Air pollution in Delhi, India: It's status and association with respiratory diseases

被引:14
作者
Dutta, Abhishek [1 ]
Jinsart, Wanida [1 ]
机构
[1] Chulalongkorn Univ, Fac Sci, Dept Environm Sci, Bangkok, Thailand
关键词
OBSTRUCTIVE PULMONARY-DISEASE; HOSPITAL ADMISSIONS; PARTICULATE MATTER; DAILY MORTALITY; MEGACITY DELHI; TIME-SERIES; PM2.5; EMISSIONS; AMBIENT; CITIES;
D O I
10.1371/journal.pone.0274444
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The policymakers need research studies indicating the role of different pollutants with morbidity for polluted cities to install a strategic air quality management system. This study critically assessed the air pollution of Delhi for 2016-18 to found out the role of air pollutants in respiratory morbidity under the ICD-10, J00-J99. The critical assessment of Delhi air pollution was done using various approaches. The mean PM2.5 and PM10 concentrations during the measurement period exceeded both national and international standards by a wide margin. Time series charts indicated the interdependence of PM2.5 and PM10 and connection with hospital visits due to respiratory diseases. Violin plots showed that daily respiratory disease hospital visits increased during the winter and autumn seasons. The winter season was the worst from the city's air pollution point of view, as revealed by frequency analyses. The single and multi-pollutant GAM models indicated that short-term exposure to PM10 and SO2 led to increased hospital visits due to respiratory diseases. Per 10 units increase in concentrations of PM10 brought the highest increase in hospital visits of 0.21% (RR: 1.00, 95% CI: 1.001, 1.002) at lag0-6 days. This study found the robust effect of SO2 persisted in Delhi from lag0 to lag4 days and lag01 to lag06 days for single and cumulative lag day effects, respectively. While every 10 mu g m(-3) increase of SO2 concentrations on the same day (lag0) led to 32.59% (RR: 1.33, 95% CI: 1.09, 1.61) rise of hospital visits, the cumulative concentration of lag0-1 led to 37.21% (RR: 1.37, 95% CI:1.11, 1.70) rise in hospital visits which further increased to even 83.33% (RR: 1.83, 95% CI:1.35, 2.49) rise at a lag0-6 cumulative concentration in Delhi. The role of SO2 in inducing respiratory diseases is worrying as India is now the largest anthropogenic SO2 emitter in the world.
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页数:20
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共 60 条
[1]  
[Anonymous], 2019, WORLD RESOURCES REPORT | Towards a More Equal City
[2]   Acute effects of particulate air pollution on respiratory admissions - Results from APHEA 2 project [J].
Atkinson, RW ;
Anderson, HR ;
Sunyer, J ;
Ayres, J ;
Baccini, M ;
Vonk, JM ;
Boumghar, A ;
Forastiere, F ;
Forsberg, B ;
Touloumi, G ;
Schwartz, J ;
Katsouyanni, K .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2001, 164 (10) :1860-1866
[3]  
Balyan P., 2018, INT J HLTH SCI RES, V8, P273
[4]   Analysis and interpretation of particulate matter-PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway [J].
Bathmanabhan, Srimuruganandam ;
Madanayak, Shiva Nagendra Saragur .
ATMOSPHERIC POLLUTION RESEARCH, 2010, 1 (03) :184-194
[5]   Association between PM2.5 Exposure and All-Cause, Non-Accidental, Accidental, Different Respiratory Diseases, Sex and Age Mortality in Shenzhen, China [J].
Cai, Junfang ;
Peng, Chaoqiong ;
Yu, Shuyuan ;
Pei, Yingxin ;
Liu, Ning ;
Wu, Yongsheng ;
Fu, Yingbin ;
Cheng, Jinquan .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (03)
[6]   Mitigation of PM2.5 and ozone pollution in Delhi. a sensitivity study during the pre-monsoon period [J].
Chen, Ying ;
Wild, Oliver ;
Ryan, Edmund ;
Sahu, Saroj Kumar ;
Lowe, Douglas ;
Archer-Nicholls, Scott ;
Wang, Yu ;
McFiggans, Gordon ;
Ansari, Tabish ;
Singh, Vikas ;
Sokhi, Ranjeet S. ;
Archibald, Alex ;
Beig, Gufran .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (01) :499-514
[7]   Spatial Mapping of Ozone and SO2 Trends in Europe [J].
Denby, Bruce ;
Sundvor, Ingrid ;
Cassiani, Massimo ;
de Smet, Peter ;
de Leeuw, Frank ;
Horalek, Jan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 408 (20) :4795-4806
[8]   Combining evidence on air pollution and daily mortality from the 20 largest US cities: a hierarchical modelling strategy [J].
Dominici, F ;
Samet, JM ;
Zeger, SL .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2000, 163 :263-284
[9]   Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis [J].
Dutta, Abhishek ;
Jinsart, Wanida .
AEROSOL AND AIR QUALITY RESEARCH, 2021, 21 (03) :1-31
[10]   Risks to health from ambient particulate matter (PM2.5) to the residents of Guwahati city, India: An analysis of prediction model [J].
Dutta, Abhishek ;
Jinsart, Wanida .
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2021, 27 (04) :1094-1111