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A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5sub> Concentrations, and Its Applications in China Article

Hui Liu, Zhihao Long, Zhu Duan, Huipeng Shi

Engineering 2020, Volume 6, Issue 8, Pages 944-956 doi: 10.1016/j.eng.2020.05.009

Abstract:

Particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5sub>) concentrationforecasting is desirable for air pollution early warning.2.5sub> concentration forecasting.The clustered results of the PM2.5sub> concentration series are decomposed into several sublayersReal PM2.5sub> concentration data from four cities located in different zones in China are utilized

Keywords： PM_2.52.5浓度预测 PM_2.52.5浓度聚类经验小波分解多步预测

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PM concentration declining saves health expenditure in China

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1690-4

Abstract:

● Monthly hospitalization expenses are sensitive to increases in PM2.5sub> exposure.

Keywords： Air pollution Health expenditure PM2.5sub> concentration Economic impact Heterogeneous effect

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Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM2.5sub>-related deaths were estimated to be 227 thousand

Keywords： PM2.5sub> Regional transport Local emissions Health impact Environmental inequality

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Diverse bacterial populations of PM in urban and suburb Shanghai, China

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1329-7

Abstract:

• Urban aerosols harbour diverse bacterial communities in Shanghai.

Keywords： PM2.5sub> Bacteria 16S rRNA SEM analysis Shanghai City

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Temporal variation of PM-associated health effects in Shijiazhuang, Hebei

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1376-0

Abstract:

•Annual mean PM2.5sub> in Shijiazhuang were 87, 95, and 82 µg

Keywords： PM2.5sub> Health effects Integrated exposure-response model Shijiazhuang

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PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015

Youfang Chen, Yimin Zhou, Xinyi Zhao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1202-8

Abstract: There were one high value center for PM2.5 pollution and two low value centers.In 2004, 2009 and after 2013, PM2.5 concentration was relatively low.Over the past 40 years, PM2.5 pollution in North China has become increasingly serious and progressivelyThe tempo-spatial characteristics of PM2.5 and the influence of meteorological elements on PM2.5 is discussedOverall, the spatial distribution of increasingly concentrated PM2.5 pollution in North China are consistent

Keywords： Aerosol optical depth PM2.5sub> MODIS Mixed effect model Canonical correlation analysis

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Local and regional contributions to PM in the Beijing 2022 Winter Olympics infrastructure areas during

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1434-2

Abstract:

• Regional transportation contributed more than local emissions during haze episodes.

Keywords： 2022 Winter Olympics PM2.5sub> Source apportionment

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Does environmental infrastructure investment contribute to emissions reduction? A case of China

Xiaoqian SONG, Yong GENG, Ke LI, Xi ZHANG, Fei WU, Hengyu PAN, Yiqing ZHANG

Frontiers in Energy 2020, Volume 14, Issue 1, Pages 57-70 doi: 10.1007/s11708-019-0654-7

Abstract: an important environmental policy instrument on responding to greenhouse gas (GHG) emission and air pollutionmunicipalities for the period of 2003–2015 to investigate the effect of EII on CO emissions, SO emissions, and PMpollution.However, the effect of EII on SO emission fluctuated although it still contributes to the reduction of PMpollution through technology innovations.

Keywords： environmental infrastructure investment (EII) CO2sub> emission SO2sub> emission PM2.5sub> pollution stochastic impact by regression on population affluence and technology (STIRPAT)

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Spatial and Temporal Variations in the Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in China Article

Xiaodong Xie, Qi Ying, Hongliang Zhang, Jianlin Hu,

Engineering 2023, Volume 28, Issue 9, Pages 117-129 doi: 10.1016/j.eng.2022.03.013

Abstract: simulation of the age distributions of the primary and secondary inorganic fine particulate matter (PM2.5sub>) components was conducted over China using an age-resolved Community Multiscale Air QualityThe results indicate that primary PM2.5sub> (PPM) and ammonium mainly originate from fresh localAdditionally, on pollution days, the contributions of old age bins (> 24 h) increase notably for bothThe age information of PM2.5sub>, provided by the age-resolved CMAQ model, can help policymakers

Keywords： Atmospheric age PM2.5sub> CMAQ model Control strategy

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Source apportionment of PM

Wei WEN,Shuiyuan CHENG,Lei LIU,Gang WANG,Xiaoqi WANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0839-9

Abstract: The new hybrid approaches for the source apportionment of PM were proposed.The metallurgy industry was the biggest contribution source to PM of Tangshan.paper is to propose a hybrid approach for the source apportionment of primary and secondary species of PMIt is indicated that the PM pollution is a regional issue.pollution.

