Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications

Xuan Liu; Jay R. Turner; Christopher R. Oxford; Jacob McNeill; Brenna Walsh; Emmie Le Roy; Crystal L. Weagle; Emily Stone; Haihui Zhu; Wenyu Liu; Zilin Wei; Nicole P. Hyslop; Jason Giacomo; Ann M. Dillner; Abdus Salam; Al-amin Hossen; Zubayer Islam; Ihab Abboud; Clement Akoshile; Omar Amador-Muñoz; Nguyen Xuan Anh; Araya Asfaw; Rajasekhar Balasubramanian; Rachel Ying-Wen Chang; Craig Coburn; Sagnik Dey; David J. Diner; Jinlu Dong; Tareq Farrah; Paterne Gahungu; Rebecca M. Garland; Michel Grutter de la Mora; Sina Hasheminassab; Juanette John; Jhoon Kim; Jong Sung Kim; Kristy Langerman; Pei-Chen Lee; Puji Lestari; Yang Liu; Tesfaye Mamo; Mathieu Martins; Olga L. Mayol-Bracero; Mogesh Naidoo; Sang Seo Park; Yoav Schechner; Robyn Schofield; Sachchida N. Tripathi; Eli Windwer; Ming-Tsang Wu; Qiang Zhang; Michael Brauer; Yinon Rudich; Randall V. Martin

doi:https://doi.org/10.1021/acsestair.3c00069

Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications

Xuan Liu, Jay R. Turner, Christopher R. Oxford, Jacob McNeill, Brenna Walsh, Emmie Le Roy, Crystal L. Weagle, Emily Stone, Haihui Zhu, Wenyu Liu, Zilin Wei, Nicole P. Hyslop, Jason Giacomo, Ann M. Dillner, Abdus Salam, Al-amin Hossen, Zubayer Islam, Ihab Abboud, Clement Akoshile, Omar Amador-MuñozNguyen Xuan Anh, Araya Asfaw, Rajasekhar Balasubramanian, Rachel Ying-Wen Chang, Craig Coburn, Sagnik Dey, David J. Diner, Jinlu Dong, Tareq Farrah, Paterne Gahungu, Rebecca M. Garland, Michel Grutter de la Mora, Sina Hasheminassab, Juanette John, Jhoon Kim, Jong Sung Kim, Kristy Langerman, Pei-Chen Lee, Puji Lestari, Yang Liu, Tesfaye Mamo, Mathieu Martins, Olga L. Mayol-Bracero, Mogesh Naidoo, Sang Seo Park, Yoav Schechner, Robyn Schofield, Sachchida N. Tripathi, Eli Windwer, Ming-Tsang Wu, Qiang Zhang, Michael Brauer, Yinon Rudich, Randall V. Martin

Department of Earth and Planetary Sciences

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019–2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 μg/m3) in PM2.5 is also found in Dhaka (Bangladesh) along with a high average TEO level (6 μg/m3). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.

Original language	English
Pages (from-to)	283-293
Number of pages	11
Journal	ACS EST Air
Volume	1
Issue number	4
Early online date	11 Mar 2024
DOIs	https://doi.org/10.1021/acsestair.3c00069
State	Published - 12 Apr 2024

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Liu, X., Turner, J. R., Oxford, C. R., McNeill, J., Walsh, B., Le Roy, E., Weagle, C. L., Stone, E., Zhu, H., Liu, W., Wei, Z., Hyslop, N. P., Giacomo, J., Dillner, A. M., Salam, A., Hossen, A., Islam, Z., Abboud, I., Akoshile, C., ... Martin, R. V. (2024). Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications. ACS EST Air, 1(4), 283-293. Advance online publication. https://doi.org/10.1021/acsestair.3c00069

@article{e48ca134fd854a9baa2e84699f2fd5e8,

title = "Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications",

abstract = "Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019–2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 μg/m3) in PM2.5 is also found in Dhaka (Bangladesh) along with a high average TEO level (6 μg/m3). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.",

author = "Xuan Liu and Turner, {Jay R.} and Oxford, {Christopher R.} and Jacob McNeill and Brenna Walsh and {Le Roy}, Emmie and Weagle, {Crystal L.} and Emily Stone and Haihui Zhu and Wenyu Liu and Zilin Wei and Hyslop, {Nicole P.} and Jason Giacomo and Dillner, {Ann M.} and Abdus Salam and Al-amin Hossen and Zubayer Islam and Ihab Abboud and Clement Akoshile and Omar Amador-Mu{\~n}oz and Anh, {Nguyen Xuan} and Araya Asfaw and Rajasekhar Balasubramanian and Chang, {Rachel Ying-Wen} and Craig Coburn and Sagnik Dey and Diner, {David J.} and Jinlu Dong and Tareq Farrah and Paterne Gahungu and Garland, {Rebecca M.} and {Grutter de la Mora}, Michel and Sina Hasheminassab and Juanette John and Jhoon Kim and Kim, {Jong Sung} and Kristy Langerman and Pei-Chen Lee and Puji Lestari and Yang Liu and Tesfaye Mamo and Mathieu Martins and Mayol-Bracero, {Olga L.} and Mogesh Naidoo and Park, {Sang Seo} and Yoav Schechner and Robyn Schofield and Tripathi, {Sachchida N.} and Eli Windwer and Ming-Tsang Wu and Qiang Zhang and Michael Brauer and Yinon Rudich and Martin, {Randall V.}",

