New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution
Abstract Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify l...
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2020-04-01
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Online Access: | https://doi.org/10.1029/2018GH000167 |
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doaj-1640881a1d874578bc3b87a818d747602021-08-09T09:31:03ZengAmerican Geophysical Union (AGU)GeoHealth2471-14032020-04-0144n/an/a10.1029/2018GH000167New Approaches to Identifying and Reducing the Global Burden of Disease From PollutionGabriel Filippelli0Susan Anenberg1Mark Taylor2Alexander vanGeen3Haneen Khreis4Department of Earth Sciences and Center for Urban Health Indiana University‐Purdue University at Indianapolis (IUPUI) Indianapolis IN USAMilken Institute, School of Public Health George Washington University Washington DC USADepartment of Environmental Sciences Macquarie University Sydney New South Wales AustraliaLamont‐Doherty Earth Observatory Columbia University New York NY USATexas A&M Transportation Institute Texas A&M University College Station TX USAAbstract Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify legacy and current sources and to develop and implement effective techniques to reduce human exposure. But many limitations exist in our understanding of the distribution and transport processes of pollutants themselves, as well as the complicated overprint of human behavior and susceptibility. New approaches are being developed to identify and eliminate pollution in multiple environments. Community‐scale detection of geogenic arsenic and fluoride in Bangladesh is helping to map the distribution of these harmful elements in drinking water. Biosensors such as bees and their honey are being used to measure heavy metal contamination in cities such as Vancouver and Sydney. Drone‐based remote sensors are being used to map metal hot spots in soils from former mining regions in Zambia and Mozambique. The explosion of low‐cost air monitors has allowed researchers to build dense air quality sensing networks to capture ephemeral and local releases of harmful materials, building on other developments in personal exposure sensing. And citizen science is helping communities without adequate resources measure their own environments and in this way gain agency in controlling local pollution exposure sources and/or alerting authorities to environmental hazards. The future of GeoHealth will depend on building on these developments and others to protect a growing population from multiple pollution exposure risks.https://doi.org/10.1029/2018GH000167pollutionleadair qualitycitizen sciencesoildust |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriel Filippelli Susan Anenberg Mark Taylor Alexander vanGeen Haneen Khreis |
spellingShingle |
Gabriel Filippelli Susan Anenberg Mark Taylor Alexander vanGeen Haneen Khreis New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution GeoHealth pollution lead air quality citizen science soil dust |
author_facet |
Gabriel Filippelli Susan Anenberg Mark Taylor Alexander vanGeen Haneen Khreis |
author_sort |
Gabriel Filippelli |
title |
New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_short |
New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_full |
New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_fullStr |
New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_full_unstemmed |
New Approaches to Identifying and Reducing the Global Burden of Disease From Pollution |
title_sort |
new approaches to identifying and reducing the global burden of disease from pollution |
publisher |
American Geophysical Union (AGU) |
series |
GeoHealth |
issn |
2471-1403 |
publishDate |
2020-04-01 |
description |
Abstract Pollution from multiple sources causes significant disease and death worldwide. Some sources are legacy, such as heavy metals accumulated in soils, and some are current, such as particulate matter. Because the global burden of disease from pollution is so high, it is important to identify legacy and current sources and to develop and implement effective techniques to reduce human exposure. But many limitations exist in our understanding of the distribution and transport processes of pollutants themselves, as well as the complicated overprint of human behavior and susceptibility. New approaches are being developed to identify and eliminate pollution in multiple environments. Community‐scale detection of geogenic arsenic and fluoride in Bangladesh is helping to map the distribution of these harmful elements in drinking water. Biosensors such as bees and their honey are being used to measure heavy metal contamination in cities such as Vancouver and Sydney. Drone‐based remote sensors are being used to map metal hot spots in soils from former mining regions in Zambia and Mozambique. The explosion of low‐cost air monitors has allowed researchers to build dense air quality sensing networks to capture ephemeral and local releases of harmful materials, building on other developments in personal exposure sensing. And citizen science is helping communities without adequate resources measure their own environments and in this way gain agency in controlling local pollution exposure sources and/or alerting authorities to environmental hazards. The future of GeoHealth will depend on building on these developments and others to protect a growing population from multiple pollution exposure risks. |
topic |
pollution lead air quality citizen science soil dust |
url |
https://doi.org/10.1029/2018GH000167 |
work_keys_str_mv |
AT gabrielfilippelli newapproachestoidentifyingandreducingtheglobalburdenofdiseasefrompollution AT susananenberg newapproachestoidentifyingandreducingtheglobalburdenofdiseasefrompollution AT marktaylor newapproachestoidentifyingandreducingtheglobalburdenofdiseasefrompollution AT alexandervangeen newapproachestoidentifyingandreducingtheglobalburdenofdiseasefrompollution AT haneenkhreis newapproachestoidentifyingandreducingtheglobalburdenofdiseasefrompollution |
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