Case of study on a sustainability building: Environmental risk assessment related with allergenicity from air quality considering meteorological and urban green infrastructure data on BIM

Digitisation is gaining importance with 3D workflow for architecture-specific annotation of built heritage. The objective is to use the Building Information Modeling (BIM) methodology in order to carry out a study of alternatives of impact on environmental sustainability associated with the potential allergenicity with green infrastructure on a new housing, located in Mérida (SW Spain). It is intended to simulate the meteorology (direction and speed of the wind) in the study city with the compass rose for 18 years (2003-2020) to assess the meteorological pattern associated with the wind on the studied housing. 3 green infrastructure garden alternatives (considering 5 ornamental species of cypress trees) were designed to evaluate the potential impact of allergenicity on the housing. AIROT index was applied to project the results on the frontage of the housing. This index was developed in the field of large areas of urban environments. The calculation was carried out in the most exact way possible in specific sections of the frontage of the housing and automatically with tools associated with the BIM environment (such as Autodesk Revit, Dynamo, Enscape, Wrplot and Bim One) to the discipline of Architecture (such as Autodesk Autocad and Autodesk Flow Design). The obtained results were applied to evaluate 3 scenario designs, trying to minimize the potential exposure to urban green infrastructure (focus on cypress trees) in this current project, and offering a health reference guide in future projects, from the design phase considering appropriate measures and proposing recommendations.

Proposing a sustainable urban 3D model to minimize the potential risk associated with green infrastructure by applying engineering tools

The goal of this study is to estimate the potential risk of exposure to urban green infrastructure by calculating and improving of AIROT index, adding meteorological factors as wind direction and updating the index to be more accurate for smaller urban green areas. To achieve this objective, BIM methodology has been applied by creating a 3D BIM model from the reality capture of a street with LiDAR. The BIM model contains the parametric data needed to apply AIROT index and it allows to map results in a graphic environmental sustainability study. The importance of location of green infrastructure is one of main conclusions obtained in order to minimize aerobiological risks in future new buildings or even in maintenance tasks of urban green infrastructure. A valuable result obtained from the developed methodology are walk simulations in the 3D model with the aim to identify high risk of potential exposure of urban green infrastructure with allergenic interest for allergic patients in order to supply health itineraries of pedestrians in a proposal of Smart City.