Urban Heat Island (Uhi) Effect: The Rise of Land Surface Temperature in Cebu City, Philippines
Keywords:
urban heat island, remote sensing, SEBAL, landscape metrics, Cebu CityAbstract
Temperature differences between the urban and surrounding areas have resulted from rapid urbanization. This study tries to systematically understand the urban heat island phenomenon in Cebu City by determining the land surface temperature using satellite images in 2010 and 2018. Land Surface Temperature (LST) was determined using the Surface Energy Balance Algorithm for Land (SEBAL) approach. The results were correlated to spatial metrics to identify its influence on the spatial variation of LST in Cebu City. Results indicated that the mean LST in Cebu City increased from 220C to 250C from 2010 to 2018. In 2018, the built-up area contributed the most LST, followed by forest and bare land, with 28.40 0C, 26.25 0C, and 25.85 0C, respectively. The results indicated that the landscape metrics are highly negatively correlated to LST, mainly attributed to the increase in forest area in Cebu City.
References
A. Buyantuyev & J. Wu. (2010). Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape ecology, 25(1), 17-33.
S. V. Chithra, M.H. Nair, A. Amarnath, & N.S. Anjana. (2015). Impacts of impervious surfaces on the environment. International Journal of Engineering Science Invention, 4(5), 27-31.
EPA. 2003. Beating the Heat: Mitigating Thermal Impacts. Nonpoint Source News-Notes. 72:23-26.
EPA. 2017. Reduce heat island effect. Retrieved from https://www.epa.gov/green-infrastructure/reduce-urban-heat-island-effect.
EPA. 2018. Heat island effect. Retrieved from https://www.epa.gov/heat-islands
R.C. Estoque, Y. Murayama, & S.W. Myint. (2017). Science of the Total Environment Effects of landscape composition and Pattern on land surface temperature: An urban heat island study in the Megacities of Southeast Asia. Science of the Total Environment, 577, 349-359.
T.M. Giannaros & D. Melas. (2012). Study of the urban heat island in a coastal Mediterranean City: The case study of Thessaloniki, Greece. Atmospheric Research, 118, 103-120.
S. W.Myint, A. Brazel, G. Okin, & A. Buyantuyev. (2010). Combined effects of impervious surface and vegetation cover on air temperature variations in a rapidly expanding desert city. GIScience & Remote Sensing, 47(3), 301-320.
T.R. Oke. 1997. Urban Climates and Global Environmental Change. In: Thompson, R.D. and A. Perry (eds.) Applied Climatology: Principles & Practices. New York, NY: Routledge. pp. 273-287.
D. Roemmich & J. Gilson. (2009). The 2004–2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Progress in Oceanography, 82(2), 81-100.
P. Shahmohamadi, A. Che-Ani, K.N.A Maulud, A. Sairi & M.F.I. Mohd-Nor. (2010). The framework to mitigate the urban heat island effect for improving the environment and protecting human health. International Journal of Sustainable Development and Planning, 5(4), 351-366.
N. Shamloo, M.Taghi Sattari, H. Apaydin, K. Valizadeh Kamran & R. Prasad. (2021). Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods. International Journal of Digital Earth, 14(11), 1638-1658.
R. Shih and D. Ty. (2013). The Urban Heat Island (UHI) Phenomenon in Cebu City, Philippines: An Initial Study. Retrieved from https://www.researchgate.net/publication/275152563
J.Voogt. (2002). Urban Heat Island. In Munn, T. (ed.) Encyclopedia of Global Environmental Change, Vol. 3. Chichester: John Wiley and Sons.
Q.Weng, D., Lu, & J.Schubring,. (2004). Estimating land surface temperature–vegetation abundance relationship for urban heat island studies. Remote sensing of Environment, 89(4), 467-483.
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