2022
DOI: 10.1016/j.scs.2022.103864
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Assessment of PM2.5 exposure risk towards SDG indicator 11.6.2 – A case study in Beijing

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Cited by 19 publications
(10 citation statements)
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“…Authors such as Ehrlich et al (2018) consider density to be an essential variable in the analysis of climate risks. Furthermore, given the same concentration of PM2.5, more populated areas face greater risks of exposure (Dong et al, 2022). Therefore, it would be a variable worth taking into account in other geographical contexts.…”
Section: Resultsmentioning
confidence: 99%
“…Authors such as Ehrlich et al (2018) consider density to be an essential variable in the analysis of climate risks. Furthermore, given the same concentration of PM2.5, more populated areas face greater risks of exposure (Dong et al, 2022). Therefore, it would be a variable worth taking into account in other geographical contexts.…”
Section: Resultsmentioning
confidence: 99%
“…Just as differences in the size of PM particles affect lung health, the composition of PM particles produced by vehicle emissions, industrial processes, construction activities, and natural sources such as pollen and dust is also important. Particulate matter is used as a key indicator of ambient air quality and to measure its potential impact on human health and the environment [ 54 ]. Significant research efforts are underway to improve the composition and properties of particulate matter, providing the basis for accurate and reliable air quality measurements.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the intersection and integration of multiple subjects may become the trend of research in the future. In addition, Liu, Shen, Dong, and other scholars have shown how to reasonably evaluate the temporal and spatial distribution pattern of PM 2.5 and quantitatively analyze the PM 2.5 exposure and the health risks are a key problem to be solved [44,62,63]. Meanwhile, Miranda, Santana, and other scholars pointed out that predicting air pollution levels such as PM 2.5 in different cities under different environmental conditions through modeling and data simulation can be an important research direction for future research [64,65].…”
Section: Discussionmentioning
confidence: 99%
“…Take China as an example, there has been a significant increase in cases of atherosclerosis, congenital malformations, and childhood respiratory diseases during this period [41,42]. This trend has garnered global attention, leading to the formulation of Sustainable Development Goals (SDGs) with a specific target (11.6.2) for controlling PM 2.5 , which were first proposed by governments worldwide during the Rio+20 UN Conference in June 2012 [43,44]. In response, countries began to enact a series of policies to promote greener, more sustainable development after 2012 [45,46].…”
Section: Descriptive Bibliometric Analysis Of Publicationsmentioning
confidence: 99%