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http://dx.doi.org/10.7780/kjrs.2022.38.6.2.3

Analysis of Spatial Correlation between Surface Temperature and Absorbed Solar Radiation Using Drone - Focusing on Cool Roof Performance -  

Cho, Young-Il (Center for Environmental Data Strategy, Korea Environment Institute)
Yoon, Donghyeon (Center for Environmental Data Strategy, Korea Environment Institute)
Lee, Moung-Jin (Center for Environmental Data Strategy, Korea Environment Institute)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_2, 2022 , pp. 1607-1622 More about this Journal
Abstract
The purpose of this study is to determine the actual performance of cool roof in preventing absorbed solar radiation. The spatial correlation between surface temperature and absorbed solar radiation is the method by which the performance of a cool roof can be understood and evaluated. The research area of this study is the vicinity of Jangyu Mugye-dong, Gimhae-si, Gyeongsangnam-do, where an actual cool roof is applied. FLIR Vue Pro R thermal infrared sensor, Micasense Red-Edge multi-spectral sensor and DJI H20T visible spectral sensor was used for aerial photography, with attached to the drone DJI Matrice 300 RTK. To perform the spatial correlation analysis, thermal infrared orthomosaics, absorbed solar radiation distribution maps were constructed, and land cover features of roof were extracted based on the drone aerial photographs. The temporal scope of this research ranged over 9 points of time at intervals of about 1 hour and 30 minutes from 7:15 to 19:15 on July 27, 2021. The correlation coefficient values of 0.550 for the normal roof and 0.387 for the cool roof were obtained on a daily average basis. However, at 11:30 and 13:00, when the Solar altitude was high on the date of analysis, the difference in correlation coefficient values between the normal roof and the cool roof was 0.022, 0.024, showing similar correlations. In other time series, the values of the correlation coefficient of the normal roof are about 0.1 higher than that of the cool roof. This study assessed and evaluated the potential of an actual cool roof to prevent solar radiation heating a rooftop through correlation comparison with a normal roof, which serves as a control group, by using high-resolution drone images. The results of this research can be used as reference data when local governments or communities seek to adopt strategies to eliminate the phenomenon of urban heat islands.
Keywords
Unmanned aerial vehicle; Drone; Urban heat island; Heat waves; Cool pavement; Cool roof; Solar radiation;
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1 Tan, J., Y. Zheng, X. Tang, C. Guo, L. Li, G. Song, X. Zhen, D. Yuan, A. J. Kalkstein, and F. Li, 2010. The urban heat island and its impact on heat waves and human health in Shanghai, International Journal of Biometeorology, 54: 75-84. https://link.springer.com/article/10.1007/s00484-009-0256-x   DOI
2 Oke, T.R., 1982. The energetic basis of the urban heat island, Quarterly Journal of the Royal Meteorological Society, 108: 1-24. https://doi.org/10.1002/qj.49710845502   DOI
3 Pisello, A.L., M. Santamouris, and F. Cotana, 2013. Active cool roof effect: Impact of cool roofs on cooling system efficiency, Advances in Building Energy Research, 7: 209-221. https://doi.org/10.1080/17512549.2013.865560   DOI
4 Rizwan, A.M., L.Y. Dennis, and L. Chunho, 2008. A review on the generation, determination and mitigation of Urban Heat Island, Journal of Environmental Sciences, 20: 120-128. https://doi.org/10.1016/S1001-0742(08)60019-4   DOI
5 Shorris, A., 2017. Cool Neighborhoods NYC: A Comprehensive Approach to Keep Communities Safe in Extreme Heat, Technical Report, New York, NY, USA.
