تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

تحلیل تغییرات جزیره حرارتی سطوح شهری در روز و شب با استفاده از محصولات چند زمانه سنجنده مادیس (مطالعه موردی: کلانشهر تهران)

نویسندگان
1 دانشگاه تهران
2 دانشگاه خوارزمی
چکیده
اصطلاح جزیره حرارتی شهری (UHI)، پدیده تغییر دمای مناطق شهری در مقایسه با مناطق پیرامون آن را توصیف می کند. اثرات UHI شامل: افزایش مصرف انرژی و آب، افزایش آلودگی هوا و تداخل در آسایش حرارتی می باشد. جزیره حرارتی سطوح شهری (SUHI) در برگیرنده الگوهای دمای سطح زمین (LST) درمناطق شهری است که با UHI در لایه تاج پوشش شهری و لایه مرز شهری (UBL) در ارتباط است و با سنجش از دور حرارتی قابل بررسی است . با توجه به اینکه SUHI دارای نوسانات روزانه و فصلی می باشد لذا نیاز به داده‌های چند زمانه در تحلیل SUHI، دور از انتظار نیست. در این تحقیق از داده‌های چند زمانه MODIS (آکوا و ترا)، به منظور تحلیل SUHI در شب و روز در کلانشهر تهران استفاده شد. خواص فیزیکی و بیوفیزیکی سطح زمین از قبیل کاربری اراضی، ارتفاع، آلبدو، شاخص پوشش گیاهی NDVI و شاخص سطوح نفوذناپذیر NDBI به منظور تفسیر تغییرات LST و SUHI استفاده شد. نتایج نشان داد که SUHI در تهران، دارای نوسانات مکانی و زمانی روزانه و فصلی است به طوریکه در ایام گرم سال در طول روز جزیره سرمایی سطوح شهری (SUCL) در سطح شهر تهران تشکیل می شود. در شب مقدار شاخص SUHI بین 2 تا 5 درجه سانتی‌گراد (حداکثر در بهار) متفاوت است. همچنین نتایج نشان داد که ویژگی‌های حرارتی متفاوت پوشش های زمین، آلبدو و ارتفاع مهمترین عوامل تغییرات روزانه SUHI تهران است در حالی که تغییرات فنولوژیکی پوشش گیاهی و آلبدو، مهمترین عوامل تغییرات فصلی SUHI تهران می باشد.



[1]. Surface urban Cool Island
کلیدواژه‌ها

عنوان مقاله English

Investigation of changes in surface urban heat-island (SUHI) in day and night using multi-temporal MODIS sensor data products (Case Study: Tehran metropolitan)

نویسندگان English

Sirous Hashemi Darebadami 1
Ali Darvishi Boloorani 1
Seyed Kazem AlaviPanah 1
Mohammad maleki 2
Reza Bayat 1
1 university of tehran
2 Kharazmi University
چکیده English

The term urban heat island (UHI), described the phenomenon of climate change in urban areas compared with surrounding rural areas. UHI effects include: increasing in energy and water consumption, air pollution expansion and interfering in thermal comfort. Surface urban heat island (SUHI) contains patterns of land surface temperature (LST) in urban areas that has interaction with UHI in urban canopy layer and urban boundary layer and investigate with thermal remote sensing. SUHI has diurnal and seasonal variations so requires multi-temporal data to analysis SUHI. In this study, the multi-temporal MODIS (Aqua and Terra) data product were used to analyze the SUHI in day and night in Tehran metropolitan. Physical and biophysical surface properties such as: land cover/land use (LULC), elevation, albedo, vegetation index (NDVI) and impervious surfaces index (NDBI) were used to interpretation of the LST and SUHI changes. The results showed that SUHI in Tehran, has spatial-temporal diurnal and seasonal variation. So that during warm days the surface urban cool island (SUCL) is formed in Tehran. At night times, SUHI index values was different between 2 and 5 ° C (maximum in the spring). The results also showed that different of land cover thermal properties, albedo and elevation was the most important factors is the diurnal changes of SUHI while phonological changes of vegetation and albedo, was the most important factors in seasonal changes of SUHI.

