Determination and Sorting of Asbestos-Containing Material by Visual Observation

Hiroshi Asakura; Mikio Kawasaki; Kazuyuki Suzuki; Kei Nakagawa; Yoichi Watanabe

doi:doi:10.11648/j.ajep.20140305.21

| Peer-Reviewed

Determination and Sorting of Asbestos-Containing Material by Visual Observation

Hiroshi Asakura, Mikio Kawasaki, Kazuyuki Suzuki, Kei Nakagawa, Yoichi Watanabe

Published in American Journal of Environmental Protection (Volume 3, Issue 5)

Received: 31 October 2014 Accepted: 5 November 2014 Published: 20 November 2014

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

A rapid method for the determination of asbestos fiber at an intermediate treatment facility for construction and demolition waste (CDW) is required. Although the rapid method which involves visual observation has been developed, the determination accuracy and time are unknown. The purpose of this study was to determine the identification rate of asbestos-containing material (ACM: > 0.1w%), the time required for asbestos fiber determination by visual observation, and the asbestos content in CDW. After participating in a short training course for ACM determination, persons who did not have any knowledge of asbestos fiber determination were able to determine ACM in CDW by visual observation. Using the results of visual observation, an ACM sorting model was formulated. The model enabled simulation of asbestos content after sorting by inputting asbestos content distribution into CDW before sorting. However, 0.35 w% of asbestos still remained in the non-ACM fraction, i.e., the content was > 0.1 w%. The relationship between the number of sorters and the total sorting time for disaster waste from the Great East Japan Earthquake was presented. It was found that a very long time and a large number of people were required for sorting.

Published in	American Journal of Environmental Protection (Volume 3, Issue 5)
DOI	10.11648/j.ajep.20140305.21
Page(s)	275-282
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Asbestos, Construction and Demolition Waste, Visual Observation, Sorting

References

[1]	Saitama Japan Industrial Waste Association (ed.), 2011. Safety management manual for aggregate recycling. Saitama, Japan (in Japanese).
[2]	Bishop, K., Ring, S.J., Zoltai, T., Manos, C.G., Ahrens, V.D., Lisk, D.J., 1985. Identification of asbestos and glass fibers in municipal sewage sludges. Bulletin of Environmental Contamination and Toxicology 34 (1), 301–308.
[3]	Tadas, P., Dainius, M., Edvinas, K., Linas, K., Maksim, K., Axel, Z., 2011. Comparative characterization of particle emissions from asbestos and non-asbestos cement roof slates. Building and Environment 46 (11), 2295–2302.
[4]	Plescia, P., Gizzi, D., Benedetti, S., Camilucci, L., Fanizza, C., De Simone, P., Paglietti, F., 2003. Mechanochemical treatment to recycling asbestos-containing waste. Waste Management 23 (3), 209–218.
[5]	Min, S., Maken, S., Park, J., Gaur, A., Hyun, J., 2008. Melting treatment of waste asbestos using mixture of hydrogen and oxygen produced from water electrolysis. Korean Journal of Chemical Engineering 25 (2), 323–328.
[6]	Zaremba, T., Peszko, M., 2008. Investigation of the thermal modification of asbestos wastes for potential use in ceramic formulation. Journal of Thermal Analysis and Calorimetry 92 (3), 873–877.
[7]	Gualtieri, A.F., Giacobbe, C., Sardisco, L., Saraceno, M., Gualtieri, M.L., Lusvardi, G., Cavenati, C., Zanatto, I., 2011. Recycling of the product of thermal inertization of cement–asbestos for various industrial applications. Waste Management 31 (1), 91–100.
[8]	Osada, M., Takamiya, K., Manako, K., Noguchi, M., Sakai, S., 2013. Demonstration study of high temperature melting for asbestos-containing waste (ACW). Journal of Material Cycles and Waste Management 15 (1), 25–36.
[9]	Radvanec, M., Tuček, Ľ., Derco, J., Čechovská, K., Németh Z., 2013. Change of carcinogenic chrysotile fibers in the asbestos cement (eternit) to harmless waste by artificial carbonatization: Petrological and technological results. Journal of Hazardous Materials 252–253, 390–400.
[10]	Ruud, C.O., Barrett, C.S., Russell, P.A., Clark, R.L., 1969. Selected area electron diffraction and energy dispersive X-ray analysis for the identification of asbestos fibres, a comparison. Micron 7 (2), 115–132.
[11]	Pooley, F.D., 1975. The identification of asbestos dust with an electron microscope microprobe analyser. The Annals of Occupational Hygiene 18 (3), 181–186.
[12]	Taylor, D.G., Baron, P.A., Shulman, S.A., Carter, J.W., 1984. Identification and counting of asbestos fibers. American Industrial Hygiene Association Journal 45 (2), 84–88.
[13]	Bard, D., Yarwood, J., Tylee, B., 1997. Asbestos fibre identification by Raman microspectro scopy. Journal of Raman Spectroscopy 28 (10), 803–809.
[14]	Bassani, C., Cavalli, R.M., Cavalcante, F., Cuomo, V., Palombo, A., Pascucci, S., Pignatti, S., 2007. Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data. Remote Sensing of Environment 109 (3), 361–378.
[15]	Asakura, H., Watanabe, Y., Ono, Y., Yamada, M., Inoue, Y., Alfaro, A.M., 2010. Characteristics of fine processed construction and demolition waste in Japan and method to obtain fines having low gypsum component and wood contents. Waste Management and Research 28, 634–646.
[16]	Japan ML (Ministry of Land, Infrastructure and Transport in Japan) (ed.), 2006. Database for asbestos containing material, Tokyo, Japan (in Japanese).
[17]	Japan ME (Ministry of Environment in Japan) (ed.), 2013. Progress of treatment and disposal of the disaster waste, Tokyo, Japan (in Japanese).

