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Production and Measurement of Organic Particulate Matter in a Flow Tube Reactor
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Data on different sized particulate matter concentration produced from a construction activity.

Daniel Cheriyan1, Jae-Ho Choi1

  • 1Dept. of Civil Engineering, Dong-A University, 550Bungil 37, Nakdong-Daero, Saha-Gu, Busan, 49315 South Korea.

Data in Brief
|November 16, 2020
PubMed
Summary

Construction activities, like building concrete walls, generate particulate matter (PM). This study monitored PM10, PM2.5, and PM1 levels during wall construction to inform safety practices.

Keywords:
Construction dustLow-cost dust sensorMonte Carlo simulationOccupational healthParticulate matter

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Area of Science:

  • Environmental Science
  • Occupational Health
  • Construction Engineering

Background:

  • Particulate matter (PM) generation is a significant byproduct of construction activities.
  • Understanding PM exposure is crucial for worker health and environmental safety in construction.
  • Existing data on PM emissions from specific construction tasks, like concrete block wall construction, is limited.

Purpose of the Study:

  • To quantify the concentration of PM10, PM2.5, and PM1 emitted during the construction of a solid concrete block wall.
  • To provide a dataset for analyzing PM production and propagation from construction sites.
  • To enhance awareness among construction professionals regarding PM exposure and inform improved construction practices.

Main Methods:

  • Experimental investigation involving the construction of a solid concrete block wall.
  • Collocation of Alphasense OPC-N2 and Sharp GP2Y1010 sensors in monitoring stations (MS).
  • High-frequency data collection (2-second intervals) over a 40-minute activity period to capture PM concentrations.

Main Results:

  • The study successfully measured and recorded PM10, PM2.5, and PM1 concentrations during the specified construction activity.
  • The collected data provides a detailed temporal profile of PM emissions throughout the wall-building process.
  • Sensor collocation ensured data reliability for particulate matter monitoring.

Conclusions:

  • The generated dataset offers valuable insights into PM emissions from concrete block wall construction.
  • This data can be instrumental in developing targeted strategies to mitigate PM exposure in construction environments.
  • Findings support the need for increased awareness and refinement of construction practices to manage airborne particulate matter.