Impacts of land use changes from the Hanoi Master Plan 2030 on urban heat islands: Part 2. Influence of global warming

Lee, Han Soo; Trihamdani, Andhang Rakhmat; Kubota, Tetsu; Iizuka, Satoru; Phương, Trần Thị Thu

doi:10.1016/j.scs.2017.02.015

Cited by 38 publications

(23 citation statements)

References 23 publications

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“…existing UHI impacts, and in particular projections of increasing temperature due to urban growth and urban planning, are still limited [19,[42][43][44][45][46][47][48][49].…”

Section: Study Areamentioning

confidence: 99%

“…Moreover, available UHI studies are intended to evaluate the impact of existing land-use change on increasing temperature [36][37][38][39][40][41]. However, the research on mitigation of the existing UHI impacts, and in particular projections of increasing temperature due to urban growth and urban planning, are still limited [19,[42][43][44][45][46][47][48][49].…”

Section: Introductionmentioning

confidence: 99%

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The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka

et al. 2019

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Urbanization continues to trigger massive land-use land-cover change that transforms natural green environments to impermeable paved surfaces. Fast-growing cities in Asia experience increased urban temperature indicating the development of urban heat islands (UHIs) because of decreased urban green space, particularly in recent decades. This paper investigates the existence of UHIs and the impact of green areas to mitigate the impacts of UHIs in Colombo, Sri Lanka, using UrbClim, a boundary climate model that runs two classes of simulations, namely urbanization impact simulations, and greening simulations. The urbanization impact simulation results show that UHIs spread spatially with the reduction of vegetation cover, and increases the average UHI intensity. The greening simulations show that increasing green space up to 30% in urban areas can decrease the average air temperature by 0.1 °C. On the other hand, converting entire green areas into urban areas in suburban areas increases the average temperature from 27.75 °C to 27.78 °C in Colombo. This demonstrates the sensitivity of UHI to vegetation cover in both urban and suburban areas. These seemingly small changes are average grid values and may indicate much higher impacts at sub-grid levels.

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“…existing UHI impacts, and in particular projections of increasing temperature due to urban growth and urban planning, are still limited [19,[42][43][44][45][46][47][48][49].…”

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka

et al. 2019

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“…First, the consistency measure (CM) is calculated by multiplying the pairwise matrix by the PV, and then, the result is divided by the weighted sum vector with the criterion weights. Second, the consistency index (CI) is calculated, as described in Equation (6). Lastly, the CR is computed, as described in Equation 7.…”

Section: Consistency Analysismentioning

confidence: 99%

“…However, there are limitations to the models, such as the coarse resolution and uncertainty in capturing critical regional parameters, such as geographic and atmospheric parameters, and clouds [3]. To overcome such limitations, many statistical and dynamical models have emerged in recent years that can transfer the coarse resolution to finer spatial outputs at the regional scale [6,7].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Climate Change on Flood-Prone Areas in Davao Oriental, Philippines

Cabrera

Lee

2018

Water

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This study aims to quantitatively assess the impacts of climate change on the flood-prone risk areas in Davao Oriental, Philippines for the years 2030, 2050, and 2100 in comparison with the present situation by identifying flood risk zones based on multisource data, including rainfall, slope, elevation, drainage density, soil type, distance to the main channel, and population density. The future temperatures and rainfall projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) predictions of the Intergovernmental Panel on Climate Change (IPCC) were used. The future temperatures from the CMIP5 predictions showed that Davao Oriental should experience approximately 1 • C and 3 • C increases under the Representative Concentration Pathway (RCP)4.5 and RCP8.5 scenarios, respectively, while the rainfall should slightly increase in the coming years. Among the 39 general circulation models (GCMs) available from CMIP5, the GFDL-ESM2M model showed good agreement with the observed rainfall dataset at the local stations. The intensity of rainfall should increase approximately 69% in the future, resulting in an increase in the magnitude of the floods. The resulting flood risk map shows that 95.91% of Davao Oriental is presently under the low and moderate flood risk categories, and those categories should slightly decrease to 95.75% in the future. The high and very high flood risk areas cover approximately 3% of the province at present and show no dramatic change in the future. Presently, 28 out of the 183 barangays (towns) are at high and very high risks of floods, whereas in the coming years, only one barangay will be added to the very high risk of floods. These barangays under the high and very high categories of flood risk are primarily situated on riversides and coastal areas. Thus, immediate actions from decision-makers are needed to develop a community-based disaster risk plan under the future conditions.

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“…Note that the impact of future urbanization on UHI has been extensively studied (e.g., Shepherd et al 2010;Salathé et al 2010;Adachi et al 2012;Argüeso et al 2012Argüeso et al , 2014Kusaka et al 2012Kusaka et al , 2016Hamdi et al 2014;Iizuka et al 2015;Doan et al 2016;Chen and Frauenfeld 2016;Lee et al 2017;Kaplan et al 2017). For example, Argueso et al (2014) used data from 1990 to 2009 and future data from 2040 to 2059 to examine the impact of future urban expansion in Sydney.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of the Urban Heat Island in Sendai City with Potential Natural Vegetation and the 1850s and 2000s Land-Use Data

Vitanova

Kusaka

Doan

et al. 2019

Journal of the Meteorological Society of Japan

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In this study, we investigated the impact of urbanization on surface air temperatures and the urban heat island (UHI) for Sendai City. We estimated the impact of urbanization during the 150-year period by comparing the 1850s to the 2000s case. We used the Weather Research and Forecasting (WRF) model with 1-km horizontal resolution and three land-use datasets: one for potential natural vegetation (PNV) data, and the other two for realistic land-use data (the 1850s and 2000s). First, the results from the control simulation (2000s land-use case) were verified against observations. The results show that the WRF model reasonably reproduced the diurnal variation of the observed surface air temperatures in the 2000s land-use case at six stations of the Miyagi prefecture. The model mean biases ranged from −0.29 to −1.18°C in August (10-year average) and from −0.44 to −1.50°C in February (10-year average). Second, the impact of urbanization on the surface air temperature distribution in and around Sendai City was evaluated. For the 1850s land-use case, the very small urban area of Sendai City led to a negligible UHI. Note that this case yields nearly the same surface air temperatures as experiments using PNV. If we compare the simulated monthly mean surface air temperatures in the central part of Sendai City between the 1850s and 2000s land-use cases, we find that the monthly mean temperature for February in the 2000s is 1.40°C higher than that in the 1850s, whereas that for August is 1.30°C. Similarly, we find a considerable nocturnal (1800-0500 JST) average surface air temperature increase of 2.20°C in February and 2.00°C in August.

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Impacts of land use changes from the Hanoi Master Plan 2030 on urban heat islands: Part 2. Influence of global warming

Cited by 38 publications

References 23 publications

The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka

The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka

Impacts of Climate Change on Flood-Prone Areas in Davao Oriental, Philippines

Numerical Study of the Urban Heat Island in Sendai City with Potential Natural Vegetation and the 1850s and 2000s Land-Use Data

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