Surface temperature pattern of asphalt, soil and grass in different weather condition
Paper Details
Surface temperature pattern of asphalt, soil and grass in different weather condition
Abstract
Urban Heat Island (UHI) is the result of accelerated urbanization and it is created when natural land covers replaced by heat-absorbing surfaces such as Asphalt, Cement and etc. Therefore, the main objective of this study is analysis of temperature pattern in three different surfaces such as asphalt, soil and grass in Tehran city during the April 2013 under sunny and cloudy weather conditions. To do so, two OPUS 200/300 Data Loggers with three PT100 sensors were installed over surfaces at Geophysics weather station in University of Tehran. Then, the mean daily surface temperature of land covers were simulated using air temperature by a regression model. According to the results, the highest temperature in both sunny and cloudy condition during the day is related to asphalt; soil and grass, respectively while the range of temperature (difference between maximum and minimum temperatures) in sunny condition is more than cloudy condition so that there is reverse relationship between cloudiness and surface temperature. Also, result of regression model illustrated that the model has proper accuracy to estimate surfaces temperature.
Anonymous. 2001. Joint aviation authorities’ airline transport pilot’s license. Theoretical knowledge manual. 050 Meteorology. Oxford Aviation Service Limited. Published by Jeppesen GmbH, Frankfurt, Germany.
Gorsevski V, Taha H, Quattrochi D, Luvall J. 1998. Air pollution prevention through urban heat island mitigation: An update on the Urban Heat Island Pilot Project. Proceedings of the ACEEE Summer Study, Asilomar, CA, 9, 23-32.
Gui J, Phelan P E, Kaloush K E, Golden J S. 2007. Impact of pavement thermophysical properties on surface temperatures. Journal of Materials in Civil Engineering 19(8), 683-690.
Hassan HF, Al-Nuaimi AS, Taha R, Jafar TMA. 2005. Development of asphalt pavement temperature models for Oman. Journal of Engineering Research 2, 106-116.
He JF, Liu JY, Zhuang DF, Zhang W, Liu ML. 2007.Assessing the effect of land use/land cover change on the change of urban heat island intensity. Theoretical and Applied Climatology 90, 217-226.
Herb WR, Janke B, Mohseni O, Stefan HG. 2008. Ground surface temperature simulation for different land covers. Journal of Hydrology 365, 327-343.
Hermansson A. 2000. Simulation model for calculating pavement temperatures including maximum temperature. Transportation Research Record, Journal of the Transportation Research Board 1699, 134-141.
Hermansson A. 2004. Mathematical model for paved surface summer and winter temperature: comparison of calculated and measured temperatures. Cold regions science and technology 40, 1-17.
Li J, Song C, Cao L, Zhu F, Meng X, Wu J. 2011. Impacts of landscape structure on surface urban heat islands: a case study of Shanghai, China. Remote Sensing of Environment 115(12), 3249-3263.
Li H, Harvey J, Jones D. 2012. Multi-dimensional transient temperature simulation and back-calculation for thermal properties of building materials. Building and Environment,1-16.
Mohseni A. 1998. LTPP seasonal asphalt concrete (AC) pavement temperature models. No. FHWA-RD-97-103.
Oke TR. 1982. The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society 108(455), 1-24.
Peterson TC. 2003. Assessment of urban versus rural in situ surface temperatures in the contiguous United States: No difference found. Journal of Climate 16(18), 2941-2959.
Qin Y, Hiller JE. 2011. Modeling the temperature and stress distributions in rigid pavements: Impact of Solar Radiation absorption and heat history development. KSCE Journal of Civil Engineering 15(8), 1361-1371.
Roth M. 2002. Effects of cities on local climates. In Proceedings of Workshop of IGES/APN Mega-City Project (pp. 23-25). Kitakyushu, Japan.
Stathopoulou M, Cartalis C. 2009. Downscaling AVHRR land surface temperatures for improved surface urban heat island intensity estimation. Remote Sensing of Environment 113(12), 2592-2605.
Taha H, Sailor D, Akbari H. 1992. High-albedo materials for reducing building cooling energy use (No. LBL–31721). Lawrence Berkeley Libratory, CA, United States.
Wijeyesekera D, Nazari M, Affida N, Lim S, Masirin M, Zainorabidin A, Walsh J. 2012. Investigation into the Urban Heat Island Effects from Asphalt Pavements. OIDA International Journal of Sustainable Development 5(06), 97-118.
Yilmaz H, Toy S, Irmak M A, Yilmaz S, Bulut Y. 2008. Determination of temperature differences between asphalt concrete, soil and grass surfaces of the City of Erzurum, Turkey. Atmósfera 21(2), 135-146.
Yilmaz S, Toy S, Irmak M A, Yilmaz H. 2007. Determination of climatic differences in three different land uses in the city of Erzurum, Turkey. Building and environment 42(4), 1604-1612.
A. A. Shamsipour, Gh. Azizi, M. Karimi Ahmadabad, M. Moghbel (2013), Surface temperature pattern of asphalt, soil and grass in different weather condition; JBES, V3, N9, September, P42-50
https://innspub.net/surface-temperature-pattern-of-asphalt-soil-and-grass-in-different-weather-condition/
Copyright © 2013
By Authors and International
Network for Natural Sciences
(INNSPUB) https://innspub.net
This article is published under the terms of the
Creative Commons Attribution License 4.0