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Review: Strategies for using satellite-based products in modeling PM2.5 and short-term pollution episodes.
Environment International ( IF 11.8 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.envint.2020.106057
Meytar Sorek-Hamer 1 , Robert Chatfield 2 , Yang Liu 3
Affiliation  

Short-term air pollution episodes motivate improved understanding of the association between air pollution and acute morbidity and mortality episodes, and triggers required mitigation plans. A variety of methods have been employed to estimate exposure to air pollution episodes, including GIS-based dispersion models, interpolation between sparse monitoring sites, land-use regression models, optimization models, line- or area-dispersion plume models, and models using information from imaging satellites, often including land-use and meteorological variables. There has been increasing use of satellite-borne aerosol products for assessing short-term air quality events. They provide better spatial coverage, but currently at the price of low temporal coverage and rather crude spatial resolution. This is a brief review on using satellite data for modeling short-term air quality and pollution events. The review can be pursued as a practical guide for modeling air quality with satellite-based products, as it includes important questions that should be considered in both the study design as well as the model development stages. Progress in this field is detailed and includes published models and their use in environmental and health studies. Both current and future satellite-borne capabilities are covered. It also provides links to access and download relevant datasets and some example R code for data processing and modeling.



中文翻译:

点评:在基于PM2.5和短期污染事件的建模中使用基于卫星的产品的策略。

短期空气污染事件促使人们更好地理解空气污染与急性发病和死亡事件之间的关系,并触发了所需的缓解计划。已经采用了多种方法来评估空气污染事件的暴露程度,包括基于GIS的扩散模型,稀疏监视站点之间的插值,土地利用回归模型,优化模型,线或区域扩散羽状模型以及使用信息的模型。来自成像卫星,通常包括土地利用和气象变量。越来越多地使用卫星传播的气溶胶产品来评估短期空气质量事件。它们提供了更好的空间覆盖范围,但是目前是以低时间覆盖范围和粗略的空间分辨率为代价的。这是关于使用卫星数据为短期空气质量和污染事件建模的简短回顾。该审查可以作为使用卫星产品对空气质量进行建模的实用指南,因为它包括研究设计和模型开发阶段均应考虑的重要问题。该领域的进展是详细的,包括已发布的模型及其在环境和健康研究中的用途。涵盖了当前和未来的卫星能力。它还提供了访问和下载相关数据集的链接,以及一些用于数据处理和建模的示例R代码。因为它包括研究设计和模型开发阶段均应考虑的重要问题。该领域的进展是详细的,包括已发布的模型及其在环境和健康研究中的使用。涵盖了当前和未来的卫星能力。它还提供了访问和下载相关数据集的链接,以及一些用于数据处理和建模的示例R代码。因为它包括研究设计和模型开发阶段均应考虑的重要问题。该领域的进展是详细的,包括已发布的模型及其在环境和健康研究中的使用。涵盖了当前和未来的卫星能力。它还提供了访问和下载相关数据集的链接,以及一些用于数据处理和建模的示例R代码。

更新日期:2020-09-02
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