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Article: Towards a Smart City: Development and application of an improved integrated environmental monitoring system

TitleTowards a Smart City: Development and application of an improved integrated environmental monitoring system
Authors
KeywordsSmart sensor
Environmental monitoring
Sustainable planning
Smart City
Issue Date2018
Citation
Sustainability (Switzerland), 2018, v. 10, n. 3, article no. 623, p. 1-16 How to Cite?
Abstract© 2018 by the authors. Environmental deprivation is an issue influencing the urban wellbeing of a city. However, there are limitations to spatiotemporally monitoring the environmental deprivation. Thus, recent studies have introduced the concept of "Smart City" with the use of advanced technology for real-time environmental monitoring. In this regard, this study presents an improved Integrated Environmental Monitoring System (IIEMS) with the consideration on nine environmental parameters: temperature, relative humidity, PM2.5, PM10, CO, SO2, volatile organic compounds (VOCs), UV index, and noise. This system was comprised of a mobile unit and a server-based platform with nine highly accurate micro-sensors in-coupling into the mobile unit for estimating these environmental exposures. A calibration test using existing monitoring station data was conducted in order to evaluate the systematic errors. Two applications with the use of the new system were also conducted under different scenarios: pre- and post-typhoon days and in areas with higher and lower vegetation coverage. Linear regressions were applied to predict the changes in environmental quality after a typhoon and to estimate the difference in environmental exposures between urban roads and green spaces. The results show that environmental exposures interact with each other, while some exposures are also controlled by location. PM2.5had the highest change after a typhoon with an estimated 8.0 μg/m3decrease that was controlled by other environmental factors and geographical location. Sound level and temperature were significantly higher on urban roads than in urban parks. This study demonstrates the potential to use IIEMS for environmental quality measurements under the greater framework of a Smart City and for sustainability research.
Persistent Identifierhttp://hdl.handle.net/10722/265736
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, Man Sing-
dc.contributor.authorWang, Tingneng-
dc.contributor.authorHo, Hung Chak-
dc.contributor.authorKwok, Coco Y.T.-
dc.contributor.authorLu, Keru-
dc.contributor.authorAbbas, Sawaid-
dc.date.accessioned2018-12-03T01:21:32Z-
dc.date.available2018-12-03T01:21:32Z-
dc.date.issued2018-
dc.identifier.citationSustainability (Switzerland), 2018, v. 10, n. 3, article no. 623, p. 1-16-
dc.identifier.urihttp://hdl.handle.net/10722/265736-
dc.description.abstract© 2018 by the authors. Environmental deprivation is an issue influencing the urban wellbeing of a city. However, there are limitations to spatiotemporally monitoring the environmental deprivation. Thus, recent studies have introduced the concept of "Smart City" with the use of advanced technology for real-time environmental monitoring. In this regard, this study presents an improved Integrated Environmental Monitoring System (IIEMS) with the consideration on nine environmental parameters: temperature, relative humidity, PM2.5, PM10, CO, SO2, volatile organic compounds (VOCs), UV index, and noise. This system was comprised of a mobile unit and a server-based platform with nine highly accurate micro-sensors in-coupling into the mobile unit for estimating these environmental exposures. A calibration test using existing monitoring station data was conducted in order to evaluate the systematic errors. Two applications with the use of the new system were also conducted under different scenarios: pre- and post-typhoon days and in areas with higher and lower vegetation coverage. Linear regressions were applied to predict the changes in environmental quality after a typhoon and to estimate the difference in environmental exposures between urban roads and green spaces. The results show that environmental exposures interact with each other, while some exposures are also controlled by location. PM2.5had the highest change after a typhoon with an estimated 8.0 μg/m3decrease that was controlled by other environmental factors and geographical location. Sound level and temperature were significantly higher on urban roads than in urban parks. This study demonstrates the potential to use IIEMS for environmental quality measurements under the greater framework of a Smart City and for sustainability research.-
dc.languageeng-
dc.relation.ispartofSustainability (Switzerland)-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectSmart sensor-
dc.subjectEnvironmental monitoring-
dc.subjectSustainable planning-
dc.subjectSmart City-
dc.titleTowards a Smart City: Development and application of an improved integrated environmental monitoring system-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/su10030623-
dc.identifier.scopuseid_2-s2.0-85042557985-
dc.identifier.volume10-
dc.identifier.issue3-
dc.identifier.spagearticle no. 623, p. 1-
dc.identifier.epagearticle no. 623, p. 16-
dc.identifier.eissn2071-1050-
dc.identifier.isiWOS:000428567100050-

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