43 results found
Mead MI, Bevilacqua M, Loiseaux C, et al., 2022, Generalised network architectures for environmental sensing: Case studies for a digitally enabled environment, Array, Vol: 14
A digitally enabled environment is a setting which incorporates sensors coupled with reporting and analytics tools for understanding, observing or managing that environment. Large scale data collection and analysis are a part of the emerging digitally enabled approach for the characterisation and understanding of our environment. It is recognised as offering an effective methodology for addressing a range of complex and interrelated social, economic and environmental concerns. The development and construction of the approach requires advances in analytics control linked with a clear definition of the issues pertaining to the interaction between elements of these systems. This paper presents an analysis of selected issues in the field of analytics control. It also discusses areas of progress, and areas in need of further investigation as sensing networks evolve. Three case studies are described to illustrate these points. The first is a physical analytics test kit developed as a part of the “Reinvent the Toilet Challenge” (RTTC) for process control in a range of environments. The second case study is the Cranfield Urban Observatory that builds on elements of the RTTC and is designed to allow users to develop user interfaces to monitor, characterise and compare a variety of environmental and infrastructure systems plus behaviours (e.g., water distribution, power grids). The third is the Data and Analytics Facility for National Infrastructure, a cloud-based high-performance computing cluster, developed to receive, store and present such data to advanced analytical and visualisation tools.
Khokhar MF, 2021, Countries of the Indo-Gangetic Plain must unite against air pollution, NATURE, Vol: 598, Pages: 415-415, ISSN: 0028-0836
Alifa M, Bolster D, Mead MI, et al., 2020, The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia, ATMOSPHERIC RESEARCH, Vol: 246, ISSN: 0169-8095
Mohyeddin N, Abu Samah A, Chenoli SN, et al., 2020, The effects of synoptic and local meteorological condition on CO2, CH4, PM(10)and PM(2.5)at Bachok Marine Research Station (BMRS) in Peninsular Malaysia, METEOROLOGY AND ATMOSPHERIC PHYSICS, Vol: 132, Pages: 845-868, ISSN: 0177-7971
Bruni Zani N, Lonati G, Mead M, et al., 2020, Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks, ENVIRONMENTAL RESEARCH LETTERS, Vol: 15, ISSN: 1748-9326
Hodoli CG, Coulon F, Mead MI, 2020, Applicability of factory calibrated optical particle counters for high -density air quality monitoring networks in Ghana, HELIYON, Vol: 6
Bolas CG, Ferracci V, Robinson AD, et al., 2020, iDirac: a field-portable instrument for long-term autonomous measurements of isoprene and selected VOCs, ATMOSPHERIC MEASUREMENT TECHNIQUES, Vol: 13, Pages: 821-838, ISSN: 1867-1381
Shaw JT, Allen G, Pitt J, et al., 2019, A baseline of atmospheric greenhouse gases for prospective UK shale gas sites, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 684, Pages: 1-13, ISSN: 0048-9697
Allen G, Hollingsworth P, Kabbabe K, et al., 2019, The development and trial of an unmanned aerial system for the measurement of methane flux from landfill and greenhouse gas emission hotspots, WASTE MANAGEMENT, Vol: 87, Pages: 883-892, ISSN: 0956-053X
Farren NJ, Dunmore RE, Mead MI, et al., 2019, Chemical characterisation of water-soluble ions in atmospheric particulate matter on the east coast of Peninsular Malaysia, ATMOSPHERIC CHEMISTRY AND PHYSICS, Vol: 19, Pages: 1537-1553, ISSN: 1680-7316
Popoola OAM, Carruthers D, Lad C, et al., 2018, Use of networks of low cost air quality sensors to quantify air quality in urban settings, Atmospheric Environment, Vol: 194, Pages: 58-70, ISSN: 1352-2310
Low cost sensors are becoming increasingly available for studying urban air quality. Here we show how such sensors, deployed as a network, provide unprecedented insights into the patterns of pollutant emissions, in this case at London Heathrow Airport (LHR). Measurements from the sensor network were used to unequivocally distinguish airport emissions from long range transport, and then to infer emission indices from the various airport activities. These were used to constrain an air quality model (ADMS-Airport), creating a powerful predictive tool for modelling pollutant concentrations. For nitrogen dioxide (NO2), the results show that the non-airport component is the dominant fraction (∼75%) of annual NO2 around the airport and that despite a predicted increase in airport related NO2 with an additional runway, improvements in road traffic fleet emissions are likely to more than offset this increase. This work focusses on London Heathrow Airport, but the sensor network approach we demonstrate has general applicability for a wide range of environmental monitoring studies and air pollution interventions.
