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Numerical Experiment on the Variation of Atmospheric Circulation due to Wild Fire
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 Title & Authors
Numerical Experiment on the Variation of Atmospheric Circulation due to Wild Fire
Lee, Hwa-Woon; Tak, Sung-Hoon; Lee, Soon-Hwan;
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 Abstract
In order to clarify the impact of wildfire and its thermal forcing on atmospheric wind and temperature patterns, several numerical experiments were carried out using three dimensional atmospheric dynamic model WRF with wildfire parametrization module SFIRE. Since wind can accelerate fire spread speed, the moving speed of fireline is faster than its initial values, and the fireline tends to move the northeast, because of the wind direction and absolute vorticity conservation law associated with driving force induced by terrain. In comparison with non-fire case, the hydraulic jump that often occurs over downwind side of mountain became weak due to huge heat flux originated by surface wildfire and wind pattern over downwind side of mountain tends to vary asymmetrically with time passing. Therefore temporal variation of wind pattern should be catched to prevent the risk of widfire.
 Keywords
WRF-FIRE;Fireline;Absolute vorticity;Hydraulic jump;Heat flux;
 Language
Korean
 Cited by
 References
1.
Dobrinkova, N., Jordanov, G., and Mandel, J., 2011, WRF-Fire Applied in Bulgaria, in: Numerical Methods and Applications, edited by Dimov, I., Dimova, S., and Kolkovska, N., vol. 6046 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, 133-140, doi:10.1007/978-3-642-18466-615, 2011.

2.
Georgi J., Jonathan D. B., Nina D., Adam K. K., Jan M., Bedřich S., 2012, Simulation of the 2009 Harmanli Fire (Bulgaria), Lecture Notes in Computer Science Volume 7116.

3.
Han, S. H., Lee, J. G., 2007, A Numerical Simulation Study on the Sensitivity of WRF model in the Wind Field to the Steepness of Mountain Slopes, Atmosphere, 17(4), 349-364.

4.
Jang, W., Chun, H. Y., 2008, Severe Downslope Windstorms of Gangneung in the Springtime, Atmosphere, 18(3), 207-224.

5.
Koo, H. J., Choi, Y. J., Byon, J, Y., 2009, Simulation of Detailed Wind Flow over a Locally Heated Mountain Area Using a Computational Fluid Dynamics Model, CFD_NIMR_SNU, The Korean Society of Agriculture and Forest Meteorology, 11(4), 192-205. crossref(new window)

6.
Kwak, H. B., Lee, W. K., Lee, S. Y., Won, M. S., Lee, M. B., Koo, K. S., 2008, The Analysis of Relationship between Forest Fire Distribution and Topographic, Geographic, and Climatic Factors, GIS 2008, 465-470.

7.
Lee, B. D., Kim, H. H., Chang, K. M., Chung, J. S., Lee, M. B., Lee, S. Y., 2006, Estimation of Biomass of Pinus densiflora Sands Burnt Out by the 2005 Yangyang Forest Fire, Kor. J. Env. Eco., 20(2): 267-273.

8.
Lee, B. D., Koo, K. S., Lee, M. B., 2009, Forest Fire Direction and Spread Characteristics by Field Investigations, J. of Korean Institute of Fire Sci. & Eng., 23(5).

9.
Lee, S. Y., Chung, I. U., Kim, S. K., 2006, A study on Establishment of the Optimum Mountain Meteorological Observation Network System for Forest Fire Prevention, Korean Journal of Agricultural and Forest Meteorology, 8(1), 36-44.

10.
Mandel, J., Beezley, J. D., Kochanski, A., 2011, Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011, Geoscientific Model Development (GMD) 4, 591-610. crossref(new window)

11.
Sharples, J. J, McRae, R. H. D., Weber, R. O., Wilkes, S. R., 2012, Wind-terrain effects on the propagation of wildfires in rugged terrain: fire channelling, International Journal of Wildland Fire, 21(3) 282-296.

12.
Yoo, J. A., Baik, J. J., 1999, Flow Regims of Two- Dimansinal, Stratified Flow over an Isolated Mountain., Atmosphere. Korean Meteorological Society, 35(3), 384-395.