Satellite Monitoring for Air Quality and Health.

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Annual Review of Biomedical Data Science Pub Date : 2021-07-20 Epub Date: 2021-06-01 DOI:10.1146/annurev-biodatasci-110920-093120
Tracey Holloway, Daegan Miller, Susan Anenberg, Minghui Diao, Bryan Duncan, Arlene M Fiore, Daven K Henze, Jeremy Hess, Patrick L Kinney, Yang Liu, Jessica L Neu, Susan M O'Neill, M Talat Odman, R Bradley Pierce, Armistead G Russell, Daniel Tong, J Jason West, Mark A Zondlo
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引用次数: 18

Abstract

Data from satellite instruments provide estimates of gas and particle levels relevant to human health, even pollutants invisible to the human eye. However, the successful interpretation of satellite data requires an understanding of how satellites relate to other data sources, as well as factors affecting their application to health challenges. Drawing from the expertise and experience of the 2016-2020 NASA HAQAST (Health and Air Quality Applied Sciences Team), we present a review of satellite data for air quality and health applications. We include a discussion of satellite data for epidemiological studies and health impact assessments, as well as the use of satellite data to evaluate air quality trends, support air quality regulation, characterize smoke from wildfires, and quantify emission sources. The primary advantage of satellite data compared to in situ measurements, e.g., from air quality monitoring stations, is their spatial coverage. Satellite data can reveal where pollution levels are highest around the world, how levels have changed over daily to decadal periods, and where pollutants are transported from urban to global scales. To date, air quality and health applications have primarily utilized satellite observations and satellite-derived products relevant to near-surface particulate matter <2.5 μm in diameter (PM2.5) and nitrogen dioxide (NO2). Health and air quality communities have grown increasingly engaged in the use of satellite data, and this trend is expected to continue. From health researchers to air quality managers, and from global applications to community impacts, satellite data are transforming the way air pollution exposure is evaluated.

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空气质量和健康卫星监测。
来自卫星仪器的数据提供了对与人类健康有关的气体和颗粒水平的估计,甚至是人眼看不见的污染物。然而,要成功地解释卫星数据,就需要了解卫星与其他数据源的关系,以及影响其应用于卫生挑战的因素。根据2016-2020年NASA健康和空气质量应用科学小组的专业知识和经验,我们对空气质量和健康应用的卫星数据进行了审查。我们讨论了用于流行病学研究和健康影响评估的卫星数据,以及利用卫星数据评估空气质量趋势、支持空气质量监管、描述野火烟雾特征和量化排放源。与空气质量监测站等现场测量数据相比,卫星数据的主要优势在于其空间覆盖范围。卫星数据可以揭示世界上污染水平最高的地方,污染水平在每天到十年的时间内是如何变化的,以及污染物从城市到全球范围内的运输位置。迄今为止,空气质量和健康应用主要利用卫星观测和与近地表颗粒物(2.5)和二氧化氮(NO2)相关的卫星衍生产品。卫生和空气质量领域越来越多地使用卫星数据,预计这一趋势将继续下去。从卫生研究人员到空气质量管理人员,从全球应用到社区影响,卫星数据正在改变评估空气污染暴露的方式。
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来源期刊
CiteScore
11.10
自引率
1.70%
发文量
0
期刊介绍: The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.
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