Literature DB >> 29670645

Evaluation of PM2.5 surface concentration simulated by Version 1 of the NASA's MERRA Aerosol Reanalysis over Israel and Taiwan.

Simon Provençal1, Virginie Buchard2,3, Arlindo M da Silva2, Richard Leduc1, Nathalie Barrette1, Emily Elhacham4, Sheng-Hsiang Wang5.   

Abstract

Version 1 of the NASA MERRA Aerosol Reanalysis (MERRAero) assimilates bias-corrected aerosol optical depth (AOD) data from MODIS-Terra and MODIS-Aqua, and simulates particulate matter (PM) concentration data to reproduce a consistent database of AOD and PM concentration around the world from 2002 to the end of 2015. The purpose of this paper is to evaluate MERRAero's simulation of fine PM concentration against surface measurements in two regions of the world with relatively high levels of PM concentration but with profoundly different PM composition, those of Israel and Taiwan. Being surrounded by major deserts, Israel's PM load is characterized by a significant contribution of mineral dust, and secondary contributions of sea salt particles, given its proximity to the Mediterranean Sea, and sulfate particles originating from Israel's own urban activities and transported from Europe. Taiwan's PM load is composed primarily of anthropogenic particles (sulfate, nitrate and carbonaceous particles) locally produced or transported from China, with an additional contribution of springtime transport of mineral dust originating from Chinese and Mongolian deserts. The evaluation in Israel produced favorable results with MERRAero slightly overestimating measurements by 6% on average and reproducing an excellent year-to-year and seasonal fluctuation. The evaluation in Taiwan was less favorable with MERRAero underestimating measurements by 42% on average. Two likely reasons explain this discrepancy: emissions of anthropogenic PM and their precursors are largely uncertain in China, and MERRAero doesn't include nitrate particles in its simulation, a pollutant of predominately anthropogenic sources. MERRAero nevertheless simulates well the concentration of fine PM during the summer, when Taiwan is least affected by the advection of pollution from China.

Entities:  

Keywords:  Evaluation; Fine particulate matter; Israel; MERRAero; Taiwan

Year:  2017        PMID: 29670645      PMCID: PMC5901751          DOI: 10.4209/aaqr.2016.04.0145

Source DB:  PubMed          Journal:  Aerosol Air Qual Res        ISSN: 1680-8584            Impact factor:   3.063


  9 in total

1.  Fine particles are more strongly associated than coarse particles with acute respiratory health effects in schoolchildren.

Authors:  J Schwartz; L M Neas
Journal:  Epidemiology       Date:  2000-01       Impact factor: 4.822

2.  The PM2.5 and PM10 particles in urban areas of Taiwan.

Authors:  M L Chen; I F Mao; I K Lin
Journal:  Sci Total Environ       Date:  1999-02-09       Impact factor: 7.963

3.  Characterization of chemical species in atmospheric aerosols in a metropolitan basin.

Authors:  Ying I Tsai; Man T Cheng
Journal:  Chemosphere       Date:  2004-02       Impact factor: 7.086

4.  Policy: Cleaning China's air.

Authors:  Qiang Zhang; Kebin He; Hong Huo
Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

5.  Air quality management in China: issues, challenges, and options.

Authors:  Shuxiao Wang; Jiming Hao
Journal:  J Environ Sci (China)       Date:  2012       Impact factor: 5.565

6.  Evaluation of PM surface concentrations simulated by Version 1 of NASA's MERRA Aerosol Reanalysis over Europe.

Authors:  Simon Provençal; Virginie Buchard; Arlindo M da Silva; Richard Leduc; Nathalie Barrette
Journal:  Atmos Pollut Res       Date:  2016-11-03       Impact factor: 4.352

7.  Effects of Asian dust storm events on daily mortality in Taipei, Taiwan.

Authors:  Yong-Shing Chen; Pai-Ching Sheen; Eng-Rin Chen; Yi-Kuen Liu; Trong-Neng Wu; Chun-Yuh Yang
Journal:  Environ Res       Date:  2004-06       Impact factor: 6.498

8.  Association of fine particulate matter from different sources with daily mortality in six U.S. cities.

Authors:  F Laden; L M Neas; D W Dockery; J Schwartz
Journal:  Environ Health Perspect       Date:  2000-10       Impact factor: 9.031

9.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

  9 in total
  4 in total

1.  Differentiating between local and remote pollution over Taiwan.

Authors:  Pavel Kishcha; Sheng-Hsiang Wang; Neng-Huei Lin; Arlindo da Silva; Tang-Huang Lin; Po-Hsiung Lin; Gin-Rong Liu; Boris Starobinets; Pinhas Alpert
Journal:  Aerosol Air Qual Res       Date:  2018-06-20       Impact factor: 3.063

2.  Predicting monthly high-resolution PM2.5 concentrations with random forest model in the North China Plain.

Authors:  Keyong Huang; Qingyang Xiao; Xia Meng; Guannan Geng; Yujie Wang; Alexei Lyapustin; Dongfeng Gu; Yang Liu
Journal:  Environ Pollut       Date:  2018-07-11       Impact factor: 8.071

3.  Ambient air particulates-bound metallic elements sources identifications during winter and summer at a Science Park.

Authors:  Guor-Cheng Fang; Chao-Yang Huang; Yuan-Jie Zhuang; Wen-Chuan Huang; Kai-Hsiang Tsai; You-Fu Xiao
Journal:  Environ Geochem Health       Date:  2018-03-16       Impact factor: 4.609

4.  Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs.

Authors:  Ying Xu; Jie Wu; Zhenyu Han
Journal:  Int J Environ Res Public Health       Date:  2022-09-24       Impact factor: 4.614

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.