Correlation analysis of land surface temperature and topographic elements in Hangzhou, China

Peng, Xiaoxue; Wu, Wenyuan; Zheng, Yaoyao; Sun, Jingyi; Hu, Tangao; Wang, Pin

doi:10.1038/s41598-020-67423-6

Cited by 98 publications

(62 citation statements)

References 53 publications

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“…This is because plants and waterbodies transmit water to the atmosphere through evapotranspiration [57], which increases humidity and reduces heat in the city [58]. The DEM and slope were negatively correlated with UHIs at a significance of 1%, which is consistent with the results reported by Peng et al [32]. In general, with an increase in altitude, the temperature gradually decreases, and high altitude areas tend to have fewer human activities [59].…”

Section: A Factors Driving Uhissupporting

confidence: 88%

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Sun¹,

Hu²,

Yu³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The urban environment is a complex system featuring interactions between nature and humans. Scant research on urban areas has analyzed and assessed urban heat islands (UHIs) from the perspectives of nature and humans. This study analyzes the spatio-temporal characteristics of UHIs in Hangzhou in China in the context of the relationship between nature and humans based on the standard deviational ellipse, Pearson correlation analysis, and principal component analysis. The results show the following: (1) From 2000 to 2020, the coverage of UHIs in the main urban area of Hangzhou decreased, but areas with sub-high temperatures and high temperatures increased. (2) From 2000 to 2020, the main axis of the spatial development of UHIs persisted along the northwest-southeast direction. The spatial pattern of UHIs in Hangzhou was closely related to the direction of urban development. (3) The results of principal component analysis show that socio-economic activities, surface coverage and topography were the major factors influencing UHIs in Hangzhou. (4) Natural factors have slowed the development of UHIs while human factors have aggravated their formation, where the former contributed more significantly to them than the latter. For each unit of change in nine factors that were considered, the surface temperature in the study area decreased by 0.166 units. Index Terms-Urban heat islands (UHIs), multisource data, natural and human factors, spatio-temporal database.

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Section: A Factors Driving Uhissupporting

confidence: 88%

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Sun¹,

Hu²,

Yu³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…10 b), except the Washington where croplands and forests showed a positive LST anomaly. So, the large variability in the LST anomalies over Europe and North America during the period of the lockdown can be also ascribed to LULC types, which depend upon the associated geographical conditions like, elevation, slope and aspects ( Peng et al, 2020 ). However, significant changes in the magnitude of the negative LST anomalies with respect to LULC are observed between the cities, supporting the complex associations between LST anomalies and LULC types.…”

Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 induced lockdown on land surface temperature, aerosol, and urban heat in Europe and North America

Parida

Bar

Kaskaoutis

et al. 2021

Sustainable Cities and Society

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The outbreak of SARS CoV-2 (COVID-19) has posed a serious threat to human beings, society, and economic activities all over the world. Worldwide rigorous containment measures for limiting the spread of the virus have several beneficial environmental implications due to decreased anthropogenic emissions and air pollutants, which provide a unique opportunity to understand and quantify the human impact on atmospheric environment. In the present study, the associated changes in Land Surface Temperature (LST), aerosol, and atmospheric water vapor content were investigated over highly COVID-19 impacted areas, namely, Europe and North America. The key findings revealed a large-scale negative standardized LST anomaly during nighttime across Europe (–0.11°C to –2.6°C), USA (–0.70°C) and Canada (–0.27°C) in March–May of the pandemic year 2020 compared to the mean of 2015–2019, which can be partly ascribed to the lockdown effect. The reduced LST was corroborated with the negative anomaly of air temperature measured at meteorological stations (i.e. –0.46°C to –0.96°C). A larger decrease in nighttime LST was also seen in urban areas (by ∼1–2°C) compared to rural landscapes, which suggests a weakness of the urban heat island effect during the lockdown period due to large decrease in absorbing aerosols and air pollutants. On the contrary, daytime LST increased over most parts of Europe due to less attenuation of solar radiation by atmospheric aerosols. Synoptic meteorological variability and several surface-related factors may mask these changes and significantly affect the variations in LST, aerosols and water vapour content. The changes in LST may be a temporary phenomenon during the lockdown but provides an excellent opportunity to investigate the effects of various forcing controlling factors in urban microclimate and a strong evidence base for potential environmental benefits through urban planning and policy implementation.

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“…The results depict an increasing trend of NDBI values for Delhi; almost no trend for Dhaka and decreasing trend for KV ( Figure 15). The spatio-temporal variation in the NDVI and NDBI values might be the consequences of the local climatic conditions [55] of the study area. The spatio-temporal variation over the different topographical regions has been well established in the study domains.…”

Section: Relationship Between Lst Ndvi and Ndbimentioning

confidence: 99%

Evaluation of Urban Heat Island (UHI) Using Satellite Images in Densely Populated Cities of South Asia

Maharjan

Aryal

Shakya

et al. 2021

Earth

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Rapid Urbanization, and other anthropogenic activities, have amplified the change in land-use transition from green space to heat emission in built-up areas globally. As a result, there has been an increase in the land surface temperature (LST) causing the Urban Heat Island (UHI) effect, particularly in large cities. The UHI effect poses a serious risk to human health and well-being, magnified in large developing cities with limited resources to cope with such issues. This study focuses on understanding the UHI effect in Kathmandu Valley (KV), Delhi, and Dhaka, three growing cities in South Asia. The UHI effect was evaluated by analyzing the UHI intensity of the city with respect to the surroundings. We found that the central urban area, of all three cities, experienced more heat zones compared to the peri-urban areas. The estimated average surface temperature ranged from 21.1 ∘C in March 2014 to 32.0 ∘C in June 2015 in KV, while Delhi and Dhaka experienced surface temperature variation from 29.7 ∘C in June 2017 to 40.2 ∘C in June 2019 and 23.6 ∘C in March 2017 to 33.2 ∘C in March 2014, respectively. Based on magnitude and variation of LST, highly built-up central KV showed heat island characteristics. In both Delhi and Dhaka, the western regions showed the UHI effect. Overall, this study finds that the UHI zones are more concentrated near the urban business centers with high population density. The results suggest that most areas in these cities have a rising LST trend and are on the verge of being UHI regions. Therefore, it is essential that further detailed assessment is conducted to understand and abate the impact of the temperature variations.

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Correlation analysis of land surface temperature and topographic elements in Hangzhou, China

Cited by 98 publications

References 53 publications

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Impact of COVID-19 induced lockdown on land surface temperature, aerosol, and urban heat in Europe and North America

Evaluation of Urban Heat Island (UHI) Using Satellite Images in Densely Populated Cities of South Asia

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