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Developing a Smartphone Software Package for Predicting Atmospheric Pollutant Concentrations at Mobile Locations
The Computer Journal ( IF 1.4 ) Pub Date : 2014-07-27 , DOI: 10.1093/comjnl/bxu067
Andrew Larkin 1 , David E Williams 2 , Molly L Kile 3 , William M Baird 1
Affiliation  

There is considerable evidence that exposure to air pollution is harmful to health. In the U.S., ambient air quality is monitored by Federal and State agencies for regulatory purposes. There are limited options, however, for people to access this data in real-time which hinders an individual's ability to manage their own risks. This paper describes a new software package that models environmental concentrations of fine particulate matter (PM2.5), coarse particulate matter (PM10), and ozone concentrations for the state of Oregon and calculates personal health risks at the smartphone's current location. Predicted air pollution risk levels can be displayed on mobile devices as interactive maps and graphs color-coded to coincide with EPA air quality index (AQI) categories. Users have the option of setting air quality warning levels via color-coded bars and were notified whenever warning levels were exceeded by predicted levels within 10 km. We validated the software using data from participants as well as from simulations which showed that the application was capable of identifying spatial and temporal air quality trends. This unique application provides a potential low-cost technology for reducing personal exposure to air pollution which can improve quality of life particularly for people with health conditions, such as asthma, that make them more susceptible to these hazards.

中文翻译:

开发用于预测移动位置大气污染物浓度的智能手机软件包

有大量证据表明,暴露于空气污染对健康有害。在美国,联邦和州机构出于监管目的对环境空气质量进行监控。然而,人们实时访问这些数据的选择有限,这阻碍了个人管理自身风险的能力。本文介绍了一种新软件包,该软件包可以模拟俄勒冈州细颗粒物 (PM2.5)、粗颗粒物 (PM10) 和臭氧浓度的环境浓度,并计算智能手机当前位置的个人健康风险。预测的空气污染风险水平可以在移动设备上显示为交互式地图和图表,颜色编码与 EPA 空气质量指数 (AQI) 类别一致。用户可以选择通过颜色编码条设置空气质量警告级别,并在 10 公里内预测级别超过警告级别时收到通知。我们使用来自参与者的数据以及来自模拟的数据验证了该软件,这些数据表明该应用程序能够识别空间和时间的空气质量趋势。这种独特的应用提供了一种潜在的低成本技术,可以减少个人接触空气污染的机会,从而提高生活质量,特别是对于患有哮喘等健康问题的人来说,他们更容易受到这些危害的影响。我们使用来自参与者的数据以及来自模拟的数据验证了该软件,这些数据表明该应用程序能够识别空间和时间的空气质量趋势。这种独特的应用提供了一种潜在的低成本技术,可以减少个人接触空气污染的机会,从而提高生活质量,特别是对于患有哮喘等健康问题的人来说,他们更容易受到这些危害的影响。我们使用来自参与者的数据以及来自模拟的数据验证了该软件,这些数据表明该应用程序能够识别空间和时间的空气质量趋势。这种独特的应用提供了一种潜在的低成本技术,可以减少个人接触空气污染的机会,从而提高生活质量,特别是对于患有哮喘等健康问题的人来说,他们更容易受到这些危害的影响。
更新日期:2014-07-27
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