Strategies for Development and Improvement of the Urban Fabric: A Vienna Case Study

Vuckovic, Milena; Maleki, Aida; Mahdavi, Ardeshir

doi:10.3390/cli6010007

Cited by 14 publications

(8 citation statements)

References 42 publications

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“…The results showed the daily air temperature differences in the 5-8 • C range between the hottest and the coolest zones; the results also showed the dependence of local overheating as a function of climatic, geometrical and thermo-physical variables. Similar analyses are carried out for the city of Wien in Reference [27]. In this case, the numerical analysis followed-up the monitoring to verify the effectiveness of the selected mitigation strategies.…”

Section: Microclimatic Assessment and Mitigationmentioning

confidence: 99%

Introducing Urban Overheating—Progress on Mitigation Science and Engineering Applications

Zinzi

Santamouris

2019

Climate

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Section: Microclimatic Assessment and Mitigationmentioning

confidence: 99%

Introducing Urban Overheating—Progress on Mitigation Science and Engineering Applications

Zinzi

Santamouris

2019

Climate

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“…The central role of green space and vegetation in mitigating the heat island effect has attracted widespread attention from scholars [ 114 ]. The recent research has focused on the mechanism and influence of green plants in the urban thermal environment [ 115 , 116 , 117 ], the simplification of the vegetation model and its coupling with CFD [ 114 , 118 ], and the relationship between the USTE and various vegetation parameters, such as the relationships between the intensity of urban heat islands and vegetation index values [ 119 , 120 ], vegetation abundance [ 121 ], and the standardized compactness index [ 99 ].…”

Section: Research On Mitigation Measures For Ustes Based On Cfd Simulationsmentioning

confidence: 99%

Simulation of the Urban Space Thermal Environment Based on Computational Fluid Dynamics: A Comprehensive Review

Huo

Chen

Geng

et al. 2021

Sensors

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Rapid urbanization has made urban space thermal environment (USTE) problems increasingly prominent. USTE research is important for improving urban ecological environment and building energy consumption. Most studies on USTE research progress have focused on meteorological observations and remote sensing methods, and few studies on USTE are based on computational fluid dynamics (CFD). During the past two decades, with the increasing applications of CFD in USTE research, comprehensively summarizing the phased results have become necessary tasks. This paper analyzes the current research status of CFD-based USTE simulation from six perspectives. First, we summarize the current research status of USTE simulation with CFD models that integrate ground observations and remote sensing technology. Second, we define and classify the spatial scope of CFD-based USTE simulations at different scales. Third, we systematically analyze the quantitative relationships among urban land type, the underlying surface structure, water bodies, green space and the corresponding changes in CFD-based USTE simulations. Fourth, we quantitatively analyze the impact of anthropogenic heat in CFD-based USTE simulations. Fifth, we summarize the corresponding USTE mitigation measures and methods based on the CFD simulation results. Finally, the outlooks and the existing problems in current research on CFD simulations of the USTE are analyzed.

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“…These stations are monitored by the Central Institution for Meteorology and Geodynamics (ZAMG 2018). A more detailed description of the data collection, quality control, and storage procedures of the meteorological observations can be found in Vuckovic et al (2017Vuckovic et al ( , 2018. Table 2 provides an overview of the weather stations and monitoring equipment with information related to the sensor's height above the ground [m].…”

Section: Meteorological Datamentioning

confidence: 99%

Urban weather modeling applications: A Vienna case study

2019

Self Cite

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Recently, the interest in urban weather modeling methods has been steadily increasing. This is in part due to the insight that thermal building performance simulations are typically undertaken with standardized weather files that provide a rather general perspective on urban weather conditions. This may lead toward errors in conclusions drawn from modeling efforts. In this context, present contribution reports on the potential of different approaches to generate location-dependent urban meteorological data. We compare the meteorological output generated with the Weather Research and Forecasting (WRF) model, Urban Weather Generator, and morphing approach. These methods were compared based on empirical data (air temperature, humidity, and wind speed) collected from two distinct urban locations in Vienna, Austria, over 5 study periods. Our results suggest significant temporal and spatial discrepancies in resulting modeling output. Results further suggest better predictive performance in the case of high-density urban areas and under warmer and extreme conditions in spring and summer periods, respectively.

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Strategies for Development and Improvement of the Urban Fabric: A Vienna Case Study

Cited by 14 publications

References 42 publications

Introducing Urban Overheating—Progress on Mitigation Science and Engineering Applications

Introducing Urban Overheating—Progress on Mitigation Science and Engineering Applications

Simulation of the Urban Space Thermal Environment Based on Computational Fluid Dynamics: A Comprehensive Review

Urban weather modeling applications: A Vienna case study

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