2014
DOI: 10.4236/jep.2014.511099
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Method for Evaluating the Influence of Obstruction of Sea Breeze by Clusters of High-Rise Buildings on the Urban Heat Island Effect

Abstract: This study aims to propose a method for quantitatively evaluating the influence which the obstruction of sea breezes by clusters of high-rise buildings has on the urban heat island effect using a weather simulation model and Geographic Information Systems (GIS). Specifically, a method of evaluating the influence of the obstruction of sea breeze by high-rise buildings on the urban heat island effect was proposed. In the method, two scenarios that imagine urban forms which differ with regard to whether or not th… Show more

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Cited by 4 publications
(3 citation statements)
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“…However, the presence of the sea breeze during the daytime of warm periods allows the transfer of the relatively cooler air into the city and enhances wind speeds [105,106]. Hence, the sea breeze contributes significantly in reducing heat island intensity in coastal cities.…”
Section: Spatio-temporal Evolution Of Suhii In Summermentioning
confidence: 99%
“…However, the presence of the sea breeze during the daytime of warm periods allows the transfer of the relatively cooler air into the city and enhances wind speeds [105,106]. Hence, the sea breeze contributes significantly in reducing heat island intensity in coastal cities.…”
Section: Spatio-temporal Evolution Of Suhii In Summermentioning
confidence: 99%
“…The WRF model uses land use categories in USGS, which are different from those in the GSI dataset. Therefore, GSI land use categories were reclassified as USGS categories following the correspondence list of Sashiyama and Yamamoto (2014) (Table 1). Figure 2 shows land use category in each grid cell around Ise Bay in model domain 3, which has a horizontal grid size of 800 m. In coastal areas, USGS dataset indicates dominance of cropland and grassland while GSI dataset indicates dominance of low and high residential areas.…”
Section: Region-specific Dataset: Geospatial Information Authority Ofmentioning
confidence: 99%
“…Correspondence list of land use classifications. This list is based onSashiyama and Yamamoto (2014).…”
mentioning
confidence: 99%