Spatio-temporal health benefits attributable to PM2.5 reduction in an Indian city

被引:4
|
作者
Manojkumar, N. [1 ]
Srimuruganandam, B. [1 ]
机构
[1] Vellore Inst Technol, Sch Civil Engn, Vellore 632014, Tamil Nadu, India
关键词
Air Pollution; Particulate matter; BenMAP-CE; AirQ plus; Vellore; LONG-TERM EXPOSURE; AIR-POLLUTION CONTROL; RISK-ASSESSMENT; GLOBAL BURDEN; MORTALITY; DISEASE; POLLUTANTS;
D O I
10.1080/09603123.2022.2040959
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Fine particulate matter (PM2.5) is linked with a wide spectrum of human health effects and has the highest contribution to total air pollution mortality. This study aims to quantify health benefits of reducing PM2.5 concentration to World Health Organization standard (annual mean = 10 mu g m(-3)) for various health endpoints during 2011-2019 period using AirQ+ and BenMAP-CE software packages. Intraurban assessment in Vellore city, India was done by estimating health benefits at ward level. Both software packages estimated annual average all-cause, ischemic heart disease, stroke, and chronic obstructive pulmonary disease health benefits in the range of 919-945, 175-234, 70-152, and 99-175 cases at city level and 15-16, 3-4, 1-3, and 2-3 cases at ward level, respectively. Sensitivity analysis showed that relative risk had a large influence on health benefit estimates. Present study results will play a crucial role in the future air quality and public health policies of Vellore city.
引用
收藏
页码:552 / 562
页数:11
相关论文
共 50 条
  • [21] Spatio-Temporal Variation of PM2.5 Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China
    Lin, Gang
    Fu, Jingying
    Jiang, Dong
    Hu, Wensheng
    Dong, Donglin
    Huang, Yaohuan
    Zhao, Mingdong
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2014, 11 (01) : 173 - 186
  • [22] Characteristics of PM2.5 and PM10 Spatio-Temporal Distribution and Influencing Meteorological Conditions in Beijing
    Xing, Qiaofeng
    Sun, Meiping
    [J]. ATMOSPHERE, 2022, 13 (07)
  • [23] Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015
    Zhou Liang
    Zhou Chenghu
    Yang Fan
    Che Lei
    Wang Bo
    Sun Dongqi
    [J]. JOURNAL OF GEOGRAPHICAL SCIENCES, 2019, 29 (02) : 253 - 270
  • [24] Simulating spatio-temporal dynamics of surface PM2.5 emitted from Alaskan wildfires
    Chen, Dong
    Billmire, Michael
    Loughner, Christopher P.
    Bredder, Allison
    French, Nancy H. F.
    Kim, Hyun Cheol
    Loboda, Tatiana, V
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 898
  • [25] Spatio-temporal evolution patterns and influencing factors of PM2.5 in Chinese urban agglomerations
    Wang, Zhenbo
    Liang, Longwu
    Wang, Xujing
    [J]. Dili Xuebao/Acta Geographica Sinica, 2019, 74 (12): : 2614 - 2630
  • [26] Estimates of Daily PM2.5 Exposure in Beijing Using Spatio-Temporal Kriging Model
    Lin, Jinhuang
    Zhang, An
    Chen, Wenhui
    Lin, Mingshui
    [J]. SUSTAINABILITY, 2018, 10 (08)
  • [27] Spatio-temporal Evolution of PM2.5 Concentration During 2000-2019 in China
    Xia, Xiao-Sheng
    Wang, Jun-Hong
    Song, Wei-Dong
    Cheng, Xian-Fu
    [J]. Huanjing Kexue/Environmental Science, 2020, 41 (11): : 4832 - 4843
  • [28] Uncertainty assessment of PM2.5 probability mapping by using spatio-temporal indicator kriging
    Mei, Yang
    Zhang, Wen-Ting
    Yang, Yong
    Zhao, Yu
    Li, Lu-Lu
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2018, 38 (01): : 35 - 43
  • [29] Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks
    Sirisumpun, Natch
    Wongwailikhit, Kritchart
    Painmanakul, Pisut
    Vateekul, Peerapon
    [J]. IEEE ACCESS, 2023, 11 : 69601 - 69613
  • [30] DDGNet: A Dual Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting
    Li, Dong
    Yu, Haomin
    Geng, Yangli-ao
    Li, Xiaobao
    Li, Qingyong
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 1679 - 1685