Impact of Fine-Mode Fraction on the Relationship Between MODIS AOD and Ground-Based Particulate Matter

2022 ◽  
Author(s):  
Geng Wei ◽  
Long Li ◽  
Li-juan Chen ◽  
Yong Zha
Keyword(s):  
Particulate Matter ◽  
Modis Aod ◽  
Fine Mode ◽  
The Relationship

Potential Role of Inflammation in Associations between Particulate Matter and Heart Failure

2018 ◽  
Vol 24 (3) ◽  
pp. 341-358 ◽  
Author(s):  
Xiaotong Ji ◽  
Yingying Zhang ◽  
Guangke Li ◽  
Nan Sang
Keyword(s):  
Heart Failure ◽  
Particulate Matter ◽  
Inflammatory Response ◽  
Heart Diseases ◽  
Experimental Studies ◽  
Epidemiological Studies ◽  
Inflammatory Mechanism ◽  
High Concentrations ◽  
Future Work ◽  
The Relationship

Recently, numerous studies have found that particulate matter (PM) exposure is correlated with increased hospitalization and mortality from heart failure (HF). In addition to problems with circulation, HF patients often display high expression of cytokines in the failing heart. Thus, as a recurring heart problem, HF is thought to be a disorder characterized in part by the inflammatory response. In this review, we intend to discuss the relationship between PM exposure and HF that is based on inflammatory mechanism and to provide a comprehensive, updated evaluation of the related studies. Epidemiological studies on PM-induced heart diseases are focused on high concentrations of PM, high pollutant load exposure in winter, or susceptible groups with heart diseases, etc. Furthermore, it appears that the relationship between fine or ultrafine PM and HF is stronger than that between HF and coarse PM. However, fewer studies paid attention to PM components. As for experimental studies, it is worth noting that coarse PM may indirectly promote the inflammatory response in the heart through systematic circulation of cytokines produced primarily in the lungs, while ultrafine PM and its components can enter circulation and further induce inflammation directly in the heart. In terms of PM exposure and enhanced inflammation during the pathogenesis of HF, this article reviews the following mechanisms: hemodynamics, oxidative stress, Toll-like receptors (TLRs) and epigenetic regulation. However, many problems are still unsolved, and future work will be needed to clarify the complex biologic mechanisms and to identify the specific components of PM responsible for adverse effects on heart health.

On the Spatio-Temporal Relationship Between MODIS AOD and PM2.5 Particulate Matter Measurements

2021 ◽  
Vol 12 (2) ◽  
pp. 255-275
Author(s):  
Aaron T. Porter ◽  
Jacob J. Oleson ◽  
Charles O. Stanier
Keyword(s):  
Particulate Matter ◽  
Temporal Relationship ◽  
Modis Aod ◽  
Spatio Temporal

scholarly journals Pre-harvest cane burning and health: the association between school absences and burning sugarcane fields

2015 ◽  
Vol 49 (0) ◽  
Author(s):  
Carla Cabrini Mauro ◽  
Vera Lúcia Silveira Bota Ferrante ◽  
Marcos Abdo Arbex ◽  
Maria Lúcia Ribeiro ◽  
Romeu Magnani
Keyword(s):  
Particulate Matter ◽  
Respiratory Diseases ◽  
Total Concentration ◽  
Southeastern Brazil ◽  
Respiratory Problems ◽  
Suspended Particulate ◽  
School Absences ◽  
The Relationship ◽  
The City ◽  
Matter Concentration

The objective of this study was to investigate an association between pre-harvest sugarcane burning and respiratory diseases in children under five years of age. The following data were collected in five schools in the city of Araraquara, SP, Southeastern Brazil, between March and June 2009: daily records of absences and the reasons stated for these absences, total concentration of suspended particulate matter (µg/m3), and air humidity. The relationship between the percentage of school absences due to respiratory problems and the concentration of particulate matter in March and from April to June presented a distinct behavior: absences increased alongside the increase in particulate matter concentration. The use of school absences as indicators of this relationship is an innovative approach.

scholarly journals Critical Review of Methods to Estimate PM2.5 Concentrations within Specified Research Region

2018 ◽  
Vol 7 (9) ◽  
pp. 368 ◽  
Author(s):  
Guangyuan Zhang ◽  
Xiaoping Rui ◽  
Yonglei Fan
Keyword(s):  
Particulate Matter ◽  
Critical Review ◽  
Research Interest ◽  
Traditional Methods ◽  
Academic Interest ◽  
Filter Membrane ◽  
Representative Points ◽  
The Relationship

Obtaining PM2.5 data for the entirety of a research region underlies the study of the relationship between PM2.5 and human spatiotemporal activity. A professional sampler with a filter membrane is used to measure accurate values of PM2.5 at single points in space. However, there are numerous PM2.5 sampling and monitoring facilities that rely on data from only representative points, and which cannot measure the data for the whole region of research interest. This provides the motivation for researching the methods of estimation of particulate matter in areas having fewer monitors at a special scale, an approach now attracting considerable academic interest. The aim of this study is to (1) reclassify and particularize the most frequently used approaches for estimating the PM2.5 concentrations covering an entire research region; (2) list improvements to and integrations of traditional methods and their applications; and (3) compare existing approaches to PM2.5 estimation on the basis of accuracy and applicability.

