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Published in 2019 at "Environmental pollution"
DOI: 10.1016/j.envpol.2019.113195
Abstract: Mobile monitoring is a useful approach for measuring intra-urban variation of air pollution in urban environments. In this study, we used a mobile monitoring approach to study the spatial-temporal variability of air and noise pollution…
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Keywords:
pollution;
summer 2017;
air noise;
mobile monitoring ... See more keywords
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Published in 2022 at "Environmental science & technology"
DOI: 10.1021/acs.est.2c05338
Abstract: Short-term mobile monitoring campaigns are increasingly used to assess long-term air pollution exposure in epidemiology. Little is known about how monitoring network design features, including the number of stops and sampling temporality, impacts exposure assessment…
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Keywords:
pollution exposure;
air pollution;
mobile monitoring;
monitoring ... See more keywords
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Published in 2018 at "Environmental science & technology"
DOI: 10.1021/acs.est.7b05059
Abstract: Land-use regression (LUR) models of air pollutants are frequently developed on the basis of short-term stationary or mobile monitoring approaches, which raises the question of whether these two data collection protocols lead to similar exposure…
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Keywords:
term stationary;
exposure;
mobile monitoring;
exposure surfaces ... See more keywords
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Published in 2018 at "Environmental science & technology"
DOI: 10.1021/acs.est.8b03395
Abstract: Air pollution measurements collected through systematic mobile monitoring campaigns can provide outdoor concentration data at high spatial resolution. We explore approaches to minimize data requirements for mapping a city's air quality using mobile monitors with…
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Keywords:
street view;
google street;
mobile monitoring;
air ... See more keywords
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1
Published in 2021 at "Studies in health technology and informatics"
DOI: 10.3233/shti210881
Abstract: The care of diabetic patients in peripheral medical centers in Burkina Faso faces many difficulties. This work, which is a new experience, aimed to set up an information system for the care of diabetic patients…
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Keywords:
monitoring diabetic;
mobile monitoring;
burkina faso;
patients active ... See more keywords
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Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191610098
Abstract: Many epidemiological studies have evaluated the accuracy of machine learning models in predicting levels of particulate number (PN) and black carbon (BC) pollutant concentrations. However, few studies have investigated the ability of machine learning to…
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Keywords:
ability machine;
pollution;
machine;
machine learning ... See more keywords
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Published in 2020 at "Atmospheric Chemistry and Physics"
DOI: 10.5194/acp-2020-1169
Abstract: Abstract. The development of low-cost sensors and novel calibration algorithms provides new hints to complement conventional ground-based observation sites to evaluate the spatial and temporal distribution of pollutants on hyper-local scales (tens of meters). Here…
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Keywords:
traffic;
mobile monitoring;
air;
low cost ... See more keywords