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المؤلفTariq H.
المؤلفAbdaoui A.
المؤلفTouati F.
المؤلفAl Hitmi M.A.
المؤلفCrescini D.
المؤلفMnaouer A.B.
تاريخ الإتاحة2022-05-22T11:03:02Z
تاريخ النشر2020
اسم المنشورAdvances in Science, Technology and Engineering Systems
المصدرScopus
المعرّفhttp://dx.doi.org/10.25046/AJ0506198
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31403
الملخصEnvironmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University).
اللغةen
الناشرASTES Publishers
الموضوعAir quality
Gas sensors node
IoT
Mapping
Multi-variable environmental
العنوانReal-time gradient-aware indigenous AQI estimation IoT platform
النوعArticle
الصفحات1666-1673
رقم العدد6
رقم المجلد5
dc.accessType Abstract Only


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