6 Ahmed, A.Q., D.R. Ossen, E. Jamei, N.A. Manaf, I. Said, and M.H. Ahmad, 2015. Urban surface temperature behaviour and heat island effect in a tropical planned city, Theoretical and Applied Climatology, 119: 493-514. https://doi.org/10.1007/s00704-014-1122-2   DOI
7 Cho, Y.-I., D. Yoon, J. Shin, and M.-J. Lee, 2021. Comparative analysis of the effects of heat island reduction techniques in Urban Heatwave Areas using drones, Korean Journal of Remote Sensing, 37(6-3): 1985-1999 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.6.3.7   DOI
8 Collins, W. D., 2003. AEROSOLS | Role in Radiative Transfer, In: Holton, J.R. (eds), Encyclopedia of Atmospheric Sciences, Academic Press, Cambridge, MA, USA, pp. 48-53. https://doi.org/10.1016/B0-12-227090-8/00053-1   DOI
9 Djen, C.S., Z. Jingchun, and W. Lin, 1994. Solar radiation and surface temperature in Shanghai city and their relation to urban heat island intensity, Atmospheric Environment, 28(12): 2119-2127. https://doi.org/10.1016/1352-2310(94)90478-2   DOI
10 Fu, P. and P. Rich, 2000. The solar analyst 1.0 user manual, Helios Environmental Modeling Institute (HEMI), Lawrence, KA, USA.
11 Kong, J., Y. Zhao, J. Carmeliet, and C. Lei, 2021. Urban heat island and its interaction with heatwaves: A review of studies on mesoscale, Sustainability, 13(19): 10923. https://doi.org/10.3390/su131910923   DOI
12 Middel, A., N. Chhetri, and R. Quay, 2015. Urban forestry and cool roofs: Assessment of heat mitigation strategies in Phoenix residential neighborhoods, Urban Forestry and Urban Greening, 14: 178-186. https://doi.org/10.1016/j.ufug.2014.09.010   DOI
13 Taylor, C., 2018. What Is the Interquartile Range Rule, https://www.thoughtco.com, Accessed on Nov. 28, 2022.
14 Song, B.-G., G.-A. Kim, and K.-H. Park, 2016. Reduction in indoor and outdoor temperature of office building with cool roof, KIEAE Journal, 16: 95-101 (in Korean with English abstract). https://doi.org/10.12813/kieae.2016.16.6.095   DOI
15 Sorensen, B., 2004. Renewable Energy, 3rd Edition, Academic Press, Cambridge, MA, USA, pp. 29-209.
16 Synnefa, A., M. Saliari, and M. Santamouris, 2012. Experimental and numerical assessment of the impact of increased roof reflectance on a school building in Athens, Energy and Buildings, 55: 7-15. https://doi.org/10.1016/j.enbuild.2012.01.044   DOI
17 TMG (Tokyo Metropolitan Government), 2005. Guidelines for Heat Island Control Measures, Bureau of the Environment, Tokyo, Japan.
18 Synnefa, A. and M. Santamouris, 2012. Advances on technical, policy and market aspects of cool roof technology in Europe: The Cool Roofs project, Energy and Buildings, 55: 35-41. https://doi.org/10.1016/j.enbuild.2011.11.051   DOI
19 Romeo, C. and M. Zinzi, 2013. Impact of a cool roof application on the energy and comfort performance in an existing non-residential building. A Sicilian case study, Energy and Buildings, 67: 647-657. https://doi.org/10.1016/j.enbuild.2011.07.023   DOI
20 Stephens, G.L., D. O'Brien, P.J. Webster, P. Pilewski, S. Kato, and J.L. Li, 2015. The albedo of Earth, Reviews of Geophysics, 53: 141-163. https://doi.org/10.1002/2014RG000449   DOI
21 Zhao, D., A. Aili, Y. Zhai, S. Xu, G. Tan, X. Yin, and R. Yang, 2019. Radiative sky cooling: Fundamental principles, materials, and applications, Applied Physics Reviews, 6: 021306. https://doi.org/10.1063/1.5087281   DOI
22 Trlica, A., L. Hutyra, C. Schaaf, A. Erb, and J. Wang, 2017. Albedo, land cover, and daytime surface temperature variation across an urbanized landscape, Earth's Future, 5: 1084-1101. https://doi.org/10.1002/2017EF000569   DOI
23 U.S. Environmental Protection Agency, 2008. Reducing urban heat islands: Compendium of strategies, https://www.epa.gov/heat-islands/heatislandcompendium, Accessed on Nov. 28, 2022.