Cite This Article

Plain Text BibTeX RIS

APA Style

Hiroshi Asakura, Mikio Kawasaki, Kazuyuki Suzuki, Kei Nakagawa, Yoichi Watanabe. (2014). Determination and Sorting of Asbestos-Containing Material by Visual Observation. American Journal of Environmental Protection, 3(5), 275-282. https://doi.org/10.11648/j.ajep.20140305.21

Copy | Download

ACS Style

Hiroshi Asakura; Mikio Kawasaki; Kazuyuki Suzuki; Kei Nakagawa; Yoichi Watanabe. Determination and Sorting of Asbestos-Containing Material by Visual Observation. Am. J. Environ. Prot. 2014, 3(5), 275-282. doi: 10.11648/j.ajep.20140305.21

Copy | Download

AMA Style

Hiroshi Asakura, Mikio Kawasaki, Kazuyuki Suzuki, Kei Nakagawa, Yoichi Watanabe. Determination and Sorting of Asbestos-Containing Material by Visual Observation. Am J Environ Prot. 2014;3(5):275-282. doi: 10.11648/j.ajep.20140305.21

Copy | Download

@article{10.11648/j.ajep.20140305.21,
  author = {Hiroshi Asakura and Mikio Kawasaki and Kazuyuki Suzuki and Kei Nakagawa and Yoichi Watanabe},
  title = {Determination and Sorting of Asbestos-Containing Material by Visual Observation},
  journal = {American Journal of Environmental Protection},
  volume = {3},
  number = {5},
  pages = {275-282},
  doi = {10.11648/j.ajep.20140305.21},
  url = {https://doi.org/10.11648/j.ajep.20140305.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20140305.21},
  abstract = {A rapid method for the determination of asbestos fiber at an intermediate treatment facility for construction and demolition waste (CDW) is required. Although the rapid method which involves visual observation has been developed, the determination accuracy and time are unknown. The purpose of this study was to determine the identification rate of asbestos-containing material (ACM: > 0.1w%), the time required for asbestos fiber determination by visual observation, and the asbestos content in CDW. After participating in a short training course for ACM determination, persons who did not have any knowledge of asbestos fiber determination were able to determine ACM in CDW by visual observation. Using the results of visual observation, an ACM sorting model was formulated. The model enabled simulation of asbestos content after sorting by inputting asbestos content distribution into CDW before sorting. However, 0.35 w% of asbestos still remained in the non-ACM fraction, i.e., the content was > 0.1 w%. The relationship between the number of sorters and the total sorting time for disaster waste from the Great East Japan Earthquake was presented. It was found that a very long time and a large number of people were required for sorting.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Determination and Sorting of Asbestos-Containing Material by Visual Observation
AU  - Hiroshi Asakura
AU  - Mikio Kawasaki
AU  - Kazuyuki Suzuki
AU  - Kei Nakagawa
AU  - Yoichi Watanabe
Y1  - 2014/11/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajep.20140305.21
DO  - 10.11648/j.ajep.20140305.21
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 275
EP  - 282
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20140305.21
AB  - A rapid method for the determination of asbestos fiber at an intermediate treatment facility for construction and demolition waste (CDW) is required. Although the rapid method which involves visual observation has been developed, the determination accuracy and time are unknown. The purpose of this study was to determine the identification rate of asbestos-containing material (ACM: > 0.1w%), the time required for asbestos fiber determination by visual observation, and the asbestos content in CDW. After participating in a short training course for ACM determination, persons who did not have any knowledge of asbestos fiber determination were able to determine ACM in CDW by visual observation. Using the results of visual observation, an ACM sorting model was formulated. The model enabled simulation of asbestos content after sorting by inputting asbestos content distribution into CDW before sorting. However, 0.35 w% of asbestos still remained in the non-ACM fraction, i.e., the content was > 0.1 w%. The relationship between the number of sorters and the total sorting time for disaster waste from the Great East Japan Earthquake was presented. It was found that a very long time and a large number of people were required for sorting.
VL  - 3
IS  - 5
ER  -

