Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Phuong D. M. Nguyen & Nika Martinussen & Gary Mallach & Ghazal Ebrahimi & Kori Jones & Naomi Zimmerman & Sarah B. Henderson, 2021. "Using Low-Cost Sensors to Assess Fine Particulate Matter Infiltration (PM 2.5 ) during a Wildfire Smoke Episode at a Large Inpatient Healthcare Facility," IJERPH, MDPI, vol. 18(18), pages 1-17, September.
- Jun Ho Jo & ByungWan Jo & Jung Hoon Kim & Ian Choi, 2020. "Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM 10 ) in Subway Tunnels," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
- Hyunsik Kim & Sungho Tae, 2021. "Evaluation Model for Particulate Matter Emissions in Korean Construction Sites," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
- Gonçalo Marques & Cristina Roque Ferreira & Rui Pitarma, 2018. "A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
- Hyunsik Kim & Sungho Tae & Jihwan Yang, 2020. "Calculation Methods of Emission Factors and Emissions of Fugitive Particulate Matter in South Korean Construction Sites," Sustainability, MDPI, vol. 12(23), pages 1-13, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Cichowicz, Robert & Dobrzański, Maciej, 2022. "3D spatial dispersion of particulate matter and gaseous pollutants on a university campus in the center of an urban agglomeration," Energy, Elsevier, vol. 259(C).
- Christos Spandonidis & Dimitrios Paraskevopoulos & Christina Saravanos, 2023. "Neighborhood-Level Particle Pollution Assessment during the COVID-19 Pandemic via a Novel IoT Solution," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Faraz Enayati Ahangar & Frank R. Freedman & Akula Venkatram, 2019. "Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
- M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
- Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
- Osama Alsamrai & Maria Dolores Redel-Macias & Sara Pinzi & M. P. Dorado, 2024. "A Systematic Review for Indoor and Outdoor Air Pollution Monitoring Systems Based on Internet of Things," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
- Joshua Ezekiel Rito & Neil Stephen Lopez & Jose Bienvenido Manuel Biona, 2021. "Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
- Noor S. Baqer & A. S. Albahri & Hussein A. Mohammed & A. A. Zaidan & Rula A. Amjed & Abbas M. Al-Bakry & O. S. Albahri & H. A. Alsattar & Alhamzah Alnoor & A. H. Alamoodi & B. B. Zaidan & R. Q. Malik , 2022. "Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(4), pages 591-613, December.
- Hyunsik Kim & Sungho Tae, 2021. "Evaluation Model for Particulate Matter Emissions in Korean Construction Sites," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
- Chris G. Buse & Aita Bezzola & Jordan Brubacher & Tim K. Takaro & Arthur L. Fredeen & Margot W. Parkes, 2022. "Cumulative Impacts of Diverse Land Uses in British Columbia, Canada: Application of the “EnviroScreen” Method," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
- Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
- Jihwan Yang & Sungho Tae & Hyunsik Kim, 2021. "Technology for Predicting Particulate Matter Emissions at Construction Sites in South Korea," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
More about this item
Keywords
construction site; dust; particulate matter; IoT; monitor;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11510-:d:670210. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.