{"title":"Urban Fluid Mechanics, Resilience, and Sustainability","authors":"Catherine Gorlé","doi":"10.1146/annurev-fluid-100224-111114","DOIUrl":null,"url":null,"abstract":"This review first examines how urban wind flow impacts the sustainability and resilience of cities and identifies the three main challenges in predictive modeling of urban flows: the complexity of the flow physics, the variability and uncertainty in the flow conditions, and the diversity and multiscale nature of urban geometries. To review the complexity of the flow physics, the typical flow patterns observed in canonical urban flows are summarized, and related modeling challenges and opportunities in both wind tunnel experiments and simulations are highlighted. Next, opportunities to predict realistic urban flows by addressing the other challenges are explored through the lens of a modeling framework with uncertainty quantification. The important role of field measurements, supporting the more accurate characterization of uncertainties in the flow conditions, as well as enabling validation with real-world data, is emphasized. The review concludes with two specific examples that demonstrate how integrated use of field measurements and computational models can improve the understanding and modeling of real urban flows to ultimately support sustainable development goals for urban areas.","PeriodicalId":50754,"journal":{"name":"Annual Review of Fluid Mechanics","volume":"5 1","pages":""},"PeriodicalIF":30.2000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Fluid Mechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1146/annurev-fluid-100224-111114","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
This review first examines how urban wind flow impacts the sustainability and resilience of cities and identifies the three main challenges in predictive modeling of urban flows: the complexity of the flow physics, the variability and uncertainty in the flow conditions, and the diversity and multiscale nature of urban geometries. To review the complexity of the flow physics, the typical flow patterns observed in canonical urban flows are summarized, and related modeling challenges and opportunities in both wind tunnel experiments and simulations are highlighted. Next, opportunities to predict realistic urban flows by addressing the other challenges are explored through the lens of a modeling framework with uncertainty quantification. The important role of field measurements, supporting the more accurate characterization of uncertainties in the flow conditions, as well as enabling validation with real-world data, is emphasized. The review concludes with two specific examples that demonstrate how integrated use of field measurements and computational models can improve the understanding and modeling of real urban flows to ultimately support sustainable development goals for urban areas.
期刊介绍:
The Annual Review of Fluid Mechanics is a longstanding publication dating back to 1969 that explores noteworthy advancements in the field of fluid mechanics. Its comprehensive coverage includes various topics such as the historical and foundational aspects of fluid mechanics, non-newtonian fluids and rheology, both incompressible and compressible fluids, plasma flow, flow stability, multi-phase flows, heat and species transport, fluid flow control, combustion, turbulence, shock waves, and explosions.
Recently, an important development has occurred for this journal. It has transitioned from a gated access model to an open access platform through Annual Reviews' innovative Subscribe to Open program. Consequently, all articles published in the current volume are now freely accessible to the public under a Creative Commons Attribution (CC BY) license.
This new approach not only ensures broader dissemination of research in fluid mechanics but also fosters a more inclusive and collaborative scientific community.