Publications
48 results found
Heimann I, Bright VB, McLeod MW, et al., 2015, Source attribution of air pollution by spatial scale separation using high spatial density networks of low cost air quality sensors, ATMOSPHERIC ENVIRONMENT, Vol: 113, Pages: 10-19, ISSN: 1352-2310
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- Citations: 86
Mueller MD, Hasenfratz D, SaUKh O, et al., 2014, Statistical modelling of pollutant concentration in the urban environment at high spatial and temporal resolution by utilizing data from sensor networks, Pages: 374-378
We developed a statistical modelling approach for the generation of pollutant concentration maps at high spatio-temporal resolution (30 minutes, 10 m) focusing on the application in the urban environment. The statistical models rely on data from sensor networks and georeferenced information. We explore the potential of this modelling approach by using data sets originating from the OpenSense mobile sensor network in Zurich and the Cambridge air pollution sensor network.
Nadzir MSM, Phang SM, Abas MR, et al., 2014, Bromocarbons in the tropical coastal and open ocean atmosphere during the 2009 Prime Expedition Scientific Cruise (PESC-09), ATMOSPHERIC CHEMISTRY AND PHYSICS, Vol: 14, Pages: 8137-8148, ISSN: 1680-7316
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- Citations: 17
Edmonds M, Sides IR, Swanson DA, et al., 2013, Magma storage, transport and degassing during the 2008-10 summit eruption at Kilauea Volcano, Hawai'i, GEOCHIMICA ET COSMOCHIMICA ACTA, Vol: 123, Pages: 284-301, ISSN: 0016-7037
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- Citations: 46
Mead MI, Popoola OAM, Stewart GB, et al., 2013, The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks, ATMOSPHERIC ENVIRONMENT, Vol: 70, Pages: 186-203, ISSN: 1352-2310
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- Citations: 495
Bennett M, Christie SM, Graham A, et al., 2013, Abatement of an Aircraft Exhaust Plume Using Aerodynamic Baffles, ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol: 47, Pages: 2346-2352, ISSN: 0013-936X
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- Citations: 3
Newman SM, Larar AM, Smith WL, et al., 2012, The Joint Airborne IASI Validation Experiment: An evaluation of instrument and algorithms, JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, Vol: 113, Pages: 1372-1390, ISSN: 0022-4073
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- Citations: 11
Grieco G, Masiello G, Serio C, et al., 2011, Infrared Atmospheric Sounding Interferometer correlation interferometry for the retrieval of atmospheric gases: the case of H<sub>2</sub>O and CO<sub>2</sub>, APPLIED OPTICS, Vol: 50, Pages: 4516-4528, ISSN: 1559-128X
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- Citations: 12
Gardiner T, Mead MI, Garcelon S, et al., 2010, A lightweight near-infrared spectrometer for the detection of trace atmospheric species, REVIEW OF SCIENTIFIC INSTRUMENTS, Vol: 81, ISSN: 0034-6748
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- Citations: 12
Reeves CE, Formenti P, Afif C, et al., 2010, Chemical and aerosol characterisation of the troposphere over West Africa during the monsoon period as part of AMMA, ATMOSPHERIC CHEMISTRY AND PHYSICS, Vol: 10, Pages: 7575-7601, ISSN: 1680-7316
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- Citations: 60
North R, Cohen J, Wilkins S, et al., 2009, Field deployments of the environmental monitoring, Traffic Engineering and Control, Vol: 50, Pages: 484-488, ISSN: 0041-0683
This paper describes how the technologies developed in the MESSAGE project have been deployed in a series of real-world experiments to examine the relationship between transport and air pollution. Three different sensor systems have been developed to allow deployment on infrastructure, people and vehicles for both short and long term studies. This paper describes the field trials conducted using each of these systems in turn. The initial conclusions regarding the coordinated use of these sensors in the management of transport and air pollution are presented.
Cohen J, North R, Wilkins S, et al., 2009, Creating the message infrastructure, Traffic Engineering and Control, Vol: 50, Pages: 480-483, ISSN: 0041-0683
MESSAGE set out to make use of the ever-increasing power of computer infrastructure in order to support the capture, processing, archiving, analysis and visualisation of pollution data. This paper describes how the MESSAGE e-Science architecture was developed facilitating the whole process from the capture of data through to its use. This covers the difficult process of taking data from sensor nodes, pre-processing it where necessary and then storing it in an infrastructure capable of making it available for use in a wide range of different applications and processes.
Khan MAH, Mead MI, Nickless G, et al., 2009, Sorbent Tube Sampling and an Automated Thermal Desorption System for Halocarbon Analysis, TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, Vol: 20, Pages: 345-353, ISSN: 1017-0839
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- Citations: 3
Khan MAH, Mead MI, White IR, et al., 2009, Year-long measurements of C<sub>1</sub>-C<sub>3</sub> halocarbons at an urban site and their relationship with meteorological parameters, ATMOSPHERIC SCIENCE LETTERS, Vol: 10, Pages: 75-86, ISSN: 1530-261X
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- Citations: 10
Mead MI, Khan MAH, White IR, et al., 2008, Methyl halide emission estimates from domestic biomass burning in Africa, ATMOSPHERIC ENVIRONMENT, Vol: 42, Pages: 5241-5250, ISSN: 1352-2310
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- Citations: 12
Mead MI, White LR, Nickless G, et al., 2008, An estimation of the global emission of methyl bromide from rapeseed (<i>Brassica napus</i>) from 1961 to 2003, ATMOSPHERIC ENVIRONMENT, Vol: 42, Pages: 337-345, ISSN: 1352-2310
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- Citations: 9
Mead MI, Khan MAH, Bull ID, et al., 2008, Stable carbon isotope analysis of selected halocarbons at parts per trillion concentration in an urban location, ENVIRONMENTAL CHEMISTRY, Vol: 5, Pages: 340-346, ISSN: 1448-2517
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- Citations: 6
Mead MI, Khan MAH, Nickless G, et al., 2008, Leaf cutter ants: a possible missing source of biogenic halocarbons, ENVIRONMENTAL CHEMISTRY, Vol: 5, Pages: 5-10, ISSN: 1448-2517
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- Citations: 8
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