[논문]도로기상차량으로 관측한 노면온도자료를 이용한 도로살얼음 취약 구간 산정

박문수; 강민수; 김상헌; 정현채; 장성빈; 유동길; 류성현

doi:10.14191/atmos.2021.31.5.525

도로기상차량으로 관측한 노면온도자료를 이용한 도로살얼음 취약 구간 산정
Estimation of Road Sections Vulnerable to Black Ice Using Road Surface Temperatures Obtained by a Mobile Road Weather Observation Vehicle 원문보기

대기 = Atmosphere, v.31 no.5, 2021년, pp.525 - 537

박문수 (세종대학교 기후환경융합학과) , 강민수 (세종대학교 기후환경융합센터) , 김상헌 (세종대학교 기후환경융합센터) , 정현채 ((주)미래기후) , 장성빈 ((주)미래기후) , 유동길 ((주)미래기후) , 류성현 ((주)미래기후)

Abstract ▼ AI-Helper

Black ices on road surfaces in winter tend to cause severe and terrible accidents. It is very difficult to detect black ice events in advance due to their localities as well as sensitivities to surface and upper meteorological variables. This study develops a methodology to detect the road sections vulnerable to black ice with the use of road surface temperature data obtained from a mobile road weather observation vehicle. The 7 experiments were conducted on the route from Nam-Wonju IC to Nam-Andong IC (132.5 km) on the Jungang Expressway during the period from December 2020 to February 2021. Firstly, temporal road surface temperature data were converted to the spatial data with a 50 m resolution. Then, the spatial road surface temperature was normalized with zero mean and one standard deviation using a simple normalization, a linear de-trend and normalization, and a low-pass filter and normalization. The resulting road thermal map was calculated in terms of road surface temperature differences. A road ice index was suggested using the normalized road temperatures and their horizontal differences. Road sections vulnerable to black ice were derived from road ice indices and verified with respect to road geometry and sky view, etc. It was found that black ice could occur not only over bridges, but also roads with a low sky view factor. These results are expected to be applicable to the alarm service for black ice to drivers.

주제어

표/그림 (12)

그림 Fig. 1. (a) Thermal mapping observation region, (b) enhanced observation region with its track (sky-blue) and river (blue), road structure (pink: bridge, light green: tunnel, light blue: over road), and (c) road elevation with respect to distance from the Nam-Wonju IC to Nam-Andong IC in Jungang Expressway.
그림 Fig. 2. Surface weather charts at (a) 0000 UTC (0900 LST), (b) 1200 UTC (2100 LST) on 22 December 2020, (c) 1200 UTC (2100 LST) on 2, and (d) 1200 UTC (2100 LST) on 18 February 2021 (http://data.kma.go.kr).
표 Table 1. Observation periods for road thermal mapping from Nam-Wonju IC to Nam-Andong IC.
그림 Fig. 3. Time series of (a-c) temperature, (d-f) relative humidity, and (g-i) wind speed with observation period from Nam-Wonju IC to Nam-Andong IC (thick black line) during the period (a, d, g) 21~23 December 2020, (b, e, h) 2~3, (c, f, i) 18~19 February 2021.
그림 Fig. 4. Road structure of sub-route (a-j) A to J and (k) topographical cross section for each sub-route. Blue, pink, and light green colors indicate over-ground, bridge, and tunnel, respectively.
표 Table 2. Distance from Nam-Wonju IC of starting and ending points of sub-routes.
그림 Fig. 5. (a) Topographical elevation, road geometry (over-ground, bridge), and observed road surface temperatures on the subroute D. Enhanced road surface temperature and road geometry on sections (b) 3~5 km and (c) 5~8 km.
표 Table 3. Statistics of road surface temperature (C) on sub-route D (SR_D).
그림 Fig. 6. Time series of road surface temperature difference calculated by (a) simple normalization, (b) linear de-trend and normalization, and (c) low-pass filter on the sub-route D. Thick black lines indicate the route-averaged values.
그림 Fig. 7. Boxplot of road surface temperature difference on over-ground and bridge calculated by simple normalization (SN), linear de-trend and normalization (LDN), and lowpass filter (LPF) on the sub-route D.
그림 Fig. 8. Road Ice Index (RI) with respect to the distance on the sub-route D. Character "A" to "G" indicate the selected points with RI = 1 or 2 and on over-ground road surface.
그림 Fig. 9. Road view image of road sections vulnerable to ice (obtained from Naver street view) due to the low sky view, not over bridge. (a)-(f) corresponds to A-F in Fig. 8.

