Changes in air quality in Mexico City, London and Delhi in response to various stages and levels of lockdowns and easing of restrictions during COVID-19 pandemic*,**

被引:30
作者
Vega, E. [1 ]
Namdeo, A. [2 ]
Bramwell, L. [2 ]
Miquelajauregui, Y. [3 ]
Resendiz-Martinez, C. G. [4 ]
Jaimes-Palomera, M. [4 ]
Luna-Falfan, F. [4 ]
Terrazas-Ahumada, A. [4 ]
Maji, K. J. [2 ]
Entwistle, J. [2 ]
Nunez Enriquez, J. C. [5 ]
Mejia, J. M. [5 ]
Portas, A. [6 ]
Hayes, L. [7 ]
McNally, R. [7 ]
机构
[1] Natl Autonomous Univ Mexico UNAM, Ctr Ciencias Atmosfera, Mexico City, DF, Mexico
[2] Northumbria Univ, Geog & Environm Sci Dept, Newcastle Upon Tyne, Tyne & Wear, England
[3] Univ Nacl Autonoma Mexico, Lab Nacl Ciencias Sostenibilidad, Inst Ecol, Mexico City, DF, Mexico
[4] Secretaria Medio Ambiente, Direcc Monitoreo Calidad Aire, Subdirecc Anal & Modelac, Mexico City, DF, Mexico
[5] Inst Mexicano Seguro Social IMSS, Mexico City, DF, Mexico
[6] Northumbria Univ, Math Phys & Elect Engn, Newcastle Upon Tyne, Tyne & Wear, England
[7] Newcastle Univ, Populat Hlth Sci Inst, Newcastle Upon Tyne, Tyne & Wear, England
关键词
Air  pollution; Particulate matter; Lockdown; Covid-19  restrictions; Mexico City; London  Delhi;
D O I
10.1016/j.envpol.2021.117664
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The impacts of COVID-19 lockdown restrictions have provided a valuable global experiment into the extent of improvements in air quality possible with reductions in vehicle movements. Mexico City, London and Delhi all share the problem of air quality failing WHO guideline limits, each with unique situations and influencing factors. We determine, discuss and compare the air quality changes across these cities during the COVID-19, to understand how the findings may support future improvements in their air quality and associated health of citizens. We analysed ground-level PM10, PM2.5, NO2, O3 and CO changes in each city for the period 1st January to August 31, 2020 under different phases of lockdown, with respect to daily average concentrations over the same period for 2017 to 2019. We found major reductions in PM10, PM2.5, NO2 and CO across the three cities for the lockdown phases and increases in O3 in London and Mexico City but not Delhi. The differences were due to the O3 production criteria across the cities, for Delhi production depends on the VOC-limited photochemical regime. Levels of reductions were commensurate with the degree of lockdown. In Mexico City, the greatest reduction in measured concentration was in CO in the initial lockdown phase (40%), in London the greatest decrease was for NO2 in the later part of the lockdown (49%), and in Delhi the greatest decrease was in PM10, and PM2.5 in the initial lockdown phase (61% and 50%, respectively). Reduction in pollutant concentrations agreed with reductions in vehicle movements. In the initial lockdown phase vehicle movements reduced by up to 59% in Mexico City and 63% in London. The cities demonstrated a range of air quality changes in their differing geographical areas and land use types. Local meteorology and pollution events, such as forest fires, also impacted the results.
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页数:14
相关论文
共 54 条
[1]   Managing future air quality in megacities: A case study for Delhi [J].
Amann, Markus ;
Purohit, Pallav ;
Bhanarkar, Anil D. ;
Bertok, Imrich ;
Borken-Kleefeld, Jens ;
Cofala, Janusz ;
Heyes, Chris ;
Kiesewetter, Gregor ;
Klimont, Zbigniew ;
Liu, Jun ;
Majumdar, Dipanjali ;
Binh Nguyen ;
Rafaj, Peter ;
Rao, Padma S. ;
Sander, Robert ;
Schoepp, Wolfgang ;
Srivastava, Anjali ;
Vardhan, B. Harsh .
ATMOSPHERIC ENVIRONMENT, 2017, 161 :99-111
[2]   COVID-19 lockdown effects on air quality by NO2 in the cities of Barcelona and Madrid (Spain) [J].
Baldasano, Jose M. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 741
[3]   On the concentration of SARS-CoV-2 in outdoor air and the interaction with pre-existing atmospheric particles [J].
Belosi, Franco ;
Conte, Marianna ;
Gianelle, Vorne ;
Santachiara, Gianni ;
Contini, Daniele .
ENVIRONMENTAL RESEARCH, 2021, 193 (193)
[4]   openair - An R package for air quality data analysis [J].
Carslaw, David C. ;
Ropkins, Karl .
ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 27-28 :52-61
[5]  
Census Organization of India, 2011, DELH POP 2011 2020 C
[6]  
Chitlangia, 2015, DELHI NEWS TIMES IND
[7]   Can particulate matter be identified as the primary cause of the rapid spread of CoViD-19 in some areas of Northern Italy? [J].
Collivignarelli, Maria Cristina ;
Abba, Alessandro ;
Caccamo, Francesca Maria ;
Bertanza, Giorgio ;
Pedrazzani, Roberta ;
Baldi, Marco ;
Ricciardi, Paola ;
Miino, Marco Carnevale .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (25) :33120-33132
[8]   Analysis of lockdown for CoViD-19 impact on NO2 in London, Milan and Paris: What lesson can be learnt? [J].
Collivignarelli, Maria Cristina ;
De Rose, Claudio ;
Abba, Alessandro ;
Baldi, Marco ;
Bertanza, Giorgio ;
Pedrazzani, Roberta ;
Sorlini, Sabrina ;
Miino, Marco Carnevale .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 146 :952-960
[9]   Lockdown for CoViD-2019 in Milan: What are the effects on air quality? [J].
Collivignarelli, Maria Cristina ;
Abba, Alessandro ;
Bertanza, Giorgio ;
Pedrazzani, Roberta ;
Ricciardi, Paola ;
Miino, Marco Carnevale .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 732
[10]  
Comert Gurcan, 2020, International Journal of Transportation Science and Technology, V9, P29, DOI 10.1016/j.ijtst.2019.05.008