Satellite and Ground-Based Sensors for the Urban Heat Island Analysis in the City of Rome

Fabrizi, Roberto; Bonafoni, Stefania; Biondi, Riccardo

doi:10.3390/rs2051400

Cited by 109 publications

(68 citation statements)

References 17 publications

(29 reference statements)

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“…The results on the UHI intensity at microscale in Barcelona agree with the findings of Moreno-Garcia's analysis and are comparable to the UHI intensities found in other cities using observations at street level, such as Rome [25][26][27], Athens [19], Tel Aviv [31] and other Greek coastal cities [21,22].…”

Section: Summer Uhi Intensity At Microscalesupporting

confidence: 81%

“…More recently, Bonacquisti et al [25] reported an urban-rural temperature difference of around 3°C, with a maximum of 5°C in summer, during night-time. These results were confirmed by additional studies carried out in Rome [26][27][28], which detected an average UHI intensity between 3°C and 4 °C, with a peak intensity of 4.5° C in summer.…”

Section: Introductionsupporting

confidence: 78%

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Assessing the urban heat island and its energy impact on residential buildings in Mediterranean climate: Barcelona case study

Salvati

Roura²,

Cecere

2017

Energy and Buildings

156

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Highlights The maximum urban heat island intensity(UHI) reaches 4.3°C during summer  During daytime, air temperatures at the street level are higher than the roof level  The sea breeze has a positive effect on the roof level temperatures during summer  The UHI determines an average increase of the cooling load between 18% and 28%  The energy impact of the UHI is more relevant for higher solar gains Abstract: The Urban Heat Island (UHI) effect is particularly concerning in Mediterranean zone, as climate change and UHI scenarios foresee a fast growth of energy consumption for next years, due to the widespread of air conditioning systems and the increase of cooling demand. The UHI intensity is thus a key variable for the prediction of energy needs in urban areas.This study investigates the intensity of UHI in Barcelona (Spain), the densest Mediterranean coastal city, and its impact on cooling demand of residential buildings.The experimental analysis is based on temperature data from rural and urban Weather Stations and field measurements at street level. The maximum average UHI intensity is found to be 2.8 °C in winter and 1.7°C in summer, reaching 4.3°C at street level. Simulations performed with EnergyPlus indicate that the UHI intensity increases the sensible cooling load of residential buildings by around 18% to 28%, depending on UHI intensity, amount of solar gains and cooling set point.In the light of the results, the UHI intensity in Mediterranean context should be properly considered in performing energy evaluations for urban contexts, since standard meteorological data from airport weather stations are not found to be accurate enough.

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Section: Summer Uhi Intensity At Microscalesupporting

confidence: 81%

Section: Introductionsupporting

confidence: 78%

Assessing the urban heat island and its energy impact on residential buildings in Mediterranean climate: Barcelona case study

Salvati

Roura²,

Cecere

2017

Energy and Buildings

156

View full text Add to dashboard Cite

show abstract

“…The coefficient of determination of the linear model in predicting the air temperature based on MODIS data is about 0.80. In Madrid, based on SEVIRI and MODIS data, the maximal intensity of SUHI in the summer months can reach 5°C (Fabrizi et al 2011), while in Rome, it is 3 to 4°C during nighttime and negative or almost zero SUHI intensity during daytime (Fabrizi et al 2010).…”

Section: Introductionmentioning

confidence: 99%

The urban heat island in the city of Poznań as derived from Landsat 5 TM

Majkowska

Kolendowicz

Półrolniczak

et al. 2016

Theor Appl Climatol

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To study urban heat island (UHI), Landsat 5 TM data and in situ measurements of air temperature from nine points in Poznań (Poland) for the period June 2008-May 2013 were used. Based on data from measurement points located in different types of land use, the surface urban heat island (SUHI) maps were created. All available and qualitycontrolled Landsat 5 TM images from 15 unique days were used to obtain the characteristics of land surface temperature (LST) and UHI intensity. In addition, spatial analysis of UHI was conducted on the basis of Corine Land Cover 2006 dataset. In situ measurements at a height of 2 m above ground level show that the UHI is a common occurrence in Poznań with a mean annual intensity of 1.0°C. The UHI intensity is greater during the warm half of the year. Moreover, results based on the remote sensing data and the Corine Land Cover 2006 indicate that the highest value of the mean LST anomalies (3.4°C) is attained by the continuous urban fabric, while the lowest value occurs within the broad-leaved forests (−3.1°C). To re-count from LST to the air temperature at a height of 2 m above ground level (T agl ), linear and non-linear regression models were created. For both models, coefficients of determination equal about 0.80, with slightly higher value for the non-linear approach, which was applied to estimate the T agl spatial variability over the city of Poznań.

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“…Urban landscapes have high proportions of impermeable surfaces for the purposes of transportation, commercial use, industrial zones, as well as residential spaces (Jin and Dickinson, 2010). Consequently, in comparison to the surrounding suburbs, the central city undergoes a warming microclimate caused by the mounting air temperature, which is generally referred to as the urban heat island (UHI) effect (Rinner and Hussain, 2011;Liu and Zhang, 2011;Fabrizi et al, 2010;Hamdi, 2010;Jin et al, 2011). UHI effects can cause tremendous damage to both environmental conditions and public health by inducing the release of poisonous gases, causing species extinction, and exacerbating premature human deaths (Changnon et al, 1996).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporally characterizing urbantemperatures based on remote sensing and GISanalysis: a case study in the city of Saskatoon(SK, Canada)

Shen

Guo

Kang³

2014

Open Geosciences

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Abstract:The purpose of this study is to spatiotemporally explore the characteristics of urban temperatures based on multi-temporal satellite data and historical in situ measurements. As one of the most rapidly urbanized cities in Canada, Saskatoon (SK) was selected as our study area. Surface brightness retrieving, Pearson correlation, linear regression modeling, and buffer analysis were applied to different satellite datasets. The results indicate that both Landsat and MODIS data can yield pronounced estimations of daily air temperature with a significantly adjusted R 2 of 0.803 and 0.518 at the spatial scales of 120 m and 1000 m, respectively. MODIS monthly LST data is highly suitable for monitoring the trend of monthly urban air temperature throughout summer (June, July, and August) due to a high average R 2 of 0.8 (P<0.05), especially for the warmest month (July). Our findings also reveal that both the Saskatchewan River and urban green spaces have statistically significant cooling effects on the surrounding urban surface temperatures within 500 m and 200 m, respectively. In addition, a multiple linear regression model with four influential factors as independent variables can be developed to estimate urban surface temperatures with a highest adjusted R 2 of 0.649 and a lowest standard error of 0.076.

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Satellite and Ground-Based Sensors for the Urban Heat Island Analysis in the City of Rome

Cited by 109 publications

References 17 publications

Assessing the urban heat island and its energy impact on residential buildings in Mediterranean climate: Barcelona case study

Assessing the urban heat island and its energy impact on residential buildings in Mediterranean climate: Barcelona case study

The urban heat island in the city of Poznań as derived from Landsat 5 TM

Spatiotemporally characterizing urbantemperatures based on remote sensing and GISanalysis: a case study in the city of Saskatoon(SK, Canada)

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