Abstract
Respiratory diseases caused or aggravated by dust or smoke (PM10 and PM2.5) are of concern to health officials in arid and semiarid regions where windblown dust constitutes a serious threat to public health. This paper presents early results of work on Public Health Applications in Remote Sensing (PHAiRS), a project that seeks to integrate NASA remote-sensing products into an existing public health decision-support system. With the goal of forecasting dust events, the project relies on outputs from the Dust Regional Atmospheric Model (DREAM). To characterize and establish baseline model behavior prior to the anticipated substitution of specified model parameters with NASA Earth Science data, a point-by-point comparison between in-situ observations and baseline DREAM model output is performed across reporting stations from north-central New Mexico to the Texas gulf coast for the two-day dust event of December 15-16, 2003.
Original language | English (US) |
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State | Published - 2005 |
Event | 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security - St. Petersburg, Russian Federation Duration: Jun 20 2005 → Jun 24 2005 |
Other
Other | 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security |
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Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 6/20/05 → 6/24/05 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Environmental Engineering