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Lăcrămioara Radomir, Raluca Ciornea, Huiwen Wang, Yide Liu, Christian M. Ringle & Marko Sarstedt (Editors), State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), Springer, 2023
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Herbel, I., Croitoru, A.E., Rus, A.V., Rosca, C.F., Harpa, G.V., Ciupertea, A.F., Rus, I. (2018) Theoretical and Applied Climatology [Q2]

Autor: Ovidiu Ioan Moisescu

Publicat: 17 Septembrie 2021


Herbel, I., Croitoru, A.E., Rus, A.V., Rosca, C.F., Harpa, G.V., Ciupertea, A.F., Rus, I. (2018) The impact of heat waves on surface urban heat island and local economy in Cluj-Napoca city, Romania. Theoretical and Applied Climatology, 133(3), 681-695.

DOI: https://doi.org/10.1007/s00704-017-2196-4

✓ Publisher: Springer
✓ Categories: Meteorology & Atmospheric Sciences
✓ Article Influence Score (AIS): 0.749 (2018) / Q2

Abstract: The association between heat waves and the urban heat island effect can increase the impact on environment and society inducing biophysical hazards. Heat stress and their associated public health problems are among the most frequent. This paper explores the heat waves impact on surface urban heat island and on the local economy loss during three heat periods in Cluj-Napoca city in the summer of 2015. The heat wave events were identified based on daily maximum temperature, and they were divided into three classes considering the intensity threshold: moderate heat waves (daily maximum temperature exceeding the 90th percentile), severe heat waves (daily maximum temperature over the 95th percentile), and extremely severe heat waves (daily maximum temperature exceeding the 98th percentile) The minimum length of an event was of minimum three consecutive days. The surface urban heat island was detected based on land surface temperature derived from Landsat 8 thermal infrared data, while the economic impact was estimated based on data on work force structure and work productivity in Cluj-Napoca derived from the data released by Eurostat, National Bank of Romania, and National Institute of Statistics. The results indicate that the intensity and spatial extension of surface urban heat island could be governed by the magnitude of the heat wave event, but due to the low number of satellite images available, we should consider this information only as preliminary results. Thermal infrared remote sensing has proven to be a very efficient method to study surface urban heat island, due to the fact that the synoptic conditions associated with heat wave events usually favor cloud free image. The resolution of the OLI_TIRS sensor provided good results for a mid-extension city, but the low revisiting time is still a drawback. The potential economic loss was calculated for the working days during heat waves and the estimated loss reached more than 2.5 mil. EUR for each heat wave day at city scale, cumulating more than 38 mil. EUR for the three cases considered.



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