Assessment of PM10 and PM2.5 over Ghaziabad, an industrial city in the Indo-Gangetic Plain: spatio-temporal variability and associated health effects

被引:17
|
作者
Gupta, Lovleen [1 ,2 ]
Dev, Rishabh [1 ]
Zaidi, Kumail [1 ]
Sunder Raman, Ramya [1 ,3 ]
Habib, Gazala [1 ]
Ghosh, Bipasha [1 ]
机构
[1] Indian Inst Technol, Dept Civil Engn, Delhi 110016, India
[2] Delhi Technol Univ, Dept Environm Engn, Delhi 110042, India
[3] Indian Inst Sci Educ & Res, Dept Earth & Environm Sci, Bhopal Bypass Rd, Bhopal 462066, Madhya Pradesh, India
关键词
Ghaziabad; PM10; PM2.5; Concentrated weighted trajectories; PM exposure mortality; OUTDOOR AIR-POLLUTION; PARTICULATE MATTER; CHEMICAL CHARACTERISTICS; SOURCE APPORTIONMENT; PREMATURE MORTALITY; SECONDARY AEROSOL; URBAN-ENVIRONMENT; GLOBAL BURDEN; AMBIENT AIR; DELHI;
D O I
10.1007/s10661-021-09411-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study examined the PM10 and PM2.5 concentration, associated mortality, and transport pathways in Ghaziabad which is an industrial city in the Indo-Gangetic Plain. To achieve this, PM (both PM10 and PM2.5) and meteorological parameters were measured from June 2018 to May 2019 at 2 locations and analyzed together with data from a 3rd location in Ghaziabad. The highest daily average PM10 and PM2.5 concentrations were similar to 1000 mu g m(-3) and similar to 450 mu g m(-3), respectively. At each of the three locations, the annual mean PM10 concentrations were similar to 260 +/- 150 mu g m(-3) while the PM2.5 concentrations were 140 +/- 90 mu g m(-3). Nonparametric Spearman rank correlation analysis between meteorological parameters and PM concentrations indicated that ventilation coefficient was anti-correlated with PM concentration during the post-monsoon and winter seasons (the most polluted seasons) with rank correlation values of approximately - 0.50. Multiple linear regression (MLR) revealed that the variability in local meteorological parameters account for similar to 50% variability (maximum) in PM10 mass during the monsoon and PM2.5 during the post-monsoon season. For long-range sources, cluster and concentrated weighted trajectory (CWT) analyses utilizing regional meteorology showed the impact of transported PM from sources in Arabian sea through western India in monsoon and from parts of South Asia through Northwestern IGP and neighboring cities in Uttar Pradesh in other seasons. Finally, mortality estimates show that the number of deaths attributable to ambient PM2.5 in Ghaziabad were similar to 873 per million individuals which was similar to 70% higher than Delhi.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Origin and variability of particulate matter (PM10 and PM2.5) mass concentrations over an Eastern Mediterranean city
    Saliba, N. A.
    El Jam, F.
    El Tayar, G.
    Obeid, W.
    Roumie, M.
    ATMOSPHERIC RESEARCH, 2010, 97 (1-2) : 106 - 114
  • [42] Assessment of Air Pollution by PM10 and PM2.5 in Nawabshah City, Sindh, Pakistan
    Siyal, Asif Ali
    Samo, Saleem Raza
    Siyal, Zafar Ali
    Mukwana, Kishan Chand
    Jiskani, Shakeel Ahmed
    Mengal, Abdullah
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (01) : 3757 - 3761
  • [43] SPATIO-TEMPORAL ANALYSIS OF PM2.5 OVER MARMARA REGION, TURKEY
    Kahya, Ceyhan
    Balcik, Filiz Bektas
    Oztaner, Yasar Burak
    Ozcomak, Duygu
    Seker, Dursun Zafer
    FRESENIUS ENVIRONMENTAL BULLETIN, 2017, 26 (01): : 310 - 317
  • [44] The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia
    Alifa, M.
    Bolster, D.
    Mead, M. I.
    Latif, M. T.
    Crippa, P.
    ATMOSPHERIC RESEARCH, 2020, 246
  • [45] Estimation of Particulate Matter (PM10) Over Middle Indo-Gangetic Plain (Patna) of India: Seasonal Variation and Source Apportionment
    Devi, Ningombam Linthoingambi
    Yadav, Ishwar Chandra
    Kumar, Amrendra
    ATMOSPHERE, 2024, 15 (08)
  • [46] Spatio-temporal variation of ambient particulate matter (PM10 and PM2.5) in Punjab: role of stubble burning and meteorological factors
    Asif, Mohammad
    Bhatti, Manpreet Singh
    Prabhu, Vignesh
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2025, 11 (01)
  • [47] Spatio-Temporal Distribution of Particulate Matter (PM10 and PM2.5) Concentrations in Urban Subway Station - A Case of Nanning in China
    Wu, Fenghong
    Chi, Yan
    Zhou, Feng
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2022, 31 (06): : 5895 - 5903
  • [48] Estimating daily and intra-daily PM10 and PM2.5 in Israel using a spatio-temporal hybrid modeling approach
    Shtein, Alexandra
    Karnieli, Arnon
    Katra, Itzhak
    Raz, Raanan
    Levy, Ilan
    Lyapustin, Alexei
    Dorman, Michael
    Broday, David M.
    Kloog, Itai
    ATMOSPHERIC ENVIRONMENT, 2018, 191 : 142 - 152
  • [49] PM2.5, EC and OC in atmospheric outflow from the Indo-Gangetic Plain: Temporal variability and aerosol organic carbon-to-organic mass conversion factor
    Srinivas, Bikkina
    Sarin, M. M.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 487 : 196 - +
  • [50] PM10, PM2.5, AND PM1 CONCENTRATIONS AND HEALTH EFFECTS IN TEXTILE FACTORIES
    Arslan, Selcuk
    Aybek, Ali
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (12A): : 8902 - 8916