Copy | Download

Author Information

Hiroshi Asakura

Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Nagasaki, Japan
Mikio Kawasaki

Center for Environmental Science in Saitama, Saitama, Japan
Kazuyuki Suzuki

Center for Environmental Science in Saitama, Saitama, Japan
Kei Nakagawa

Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Nagasaki, Japan
Yoichi Watanabe

Center for Environmental Science in Saitama, Saitama, Japan

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Hiroshi Asakura, Mikio Kawasaki, Kazuyuki Suzuki, Kei Nakagawa, Yoichi Watanabe. (2014). Determination and Sorting of Asbestos-Containing Material by Visual Observation. American Journal of Environmental Protection, 3(5), 275-282. https://doi.org/10.11648/j.ajep.20140305.21

Copy | Download

ACS Style

Hiroshi Asakura; Mikio Kawasaki; Kazuyuki Suzuki; Kei Nakagawa; Yoichi Watanabe. Determination and Sorting of Asbestos-Containing Material by Visual Observation. Am. J. Environ. Prot. 2014, 3(5), 275-282. doi: 10.11648/j.ajep.20140305.21

Copy | Download

AMA Style

Hiroshi Asakura, Mikio Kawasaki, Kazuyuki Suzuki, Kei Nakagawa, Yoichi Watanabe. Determination and Sorting of Asbestos-Containing Material by Visual Observation. Am J Environ Prot. 2014;3(5):275-282. doi: 10.11648/j.ajep.20140305.21

Copy | Download

@article{10.11648/j.ajep.20140305.21,
  author = {Hiroshi Asakura and Mikio Kawasaki and Kazuyuki Suzuki and Kei Nakagawa and Yoichi Watanabe},
  title = {Determination and Sorting of Asbestos-Containing Material by Visual Observation},
  journal = {American Journal of Environmental Protection},
  volume = {3},
  number = {5},
  pages = {275-282},
  doi = {10.11648/j.ajep.20140305.21},
  url = {https://doi.org/10.11648/j.ajep.20140305.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20140305.21},
  abstract = {A rapid method for the determination of asbestos fiber at an intermediate treatment facility for construction and demolition waste (CDW) is required. Although the rapid method which involves visual observation has been developed, the determination accuracy and time are unknown. The purpose of this study was to determine the identification rate of asbestos-containing material (ACM: > 0.1w%), the time required for asbestos fiber determination by visual observation, and the asbestos content in CDW. After participating in a short training course for ACM determination, persons who did not have any knowledge of asbestos fiber determination were able to determine ACM in CDW by visual observation. Using the results of visual observation, an ACM sorting model was formulated. The model enabled simulation of asbestos content after sorting by inputting asbestos content distribution into CDW before sorting. However, 0.35 w% of asbestos still remained in the non-ACM fraction, i.e., the content was > 0.1 w%. The relationship between the number of sorters and the total sorting time for disaster waste from the Great East Japan Earthquake was presented. It was found that a very long time and a large number of people were required for sorting.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Determination and Sorting of Asbestos-Containing Material by Visual Observation
AU  - Hiroshi Asakura
AU  - Mikio Kawasaki
AU  - Kazuyuki Suzuki
AU  - Kei Nakagawa
AU  - Yoichi Watanabe
Y1  - 2014/11/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajep.20140305.21
DO  - 10.11648/j.ajep.20140305.21
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 275
EP  - 282
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20140305.21
AB  - A rapid method for the determination of asbestos fiber at an intermediate treatment facility for construction and demolition waste (CDW) is required. Although the rapid method which involves visual observation has been developed, the determination accuracy and time are unknown. The purpose of this study was to determine the identification rate of asbestos-containing material (ACM: > 0.1w%), the time required for asbestos fiber determination by visual observation, and the asbestos content in CDW. After participating in a short training course for ACM determination, persons who did not have any knowledge of asbestos fiber determination were able to determine ACM in CDW by visual observation. Using the results of visual observation, an ACM sorting model was formulated. The model enabled simulation of asbestos content after sorting by inputting asbestos content distribution into CDW before sorting. However, 0.35 w% of asbestos still remained in the non-ACM fraction, i.e., the content was > 0.1 w%. The relationship between the number of sorters and the total sorting time for disaster waste from the Great East Japan Earthquake was presented. It was found that a very long time and a large number of people were required for sorting.
VL  - 3
IS  - 5
ER  -

Copy | Download