The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks

By M. I. Mead, O. Popoola, G. Stewart, P. Landshoff, M. Calleja, M. Hayes, J. Baldoví, M. McLeod, T. Hodgson, J. Dicks and 5 more. 2013

755 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/b72e1a05795a9d2123ae1a7144e530bb800f5656

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. William A. Lahoz
2. Prashant Kumar
3. Philipp Schneider
4. Lidia Morawska
5. Zoran D. Ristovski
6. R. Jayaratne

In Environmental Engineering

1. William A. Lahoz
2. Carlo Ratti
3. Philipp Schneider

In Health, Toxicology and Mutagenesis

1. Geoff Boeing

Citations in the corpus

• City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services (2018, background): “2 The works on air quality often include mete-orological measurements, predominantly being temperature and humidity, to correct the raw measurements for the effect of environmental parameters using a calibration mechanism (e.g., [14] and [22]).”
• Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? (2018, methodology): “Further, 11 such studies have monitored gaseous pollutants (Al Rasyid et al., 2016; Bart et al., 2014; David et al., 2013; Heimann et al., 2015; Ikram et al., 2012; Masson et al., 2015; Mead et al., 2013; Moltchanov et al., 2015; Sun et al., 2016; Weissert et al., 2017; Wen et al., 2013).”
• A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring (2018, neutral): “The challenge with low-cost air quality sensor calibration is that the sensors are prone to cross-sensitivities with other ambient pollutants (Bart et al., 2014; Cross et al., 2017; Masson et al., 2015b; Mead et al., 2013).”
• Review of the Performance of Low-Cost Sensors for Air Quality Monitoring (2019, background): “5 nephelometer Karagulian [28] open source Y 3000 Smart Citizen Kit CO MOs AQ-SPEC [19] black box Y 200 SNAQ NO2, CO,NO electrochemical Mead [44], Popoola [45] black box Y - Spec CO, NO2, O3 electrochemical AQ-SPEC [19] black box Y 500 Speck PM2.”
• Data assimilation: making sense of Earth Observation (2014, background): “The University of Cambridge data are described in Mead et al. (2013). the area of open data focuses on generating value through reuse of a specific type of data, namely, public sector information, sometimes also referred to as government data.”
• The rise of low-cost sensing for managing air pollution in cities. (2015, methodology): “Communication alternatives have included wi-fi links to an available local area network and cellular service, in some cases using General Packet Radio Service (GPRS) that is an integral part of the Global System for Mobile Communications, GSM (Air Monitors 2014; Mead et al. 2013).”