{"title":"Impact of green infrastructure on PM10 in port-adjacent residential complexes: A finite volume method-based computational fluid dynamics study","authors":"","doi":"10.1016/j.scs.2024.105815","DOIUrl":null,"url":null,"abstract":"<div><p>This study examines the effects of PM<sub>10</sub> reduction by introducing green infrastructure (GI) in residential areas adjacent to ports, where significant pollutant emissions from ships are prevalent. Using finite volume method (FVM)-based computational fluid dynamics (CFD) simulations, we evaluated 30 scenarios based on various GI types and spacings and validated these simulations using observational data. The assessed GI types included trees and shrubs (hedges). Planting configurations were categorized into single (T for trees, H for hedges) and mixed (TH for both trees and hedges) plantings, with one or two rows and spacings of trees from 6 m to 14 m at 2 m intervals. We also considered both aerodynamic and depositional effects as mechanisms for PM<sub>10</sub> reduction by GI. Our results revealed the following: 1) Plant spacing significantly influenced PM<sub>10</sub> reduction, with both excessively narrow and wide spacings being suboptimal. (2) Trees proved to be more effective, whereas combining them with shrubs offers limited advantages. 3) Among the shrubs, the adsorption effect was more influential on PM<sub>10</sub> reduction than the aerodynamic effects. These insights are not limited to port regions but also offer foundational knowledge for enhancing urban air quality, setting the groundwork for subsequent studies.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724006395","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the effects of PM10 reduction by introducing green infrastructure (GI) in residential areas adjacent to ports, where significant pollutant emissions from ships are prevalent. Using finite volume method (FVM)-based computational fluid dynamics (CFD) simulations, we evaluated 30 scenarios based on various GI types and spacings and validated these simulations using observational data. The assessed GI types included trees and shrubs (hedges). Planting configurations were categorized into single (T for trees, H for hedges) and mixed (TH for both trees and hedges) plantings, with one or two rows and spacings of trees from 6 m to 14 m at 2 m intervals. We also considered both aerodynamic and depositional effects as mechanisms for PM10 reduction by GI. Our results revealed the following: 1) Plant spacing significantly influenced PM10 reduction, with both excessively narrow and wide spacings being suboptimal. (2) Trees proved to be more effective, whereas combining them with shrubs offers limited advantages. 3) Among the shrubs, the adsorption effect was more influential on PM10 reduction than the aerodynamic effects. These insights are not limited to port regions but also offer foundational knowledge for enhancing urban air quality, setting the groundwork for subsequent studies.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;