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Author Hedgecock, W. ♦ Völgyesi, P. ♦ Ledeczi, A. ♦ Koutsoukos, X. ♦ Aldroubi, A. ♦ Szalay, A. ♦ Terzis, A.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Mobile Air Pollution Monitoring Network ♦ Air Quality ♦ Large Land Area ♦ Highresolution Realtime Pollution Data ♦ Coverage Area ♦ Mobile Car-mounted Sensor ♦ Web-based Application ♦ Specified Time Period ♦ Specific Region ♦ Static Data ♦ Smallscale Implementation ♦ Plan Route ♦ Current Method ♦ 24-hour Period ♦ Sparselylocated Sensor ♦ Estimate Exposure ♦ Minimal Exposure ♦ Low-resolution Image ♦ Irregularly-sampled Spatiotemporal Measurement ♦ Single Value ♦ Air Quality Index
Abstract Current methods of estimating air quality involve assigning a single value called the Air Quality Index (AQI) to a large land area for a 24-hour period based on a very few, sparselylocated sensors. This produces a low-resolution image of the air quality in that region. We have devised a new mobile air quality monitoring network with the ability to provide highresolution realtime pollution data at any location within the coverage area. We have prototyped sensors and proven the feasibility of the approach, and are currently testing a smallscale implementation using irregularly-sampled spatiotemporal measurements from mobile car-mounted sensors coupled with existing static data. This data feeds a web-based application, enabling users to view air quality in specific regions as well as estimate exposure over specified time periods and plan routes based on minimal exposure to a given pollutant.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study