24 Xu, X., T. Asawa, and H. Kobayashi, 2020. Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera, Remote Sensing, 12: 2214. https://doi.org/10.3390/rs12142214   DOI
25 Dincer, I. and M.A. Rosen, 2021. Thermodynamic fundamentals, Exergy, 3rd Edition, Elsevier, Amsterdam, Netherlands, pp. 1-22.
26 Taylor, R., 1990. Interpretation of the correlation coefficient: a basic review, Journal of Diagnostic Medical Sonography, 6: 35-39. https://doi.org/10.1177/8756479390006001   DOI
27 Tuholske, C., K. Caylor, C. Funk, A. Verdin, S. Sweeney, K. Grace, P. Peterson, and T. Evans, 2021. Global urban population exposure to extreme heat, Proceedings of the National Academy of Sciences, 118(41): e2024792118. https://doi.org/10.1073/pnas.2024792118   DOI
28 Yang, X., C. Zhao, L. Zhou, Y. Wang, and X. Liu, 2016. Distinct impact of different types of aerosols on surface solar radiation in China, Journal of Geophysical Research: Atmospheres, 121: 6459-6471. https://doi.org/10.1002/2016JD024938   DOI
29 Lopez-Bueno, J. A., M. A. Navas-Martin, C. Linares, I. J. Miron, M. Y. Luna, G. Sanchez-Martinez, D. Culqui, and J. Diaz, 2021. Analysis of the impact of heat waves on daily mortality in urban and rural areas in Madrid, Environmental Research, 195: 110892. https://doi.org/10.1016/j.envres.2021.110892   DOI
30 Daut, I., M.I. Yusoff, S. Ibrahim, M. Irwanto, and G. Nsurface, 2012. Relationship between the solar radiation and surface temperature in Perlis, Advanced Materials Research, 512: 143-147. https://doi.org/10.4028/www.scientific.net/AMR.512-515.143   DOI
31 ESRI (Environmental Systems Research Institute), 2022. How solar radiation is calculated, https://desktop.arcgis.com/en/arcmap/latest/tools/spatial-analysttoolbox/how-solar-radiation-is-calculated.htm, Accessed on Nov. 29, 2022.
32 Fu, P., 2000. A geometric solar radiation model with applications in landscape ecology, University of Kansas, Lawrence, KA, USA.
33 Mirzaei, P.A., 2021. CFD modeling of micro and urban climates: Problems to be solved in the new decade, Sustainable Cities and Society, 69: 102839. https://doi.org/10.1016/j.scs.2021.102839   DOI
34 Costanzo, V., G. Evola, and L. Marletta, 2013. Cool roofs for passive cooling: performance in different climates and for different insulation levels in Italy, Advances in Building Energy Research, 7: 155-169. https://doi.org/10.1080/17512549.2013.865556   DOI
35 Park, M.-Y., 2019. Cool Roof Status and Improvement Plan for Cooling Load Reduction (Cool Roof Status and Improvement Plan for Cooling Load Reduction), Journal of Korean Institute of Architectural Sustainable Environment and Building Systems, 13: 142-152 (in Korean with English abstract). https://doi.org/10.22696/jkiaebs.20190012   DOI
36 Fu, P. and P.M. Rich, 2002. A geometric solar radiation model with applications in agriculture and forestry, Computers and Electronics in Agriculture, 37: 25-35. https://doi.org/10.1016/S0168-1699(02)00115-1   DOI
37 Gabriel, K.M. and W.R. Endlicher, 2011. Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany, Environmental Pollution, 159(8-9): 2044-2050. https://doi.org/10.1016/j.envpol.2011.01.016   DOI
38 Lapisa, R., E. Bozonnet, M.O. Abadie, and P. Salagnac, 2013. Cool roof and ventilation efficiency as passive cooling strategies for commercial low-rise buildings-ground thermal inertia impact, Advances in Building Energy Research, 7(2): 192-208. https://doi.org/10.1080/17512549.2013.865559   DOI