Insights into measurements of ambient air PM 2.5 in China

Zhang, Bai; Han, Jiahao; Azzi, Merched

doi:10.1016/j.teac.2017.01.001

Cited by 14 publications

(7 citation statements)

References 71 publications

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“…Besides the magnitude measurement indicated in Reference [36], there is another concentration measurement of air pollutant emissions complied with those recommended in the China National Ambient Air Quality Standard [45]. Report on the State of the Environment in Chinese cities reports the data of air pollution concentration every year.…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Do Compactness and Poly-Centricity Mitigate PM10 Emissions? Evidence from Yangtze River Delta Area

Tao

Wang

et al. 2019

IJERPH

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The Yangtze River Delta (YRD) region is one of the most densely populated and economically developed areas in China, which provides an ideal environment with which to study the various strategies, such as compact and polycentric development advocated by researchers to reduce air pollution. Using the data of YRD cities from 2011–2017, the spatial durbin model (SDM) is presented to investigate how compactness (in terms of urban density, jobs-housing balance, and urban centralization) and poly-centricity (in terms of the number of centers and polycentric cluster) affect PM10 emissions. After controlling some variables, the results suggest that more jobs-housing-balanced and centralized compactness tends to decrease emissions, while poly-centricity by developing too many centers is expected to result in more pollutant emissions. The effect of high-density compactness is more controversial. In addition, for cities with more private car ownerships (>10 million within cities), enhancing the polycentric cluster by achieving a more balanced population distribution between the traditional centers and sub-centers could reduce emissions, whereas this mitigated emissions effect may be limited. The difference between our study and western studies suggests that the correlation between high-density compactness and air pollution vary with the specific characteristics and with spatial planning implications, as this paper concludes.

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Section: Study Area Data and Methodsmentioning

confidence: 99%

Do Compactness and Poly-Centricity Mitigate PM10 Emissions? Evidence from Yangtze River Delta Area

Tao

Wang

et al. 2019

IJERPH

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“…En la Tabla 7 se detallan las mediciones realizadas para la fracción respirable PM2,5 (2,5 micras), ya que es uno de los mayores contaminantes presentes en este tipo de organizaciones (Bai et al, 2017), se calcula el índice de riesgo y sus concentraciones para la empresa A y B. Los resultados fueron superiores al parámetro establecido como nivel máximo permisible para polvo fracción respirable en la empresa A, lo cual determina un riesgo moderado; sin embargo, para la empresa B, los resultados promedios establecidos resultan inferiores, determinando un riesgo leve en las actividades de la empresa.…”

Section: Etapa 3 Evaluación Del Riesgounclassified

Propuesta de herramienta integrada para diagnosticar impactos ambientales y su afectación a la salud humana en dos empresas del Valle del Cauca (Colombia)

Rivera Díaz,

Candelo-Viáfara,

Bonilla Betancourt

2023

Rev. CEA

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Esta investigación tuvo como objetivo proponer una herramienta de matriz integrada, ambiental-laboral, que permite diagnosticar los impactos ambientales que se originan en las actividades industriales, incorporada esta, a la evaluación de riesgos laborales, y aplicable a las pequeñas y medianas empresas (pymes) que se dedican a la fabricación de alimentos balanceados para animales. Se utilizó una metodología mixta con recolección y análisis de datos cualitativos y cuantitativos, realizando entrevistas y encuestas a treinta y tres trabajadores que llevan más de cinco años laborando en las pymes. Se identificaron contaminantes en el lugar de trabajo y se evaluaron los impactos ambientales y los riesgos laborales mediante mediciones higiénico-sanitarias basadas en normativas locales y valores límites permisibles establecidos por la Conferencia Americana de Higienistas Industriales Gubernamentales (ACGIH, por sus siglas en inglés); además, se priorizaron y verificaron las incidencias generadas por las actividades críticas para determinar la aceptabilidad del riesgo. Se concluye que la matriz propuesta, al abarcar e integrar diferentes elementos ambientales-laborales, permite obtener un análisis integrado del estado actual de las pymes dedicadas a la fabricación de alimento balanceados. A partir de dicho análisis, se podrán establecer acciones que reduzcan la contaminación ambiental y, asimismo, mejorar la salud de los trabajadores de manera integrada.

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“…Mainland China has multiple aerosol sources including coal combustion, motor vehicle emissions, and industrial sources, etc. In this study area, sulfate, ammonium, and nitrate from coal burning and vehicle emissions are the main causes of regional haze [42,43]; the continuous expansion of the deserts (e.g., Gobi Desert) has led to sandstorms, which is one of the main sources of aerosols [44]. Supplementary Figure S1 shows the study area of mainland China including its altitude and seven geographic zones, as well as six AERONET monitoring sites.…”

Section: Study Areamentioning

confidence: 99%

High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China

2021

Remote Sensing

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Aerosols play an important role in climate change, and ground aerosols (e.g., fine particulate matter, abbreviated as PM2.5) are associated with a variety of health problems. Due to clouds and high reflectance conditions, satellite-derived aerosol optical depth (AOD) products usually have large percentages of missing values (e.g., on average greater than 60% for mainland China), which limits their applicability. In this study, we generated grid maps of high-resolution, daily complete AOD and ground aerosol coefficients for the large study area of mainland China from 2015 to 2018. Based on the AOD retrieved using the recent Multi-Angle Implementation of Atmospheric Correction advanced algorithm, we added a geographic zoning factor to account for variability in meteorology, and developed an adaptive method based on the improved full residual deep network (with attention layers) to impute extensively missing AOD in the whole study area consistently and reliably. Furthermore, we generated high-resolution grid maps of complete AOD and ground aerosol coefficients. Overall, compared with the original residual model, in the independent test of 20% samples, our daily models achieved an average test R2 of 0.90 (an improvement of approximately 5%) with a range of 0.75–0.97 (average test root mean square error: 0.075). This high test performance shows the validity of AOD imputation. In the evaluation using the ground AOD data from six Aerosol Robotic Network monitoring stations, our method obtained an R2 of 0.78, which further illustrated the reliability of the dataset. In addition, ground aerosol coefficients were generated to provide an improved correlation with PM2.5. With the complete AOD data and ground coefficients, we presented and interpreted their spatiotemporal variations in mainland China. This study has important implications for using satellite-derived AOD to estimate aerosol air pollutants.

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Insights into measurements of ambient air PM 2.5 in China

Cited by 14 publications

References 71 publications

Do Compactness and Poly-Centricity Mitigate PM10 Emissions? Evidence from Yangtze River Delta Area

Do Compactness and Poly-Centricity Mitigate PM10 Emissions? Evidence from Yangtze River Delta Area

Propuesta de herramienta integrada para diagnosticar impactos ambientales y su afectación a la salud humana en dos empresas del Valle del Cauca (Colombia)

High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China

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