زمان پاسخگویی تنها روزهای زوج ساعت 10 الی 12  

   [Home ] [Archive]   [ فارسی ]  
:: Volume 33, Issue 3 (2018) ::
geores 2018, 33(3): 124-136 Back to browse issues page
Application of Statistical Models and Satellite Imagery in the Evolution of Heat Island in Hamedan City
Zohreh Maryanaji *1, Moslem Darvishi2, Hamed Abbasi3
1- Department of Geography, Sayyed Jamaleddin Asadabadi University, Asadabad, Hamadan, Iran , z.maryanaji@gmail.com
2- Department of Geomatics Engineering, Sayyed Jamaleddin Asadabadi University, Asadabad, Hamadan, Iran
3- Department of Political Geography, Faculty of Literature and Humanity Sciences, Ferdowsi University of Mashhad, Iran
Abstract:   (782 Views)
Introduction and Background The growth of cities and the increase in the population and the diverse use of urban lands have caused problems for urban communities. One of these is the phenomenon of heat islands, which is the result of an unusual temperature increase of the city relative to the surrounding countryside.
Aims This research tries to achieve a general view on the heat island mechanism, air temperature changes and urban temperature changes in parts of Hamadan city by using TIRS (Landsat 8 satellite images) and comparing it with actual ground level data by statistical methods.
Methodology The temperature difference of different points from satellite images based on the spectral radiance method and the degree of gray value of pixels in the thermal bond was made using the photo of the Planck equation. Based on the relationship between real data on ground surface temperature at the meteorological station and data extracted from satellite images, according to different regression models, the highest determination coefficient was obtained for three linear, quadratic and cubic correlation methods. Among them, the cubic regression method with the least error was meaningful at 95% confidence level.
Conclusion The high explanatory factor (70% and above) indicates that there is an acceptable coordination between satellite image information and weather station information. The maximum difference between the data taken with the actual ground station data is related to the blanket and minimum temperature of 5.5 and the minimum difference of the green area is 0.5°C. The difference in temperature in different parts of the city is more closely related to the minimum temperature. While the temperature difference in areas covered by green space in Hamadan city with real data is higher at maximum temperature. The results showed that the Hamadan heat islands have a direct relationship with the construction and land use. The temperature changes in different parts of the city of Hamedan are indicative of the creation of heat islands in the non-used building and ground areas. The results of this research can be applied in the management and urban planning and land use of Hamedan.
Keywords: TIRS Sensor, Statistical Models, Heat Island, Cubic Regression Model
Full-Text [PDF 1137 kb]   (316 Downloads)    
Article Type: Descriptive & Survey | Subject: GIS
Received: 2018/08/7 | Accepted: 2018/11/5 | Published: 2018/12/19
References
1. Alhossiani Almodaresi, A., Saati, M., & Ebrahimi, S. A. (2015). Extraction of thermal islands in Tehran using ASTR images. Paper presented at the First National Conference on Information Technology Engineering, Tehran. (Persian)
2. Alijani, B., Tolabinejad, M., & Sayadi, F. (2017). Calculation of thermal island intensity based on the geometry of the study area: Koushebagh neighborhood of Tabriz city. Journal of Spatial Analysis of Environmental Hazards, 4(3), 99-112. (Persian)
3. Asghari Sareskanrood, S., & Zeinali, B. (2015). Study on climate effects of urban development in Tehran city. Geographical sciences of Journal, 11(22), 58-70. (Persian)