Mead MI, Castruccio S, Latif MT, et al., 2018, Impact of the 2015 wildfires on Malaysian air quality and exposure: a comparative study of observed and modeled data, ENVIRONMENTAL RESEARCH LETTERS, Vol: 13, ISSN: 1748-9326
Nadzir MSM, Ashfold MJ, Khan MF, et al., 2018, Spatial-temporal variations in surface ozone over Ushuaia and the Antarctic region: observations from in situ measurements, satellite data, and global models, ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, Vol: 25, Pages: 2194-2210, ISSN: 0944-1344
Oram DE, Ashfold MJ, Laube JC, et al., 2017, A growing threat to the ozone layer from short-lived anthropogenic chlorocarbons, ATMOSPHERIC CHEMISTRY AND PHYSICS, Vol: 17, Pages: 11929-11941, ISSN: 1680-7316
Ashfold MJ, Latif MT, Samah AA, et al., 2017, Influence of Northeast Monsoon cold surges on air quality in Southeast Asia, ATMOSPHERIC ENVIRONMENT, Vol: 166, Pages: 498-509, ISSN: 1352-2310
Jerrett M, Donaire-Gonzalez D, Popoola O, et al., 2017, Validating novel air pollution sensors to improve exposure estimates for epidemiological analyses and citizen science, Environmental Research, Vol: 158, Pages: 286-294, ISSN: 0013-9351
Low cost, personal air pollution sensors may reduce exposure measurement errors in epidemiological investigations and contribute to citizen science initiatives. Here we assess the validity of a low cost personal air pollution sensor. Study participants were drawn from two ongoing epidemiological projects in Barcelona, Spain. Participants repeatedly wore the pollution sensor − which measured carbon monoxide (CO), nitric oxide (NO), and nitrogen dioxide (NO2). We also compared personal sensor measurements to those from more expensive instruments. Our personal sensors had moderate to high correlations with government monitors with averaging times of 1-h and 30-min epochs (r ~ 0.38–0.8) for NO and CO, but had low to moderate correlations with NO2 (~0.04–0.67). Correlations between the personal sensors and more expensive research instruments were higher than with the government monitors. The sensors were able to detect high and low air pollution levels in agreement with expectations (e.g., high levels on or near busy roadways and lower levels in background residential areas and parks). Our findings suggest that the low cost, personal sensors have potential to reduce exposure measurement error in epidemiological studies and provide valid data for citizen science studies.
Latif MT, Dominick D, Ahamad F, et al., 2016, Seasonal and long term variations of surface ozone concentrations in Malaysian Borneo, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 573, Pages: 494-504, ISSN: 0048-9697
Popoola OAM, Stewart GB, Mead MI, et al., 2016, Development of a baseline-temperature correction methodology for electrochemical sensors and its implications for long-term stability, ATMOSPHERIC ENVIRONMENT, Vol: 147, Pages: 330-343, ISSN: 1352-2310
Dunmore RE, Hopkins JR, Lidster RT, et al., 2016, Development of a Combined Heart-Cut and Comprehensive Two-Dimensional Gas Chromatography System to Extend the Carbon Range of Volatile Organic Compounds Analysis in a Single Instrument, SEPARATIONS, Vol: 3
Dominick D, Latif MT, Juneng L, et al., 2015, Characterisation of particle mass and number concentration on the east coast of the Malaysian Peninsula during the northeast monsoon, ATMOSPHERIC ENVIRONMENT, Vol: 117, Pages: 187-199, ISSN: 1352-2310
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
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
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
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
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
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
Grieco G, Masiello G, Serio C, et al., 2011, Infrared Atmospheric Sounding Interferometer correlation interferometry for the retrieval of atmospheric gases: the case of H2O and CO2, APPLIED OPTICS, Vol: 50, Pages: 4516-4528, ISSN: 1559-128X
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
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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