Numerical Study on the Effect of Buildings on Temperature Variation in Urban and Suburban Areas in Tokyo

Tokairin, Takayuki; Kumakura, Hiroaki; Yoshikado, Hiroshi; Genchi, Yutaka; Ihara, Tomohiko; Kikegawa, Yukihiro; Hirano, Yoshiyuki; Asahi, Kazutake

doi:10.2151/jmsj.84.921

Cited by 18 publications

(9 citation statements)

References 12 publications

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“…The simulated higher nighttime temperature could be related to the uncertainties associated with parameters used in the UCM. As Tokairin et al [2006] discussed in their work, the urban canopy model with the inclusion of buildings tends to overestimate nighttime temperature over the urban area. Thus, we speculate that the inappropriate building height parameters used in the UCM might lead to this overestimation.…”

Section: Resultsmentioning

confidence: 95%

Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area

Jiang¹,

Wiedinmyer²,

Chen³

et al. 2008

J. Geophys. Res.

104

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[1] This paper studies the effects of climate change under future A1B scenario and land use change on surface ozone (O 3 ) in the greater Houston, Texas, area. We applied the Weather Research and Forecasting Model with Chemistry (WRF/Chem) to the Houston area for August of current (2001)(2002)(2003) and future (2051-2053) years. The model was forced by downscaled 6-hourly Community Climate System Model (CCSM) version 3 outputs. High-resolution current year land use data from National Land Cover Database (NLCDF) and future year land use distribution based on projected population density for the Houston area were used in the WRF/Chem model coupled with an Urban Canopy Model (UCM). Our simulations show that there is generally a 2°C increase in near-surface temperature over much of the modeling domain due to future climate and land use changes. In the urban area, the effect of climate change alone accounts for an increase of 2.6 ppb in daily maximum 8-h O 3 concentrations, and a 62% increase of urban land use area exerts more influence than does climate change. The combined effect of the two factors on O 3 concentrations can be up to 6.2 ppb. The impacts of climate and land use change on O 3 concentrations differ across the various areas of the domain. The increase in extreme O 3 days can be up to 4-5 days in August, in which land use contributes to 2-3 days' increase. Additional sensitivity experiments show that the effect of future anthropogenic emissions change is on the same order of those induced by climate and land use change on extreme O 3 days.

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Section: Resultsmentioning

confidence: 95%

Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area

Jiang¹,

Wiedinmyer²,

Chen³

et al. 2008

J. Geophys. Res.

104

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“…It should be realized that Pakem can be an endemic area if the physical development is not followed by adequate community knowledge about dengue disease. Physical development can increase temperatures (Tokairin, 2006) and increase the number of breeding places (Saleeza et al, 2011), thus forming an environment suitable for the development of Aedes mosquitoes.…”

Section: Climate-dengue Incidencementioning

confidence: 99%

Determination of Environmental Factors Affecting Dengue Incidence in Sleman District, Yogyakarta, Indonesia

Kesetyaningsih¹,

Andarini²,

Sudarto³

et al. 2018

AJID

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Background: Dengue is a disease related to the environment that spreads rapidly. Prevention movement is considered ineffective; therefore, a more efficient early warning system is required. It is required strongly correlated variables to as predictor in early warning system. This study aims to identify the environmental conditions associated with dengue. Materials and methods: This ecological study was conducted on five sub-districts selected based on the trend of the incidence. Data land cover and elevation obtained using GIS. Climate data were obtained from Meteorology and Climatology and Geophysics Agency of Yogyakarta. Results: There were 1.150 dengue cases from 2008-2013 obtained from District Health Office. The spatial pattern is clustered in all sub-districts (Z-score < -2.58). There is a positive correlation between land cover and dengue (p 0.000; r 0.284) and a negative correlation between elevation areas and dengue (p 0.000; r -0.127). Multiple Regression Test shows the effect of humidity (p 0.000) and rainfall (p 0.002) with a contribution of 13.5% -27.4% (r 2 0.135 -0.274), while temperature has no effect in all sub-districts (p > 0.05). There is no effect of climate parameters in sporadic dengue areas (p > 0.05). Conclusion: It is concluded that dengue in Sleman is clustered and associated with the environment parameter, even though it does not have close correlation. High elevated and small building area is consistent with the lower dengue cases. Humidity and rainfall affect dengue, but temperature does not affect dengue.

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“…Several numerical studies have included mesoscale simulations that incorporate simple urban canopy models for investigating UHI itself (Lemonsu et al 2002Kondo and Kikegawa 2003;Martilli 2003;Dupont et al 2004;Kimura 2004a, 2004b;Otte et al 2004;Best 2005;Kondo et al 2005;Tokairin et al 2006), UHI effects on thunderstorms (Rozoff et al 2003), and UHI effects on air pollution (Kusaka and Hayami 2006;Sarrat et al 2006). A distinct improvement commonly observed in simulations that include a simple urban scheme is a better reproduction of the nocturnal urban temperature field because of the predicted large fraction of heat storage Q G /Q Ã .…”

Section: Recent Technique a Simulation Techniquementioning

confidence: 99%

Progress in Urban Meteorology :A Review

Kanda

2007

Journal of the Meteorological Society of Japan

101

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This paper reviews the progress made in urban meteorology over the past few decades. The focus is on the impact of urban surfaces on the overlying atmosphere along the conventional meteorological frameworks. Section 1 details the difficulties in generalizing urban surfaces in a meteorological sense because of surface diversity, and considers whether conventional similarity law is applicable. Section 2 describes the characteristics of urban surfaces as the bottom boundary of the atmosphere and includes a discussion of land surface parameters and the resultant surface energy partitioning. Section 3 explains characteristics of the urban atmosphere, including temperature fields, local circulations and rainfall. Section 4 describes recent progress in numerical modeling and promising new technologies, thus revealing a possible future direction for urban meteorological studies.

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Numerical Study on the Effect of Buildings on Temperature Variation in Urban and Suburban Areas in Tokyo

Cited by 18 publications

References 12 publications

Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area

Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area

Determination of Environmental Factors Affecting Dengue Incidence in Sleman District, Yogyakarta, Indonesia

Progress in Urban Meteorology :A Review

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