scholarly journals Cardiorespiratory treatments as modifiers of the relationship between particulate matter and health: A case-only analysis on hospitalized patients in Italy

2015 ◽  
Vol 136 ◽  
pp. 491-499 ◽  
Author(s):  
Sara Conti ◽  
Alessandra Lafranconi ◽  
Antonella Zanobetti ◽  
Carla Fornari ◽  
Fabiana Madotto ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Hospitalized Patients ◽  
The Relationship

scholarly journals Exploring the relation between aerosol optical depth and PM<sub>2.5</sub> at Cabauw, the Netherlands

2008 ◽  
Vol 8 (5) ◽  
pp. 17939-17986 ◽  
Author(s):  
M. Schaap ◽  
A. Apituley ◽  
R. M. A. Timmermans ◽  
R. B. A. Koelemeijer ◽  
G. de Leeuw
Keyword(s):  
The Netherlands ◽  
Ground Level ◽  
Weather Conditions ◽  
Fair Weather ◽  
Modis Aod ◽  
Data Points ◽  
Set Up ◽  
The Relationship ◽  
Lidar Observations ◽  
Pm2.5 Concentration

Abstract. To acquire daily estimates of PM2.5 distributions based on satellite data one depends critically on an established relation between AOD and ground level PM2.5. In this study we aimed to experimentally establish the AOD-PM2.5 relationship for the Netherlands. For that purpose an experiment was set-up at the AERONET site Cabauw. The average PM2.5 concentration during this ten month study was 18 μg/m3, which confirms that the Netherlands are characterised by a high PM burden. A first inspection of the AERONET level 1.5 (L1.5) AOD and PM2.5 data at Cabauw showed a low correlation between the two properties. However, after screening for cloud contamination in the AERONET L1.5 data, the correlation improved substantially. When also constraining the dataset to data points acquired around noon, the correlation between AOD and PM2.5 amounted to R2=0.6 for situations with fair weather. This indicates that AOD data contain information about the temporal evolution of PM2.5. We had used LIDAR observations to detect residual cloud contamination in the AERONET L1.5 data. Comparison of our cloud-screed L1.5 with AERONET L2 data that became available near the end of the study showed favorable agreement. The final relation found for Cabauw is PM2.5=124.5*AOD–0.34 (with PM2.5 in μg/m3) and is valid for fair weather conditions. The relationship determined between MODIS AOD and ground level PM2.5 at Cabauw is very similar to that based on the much larger dataset from the sun photometer data, after correcting for a systematic overestimation of the MODIS data of 0.05. We applied the relationship to a MODIS composite map to assess the PM2.5 distribution over the Netherlands. Spatial dependent systematic errors in the MODIS AOD, probably related to variability in surface reflectance, hamper a meaningful analysis of the spatial distribution of PM2.5 using AOD data at the scale of the Netherlands.

scholarly journals ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA

2012 ◽  
Vol 12 (1) ◽  
pp. 527-543 ◽  
Author(s):  
S. L. Capps ◽  
D. K. Henze ◽  
A. Hakami ◽  
A. G. Russell ◽  
A. Nenes
Keyword(s):  
Discontinuous Solution ◽  
Fold Increase ◽  
Computational Time ◽  
Air Masses ◽  
Aerosol Mass ◽  
Inorganic Species ◽  
Highly Nonlinear ◽  
Fine Mode ◽  
Inorganic Aerosol ◽  
The Relationship

Abstract. We present the development of ANISORROPIA, the discrete adjoint of the ISORROPIA thermodynamic equilibrium model that treats the Na+-SO42−- HSO4−-NH4+ -NO3−-Cl−-H2O aerosol system, and we demonstrate its sensitivity analysis capabilities. ANISORROPIA calculates sensitivities of an inorganic species in aerosol or gas phase with respect to the total concentrations of each species present with less than a two-fold increase in computational time over the concentration calculations. Due to the highly nonlinear and discontinuous solution surface of ISORROPIA, evaluation of the adjoint required a new, complex-variable version of the model, which determines first-order sensitivities with machine precision and avoids cancellation errors arising from finite difference calculations. The adjoint is verified over an atmospherically relevant range of concentrations, temperature, and relative humidity. We apply ANISORROPIA to recent field campaign results from Atlanta, GA, USA, and Mexico City, Mexico, to characterize the inorganic aerosol sensitivities of these distinct urban air masses. The variability in the relationship between fine mode inorganic aerosol mass and precursor concentrations shown has important implications for air quality and climate.

Sign in / Sign up

Export Citation Format

Share Document