模拟规划策略对城市更新区城市热岛和空气污染缓解的影响

IF 2.8 3区 地球科学 Q1 GEOGRAPHY
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引用次数: 0

摘要

摘要 城市化导致城市热岛效应日益严重,在多种因素的共同作用下,城市地区的空气质量也随之恶化。为了减少这些影响,一些研究根据不同的规划和设计原则提出了一些策略。虽然有些策略被认为对缓解空气污染或城市热岛有帮助,但过去的研究很少讨论同时产生的影响。因此,本研究试图利用基于情景的计算流体动力学(CFD)建模方法,建立一个能够评估不同缓解方法对城市热岛和空气污染的相对效益的框架。研究对不同策略的六种方案进行了综合评估和比较。结果发现,在降低研究区域热岛温度和空气污染物浓度方面,铺装材料和屋顶绿化比建筑体量和水体变化的效果更显著。此外,对这两种影响的缓解效果也存在差异,这表明在实施策略之前应始终进行仔细的比较分析。所提出的方法对于制定城市地区热岛效应和空气污染的应对策略非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating the effects of planning strategies on urban heat island and air pollution mitigation in an urban renewal area

Abstract

Urbanization has caused increasingly severe heat island effect in cites, which also has worsened air quality in the urban areas due to a combination of factors. To reduce the impacts, several studies have proposed strategies based on different planning and design principles. Although some strategies were found to be useful for mitigating air pollution or urban heat island, the simultaneous effects were rarely discussed in the past studies. Therefore, this research tries to develop a framework that is able to evaluate the relative benefits of different mitigation methods on both urban heat island and air pollution, using a scenario-based computational fluid dynamics (CFD) modeling method. Six scenarios of different strategies were comprehensively evaluated and compared. It is found that pavement materials and rooftop greening showed more significant effects on reducing the heat island temperature and air pollutant concentration than that of changes in building volumes and water bodies in the study area. In addition, there are differences in mitigation effects on the two impacts, suggesting that careful comparative analysis should always be done before implementing the strategies. The proposed method could be very useful in the process of developing coping strategies for both heat island effect and air pollution in the urban areas.

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来源期刊
CiteScore
5.40
自引率
6.90%
发文量
33
期刊介绍: The Journal of Geographical Systems (JGS) is an interdisciplinary peer-reviewed academic journal that aims to encourage and promote high-quality scholarship on new theoretical or empirical results, models and methods in the social sciences. It solicits original papers with a spatial dimension that can be of interest to social scientists. Coverage includes regional science, economic geography, spatial economics, regional and urban economics, GIScience and GeoComputation, big data and machine learning. Spatial analysis, spatial econometrics and statistics are strongly represented. One of the distinctive features of the journal is its concern for the interface between modeling, statistical techniques and spatial issues in a wide spectrum of related fields. An important goal of the journal is to encourage a spatial perspective in the social sciences that emphasizes geographical space as a relevant dimension to our understanding of socio-economic phenomena. Contributions should be of high-quality, be technically well-crafted, make a substantial contribution to the subject and contain a spatial dimension. The journal also aims to publish, review and survey articles that make recent theoretical and methodological developments more readily accessible to the audience of the journal. All papers of this journal have undergone rigorous double-blind peer-review, based on initial editor screening and with at least two peer reviewers. Officially cited as J Geogr Syst
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