Peer-reviewed articles 17,970 +



Title: GIS ANALYZES ON THE URBAN HEAT ISLAND AND NEWLY BUILT AREAS THE CITY OF IASI

GIS ANALYZES ON THE URBAN HEAT ISLAND AND NEWLY BUILT AREAS THE CITY OF IASI
Paul Marian Gherasim; Marius Telisca; Mihai Dima; Cornel Dudau
10.5593/sgem2022V/4.2
1314-2704
English
22
4.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
The purpose of this work is to determine and evaluate how the newly built areas, in the municipality of Iasi, in the period 2016-2021, are affected by the Urban Island. The Urban Heat Island (UHI) represents the phenomenon of higher atmospheric and surface temperatures occurring in urban area or metropolitan area than in the surrounding rural zones due to urbanization.The data acquisition stage involved extracting construction data from the unique integrated national system of cadastre and real estate advertising, extracting data on buildings and green spaces from orthophotoplans, obtaining data from public service providers regarding utility networks, performing GNSS determinationsand extraction of temperature data for the city of Iasi for the period studied, in order to establish the urban heat island. MODIS satellite images were used to establish the urban heat island. All of the previously mentioned data were inserted into a GIS application and various analyzes and queries were performed. During the studied period, the temperature inside the heat island was 24°C during the night, and 34°C during the day. It was observed that the urban heat island was formed around the intensively built area in the middle of the studied area. It was found that the newly built areas in the city of Iasi are located in the area of the Urban Heat Island, which mainly occupies the central area of the city. This phenomenon is much more evident during the night. Also, the green spaces in the newly built area are insufficient to mitigate the effects of the heat island. I also specify the fact that the municipality of Iasi still does not comply with the regulation regarding the existence of a minimum of 20 square meters of green space per inhabitant. Based on the study, it can be concluded that, in the future, the local administration will no longer have to allow the construction of buildings in the area affected by the urban heat island, because the temperatures during the period when UHI affects the environment are very high and difficult to bear.
[1] U.S. Geological Survey, www.usgs.gov
[2] Voogt J., Oke T., Thermal remote sensing of urban climates, Texas, Remote Sensing of Environment, vol. 86, Issue 3, pp 370-384, 2003.
[3] Solecki W.D., Rosenzweig C., Parshall L., Pope G., Clark M., Cox J., Wiencke M., Mitigation of the heat island effect in urban New Jersey, Environmental Hazards, vol. 6, pp. 39-49, 2005
[4] Chen X-L., Zhao H-M., Li P-X., Yin J., Remote sensing image-based analysis of the relationship between Urban Heat Island and land use/cover changes, Remote Sensing of Environment, vol. 104, Issue 2, pp 133-146, 2006.
[5] Li, Zhao-Liang & Wu, Hua & Wang, Ning & QIU, SHI &Sobrino, Jose & WAN, ZHENGMING & Tang, Bohui& Yan, Guangjian. (2013). Land Surface Emissivity Retrieval from Satellite Data. International Journal of Remote Sensing. 34. 3084-3127. 10.1080/01431161.2012.716540.
[7] Charlson T.N, Gillies R.R, Perry M.E, A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover, Remote Sensing Reviews, Country, 1994, pp. 161-173.
[6] Chander G., Markham B., Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges, IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no.11, pp. 2674-2677, 2003.
[8] Orhan O., Ekercin S., Dadaser-Celik F., Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover, The Scientific World Journal, vol. 2014, pp. 1-11, 2014.
[9] Rouse J., Haas R., and Schell J., Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation, Texas A and M University, College Station, 1974.
[10] Sobrino J., Jimenez-Munoz J-C., Barres G.S., Romaguera M., Land surface emissivity retrieval from different VNIR and TIR sensors, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, Issue 2, pp. 316-327, 2008.
[11] Sobrino J., Jimenez-Munoz J-C., Paolini L., Land surface temperature retrieval from LANDSAT TM 5, Remote Sensing of Environment, vol. 90, Issue 4, pp. 434-440, 2004.
[12] Ia?i County, Wikipedia, https://en.wikipedia.org/wiki/Ia%C8%99i_County
conference
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 06-08 December, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
287-294
06-08 December, 2022
website
8853
Land Surface Temperature, GIS, building area, green spaces

24th SGEM International Conference on Earth & Planetary Sciences


International GeoConference SGEM2024
28 June - 8 July, 2024 / Albena, Bulgaria

Read More
   

SGEM Vienna GREEN "Green Science for Green Life"


Extended Scientific Sessions SGEM Vienna GREEN
25 - 29 November, 2024 / Vienna, Austria

Read More
   

A scientific platform for Art-Inspired Scientists!


The Magical World Where Science meets Art
Vienna, Austria

Read More