کلیدواژه‌ها English

Surface Urban Heat Island
Surface Urban Cool Island
MODIS products
Physical and biophysical surface properties
Akbari, H. (2005). Energy Saving Potentials and Air Quality Benefits of Urban Heat Island Mitigation. Lawrence Berkeley. National Laboratory. 2005 Aug 23.
Akbari, H., & Matthews, H. D. (2012). Global cooling updates: Reflective roofs and pavements. Energy and Buildings, 55, 2-6.
Akbari, H., Menon, S., & Rosenfeld, A. (2008). Global cooling: effect of urban albedo on global temperature. Lawrence Berkeley National Laboratory.
Almusaed, A. (2011). The Urban Heat Island Phenomenon upon Urban Components. In Biophilic and Bioclimatic Architecture (pp. 139-150). Springer London
Arnfield, A. J. (2003). Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. International journal of climatology, 23(1), 1-26
Black, A. L. (2013). Temperature Trends and Urban Heat Island Intensity Mapping of the Las Vegas Valley.
Camilloni, I., & Barros, V. (1997). On the urban heat island effect dependence on temperature trends. Climatic Change, 37(4), 665-681.
Connors, J. P., Galletti, C. S., & Chow, W. T. (2013). Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landscape ecology, 28(2), 271-283.
Deng, C., & Wu, C. (2013). Examining the impacts of urban biophysical compositions on surface urban heat island: A spectral unmixing and thermal mixing approach. Remote Sensing of Environment, 131, 262-274.
Guhathakurta, S. &Gober, P. (2007). The Impact of the Phoenix Urban Heat Island on Residential Water Use. Journal of the American Planning Association, Vol. 73, 317-329.
Jin, M., Dickinson, R. E., & Zhang, D. A. (2005). The footprint of urban areas on global climate as characterized by MODIS. Journal of Climate, 18(10), 1551-1565.
Kleerekoper, L., van Esch, M., & Salcedo, T. B. (2012). How to make a city climate-proof, addressing the urban heat island effect. Resources, Conservation and Recycling, 64, 30-38.
Kottmeier, C., Biegert, C., & Corsmeier, U. (2007). Effects of urban land use on surface temperature in Berlin: Case study. Journal of urban planning and development, 133(2), 128-137.
Lazzarini, M., Marpu, P. R., & Ghedira, H. (2013). Temperature-land cover interactions: the inversion of urban heat island phenomenon in desert city areas. Remote Sensing of Environment, 130, 136-152.
Lenney, M. P., Woodcock, C. E., Collins, J. B., & Hamdi, H. (1996). The status of agricultural lands in Egypt: the use of multitemporal NDVI features derived from Landsat TM. Remote Sensing of Environment, 56(1), 8-20.
Li, H., & Liu, Q. (2008, December). Comparison of NDBI and NDVI as indicators of surface urban heat island effect in MODIS imagery. In International Conference on Earth Observation Data Processing and Analysis (pp. 728503-728503). International Society for Optics and Photonics.
Liang, S. (2001). Narrowband to broadband conversions of land surface albedo I: Algorithms. Remote Sensing of Environment, 76(2), 213-238.
Lowry, W. P. (1977). Empirical estimation of urban effects on climate: a problem analysis. Journal of Applied Meteorology, 16(2), 129-135.
Oke, T.R., 1987. Boundary Layer Climates. Methen, London, second ed. 435pp.
Rasul, A., Balzter, H., & Smith, C. (2015). Spatial variation of the daytime surface urban cool island during the dry season in Erbil, Iraqi Kurdistan, from Landsat 8. Urban Climate, 14, 176-186.‌
Rose, A. L., & Devadas, M. D. (2009, June). Analysis of land surface temperature and land use/land cover types using remote sensing imagary a case inchennal city, india. In The seventh International Conference on Urban Climate (Vol. 29).
Rosenfeld, A. H., Akbari, H., Romm, J. J., &Pomerantz, M. (1998). Cool communities: strategies for heat island mitigation and smog reduction. Energy and Buildings, 28(1), 51-62.
Santamouris, M. (2014). Cooling the cities–a review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Solar Energy, 103, 682-703.
Sobrino, J. A., Oltra-Carrió, R., Sòria, G., Jiménez-Muñoz, J. C., Franch, B., Hidalgo, V., ... & Paganini, M. (2013). Evaluation of the surface urban heat island effect in the city of Madrid by thermal remote sensing. International journal of remote sensing, 34(9-10), 3177-3192.
Stewart, I. D., & Oke, T. R. (2009). A new classification system for urban climate sites. Bulletin of the American Meteorological Society, 90(7), 922-923.
Tomlinson, C. J., Chapman, L., Thornes, J. E., & Baker, C. J. (2012). Derivation of Birmingham's summer surface urban heat island from MODIS satellite images. International Journal of Climatology, 32(2), 214-224.
Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote sensing of environment, 86(3), 370-384.
Weng, Q. (2009). Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4), 335-344.
Weng, Q., Rajasekar, U., & Hu, X. (2011). Modeling urban heat islands and their relationship with impervious surface and vegetation abundance by using ASTER images. Geoscience and Remote Sensing, IEEE Transactions on, 49(10), 4080-4089.
Zhang, Y., Chen, L., Wang, Y., Chen, L., Yao, F., Wu, P., ... & Zhang, T. (2015). Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing, 7(8), 10737-10762.
Zhou, W., Qian, Y., Li, X., Li, W., & Han, L. (2014). Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures. Landscape ecology, 29(1), 153-167.