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Estimating the Additional Greenhouse Gas Emissions in Korea: Focused on Demolition of Asbestos Containing Materials in Building

View Article: PubMed Central - PubMed

ABSTRACT

When asbestos containing materials (ACM) must be removed from the building before demolition, additional greenhouse gas (GHG) emissions are generated. However, precedent studies have not considered the removal of ACM from the building. The present study aimed to develop a model for estimating GHG emissions created by the ACM removal processes, specifically the removal of asbestos cement slates (ACS). The second objective was to use the new model to predict the total GHG emission produced by ACM removal in the entire country of Korea. First, an input-equipment inventory was established for each step of the ACS removal process. Second, an energy consumption database for each equipment type was established. Third, the total GHG emission contributed by each step of the process was calculated. The GHG emissions generated from the 1,142,688 ACS-containing buildings in Korea was estimated to total 23,778 tonCO2eq to 132,141 tonCO2eq. This study was meaningful in that the emissions generated by ACS removal have not been studied before. Furthermore, the study deals with additional problems that can be triggered by the presence of asbestos in building materials. The method provided in this study is expected to contribute greatly to the calculation of GHG emissions caused by ACM worldwide.

No MeSH data available.


Related in: MedlinePlus

Diagram of GHG emission per weight of cargo truck in tons, based on units of ACS area.
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ijerph-13-00902-f004: Diagram of GHG emission per weight of cargo truck in tons, based on units of ACS area.

Mentions: To develop the estimation model for the transportation stage, the GHG emission per unit ACS area (kgCO2eq/km∙m2) for each ton of the cargo truck load (Table 9) was analyzed. A regression analysis was performed in SPSS (Statistical Package for Social Science) to analyze the relationship between GHG emission and weight of cargo load. The result was the GHG emission generated by the transport of 1 m2 of ACS over 1 km by a cargo truck. Table 10 and Figure 4 show the regression analysis results. As determined by the regression results, the GHG estimation model for the transportation stage can be expressed as Equation (6). An integration model was then derived by summing the estimation models for ACS removal and transportation:(6)CO2eq Emission (kg)=(0.0038×T−0.608×M) × TSACSwhere CO2eq Emissions is the GHG emission of ACS transportation stage; T is the tonnage of cargo-truck; M is the distance to landfills; and TSACS is the area of ACS in each cargo-truck as Table 9.


Estimating the Additional Greenhouse Gas Emissions in Korea: Focused on Demolition of Asbestos Containing Materials in Building
Diagram of GHG emission per weight of cargo truck in tons, based on units of ACS area.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5036735&req=5

ijerph-13-00902-f004: Diagram of GHG emission per weight of cargo truck in tons, based on units of ACS area.
Mentions: To develop the estimation model for the transportation stage, the GHG emission per unit ACS area (kgCO2eq/km∙m2) for each ton of the cargo truck load (Table 9) was analyzed. A regression analysis was performed in SPSS (Statistical Package for Social Science) to analyze the relationship between GHG emission and weight of cargo load. The result was the GHG emission generated by the transport of 1 m2 of ACS over 1 km by a cargo truck. Table 10 and Figure 4 show the regression analysis results. As determined by the regression results, the GHG estimation model for the transportation stage can be expressed as Equation (6). An integration model was then derived by summing the estimation models for ACS removal and transportation:(6)CO2eq Emission (kg)=(0.0038×T−0.608×M) × TSACSwhere CO2eq Emissions is the GHG emission of ACS transportation stage; T is the tonnage of cargo-truck; M is the distance to landfills; and TSACS is the area of ACS in each cargo-truck as Table 9.

View Article: PubMed Central - PubMed

ABSTRACT

When asbestos containing materials (ACM) must be removed from the building before demolition, additional greenhouse gas (GHG) emissions are generated. However, precedent studies have not considered the removal of ACM from the building. The present study aimed to develop a model for estimating GHG emissions created by the ACM removal processes, specifically the removal of asbestos cement slates (ACS). The second objective was to use the new model to predict the total GHG emission produced by ACM removal in the entire country of Korea. First, an input-equipment inventory was established for each step of the ACS removal process. Second, an energy consumption database for each equipment type was established. Third, the total GHG emission contributed by each step of the process was calculated. The GHG emissions generated from the 1,142,688 ACS-containing buildings in Korea was estimated to total 23,778 tonCO2eq to 132,141 tonCO2eq. This study was meaningful in that the emissions generated by ACS removal have not been studied before. Furthermore, the study deals with additional problems that can be triggered by the presence of asbestos in building materials. The method provided in this study is expected to contribute greatly to the calculation of GHG emissions caused by ACM worldwide.

No MeSH data available.


Related in: MedlinePlus