2021
DOI: 10.1016/j.jclepro.2021.129312
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Impact of transboundary PM2.5 pollution on health risks and economic compensation in China

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Cited by 12 publications
(3 citation statements)
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“…③ Rapid growth phase (after 2017): the average annual number of papers is more than 90, and the cumulative quantity of articles is 453, taking up 78.78% of the total publications. In this phase, with the continuous promotion of the action plan for air pollution prevention and control in China [ 4 ], and with the implementation of the policy of winning the Blue-Sky Defense Action, the social concern and academic research on PM 2.5 have received great attention, so the literature on PM 2.5 concentration prediction has grown extremely fast. China’s 337 prefecture-level cities’ yearly average PM 2.5 concentration has steadily decreased, and the urban haze pollution has been significantly mitigated (the bottom half of Fig.…”
Section: Specific Analysis Resultsmentioning
confidence: 99%
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“…③ Rapid growth phase (after 2017): the average annual number of papers is more than 90, and the cumulative quantity of articles is 453, taking up 78.78% of the total publications. In this phase, with the continuous promotion of the action plan for air pollution prevention and control in China [ 4 ], and with the implementation of the policy of winning the Blue-Sky Defense Action, the social concern and academic research on PM 2.5 have received great attention, so the literature on PM 2.5 concentration prediction has grown extremely fast. China’s 337 prefecture-level cities’ yearly average PM 2.5 concentration has steadily decreased, and the urban haze pollution has been significantly mitigated (the bottom half of Fig.…”
Section: Specific Analysis Resultsmentioning
confidence: 99%
“…The increase in PM 2.5 concentration will not only affect human health and residents’ lifestyles but also bring about climate and environmental changes [ 1 , 2 ]. Consequently, precise PM 2.5 concentration prediction is crucial for preventing and controlling air pollution [ 3 , 4 ].…”
Section: Background Introductionmentioning
confidence: 99%
“…Overall, there are 1576 census tracts included in the exposure domain. We elected to use InMAP/the ISRM, which models the physical transport and chemical formation of pollutants using 2005 WRF-Chem based meteorological data, as our mechanistic air quality model because of its efficiency , and applications to exposure domains of similar scale. , InMAP has also been used outside of the United States, making the methodological steps presented in this research adaptable for other locations. Despite some limitations in the InMAP/ISRM (e.g., based on 2005 meteorological data, use of annually averaged input data, parametrization of some chemical relationships, underestimation of particulate sulfate and overestimation of particulate ammonium formation), it has been shown to have similar performance to other reduced-complexity air quality models and is within published air quality model performance criteria used to quantify monetized health damages. , …”
Section: Methodsmentioning
confidence: 99%