Urban-rural temperature differences in coastal cities: influence of rural sites

Sakakibara, Yasushi; Owa, Kaori

doi:10.1002/joc.1180

Cited by 69 publications

(42 citation statements)

References 4 publications

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“…Diverse criteria and methodologies are actually used to select the reference rural temperature based on the specific characteristics of each considered city. In some cases, several stations located around the city are considered and the average temperature is used as the reference one [52,53]. In another case a reference station located in a green belt around the city was used as Ref.…”

Section: Urban Heat Island Facts Myths and Misunderstandingsmentioning

confidence: 99%

Regulating the damaged thermostat of the cities—Status, impacts and mitigation challenges

Santamouris

2015

Energy and Buildings

198

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Section: Urban Heat Island Facts Myths and Misunderstandingsmentioning

confidence: 99%

Regulating the damaged thermostat of the cities—Status, impacts and mitigation challenges

Santamouris

2015

Energy and Buildings

198

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“…Rural stations in Hong Kong with a sufficiently long time series of records for trend studies are lacking. Although the weather station at Waglan Island has a reasonably long data period, this is an offshore island station which is not suitable for UHI studies, as its temperature is modulated by nearby sea surface temperature most of the time (Sakakibara & Owa 2005). We used Macao, a station located west of the Pearl River Estuary and about 65 km from Hong Kong, as the rural station in this study.…”

Section: Possible Causes Of the Changesmentioning

confidence: 99%

Temperature trends in Hong Kong from a seasonal perspective

Chan¹,

Kok²,

Lee³

2012

Clim. Res.

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We examined the seasonal trends of mean and extreme temperatures in Hong Kong using data from 1885−2010. The analysis revealed that the daily maximum temperature (T Max ), daily mean temperature (T Mean ), and daily minimum temperature (T Min ) of Hong Kong had a significant long-term increasing trend in all 4 seasons and that the warming trend was more prominent in winter and spring. The relatively higher rate of increase in temperatures in winter and spring could be attributed to local urbanization effects and the weakening of the East Asian winter monsoon in the last few decades. For extreme indices, we observed a significant increase in the hot indices (TN90p and TX90p) and a significant decrease in the cold indices (TX10p and TN10p) in all seasons. The seasonal variations in the heating and cooling degree-days (HDD and CDD) also indicated that CDD in spring, summer, and autumn had a significant increasing trend, while HDD in spring, autumn and winter had a decreasing trend. Analysis of the hot and cool periods in Hong Kong showed a significant decreasing (increasing) trend in the number of cool (hot) days. Also, the cool (hot) period has become shorter (longer) over the last century.

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“…Thus, it is vital to understand the SUHI formation in order to introduce proper mitigation measures. Formerly, most SUHI studies focused on various types of cities, such as tropical coastal cities [11,13,14], desert cities [9,15], and mountain cities [7]. Hence, studies regarding the SUHI formation in mountain cities are becoming important for identifying the rapid changing patterns of the thermal environment.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Surface Urban Heat Island Formation in the World Heritage Tropical Mountain City of Sri Lanka

Ranagalage

Dissanayake

Murayama

et al. 2018

IJGI

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Presently, the urban heat island (UHI) phenomenon, and its adverse impacts, are becoming major research foci in various interrelated fields due to rapid changes in urban ecological environments. Various cities have been investigated in previous studies, and most of the findings have facilitated the introduction of proper mitigation measures to overcome the negative impact of UHI. At present, most of the mountain cities of the world have undergone rapid urban development, and this has resulted in the increasing surface UHI (SUHI) phenomenon. Hence, this study focuses on quantifying SUHI in Kandy City, the world heritage tropical mountain city of Sri Lanka, using Landsat data (1996 and 2017) based on the mean land surface temperature (LST), the difference between the fraction of impervious surfaces (IS), and the fraction of green space (GS). Additionally, we examined the relationship of LST to the green space/impervious surface fraction ratio (GS/IS fraction ratio) and the magnitude of the GS/IS fraction ratio. The SUHI intensity (SUHII) was calculated based on the temperature difference between main land use/cover categories and the temperature difference between urban-rural zones. We demarcated the rural zone based on the fraction of IS recorded, <10%, along with the urban-rural gradient zone. The result shows a SUHII increase from 3.9 • C in 1996 to 6.2 • C in 2017 along the urban-rural gradient between the urban and rural zones (10 < IS). These results relate to the rapid urban expansion of the study areas from 1996 to 2017. Most of the natural surfaces have changed to impervious surfaces, causing an increase of SUHI in Kandy City. The mean LST has a positive relationship with the fraction of IS and a negative relationship with the fraction of GS. Additionally, the GS/IS fraction ratio shows a rapid decline. Thus, the findings of this study can be considered as a proxy indicator for introducing proper landscape and urban planning for the World Heritage tropical mountain city of Kandy in Sri Lanka.

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Urban-rural temperature differences in coastal cities: influence of rural sites

Cited by 69 publications

References 4 publications

Regulating the damaged thermostat of the cities—Status, impacts and mitigation challenges

Regulating the damaged thermostat of the cities—Status, impacts and mitigation challenges

Temperature trends in Hong Kong from a seasonal perspective

Quantifying Surface Urban Heat Island Formation in the World Heritage Tropical Mountain City of Sri Lanka

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