THIS – Tool for Heat Island Simulation: A GIS extension model to calculate urban heat island intensity based on urban geometry

Nakata-Osaki, Camila Mayumi; Souza, Léa Cristina Lucas de; Rodrigues, Daniel Souto

doi:10.1016/j.compenvurbsys.2017.09.007

Cited by 64 publications

(29 citation statements)

References 27 publications

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“…First of all, the calculation method does not include detailed analyses at the architectural level, focusing on single building locations or small green infrastructure solutions, like green roofs or green walls. Such detailed assessment is possible [38,47], however, it is not suitable to incorporate such assessment types into existing spatial decision support systems. Metronamica, which was used for the land use change projections, is predesigned for larger areas.…”

Section: Discussionmentioning

confidence: 99%

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The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

Kazak

2018

Sustainability

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Abstract:The increasing level of antropopression has a negative impact on environmental resources and has reached the level of our planetary boundaries. One limitation is land use change caused by urbanization. Global policies prove the need to undertake action in order to develop more sustainable human settlements, which would be adapted better to potential future climate change effects. Among such changes are the increase of average temperatures and extreme events like heat waves. Those changes are more severe in urban areas due to land use development, and result in the urban heat island effect (UHI), which has a negative impact on the thermal comfort of citizens. The paper presents a decision support system that can be used for the assessment of areas to the potential exposure to the UHI effect. The system integrates scenario analysis, land use modelling in cellular automata (Metronamica), and an indicator-based assessment in a geographic information system (ArcGIS). The applicability of the model is illustrated through developing scenarios for the future land use allocation of the Wrocław Larger Urban Zone (Poland). The results of the calculations show which scenario is the least vulnerable to UHI effects. Moreover, for each scenario, cores of urban areas were identified, in which certain urban design patterns accounting for adaptation to climate change could be implemented. The study provides a guideline for local authorities on where to focus actions in order to create more sustainable urban structures and to better adapt to climate change and environmental extremes.

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Section: Discussionmentioning

confidence: 99%

“…The UHI modelling is a complex matter due to the multi-factor characteristics of the phenomenon [46]. In case of already developed areas, it is possible to include drivers such as the location of each building and the heights and shapes of all objects in the assessment [47]. Still, researchers interpret the results with reserve.…”

Section: Introductionmentioning

confidence: 99%

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

Kazak

2018

Sustainability

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“…These models have in common the fact of maintaining the building alignment along the whole perimeter of the blocks. It is possibly related to a reduction of the discrepancies between the DM and SMs geometry aspect ratio, or H/W (Height/Width) factor, since a body of research establishes a close connection between this factor and climatic phenomena such as heat islands (OKE, 1981;NAKATA-OSAKI;SOUZA;RODRIGUES, 2018).…”

Section: Overall Performancementioning

confidence: 99%

A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulation

Favretto

Souza

2019

Ambient. constr.

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A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulationUma meta-análise sobre simplificações da modelagem geométrica em simulações do clima urbano com o software ENVI-met Abstract nvironmental modelling requires, among other aspects, a description of the built geometry. However, the complexity of the urban tissue draws uncertainties about the building form and locations. Therefore, during the planning process generic simplified geometry models may be more appropriate than the detailed ones. This research shows a meta-analysis performed by comparing the results of detailed and simplified geometric models. The prediction deviations that may arise from using geometric simplifications on ENVI-met modelling were evaluated, considering the output data from different building typologies (one and ten-storey buildings) and urban scenarios (with and without internal squares). Three metrics were analysed: air temperature, wind speed, and sky view factor (SVF). These metrics were normalized between 0 and 1 for comparison and performance assessment. The results indicated that the most adequate simplification models are those that that have kept the building perimeter of the blocks unchanged in relation to the corresponding detailed models.

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“…The most used approach for investigating the role of urban trees on land surface temperature (LST) is based on multivariate spatial statistical models in which the normalized difference vegetation index (NDVI) is used as an explanatory variable (see Weng, Lu, & Schubring, 2004;Yuan & Bauer, 2007;Guo et al, 2015;Bonafoni, Anniballe, Gioli, & Toscano, 2016;;Zhao, Jensen, Weng, & Weaver, 2018). According to the literature, urban morphology also has an important role in shaping urban heat island phenomena; the relationship between LST and urban morphology has recently been analyzed using the Sky View Index (SVI) calculated based on 3D city models, which are derived from LiDAR data (Kokalj, Zakšek, & Oštir, 2011;Chun & Guldman, 2014;Tan, Lau, & Ng, 2016;Nakata-Osaki, Souza, & Rodrigues, 2018). Mirzaei (2015, p. 204) in a review of UHI assessment methods at different scales, concludes that "despite the ability of mesoscale models to investigate the large-scale effect of the UHI, their accuracy is not efficient to provide details on the urban canopy layer and this gap therefore will require further research to develop spatially and computationally efficient models."…”

Section: Introductionmentioning

confidence: 99%

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

Barbierato

Bernetti

Capecchi

et al. 2019

European Journal of Remote Sensing

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The climate of a city influences the ways in which its outdoor spaces are used. Especially, public spaces intended for use by pedestrians and cyclists, such as parks, squares, residential and commercial streets, and foot and cycle paths will be used and enjoyed more frequently if they have a comfortable and healthy climate. Due to the predicted global temperature increase, urban climate is likely to become more uncomfortable, especially in summer when an increase in heat stress is expected. Urban forestry has been proposed as one approach for mitigating the human health consequences of increased temperature resulting from climate change. The aims of the current research were to (a) provide a transferable methodology useful for analyzing the effect of urban trees on surface temperature reduction, particularly in public spaces, and (b) provide high-resolution urban mapping for adaptation strategies to climate change based on green space projects. To achieve the established aims, we developed a methodology that uses multisource data: LiDAR data, high-resolution Landsat imagery, global climate model data from CMIP5 (IPPC Fifth Assessment), and data from meteorological stations. The proposed model can be a useful tool for validating the efficiency of design simulations of new green spaces for temperature mitigation. ARTICLE HISTORY

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THIS – Tool for Heat Island Simulation: A GIS extension model to calculate urban heat island intensity based on urban geometry

Cited by 64 publications

References 27 publications

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulation

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

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