scholarly journals Temporal and Spatial Impacts of Land Transfer on PM2.5 Concentration in 285 Cities of China

2021 ◽  
Author(s):  
Ling Feng Song ◽  
Yan Fei Feng
Keyword(s):  
Fine Particulate Matter ◽  
Constant Term ◽  
Land Transfer ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Temporal And Spatial ◽  
High Degree ◽  
Spatial Impacts ◽  
Matter Concentration ◽  
Pm2.5 Concentration

The threat of fine particulate matter concentration (PM2.5) is increasing globally, Tackling this issue requires an accurate understanding of its trends and drivers. The article investigates the PM2.5 characteristics of 285 prefecture-level cities in China from 2000-2018 based on multiscale geographically weighted regression(MGWR), and the results show that（1）previous studies based on classical MGWR models may be somewhat unstable, while MGWR can reflect the scale of influence of different variables on the dependent variable, and its regression results are more reliable.（2）PM2.5 is very sensitive to carbon emission(CE) factors, and there is a high degree of spatial heterogeneity, and the influence scale of location is the smallest among all variables, close to the municipal scale.（3）In 2000, the constant term all, IS, OFT, CE, and LT positively affect PM2.5, while GDP (jurisdiction) and UR negatively affect PM2.5; in 2010, the constant term all, GDP (jurisdiction), IS, OFT and LT positively affect PM2.5, while UR and CE negatively affect PM2.5; in 2018 the constant term all, IS, OFT and CE factors positively affect PM2.5, and GDP (jurisdiction), UR and LT negatively affect PM2.5.

scholarly journals Impact of COVID-19 lockdown on the fine particulate matter concentration levels: Results from Bengaluru megacity, India

2021 ◽  
Vol 67 (7) ◽  
pp. 2140-2150
Author(s):  
V. Sreekanth ◽  
Meenakshi Kushwaha ◽  
Padmavati Kulkarni ◽  
Adithi R. Upadhya ◽  
B. Spandana ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Matter Concentration ◽  
Concentration Levels

scholarly journals Fine particulate matter concentration and composition and the incidence of childhood asthma

2021 ◽  
Vol 152 ◽  
pp. 106486
Author(s):  
Éric Lavigne ◽  
Robert Talarico ◽  
Aaron van Donkelaar ◽  
Randall V. Martin ◽  
David M. Stieb ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Childhood Asthma ◽  
Fine Particulate Matter ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Matter Concentration

Diurnal Patterns in Global Fine Particulate Matter Concentration

2018 ◽  
Vol 5 (11) ◽  
pp. 687-691 ◽  
Author(s):  
Max I. Manning ◽  
Randall V. Martin ◽  
Christa Hasenkopf ◽  
Joe Flasher ◽  
Chi Li
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Diurnal Patterns ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Matter Concentration

The Impact of The Pico Y Placa Policy On Fine Particulate Matter In Lima, Peru

2021 ◽  
Author(s):  
Yovitza Romero ◽  
Priyanka deSouza ◽  
Fabio Duarte ◽  
Patrick Kinney ◽  
Carlo Ratti ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Vehicular Emissions ◽  
Government Officials ◽  
Pollution Levels ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
The Impact ◽  
The City ◽  
Matter Concentration

Abstract Lima has been ranked among the top most polluted cities in the Americas. Vehicular emissions are the dominant source of pollution in the city. In order to reduce congestion and pollution levels during the XVIII Pan- and Parapan-American Games, Lima government officials enacted the pico y placa policy to restrict the number of vehicles on certain heavily trafficked roads in the city at rush hours between Monday to Thursday based on the last digit of their license plates. This policy was retained after the Games. In this paper we evaluate the impact of this policy on fine particulate matter concentration levels (PM2.5) at a background site in the city using a difference-in-difference approach. We find that the policy resulted in increases on PM2.5 levels on Monday-Thursday compared to Friday-Sunday levels after the policy was enacted, compared to previous years. However, such an increase was not significant. These results suggest the need for additional policies to reduce pollution due to traffic in Lima. It also suggests the need to track the response to this policy over time to evaluate its efficacy.

scholarly journals Variation Trends of Fine Particulate Matter Concentration in Wuhan City from 2013 to 2017

2018 ◽  
Vol 15 (7) ◽  
pp. 1487 ◽  
Author(s):  
Daoru Liu ◽  
Qinli Deng ◽  
Zeng Zhou ◽  
Yaolin Lin ◽  
Junwei Tao
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Wuhan City ◽  
Fine Particulate ◽  
Variation Patterns ◽  
Average Proportion ◽  
June July ◽  
Matter Concentration ◽  
Mean Concentration ◽  
Pm2.5 Concentration

Fine particulate matter (PM2.5) is directly associated with smog and has become the primary factor that threatens air quality in China. In order to investigate the variation patterns of PM2.5 concentrations in various regions of Wuhan city across different time spans, we analyzed continuous monitoring data from six monitoring sites in Wuhan city from 2013 to 2017. The results showed that the PM2.5 concentration from the various monitoring sites in the five-year period showed a decreasing trend. January, October, and December are the three months with relatively high mean monthly PM2.5 concentrations in the year, while June, July, and August are the three months with relatively low mean monthly PM2.5 concentrations in the year. The number of days with a daily mean concentration of 35–75 μg/m3 was the highest, while the number of days with a daily mean concentration of more than 250 μg/m3 was the lowest. PM2.5 accounted for a large proportion of the major pollutants and is the main source of air pollution in Wuhan city, with an average proportion of over 46%.

Apportionment of the sources of high fine particulate matter concentration events in a developing aerotropolis in Taoyuan, Taiwan

2016 ◽  
Vol 214 ◽  
pp. 273-281 ◽  
Author(s):  
Ming-Tung Chuang ◽  
Yu-Chieh Chen ◽  
Chung-Te Lee ◽  
Chung-Hao Cheng ◽  
Yu-Jen Tsai ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Matter Concentration
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