참고문헌 (18)

Bourgouin, P., 2000: A method to determine precipitation types. Wea. Forecasting, 15, 583-592.

상세보기
Carriere, J.-M., C. Lainard, C. Le Bot, and F. Robart, 2000: A climatological study of surface freezing precipitation in Europe. Meteor. Appl., 7, 229-238.

상세보기
Chapman, L., and J. E. Thornes, 2005: The influence of traffic on road surface temperatures: implications for thermal mapping studies. Meteor. Appl., 12, 371-380.

상세보기
Cho, C., J.-B. Jee, M.-S. Park, S.-H. Park, and Y.-J. Choi, 2016: Comparison of surface temperatures between thermal infrared image and Landsat 8 satellite. J. Korean Soc. Atmos. Environ., 32, 46-56, doi:10.5572/KOSAE.2016.32.1.046 (in Korean with English abstract).

원문보기 상세보기
Forbes, R., I. Tsonevsky, T. Hewson, and M. Leutbecher, 2014: Towards predicting high-impact freezing rain events. ECMWF Newsletter, 141, 15-21, doi:10.21957/xcauc5jf.
Gustavsson, T., 1999: Thermal mapping - a technique for road climatological studies. Meteor. Appl., 6, 385-394.

상세보기
Kamarainen, M., O. Hyvarinen, K. Jylha, A. Vajda, S. Neiglick, J. Nuottokari, and H. Gregow, 2017: A method to estimate freezing rain climatology from ERAInterim reanalysis over Europe. Nat. Hazards Earth Syst. Sci., 17, 243-259, doi:10.5194/nhess-17-243-2017.

상세보기
Kang M., and M.-S. Park, 2017: Mapping of road sections vulnerable to ice in the Seoul Metropolitan Area using a mobile road weather vehicle. In M.-S. Park et al. Eds., Urban Meteorological Observations in the Seoul Metropolitan Area, Lambert Academic Publishing, 119-137.
Kwon, S.-H., H.-R. Byun, C.-K. Park, and H.-N. Kwon, 2016: On the freezing precipitation in Korea and the basic schemes for its potential prediction. Asia-Pac. J. Atmos. Sci., 52, 35-50, doi:10.1007/s13143-015-0086-1.

상세보기
Lufft, 2019: User Manual MARWIS/StaRWIS. Lufft, 59 pp [Available online at https://www.lufft.com/download/manual-lufft-marwis-starwis-en/].
Monteith, J. L., and M. H. Unsworth, 1990: Principles of Environmental Physics. Cambridge University, 291 pp.
Park, M.-S., S. J. Joo, and Y. T. Son, 2014: Development of road surface temperature prediction model using the unified model output (UM-Road). Atmosphere, 24, 471-479, doi:10.14191/Atmos.2014.24.4.471 (in Korean with English abstract).

원문보기 상세보기
Rayer, P. J., 1987: The meteorological office forecast road surface temperature model. Meteorol. Mag., 116, 180-191.
Robbins, C. C., and J. V. Cortinas Jr., 2002: Local and synoptic environments associated with freezing rain in the contiguous United States. Wea. Forecasting, 17, 47-65.

상세보기
Rozante J. R., E. R. Gutierrez, P. L. da Silva Dias, A. de Almeida Fernandes, D. S. Alvim, and V. M. Silva, 2020: Development of an index for frost prediction: technique and validation. Meteor. Appl., 27, e1807, doi:10.1002/met.1807.

상세보기
Sass, B. H., 1992: A numerical model for prediction of road temperature and ice. J. Appl. Meteor. Climatol., 31, 1499-1506.

상세보기
Theriault, J. M., R. E. Stewart, and W. Henson, 2010: On the dependence of winter precipitation types on temperature, precipitation rate, and associated features. J. Appl. Meteor. Climatol., 49, 1429-1442, doi:10.1175/2010JAMC2321.1.

상세보기
Todeschini, I., C. D. Napoli, I. Pretto, G. Merler, R. Cavaliere, R. Apolloni, G. Antonacci, A. Piazza, and G. Benedetti, 2016: Thermal mapping as a valuable tool for road weather forecast and winter road maintenance: an example from the Italian Alps. Proc., Fourth Int. Conf. Remote Sens. Geoinf. Environ. (RSCy2016), SPIE 9688, 96880H, doi:10.1117/12.2240484.

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