4. Bokaie, M., Zarkesh, M. K., Arasteh, P. D., & Hosseini, A. (2016). Assessment of urban heat island based on the relationship between land surface temperature and land use/ land cover in Tehran. Sustainable Cities and Society, 23, 94-104. [DOI:10.1016/j.scs.2016.03.009]
5. Chander, G., & Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on geoscience and remote sensing, 41(11), 2674-2677. [DOI:10.1109/TGRS.2003.818464]
6. Dhalluin, A., & Bozonnet, E. (2015). Urban heat islands and sensitive building design – A study in some French cities' context. Sustainable Cities and Society, 19, 292-299. [DOI:10.1016/j.scs.2015.06.009]
7. Ezber, Y., Lutfi Sen, O., Kindap, T., & Karaca, M. (2007). Climatic effects of urbanization in Istanbul: a statistical and modeling analysis. International Journal of Climatology: A Journal of the Royal Meteorological Society, 27(5), 667-679. [DOI:10.1002/joc.1420]
8. Kaviyani, M. (2005). Microclimatology. Tehran: Samt. (Persian)
9. Meshkati, M. (1985). Introductory of statistics. Tehran: Tehran University. (Persian)
10. Moharami, J. (2014). Investigating the role of land use in the production of urban thermal city (Case study: Tabriz city). (Master's thesis), Tabriz University. (Persian)
11. Montávez, J. P., Rodríguez, A., & Jiménez, J. I. (2000). A study of the urban heat island of Granada. International Journal of Climatology, 20(8), 899-911. [DOI:10.1002/1097-0088(20000630)20:83.0.CO;2-I]
12. Nakata, C., Souza, L. C. L., & Rodrigues, D. S. (2015). A GIS extension model to calculate urban heat island intensity based on urban geometry. Paper presented at the The 14th International Conference on Computers in Urban Planning and Urban Management.
13. Porkhabaz, A., Ahmadizadeh, S., Naseri, A., & Parvian, N. (2015). Analysis of thermal islets in urban areas of Mashhad. Paper presented at the The First International Conference on Architecture, Urbanization, Engineering, Art and Environment, Tehran. (Persian)
14. Ramezani, B., & Dokhtmohammad, S. (2010). Recognition of the spatial boundaries of the formation of the thermal island in Rasht. Journal of Urban Planning and Research, 1(1), 49-64. (Persian)
15. Ranjbar Sadatabbadi, A., Ali Akbari Bidokhti, A., & Sadeghi Hosseini, S. (2006). The effects of thermal island and urbanization on the air and local climate in the city of Tehran based on the data of Mehrabad and Varamin. Journal of Ecology, 32(39), 59-68. ((Persian)
16. Tereshchenko, I., & Filonov, A. (2001). Air temperature fluctuations in Guadalajara, Mexico, from 1926 to 1994 in relation to urban growth. International Journal of Climatology, 21(4), 483-494. [DOI:10.1002/joc.602]
17. Theeuwes, N. E., Steeneveld, G. J., Ronda, R. J., & Holtslag, A. A. (2017). A diagnostic equation for the daily maximum urban heat island effect for cities in northwestern Europe. International Journal of Climatology, 37(1), 443-454. [DOI:10.1002/joc.4717]
18. Xunqiang, M., Chen, C., Fuqun, Z., & Hongyuan, L. (2011). Study on temporal and spatial variation of the urban heat island based on Landsat TM/ETM+ in central city and Binhai New Area of Tianjin. Paper presented at the 2011 International Conference on Multimedia Technology, Hangzhou, China. [DOI:10.1109/ICMT.2011.6003213]
19. Zhou, L., Dickinson, R. E., Tian, Y., Fang, J., Li, Q., Kaufmann, R. K., . . . Myneni, R. B. (2004). Evidence for a significant urbanization effect on climate in China. Proceedings of the National Academy of Sciences, 101(26), 9540-9544. [DOI:10.1073/pnas.0400357101]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

maryanaji Z, Darvishi M, Abbasi H. Application of Statistical Models and Satellite Imagery in the Evolution of Heat Island in Hamedan City. geores. 2018; 33 (3) :124-136
URL: http://georesearch.ir/article-1-581-en.html


Volume 33, Issue 3 (2018) Back to browse issues page
فصلنامه تحقیقات جغرافیایی Geographical Researches Quarterly Journal
Persian site map - English site map - Created in 0.06 seconds with 31 queries by YEKTAWEB 3977