Scholarly record
GIS ANALYZES ON THE URBAN HEAT ISLAND AND NEWLY BUILT AREAS THE CITY OF IASI
Abstract
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.
Publication Impact Profile
Publication details
References13
U.S. Geological Survey, www.usgs.gov
Voogt J., Oke T., Thermal remote sensing of urban climates, Texas, Remote Sensing of Environment, vol. 86, Issue 3, pp 370-384, 2003. DOI: 10.1016/s0034-4257(03)00079-8
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 DOI: 10.1016/j.hazards.2004.12.002
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. DOI: 10.1016/j.rse.2005.11.016
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. DOI: 10.1080/01431161.2012.716540.
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. DOI: 10.1080/02757259409532220
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. DOI: 10.1109/tgrs.2003.818464
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. DOI: 10.1080/02757259409532220
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. DOI: 10.1109/tgrs.2003.818464
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. DOI: 10.1155/2014/142939
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.
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. DOI: 10.1109/tgrs.2007.904834
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. DOI: 10.1016/j.rse.2004.02.003
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
