Showing papers by "Marina Neophytou published in 2019"
TL;DR: In this study, CFD simulations of urban microclimate are performed for a dense highly heterogeneous district in Nicosia, Cyprus and validated using a high-resolution dataset of on-site measurements of air temperature, wind speed and surface temperature conducted for the same district area.
98 citations
International Institute for Applied Systems Analysis1, University of Cyprus2, Arizona State University3, United Nations4, University of Hong Kong5, The Chinese University of Hong Kong6, Hong Kong University of Science and Technology7, Katholieke Universiteit Leuven8, University of Toronto9, Purdue University10, University of São Paulo11, University of Victoria12, University of Hamburg13, ParisTech14, University of Mainz15, University of Gothenburg16, University of Reading17, City University of New York18, San Jose State University19, National Cheng Kung University20, University of North Carolina at Chapel Hill21, Ben-Gurion University of the Negev22, Monash University23, Banaras Hindu University24
TL;DR: The Digital Synthetic City (DSC) tool as discussed by the authors uses crowdsourcing methods and sampling within city Testbeds from around the world to generate UCPs at any desired scale meeting the fit-forpurpose goal of WUDAPT.
Abstract: The WUDAPT (World Urban Database and Access Portal Tools project goal is to capture consistent information on urban form and function for cities worldwide that can support urban weather, climate, hydrology and air quality modeling. These data are provided as urban canopy parameters (UCPs) as used by weather, climate and air quality models to simulate the effects of urban surfaces on the overlying atmosphere. Information is stored with different levels of detail (LOD). With higher LOD greater spatial precision is provided. At the lowest LOD, Local Climate Zones (LCZ) with nominal UCP ranges is provided (order 100 m or more). To describe the spatial heterogeneity present in cities with great specificity at different urban scales we introduce the Digital Synthetic City (DSC) tool to generate UCPs at any desired scale meeting the fit-for-purpose goal of WUDAPT. 3D building and road elements of entire city landscapes are simulated based on readily available data. Comparisons with real-world urban data are very encouraging. It is customized (C-DSC) to incorporate each city's unique building morphologies based on unique types, variations and spatial distribution of building typologies, architecture features, construction materials and distribution of green and pervious surfaces. The C-DSC uses crowdsourcing methods and sampling within city Testbeds from around the world. UCP data can be computed from synthetic images at selected grid sizes and stored such that the coded string provides UCP values for individual grid cells.
49 citations
TL;DR: This paper investigates the link between urban form characteristics – such as the emerging urban dynamic parameter of the city breathability along with the building height and building packing density – with the associated urban energy demands for heating and cooling and unveils the intensity of this link.
12 citations
TL;DR: A systematic approach that translates geographically-based information data, into complete versatile gridded numerical information for use in comparative data analyses and atmospheric or other advanced numerical modelling studies is proposed.
Abstract: In this paper, we propose a systematic approach that translates geographically-based information data, into complete versatile gridded numerical information for use in comparative data analyses and atmospheric or other advanced numerical modelling studies. Intended to provide substantial added value to the wealth of data as currently collected and archived under the international initiative World-Urban-Database and Access-Portal-Tools (WUDAPT), this methodology is extensible to situations involving observed and or modelled data of different resolutions to a comparable level of resolution as a framework for deriving associative relations between areas of strong interest and attributes of topical importance. We demonstrate this methodology and approach utilizing morphological form parameters data at city block scale and their associative relationship to CO2 emissions data at borough scales. Specifically, the form-based morphology was a derivative of London's Local Climate Zones (LCZs) map information built and used in conjunction with the Multi-Resolution-Analysis (MRA) of Urban Canopy Parameters (UCPs) data.
9 citations
Purdue University1, University College Dublin2, International Institute for Applied Systems Analysis3, University of Cyprus4, University of Hong Kong5, The Chinese University of Hong Kong6, Hong Kong University of Science and Technology7, Katholieke Universiteit Leuven8, University of Toronto9, University of São Paulo10, University of Victoria11, University of Hamburg12, ParisTech13, University of Mainz14, University of Gothenburg15, University of Reading16, University Corporation for Atmospheric Research17, City University of New York18, San Jose State University19, National Cheng Kung University20, University of North Carolina at Chapel Hill21, Ben-Gurion University of the Negev22, Monash University23, Banaras Hindu University24
2 citations