Spatio-temporal variation of ambient particulate matter (PM10 and PM2.5) in Punjab: role of stubble burning and meteorological factors

被引:0
|
作者
Asif, Mohammad [1 ]
Bhatti, Manpreet Singh [1 ]
Prabhu, Vignesh [2 ]
机构
[1] Guru Nanak Dev Univ, Dept Bot & Environm Sci, Amritsar, India
[2] Univ Galway, Ryan Inst Ctr Climate & Air Pollut Studies, Sch Nat Sci, Galway, Ireland
关键词
Ambient air quality; Crop residue burning; PM10; PM2.5; Inverse distance weighting (IDW); Planetary boundary layer height (PBLH); Multiple linear regression (MLR); Concentration weighted trajectory (CWT); AIR-POLLUTION; POLLUTANTS; WINTER; CITY;
D O I
10.1007/s40808-024-02234-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Crop residue burning is a major source of air pollution, releasing large amounts of particulate matter and greenhouse gases, worsening air quality. The impact of rice crop residue burning and meteorology conditions were examined on spatial and temporal variation of particulate matter during pre-stubble burning, stubble burning and post stubble burning periods over the state of Punjab. PM2.5 levels were below national ambient air quality standards (NAAQS) during pre-stubble burning but increased significantly during the stubble burning period exceeding NAAQS of 60 mu g/m(3). Percentage change shows that PM2.5 increase of (252%) was maximum at Bathinda and minimal for Mandi-Gobindgarh (92%) during stubble burning compared to the pre-stubble burning period. Similarly, PM10 shows a percentage increase of 62-115%. PM2.5/PM10 ratio differed significantly between low stubble burning period (0.38) as compared to high stubble-burning period (0.57). Spatiotemporal variation showed Bathinda with maximum PM2.5 concentration was hotspot during stubble burning period out of seven major cities of Punjab. Spatial distribution maps using inverse distance weighting analysis showed significantly higher RMSE during stubble burning period. Multiple linear regression analysis gave significant (p <= 0.05) relationship between planetary boundary layer height and temperature with PM2.5 during October-December 2023 period as most significant meteorological parameters associated with accumulation of particulate of particulate matter in the ambient air.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Spatio-temporal Variation of Meteorological Influence on PM2.5 and PM10 over Major Urban Cities of Bangladesh
    Islam, Nafisa
    Toha, Tarik Reza
    Islam, Mohammad Maksimul
    Ahmed, Tanvir
    AEROSOL AND AIR QUALITY RESEARCH, 2023, 23 (01)
  • [2] Characteristics of PM2.5 and PM10 Spatio-Temporal Distribution and Influencing Meteorological Conditions in Beijing
    Xing, Qiaofeng
    Sun, Meiping
    ATMOSPHERE, 2022, 13 (07)
  • [3] Spatio-Temporal Variation in the Concentration of Inhalable Particulate Matter (PM10) in Uganda
    Onyango, Silver
    Parks, Beth
    Anguma, Simon
    Meng, Qingyu
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (10)
  • [4] 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
  • [5] Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy)
    Marcazzan, GM
    Vaccaro, S
    Valli, G
    Vecchi, R
    ATMOSPHERIC ENVIRONMENT, 2001, 35 (27) : 4639 - 4650
  • [6] Spatio-Temporal Variation of Particulate Matter (PM10) During High Particulate Event (HPE) in Malaysia
    Ridzuan, Nursyaida Amila Mohammad
    Noor, Norazian Mohamed
    Rahim, Nur Alis Addiena A.
    Jafri, Izzati Amani Mohd
    Gyeorgy, Deak
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON GREEN ENVIRONMENTAL ENGINEERING AND TECHNOLOGY (ICONGEET 2021), 2022, 214 : 39 - 50
  • [7] Spatio-Temporal Variation of Particulate Matter (PM10) During High Particulate Event (HPE) in Malaysia
    Ridzuan, Nursyaida Amila Mohammad
    Noor, Norazian Mohamed
    Rahim, Nur Alis Addiena A.
    Jafri, Izzati Amani Mohd
    Gyeorgy, Deak
    Lecture Notes in Civil Engineering, 2022, 214 : 39 - 50
  • [8] Spatial and seasonal variation of particulate matter (PM10 and PM2.5) in Middle Eastern classrooms
    Elbayoumi, Maher
    Ramli, Nor Azam
    Yusof, Noor Faizah Fitri Md
    Al Madhoun, Wesam
    ATMOSPHERIC ENVIRONMENT, 2013, 80 : 389 - 397
  • [9] Particulate matter in California:: Part 2 -: Spatial, temporal, and compositional patterns of PM2.5, PM10-2.5, and PM10
    Motallebi, N
    Taylor, CA
    Croes, BE
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2003, 53 (12): : 1517 - 1530
  • [10] Ambient air particulate matter PM10 and PM2.5: developments in European measurement methods and legislation
    Quincey, Paul
    Butterfield, David
    BIOMARKERS, 2009, 14 : 34 - 38