The Impact of Anthropogenic Heat on Formation of Urban Heat Island and Energy Consumption Balance

Shahmohamadi, P.; Che‐Ani, Adi Irfan; Maulud, Khairul Nizam Abdul; Tawil, Norngainy Mohd; Abdullah, Nurul-Azza

doi:10.1155/2011/497524

Cited by 175 publications

(101 citation statements)

References 26 publications

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“…For the two most commonly used impervious materials (concrete and mixed asphalt), both of them had a higher variability and wider extent in temperature likely due to the heterogeneity of imperviousness surfaces. This heterogeneous characteristic is determined by many factors such as thermal properties and anthropogenic activity [62,63]. Interestingly, concrete was warmer than asphalt during the noon and evening, but appeared cooler in the morning.…”

Section: Analysis Of Urban Thermal Patterns At the Microscale Levelmentioning

confidence: 99%

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

Liu

Zhang

et al. 2015

Remote Sensing

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Abstract:The urban heat island (UHI) effect resulting from rapid urbanization generally has a negative impact on urban residents. Shijiazhuang, the capital of Hebei Province in China, was selected to assess surface thermal patterns and its correlation with Land Cover Types (LCTs). This study was conducted using Landsat TM images on the mesoscale level and airborne hyperspectral thermal images on the microscale level. Land surface temperature (LST) was retrieved from four scenes of Landsat TM data in the summer days to analyze the thermal spatial patterns and intensity of surface UHI (SUHI). Surface thermal characteristics were further examined by relating LST to percentage of imperious surface area (ISA%) and four remote sensing indices (RSIs), the Normalized Difference Vegetation Index (NDVI), Universal Pattern Decomposition method (VIUPD), Normalized Difference Built-up Index (NDBI) and Biophysical Composition Index (BCI). On the other hand, fives scenes of airborne TASI (Thermal Airborne Spectrographic Imager sensor) images were utilized to describe more detailed urban thermal characteristics of the downtown of Shijiazhuang city. Our results show that an obvious surface heat island effect OPEN ACCESSRemote Sens. 2015, 7 4805 existed in the study area during summer days, with a SUHI intensity of 2-4 °C. The analyses reveal that ISA% can provide an additional metric for the study of SUHI, yet its association with LST is not straightforward and this should a focus in future work. It was also found that two physically based indices, VIUPD and BCI, have the potential to account for the variation in urban LST. The results concerning on TASI indicate that diversity of impervious surfaces (rooftops, concrete, and mixed asphalt) contribute most to the SUHI, among all of the land cover features. Moreover, the effect of impervious surfaces on LST is complicated, and the composition and arrangement of land cover features may play an important role in determining the magnitude and intensity of SUHI. Overall, the analysis of urban thermal signatures at two spatial scales complement each other and the use of airborne imagery data with higher spatial resolution is helpful in revealing more details for understanding urban thermal environments.Keywords: urban heat island (UHI); land cover types (LCTs); impervious surface area (ISA); thermal airborne spectrographic imager (TASI)

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Section: Analysis Of Urban Thermal Patterns At the Microscale Levelmentioning

confidence: 99%

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

Liu

Zhang

et al. 2015

Remote Sensing

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“…The most significant of this change are variations in thermal characteristics of the area. Thus, built up areas tend to have land surface temperatures (LST) higher than surrounding suburban environment [8] [9]; and these thermal differences are contributing to the development of microclimatic condition otherwise referred to as the urban heat island (UHI) [1] [2] [10] [11]. Numerous studies [9]- [14] which have studied the relative effects of land use/Land cover change (LULCC) on LST have always found a positively correlated result with imperviousness.…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Use/Land Cover Change on Surface Temperature Condition of Awka Town, Nigeria

Nzoiwu¹,

Agulue²,

Mbah³

et al. 2017

JGIS

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This paper is aimed at identifying the land use/cover types in Awka in relation to their temporal dynamics, the extent of land use change in the city and effects of land use change on surface temperature. Multitemporal Landsat TM, ETM + and OLI imageries were obtained at 15 years interval for 1986, 2000 and 2015 respectively. Image classification was conducted using supervised classification method. The result showed that built-up area has been on the increase, expanding from 9.55 sqkm in 1986 to 21.3 sqkm in 2000 and 21.45 sqkm in 2015. Cultivated lands have maintained a steady decline since 2000 having lost about 3.29 sqkm of its area. Similarly, vegetation, made up of dense, savanna and riparian, has been on a decline from a total of 33.69sqkm in 1986 to 21.407 sqkm losing about 12.29 sqkm of its area and increased by a mere 4.07 sqkm in 2015. These alterations had given rise to an average increase of 2.2˚C in surface radiant temperature. This study recommends that relevant government planning agencies (ACTDA, ASHDC, etc.) should factor in the concept of greening and green spaces into their development policies and strategies to ensure that fair, conducive microclimate and sustainable environment is maintained in the Awka urban area.

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“…The main reasons for the difference in temperatures of various cities are the heat balance and water balance (Ming et al, 2014). These are affected by the transformation of the earth's surface into concrete and asphalt, causing a quick dry off precipitation (Shahmohamadi et al, 2011). Other causes include the surface roughness which has increased due to the construction of buildings, the heat supplied by the domestic of combustion that aggravate the air quality in the city (Carter et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Long-Term Temperature Trend as an Urban Climate Change Indicator

Subarna

2017

For. Geo.

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Abstract. Temperature plays a major role in detecting climate change brought about by urbanisation and industrialisation. Most climatic impact studies rely on changes in the average values of meteorological variables such as temperature. This paper attempts to study the temporal changes in the mean value of the air surface temperature over this study were taken from the Jakarta Climatology Station because they are of are good quality, there are extensive records and there is little missing or blank data. Statistic descriptive methods were employed, including a description of the type of probabilistic model chosen to represent the monthly mean air surface temperature time series. The long-term change in temperature was evaluated using the Mann-Kendall trend test method and the statistical linear trend test; the results of these two tests agreed. During the last 100 years, data observations from the station indicate that the monthly mean value of the air surface temperature of Jakarta city has increased at a rate of about 0.152°C decade and has not exhibited variability signals but has changed on average. Based on the linear regression model, the mean value of the air surface temperature over Jakarta city is estimated to reach around 28.5°C in 2050 and 29.23°C in 2100.

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The Impact of Anthropogenic Heat on Formation of Urban Heat Island and Energy Consumption Balance

Cited by 175 publications

References 26 publications

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

Impact of Land Use/Land Cover Change on Surface Temperature Condition of Awka Town, Nigeria

Analysis of Long-Term Temperature Trend as an Urban Climate Change Indicator

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