최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기목재공학 = Journal of the Korean wood science and technology, v.48 no.6, 2020년, pp.917 - 935
YEOM, Chan-Ho (Professional Graduate School of Disaster Prevention, Kangwon National University) , LEE, Si-Young (Professional Graduate School of Disaster Prevention, Kangwon National University) , PARK, Houng-Sek (Graduate School of Forestry, Dongguk University) , WON, Myoung-Soo (Forest Resource Management and Restoration Division, National Institute of Forest Science)
In this study, an automated sensor to measure forest fire surface fuel moistures was developed to predict changes in the moisture content and risk of forest fire surface fuel, which was indicators of forest fire occurrence and spread risk. This measurement sensor was a method of automatically calcul...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
Anderson, H.E. 1983. Predicting wind-driven wild land fire size and shape. Research Paper INT-RP-305. Ogden, UT: USDA Forest Service, Intermountain Forest and Range Experiment Station. p.26.
Anderson, H.E. 1990. Moisture diffusivity and response time in fire forest fuels. Canadian Journal of Forest Research. pp.315-325.
Kang, C.W., Lim, H.M., Kang, H.Y. 2017. Estimation of Wood Oven-Dry Density by Using a Portable Dielectric Moisture Meter, Journal of the Korean Wood Science and. Technology 45(5): 629-639.
Keane, R.E. 2015. Wildland fuel fundamentals and applications. Springer International Publishing Switzerland. DoI 10.1007/978-3-319-09015-3_9. pp.153-154.
Kwon, C.G. 2009. A Study on the Forecast of Fuel Moisture Contents's Changes in the Pine Tree Forest after Rainfall. Master's thesis. Kangwon National University.
Kwon, C.G. 2014. A Study on Development of a Forest Fuel Moisture Content Change Prediction Model(Focus on Predicting Forest Fire Dangers). Ph.D. Dissertation. Kangwon National University.
Lee, C.H. 2005. Actual- and predicted drying curve and moisture profile during air drying of softwood square. Master's thesis. Seoul National University.
Lee, S.Y. 1995. Estimation on forest Fire Danger rating and factors affecting burning behavior. Ph.D. thesis. Dongguk University.
Lee, S.Y., Kwon, C.G., Lee, M.W., Lee, H.P. 2010. Development of Prediction Model of Fuel Moisture Changes after Precipitation in the Spring for the Pine Forest Located the Yeongdong Region : Focused on the Down Wood Material Diameter. Transactions of Korean Institute of Fire Science and Engineering. pp.18-26.
Lee, S.Y., Chae, H.M., Lee, M.W., Kwon, C.G., Yeom, C.H. 2007. Prediction of Fuel Moisture Contents after Precipitation in the Pine Tree Stand during Forest Fire Period in the East Sea Region. Transactions of Korean Institute of Fire Science and Engineering. pp.464-467.
Harrington, M.G. 1983. Climate Class Adjustments Imporve Accuracy of Predicted Fuel Moisture Stick Value. USDA Forest service Research Note RM-431.
Stock, B.J., Alexander, M.E., Lawson, B.D., Van Wanger, C.E. 1987. Canadian Forest Fire Danger Rating System. User' Guide. The Canadian Forest Service Fire Danger Group.
Zahn, S., Henson, C. 2011. Fuel moisture Collection Methods: A Field Guide. U.S. Department of Agriculture. pp.1-11
Storey, T.G. 1965. Estimating the Fuel Moisture Content of Indicator Sticks from Selected Weather Variables. U. S. FOREST SERVICE RESEARCH PAPER PSW-26. pp.1-14
Van Wagner, C.E. 1975. Comparison of the Canadian and American forest fire danger rating systems. Petawawa forest experiment station Chalk river. Ontario Information report PS-X-59.
Yeom, C.H., Lee, S.Y., Park, H.S. 2016. A Comparative Analysis of Fuel Moisture Contents Variation by Pinus densiflora & Quercus variabilis Stick for Estimating Fuel Moisture Contents in Forest Fire Surface Fuel in the Spring. Crisisonomy 12(12): 59-67.
Yeom, C.H., Won, M.S., Lee, S.Y., Yoon, S.H., Park, H.S. 2018. A Study on Estimation of Forest Fire Surface Fuel Moisture using Electrical Resistance. Journal of the Korean Society of Hazard Mitigation 18(4): 175-181.
해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.