Keywords： Secondary species Emission inventory PM2.5sub> Source apportionment

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Spatial and Temporal Distribution of PM

Xiao-hong Chen,Xiang-bo Tang

Frontiers of Engineering Management 2016, Volume 3, Issue 2, Pages 171-181 doi: 10.15302/J-FEM-2016017

Abstract: Utilizing the initial hourly monitoring data of PM concentrations at 23 monitoring sites across theIn addition, this paper studies the regional distribution of PM seasonal pollution in the vicinity ofOn this basis, this paper puts forward some effective control strategies to cope with regional PM pollution

Keywords： PM2.5sub> spatial and temporal distribution ArcGIS the chang-Zhu-Tan city cluster

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Particle size distributions, PM

Can DONG, Lingxiao YANG, Chao YAN, Qi YUAN, Yangchun YU, Wenxing WANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1, Pages 55-65 doi: 10.1007/s11783-012-0411-1

Abstract: In this study, we collected particles with aerodynamic diameter≤2.5 μm (PM ) from three different publicWater-soluble inorganic ions of PM and particle size distributions were also measured.Both indoor and outdoor PM levels (102.3–143.8 μg·m and 160.2–301.3 μg·m , respectively) were substantiallyConcentrations of indoor and outdoor PM were shown to exhibit the same variation trends for the supermarketFor the office, PM concentrations during nighttime were observed to decrease sharply.

Keywords： indoor air quality indoor/outdoor ratios size distributions particles with aerodynamic diameter≤2.5 μm(PM2.5sub>) water-soluble ions

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Estimating the effects of meteorology on PM

Liu YANG, Ye WU, Jerry M. DAVIS, Jiming HAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3, Pages 331-341 doi: 10.1007/s11783-011-0307-5

Abstract: Particulate pollution was a critical challenge to the promise of good air quality during the 2008 Beijingconducted to evaluate the effects of meteorology and emission control measures on the reduction of PMWind direction was not a significant predictor of PM levels in either the control or the no controllevels in the roadside microenvironment; while the pollution control measures contributed to at leasta 43% reduction in PM levels.

Keywords： meteorology emission control measures Beijing Olympic Games PM2.5sub> linear statistical models

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Chemical characteristics of fine particulate matter emitted from commercial cooking

Bing PEI,Hongyang CUI,Huan LIU,Naiqiang YAN

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 3, Pages 559-568 doi: 10.1007/s11783-016-0829-y

Abstract: The chemical characteristics of fine particulate matter (PM ) emitted from commercial cooking were exploredShanghai-style one (SHS), a Sichuan-style one (SCS) and an Italian-style one (ITS), were selected to conduct PMParticulate organic matter (POM) was found to be the predominant contributor to cooking-related PM massquantified by gas chromatography/mass spectrometry (GC/MS), which accounted for 3.8%–6.5% of the total PMThe results of this study could be utilized to explore the contribution of cooking emissions to PM pollution

Keywords： commercial cooking PM2.5sub> chemical characteristics organic matter

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Analysis of Flue Gas Pollutants Deep-removal Technology in Coal-fired Power Plants

Xiao-lu Zhang

Frontiers of Engineering Management 2014, Volume 1, Issue 4, Pages 336-340 doi: 10.15302/J-FEM-2014061

Abstract: In recent years, frequent haze has made PM become a public hotspot.PM control has been added to the 2012 release “ambient air quality standard.”Currently flue gas pollutant control technology does not easily remove PM .Pollutant Deep-removal Technology (DRT) for coal-fired power plants for deep-removing pollutants such as PMof the necessity and existing problems of developing DRT suitable for China, this study focused on PM

Keywords： Coal-fired power plant flue gas pollutants deep-removal PM2.5sub> removal