Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Slate Roof Research of Decrepit Residential Area by Using UAV

무인항공기를 이용한 노후 주거지역의 석면 슬레이트 지붕 조사 기법에 관한 연구

  • 이승욱 (경북대학교 대학원 공간정보학과) ;
  • 홍원화 (경북대학교 건설환경에너지공학부) ;
  • 이승엽 (경주대학교 건축학과)
  • Received : 2015.12.03
  • Accepted : 2016.03.04
  • Published : 2016.03.30
⟨ Previous Next ⟩

Abstract

Although Asbestos is extremely harmful carcinogen, there remain many buildings in. Especially unsheltered asbestos cement slate should be removed in the near future because they will be possible scattering and polluting. Complete enumeration surveying is definite way but there are too difficult situations to depend on pure labor. So on the study carry out research using UAV, targeting housing redevelopment area where is scheduled to be dismantled and demolished, identification roof type and verification on field. For the purpose of this study, take photographs by low altitude flight and create orthophoto on photogrammetry application based on point cloud. Orthophoto has made sure of location accuracy within GCP's coordinates by RTK-VRS equipment. Total RMSE is less than standard error limit. And Ground Sample Distance of orthometric corrected image is 1cm/pixel which has enough resolution to identify roof type. Upon analysis, 53 roofs are verified slate and the others 246 are not by orthophoto analyzation. Then drawing a parallel result between orthophoto and building ledger. 20 in 53 slate roofs correspond with each other but the other 33 roofs are different type. Such as differences have verified through on-site reviewal. Also, As a result of identification and verification have shown usefulness that technical method. The process of identifying asbestos cement slate using UAV could be a useful research technique. Also, In the future, the methodology of this study is expected to be used as a technique to complement and improve the existing asbestos survey methods.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Bourgault, M., Gagne, M., & Valcke, M. (2014). Lung cancer and mesothelioma risk assessment for a population environmentally exposed to asbestos, Int. J. Hyg. Environ. Health. 2, 340-346.
  2. Dronecode. (2015). ground station application, linux based on opensource, from (www.dronecode.org).
  3. Holmes, D. (2013). IARC in the dock over ties with asbestos industry, The Lancet. 9864, 359-361.
  4. Hong, Y., Kim, Y., & Hong. (2014). Development of Estimation Equations for Disposal Costs of Asbestos Containing Materials by Listing the Whole Process to Dismantle and Demolish them, The Architectural Institute of Korea, 30(9), 235-242.
  5. International Agency for Research on Cancer (1987). Monographs on the Evaluation of Carcinogenic Risks to Human.
  6. Jang, W. (2015). A Study on the Forecasting on the Naturally Discharged Asbestos Fibers through Analysis of Thickness Changes in Asbestos Cement Slates, master's degree thesis, Kyungbuk Univ., graduate school.
  7. Jang, W., Kim, Y., & Hong, W. (2015). Visualizing distribution of naturally discharged asbestos fibers in Korea through analysis of thickness changes in asbestos cement slates, Journal of Cleaner Production.
  8. Jeong, A., & Jung, K. (2014). Research Trend of UAV for Flood Monitoring, Proceedings 40th KSCE Conference, 907-908.
  9. Jung, S., Kim, H., Koh, S., & Yong S. (2006). Epidemiologic Characteristics Revealed with a Malignant Mesothelioma Surveillance System in Korea, Korean society of occupational & environmental medicine, 18(1).
  10. Jung, W., Jung, S., Lim, N., Kim, G., Lee, S., & Choi, S. (2015). Extraction of Land Characteristics using High Quality Geospatial Information, Journal of the Korean society for geo-spatial information system, 23(3), 57-67.
  11. Kim, H. (2014). A study on the technology forecasting of UAV and UGV using TFDEA, master's degree thesis, Korea National Defense Univ.
  12. Kim, M., Jung, G., Kim, J., & Yun, H. (2010). Applicability Analysis of UAV for Storm and Flood Monitoring, Journal of the Korean Society of Surveying Geodesy, Photogrammetry, and Cartography, 28(6), 655-662.
  13. Kim, Y., Hong, W., & Son, B. (2013). Analysis of Generation Pattern and Generation Amount of Asbestos Containing Material, When Demolition of Buildings in the Housing Redevelopment District, The Architectural Institute of Korea, 29(7), 317-324.
  14. Kim, Y. (2015). Development of a district Management Program to appropriate process of Asbestos-Containing Materials in Building, Ph.D. Dissertation, Kyungbuk Univ.
  15. Kim, Y., Son, B., Kim, H., & Hong, W. (2011). A Study on the Distribution Maps for Asbestos Cement Slates Using GIS, Korea Institute of Ecological Architecture and Environment, 11(3), 57-62.
  16. Korean Ministry of Environment (2009). Asbestos Management Catalogue. from (http://www.me.go.kr).
  17. Korea Occupational Safety & Health Agency (2012). Asbestos dismantlement & removal work instructions.
  18. National Geographic Information Institute. (2015). Aerial photograph's overlap extent, Aerial photogrammetry Operation rules 20.
  19. National Geographic Information Institute. (2015). Video map production Operation rules.
  20. Rhee, S., Kim, T., Kim, J., Kim, M., & Chang, H. (2015). DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities, Korean Journal of Remote Sensing, 31(2), 183-191. https://doi.org/10.7780/kjrs.2015.31.2.12
  21. Spurny, K. (1989). On the release of asbestos fibers from weathered and corroded asbestos cement products, environmental research. 48(1), 100-116 https://doi.org/10.1016/S0013-9351(89)80089-1
  22. Steenland, K., & Stayner, L. (1997). Silica, asbestos, man-made mineral fibers, and cancer, Cancer Causes & Control, 3, 491-503.
  23. Yu, Y., Jo, H., & Lee, C. (2010). A Check-list for Asbestos Safety Management in Building Destruction, Korea Journal of Construction Engineering, 121-124.