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Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

机译：使用组合地球科学统计方法与来自卫星，模型和监视器的信息的细颗粒物质化学成分的区域估计

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Aaron van Donkelaar; Randall V. Martin; Chi Li; Richard T. Burnett;
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1. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors [J] . van Donkelaar Aaron, Martin Randall V., Li Chi, Environmental Science & Technology . 2019,第5期

机译：利用地球科学-统计方法结合卫星，模型和监测器的信息，对细颗粒物的化学成分进行区域估算
2. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors [J] . Aaron van Donkelaar, Randall V. Martin, Michael Brauer, Environmental Science & Technology . 2016,第7期

机译：利用地球物理统计方法结合卫星，模型和监测器的信息对细颗粒物进行全球估算
3. Trends in Chemical Composition of Global and Regional Population-Weighted Fine Particulate Matter Estimated for 25 Years [J] . Chi Li, Randall V. Martin, Aaron van Donkelaar, Environmental Science & Technology . 2017,第19期

机译：估计25年间全球和区域加权加权细颗粒物质的化学组成趋势
4. Study of stationary combustion source fine particulate matter (PM_(2.5)) emissions and chemical compositions and their relationships to operation conditions [C] . Enrique Posada, Miryam Gomez, Mauricio Correa, Air and Waste Management Association annual conference and exhibition . 2012

机译：固定燃烧源细颗粒物（PM_（2.5））排放和化学成分及其与工况的关系研究
5. Integration of satellite remote sensing and ground-based measurements for modelling the spatiotemporal distribution of fine particulate matter at a regional scale. [D] . Tian, Jie. 2009

机译：集成了卫星遥感技术和地面测量技术，可以对区域规模的细颗粒物的时空分布进行建模。
6. A hierarchical model for estimating the exposure-response curve by combining multiple studies of acute lower respiratory infections in children and household fine particulate matter air pollution [O] . Joshua P. Keller, Joanne Katz, Amod K. Pokhrel, 2020

机译：一种分层模型用于估计抗曝光曲线的抗呼应曲线通过组合儿童和家用细颗粒物气污染的急性较低呼吸道感染多次研究
7. Simple statistical formulas for estimating biogeochemical properties of suspended particulate matter in the southern Baltic Sea potentially useful for optical remote sensing applications* Financial support for this research was provided by Statutory Research Programme No. I.1 at the Institute of Oceanology, Polish Academy of Sciences, by research grant No. N N306 2838 33 awarded to Sławomir B. Woźniak by the Polish Ministry of Science and Higher Education, and by the ‘SatBałtyk’ project funded by the European Union through the European Regional Development Fund (contract No. POIG.01.01.02-22-011/09 entitled ‘The Satellite Monitoring of the Baltic Sea Environment’). [O] . Sławomir B. Woźniak 2014

机译：估算波罗的海南部悬浮颗粒物生物地球化学特性的简单统计公式可能对光学遥感应用有用*波兰科学院海洋研究所法定研究计划第I.1号提供了对该研究的财政支持，由波兰科学和高等教育部授予sławomirB.Woźniak的研究资助号N N306 2838 33，以及欧洲联盟通过欧洲区域发展基金资助的“satBałtyk”项目（合同编号pOIG。 01.01.02-22-011 / 09题为“波罗的海环境的卫星监测”。

Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

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