Zhongzhe Shen, Zhi Chen, Yan Long, Shuo Zhang, Mintai Kim
{"title":"Quantifying the impacts of green roof design factors on microclimate regulation: A case study in Washington, D.C.","authors":"Zhongzhe Shen, Zhi Chen, Yan Long, Shuo Zhang, Mintai Kim","doi":"10.54254/2755-2721/61/20240952","DOIUrl":null,"url":null,"abstract":"This study explores and quantifies the impacts of green roofs (GR) design factors on microclimate regulation. Against rapid urbanization and intensifying climate changes, green infrastructure has received increasing attention due to its contribution to dealing with the urban heat islands effect (UHIE) and increasing urban sustainability. GR is one example of green infrastructure and is widely used in cities. However, its microclimate regulation benefits have not been thoroughly explored and require more exploration. There are insufficient studies on quantifying GR design factors impacts on microclimate regulation. Meanwhile, little research has explored the impact of regulating microclimate when accessibility is considered as a design factor. Using a GR in Washington, D.C., as a case study, this study models 14 roof scenarios with several common GR design factors, generates their simulated microclimate patterns, and quantifies each design factors impact based on statistical analyses. Results present quantitative data on how studied design factors change microclimate patterns and find that accessibility does affect some microclimate aspects but only to a limited rate. This study provides suggestions and insights to optimize GR design guidelines. Overall, this study contributes to the refinement of GR research, promotes better GR design, and responds to urbanization and climate issues.","PeriodicalId":350976,"journal":{"name":"Applied and Computational Engineering","volume":" 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied and Computational Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54254/2755-2721/61/20240952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores and quantifies the impacts of green roofs (GR) design factors on microclimate regulation. Against rapid urbanization and intensifying climate changes, green infrastructure has received increasing attention due to its contribution to dealing with the urban heat islands effect (UHIE) and increasing urban sustainability. GR is one example of green infrastructure and is widely used in cities. However, its microclimate regulation benefits have not been thoroughly explored and require more exploration. There are insufficient studies on quantifying GR design factors impacts on microclimate regulation. Meanwhile, little research has explored the impact of regulating microclimate when accessibility is considered as a design factor. Using a GR in Washington, D.C., as a case study, this study models 14 roof scenarios with several common GR design factors, generates their simulated microclimate patterns, and quantifies each design factors impact based on statistical analyses. Results present quantitative data on how studied design factors change microclimate patterns and find that accessibility does affect some microclimate aspects but only to a limited rate. This study provides suggestions and insights to optimize GR design guidelines. Overall, this study contributes to the refinement of GR research, promotes better GR design, and responds to urbanization and climate issues.
本研究探讨并量化了绿色屋顶(GR)设计因素对微气候调节的影响。在快速城市化和气候变化加剧的背景下,绿色基础设施因其在应对城市热岛效应(UHIE)和提高城市可持续性方面的贡献而受到越来越多的关注。城市绿化是绿色基础设施的一个例子,在城市中得到广泛应用。然而,其微气候调节效益尚未得到深入探讨,需要更多的探索。目前还没有足够的研究来量化 GR 设计因素对微气候调节的影响。同时,很少有研究探讨将可达性作为设计因素时对微气候调节的影响。本研究以华盛顿特区的一个温室为案例,利用几种常见的温室设计因素对 14 种屋顶方案进行建模,生成模拟的微气候模式,并根据统计分析对每种设计因素的影响进行量化。研究结果提供了所研究的设计因素如何改变微气候模式的量化数据,并发现可达性确实会影响某些微气候方面,但影响程度有限。本研究为优化 GR 设计指南提供了建议和见解。总之,本研究有助于完善全球资源评估研究,促进更好的全球资源评估设计,应对城市化和气候问题。