavier
    Gibbons, Wes
    ENVIRONMENTAL RESEARCH, 2015, 142 : 495 - 510
  • [5] Assessment of Indoor Air Quality in Schools from Anatolia, Turkey
    Babaoglu, Ulken Tunga
    Ogutcu, Hatice
    Erdogdu, Makbule
    Taskiran, Funda
    Gullu, Gulen
    Oymak, Sibel
    POLLUTION, 2022, 8 (01): : 57 - 67
  • [6] Identification of Critical Locations for Improvement of Air Quality Developing a Prioritized Clean Air Assessment Tool (PCAT)
    Dubey, Kanishtha
    Verma, Shubha
    Santra, Sauvik
    Kumar, Mukul
    URBAN SCIENCE, 2023, 7 (03)
  • [7] Improving air quality in subway systems: An overview
    Moreno, Teresa
    de Miguel, Eladio
    ENVIRONMENTAL POLLUTION, 2018, 239 : 829 - 831
  • [8] Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes
    Viana, Mar
    Karatzas, Kostas
    Arvanitis, Athanasios
    Reche, Cristina
    Escribano, Miguel
    Ibarrola-Ulzurrun, Edurne
    Adami, Paolo Emilio
    Garrandes, Frederic
    Bermon, Stephane
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (06)
  • [9] Air quality assessment in urban areas of Gipuzkoa (Spain)
    Lertxundi, Aitana
    Dolores Martinez, Maria
    Ayerdi, Mikel
    Alvarez, Jon
    Maria Ibarluzea, Jesus
    GACETA SANITARIA, 2010, 24 (03) : 187 - 192
  • [10] Ambient air quality assessment using ensemble techniques
    Narasimhan, D.
    Vanitha, M.
    SOFT COMPUTING, 2021, 25 (15) : 9943 - 9956