Literature DB >> 31302483

Climate impact on ambient PM2.5 elemental concentration in the United States: A trend analysis over the last 30 years.

Weeberb J Requia1, Iny Jhun2, Brent A Coull3, Petros Koutrakis4.   

Abstract

Weather impacts on the chemical composition of PM2.5 varies significantly over space and time given the diversity of particle components and the complex mechanisms governing particle formation and removal. In this study, we employed generalized additive models (GAMs) to estimate weather-associated changes in PM2.5 composition in the US during 1988-2017. We considered seven components of ambient PM2.5, which included elemental carbon (EC), organic carbon (OC), nitrate, sulfate, sodium, ammonium, and silicon. The impact of long-term weather changes on each PM2.5 component was defined in our study as "weather penalty". During our study period, temperature increased in four regions, including the Industrial Midwest and Northeast during the warm and cold season; and Upper Midwest and West in the cold season. Wind speed decreased in the both seasons. Relative humidity increased in the warm season and decreased in the cold season. The weather changes between 1988 and 2017 were associated with most PM2.5 components during both warm and cold seasons. The direction and the magnitude of the weather penalty varied considerably over the space and season. In the warm season, our findings suggest a nationwide weather penalty for EC, OC, nitrate, sulfate, sodium, ammonium, and silicon of 0.04, 0.21, 0.04, 0.35, -0.01, 0.05, and 0.01 μg/m3, respectively. In the cold season, the estimated total penalty was 0.04, 0.21, 0.06, 0.04, -0.01, -0.02, and 0.02 μg/m3, respectively.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Air pollution; PM(2.5) speciation; Trend analysis; Weather

Mesh:

Substances:

Year:  2019        PMID: 31302483     DOI: 10.1016/j.envint.2019.05.082

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  6 in total

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Authors:  Melissa Fiffer; Choong-Min Kang; Weeberb J Requia; Petros Koutrakis
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3.  An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-Level Ozone in the Contiguous United States.

Authors:  Weeberb J Requia; Qian Di; Rachel Silvern; James T Kelly; Petros Koutrakis; Loretta J Mickley; Melissa P Sulprizio; Heresh Amini; Liuhua Shi; Joel Schwartz
Journal:  Environ Sci Technol       Date:  2020-09-01       Impact factor: 9.028

4.  ECMWF short-term prediction accuracy improvement by deep learning.

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Review 5.  How will air quality effects on human health, crops and ecosystems change in the future?

Authors:  Erika von Schneidemesser; Charles Driscoll; Harald E Rieder; Luke D Schiferl
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-09-28       Impact factor: 4.226

6.  Competing PM2.5 and NO2 holiday effects in the Beijing area vary locally due to differences in residential coal burning and traffic patterns.

Authors:  Jinxi Hua; Yuanxun Zhang; Benjamin de Foy; Xiaodong Mei; Jing Shang; Chuan Feng
Journal:  Sci Total Environ       Date:  2020-08-11       Impact factor: 7.963

  6 in total

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