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

工作流程 持续性 建筑信息建模 建筑工程 绿色基础设施 建筑 土木工程 质量(理念) 环境资源管理 运输工程 工程类 环境规划 计算机科学 环境科学 地理 数据库 运营管理 生态学 哲学 考古 认识论 调度(生产过程) 生物
作者
A Rodríguez-Amigo,J F Fernández-Alvarado,Rafael Tormo-Molina
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:838: 155910-155910 被引量:1
标识
DOI:10.1016/j.scitotenv.2022.155910
摘要

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.
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