note = "his work was supported by the Clean Air Fund and the National Science Foundation (Grant 2020673), with additional contributions from NASA and the US Agency for International Development via the MAIA project at the Jet Propulsion Laboratory, California Institute of Technology. The work of S.H. and D.J.D. was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Y.R. acknowledges support by research grants from the Israel Science Foundation (grant #928/21) and by Horizon Europe Framework Program (EASVOLEE, No. 101095457). We acknowledge technical support from the Sherbrooke site at the Universit{\'e} de Sherbrooke, D{\'e}partement de geomatique appliqu{\'e}e, especially the technical assistance provided by Patrick Menard and support from the site principal investigator Norman T. O{\textquoteright}Neill. We acknowledge the technical support provided by Vadim Holodovsky and Tamar Klein at the Haifa site. We are grateful to the dynamic team of numerous SPARTAN site operators for their careful collection of samples. We thank Maya Arnott, Kyla Fung, Michelle Kaibara, Maya Mehrotra, Manasi Pawar, Yuxuan Ren, Guinter Vogg, and Emma Walter for contributing to the laboratory analyses of collected samples.",

year = "2024",

month = apr,

day = "12",

doi = "https://doi.org/10.1021/acsestair.3c00069",

language = "الإنجليزيّة",

volume = "1",

pages = "283--293",

number = "4",

}

Liu, X, Turner, JR, Oxford, CR, McNeill, J, Walsh, B, Le Roy, E, Weagle, CL, Stone, E, Zhu, H, Liu, W, Wei, Z, Hyslop, NP, Giacomo, J, Dillner, AM, Salam, A, Hossen, A, Islam, Z, Abboud, I, Akoshile, C, Amador-Muñoz, O, Anh, NX, Asfaw, A, Balasubramanian, R, Chang, RY-W, Coburn, C, Dey, S, Diner, DJ, Dong, J, Farrah, T, Gahungu, P, Garland, RM, Grutter de la Mora, M, Hasheminassab, S, John, J, Kim, J, Kim, JS, Langerman, K, Lee, P-C, Lestari, P, Liu, Y, Mamo, T, Martins, M, Mayol-Bracero, OL, Naidoo, M, Park, SS, Schechner, Y, Schofield, R, Tripathi, SN, Windwer, E, Wu, M-T, Zhang, Q, Brauer, M, Rudich, Y & Martin, RV 2024, 'Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications', ACS EST Air, vol. 1, no. 4, pp. 283-293. https://doi.org/10.1021/acsestair.3c00069

TY - JOUR

T1 - Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications

AU - Liu, Xuan

AU - Turner, Jay R.

AU - Oxford, Christopher R.

AU - McNeill, Jacob

AU - Walsh, Brenna

AU - Le Roy, Emmie

AU - Weagle, Crystal L.

AU - Stone, Emily

AU - Zhu, Haihui

AU - Liu, Wenyu

AU - Wei, Zilin

AU - Hyslop, Nicole P.

AU - Giacomo, Jason

AU - Dillner, Ann M.

AU - Salam, Abdus

AU - Hossen, Al-amin

AU - Islam, Zubayer

AU - Abboud, Ihab

AU - Akoshile, Clement

AU - Amador-Muñoz, Omar

AU - Anh, Nguyen Xuan

AU - Asfaw, Araya

AU - Balasubramanian, Rajasekhar

AU - Chang, Rachel Ying-Wen

AU - Coburn, Craig

AU - Dey, Sagnik

AU - Diner, David J.

AU - Dong, Jinlu

AU - Farrah, Tareq

AU - Gahungu, Paterne

AU - Garland, Rebecca M.

AU - Grutter de la Mora, Michel

AU - Hasheminassab, Sina

AU - John, Juanette

AU - Kim, Jhoon

AU - Kim, Jong Sung

AU - Langerman, Kristy

AU - Lee, Pei-Chen

AU - Lestari, Puji

AU - Liu, Yang

AU - Mamo, Tesfaye

AU - Martins, Mathieu

AU - Mayol-Bracero, Olga L.

AU - Naidoo, Mogesh

AU - Park, Sang Seo

AU - Schechner, Yoav

AU - Schofield, Robyn

AU - Tripathi, Sachchida N.

AU - Windwer, Eli

AU - Wu, Ming-Tsang

AU - Zhang, Qiang

AU - Brauer, Michael

AU - Rudich, Yinon

AU - Martin, Randall V.

N1 - his work was supported by the Clean Air Fund and the National Science Foundation (Grant 2020673), with additional contributions from NASA and the US Agency for International Development via the MAIA project at the Jet Propulsion Laboratory, California Institute of Technology. The work of S.H. and D.J.D. was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Y.R. acknowledges support by research grants from the Israel Science Foundation (grant #928/21) and by Horizon Europe Framework Program (EASVOLEE, No. 101095457). We acknowledge technical support from the Sherbrooke site at the Université de Sherbrooke, Département de geomatique appliquée, especially the technical assistance provided by Patrick Menard and support from the site principal investigator Norman T. O’Neill. We acknowledge the technical support provided by Vadim Holodovsky and Tamar Klein at the Haifa site. We are grateful to the dynamic team of numerous SPARTAN site operators for their careful collection of samples. We thank Maya Arnott, Kyla Fung, Michelle Kaibara, Maya Mehrotra, Manasi Pawar, Yuxuan Ren, Guinter Vogg, and Emma Walter for contributing to the laboratory analyses of collected samples.

PY - 2024/4/12

Y1 - 2024/4/12

N2 - Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019–2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 μg/m3) in PM2.5 is also found in Dhaka (Bangladesh) along with a high average TEO level (6 μg/m3). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.

AB - Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019–2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 μg/m3) in PM2.5 is also found in Dhaka (Bangladesh) along with a high average TEO level (6 μg/m3). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.

U2 - https://doi.org/10.1021/acsestair.3c00069

DO - https://doi.org/10.1021/acsestair.3c00069

M3 - مقالة

VL - 1

SP - 283

EP - 293

JO - ACS EST Air

JF - ACS EST Air

IS - 4

ER -

Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications

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