scholarly journals Assessment of role of concrete factories in particulate matter emissions, 2015-2016, using the AQI index and zoning by GIS software (Case study: Nasr Kashan Concrete Factory)

2017 ◽  
Vol 4 (3) ◽  
pp. 149-155
Author(s):  
Shahnaz Kushkbaghi ◽  
Mohammad Hassan Ehrampoush ◽  
Seyed Abolghsem Mirhosseinidehabadi
Keyword(s):  
Particulate Matter ◽  
Particulate Matter Emissions ◽  
Gis Software

scholarly journals Technology for Predicting Particulate Matter Emissions at Construction Sites in South Korea

2021 ◽  
Vol 13 (24) ◽  
pp. 13792
Author(s):  
Jihwan Yang ◽  
Sungho Tae ◽  
Hyunsik Kim
Keyword(s):  
Particulate Matter ◽  
South Korea ◽  
Urban Areas ◽  
Emission Factor ◽  
National Level ◽  
Construction Sites ◽  
Economic Problems ◽  
Particulate Matter Emissions ◽  
Surrounding Areas

In recent years, particulate matter (PM) has emerged as a major social issue in various industries, particularly in East Asia. PM not only causes various environmental, social, and economic problems but also has a large impact on public health. Thus, there is an urgent requirement for reducing PM emissions. In South Korea, the PM generated at construction sites in urban areas directly or indirectly causes various environmental problems in surrounding areas. Construction sites are considered a major source of PM that must be managed at the national level. Therefore, this study aims to develop a technology for predicting PM emissions at construction sites. First, the major sources of PM at construction sites are determined. Then, PM emission factors are calculated for each source. Furthermore, an algorithm is developed for calculating PM emissions on the basis of an emission factor database, and a system is built for predicting PM emissions at construction sites. The reliability of the proposed technology is evaluated through a case study. The technology is expected to be used for predicting potential PM emissions at construction sites before the start of construction.

scholarly journals Case Study of In-Cab Pollutants for Nonroad Construction Equipment

10.29007/z2wj ◽  
2020 ◽  
Author(s):  
Phil Lewis ◽  
Rachel Mosier ◽  
Yongwei Shan
Keyword(s):  
Carbon Monoxide ◽  
Particulate Matter ◽  
Indoor Air ◽  
Construction Equipment ◽  
Exposure Limits ◽  
Increase Productivity ◽  
Air Conditioning Systems ◽  
Respirable Particulate

Like buildings, nonroad construction equipment with enclosed cabs have doors and windows, and heating, ventilating, and air conditioning systems; thus, these machines have their own indoor air quality (IAQ) environment. Understanding the role of thermal comfort and air pollutants can help equipment operators manage in-cab environments to reduce health concerns and increase productivity. The objective of this case study was to collect and analyze IAQ data from the cabs of nonroad equipment as it performed real-world activities. Using state-of-the-art IAQ instrumentation, data were collected for in-cab pollutant concentration levels including carbon monoxide, carbon dioxide, and respirable particulate matter. Concentrations of carbon monoxide did not exceed published exposure limits for IAQ, but they did approach the published limits. Concentrations of CO2 frequently exceeded IAQ recommended levels for adequate ventilation. Concentrations of respirable particulate matter frequently exceeded IAQ recommended levels. The case study yielded enough information to conclude that studying IAQ in nonroad equipment cabs is necessary to improve human health, safety, and productivity for equipment operators.

Parameter optimization of waste coal briquetting and particulate matter emissions test during combustion: A case study

2022 ◽  
Vol 294 ◽  
pp. 118621
Author(s):  
Zhenkun Guo ◽  
Zekai Miao ◽  
Fanhui Guo ◽  
Yang Guo ◽  
Yonghui Feng ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Parameter Optimization ◽  
Particulate Matter Emissions ◽  
Waste Coal

Putting Workers on the Map: Agricultural Atlases and the Willamette Valley’s Hidden Labor Landscape

2020 ◽  
Vol 51 (4) ◽  
pp. 409-437
Author(s):  
Alex Korsunsky
Keyword(s):  
Agricultural Landscape ◽  
Census Data ◽  
Agricultural Extension ◽  
Agricultural Labor ◽  
Extension Services ◽  
Agricultural Census ◽  
Spatial Narrative ◽  
Gis Software

Abstract Analyzing Oregon agricultural atlases from 1878 to 1958, I show that, despite these texts’ projection of impartial authority, they function to extend a discourse of natural bounty in which agricultural abundance is linked to inherent characteristics of the land, hiding the role of racialized and disenfranchised laborers in production. Using a combination of Agricultural Census data, historical and contemporary records from farmers and agricultural extension services, and GIS software, I demonstrate a method for reconstructing historical and contemporary agricultural labor landscapes, filling in—at least partially—the spatial absence of farmworkers. Using maps I have produced for a limited set of crops as a case study, alongside worker testimonies and ethnographic accounts, I argue that this sort of counter-mapping of the agricultural landscape can form the basis for an alternative spatial narrative of changing landscapes, replacing the depopulated and bountiful nature of conventional agricultural atlases with maps that reveal the agricultural landscape from a worker’s perspective that centers the hidden the toil and suffering entailed in the creation of Oregon’s agricultural bounty.

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