Urban Climate最新文献

{"title":"Impact of an urban street canyon's greening configurations on its traffic-related particulate matter","authors":"Zhen Liu ,&nbsp;Zhaowen Qiu ,&nbsp;Na Yan ,&nbsp;Feihong Ren","doi":"10.1016/j.uclim.2025.102365","DOIUrl":"10.1016/j.uclim.2025.102365","url":null,"abstract":"<div><div>Roadside greening is gaining attention because it can mitigate street air pollution. To investigate the effects of greening configurations along bicycle lanes and sidewalks on exposure to traffic-related particulate matter (PM), we monitored in situ concentrations (PM10, PM2.5, PM1) in a shallow street canyon in Xi'an, China, and numerically simulated the people's exposure at common street greening scenarios with a microclimate model (ENVI-met). Field measurements showed that greenery in late winter had a higher PM removal effect than in late spring, but late spring's greenery had an overall negative effect on PM concentrations. Notably, greening is more effective at removing coarse particles (PM10) than fine particles (PM2.5, PM1). Simulation results revealed that when trees are planted at different locations on the roadway, the ranking of their PM-removal effect is sidewalk &gt; bicycle lane &gt; traffic lane; however, for planted shrubs, the ranking changed to bicycle lane &gt; traffic lane &gt; sidewalk. PM removal from simultaneous planting of greenery (shrubs, trees, tree-shrub mixes) on sidewalks and bicycle paths is not satisfactory. The greening configuration of “planting shrubs on bicycle lanes and trees on sidewalks” performed best at removing PM. These findings can provide a practical reference for optimizing street greening designs.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102365"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply and demand analysis of urban thermal environments regulation services from an accessibility perspective: A coupled thermal risk and green space cooling assessment model","authors":"Zeqi Wang,&nbsp;Yikai Liu,&nbsp;Tianyu Wang,&nbsp;Shuyang Tang,&nbsp;Xuefei Wu","doi":"10.1016/j.uclim.2025.102356","DOIUrl":"10.1016/j.uclim.2025.102356","url":null,"abstract":"<div><div>Urban Green Spaces (UGS) play a pivotal role in regulating the urban thermal environment, but the balance between the supply and demand for hot and cold spaces is often mismatched, leaving high-risk areas with inadequate cooling services. Oreover, due to population mobility and the complexity of spatial structures, the radiative effects between hot and cold spaces are often insufficiently considered. Therefore, this study proposed an accessibility-based framework for thermal environment assessment, which integrates thermal risks with the cooling benefits of green spaces, offering a comprehensive evaluation of urban heat conditions. Taking the central urban area of Fuzhou as a case study, the results demonstrate that Fuzhou's thermal environment risks are significant and worsening, with areas at level 4 and level 5 risk constituting 36.42 % of the city. The exposure to thermal risks has also increased, with high-exposure risk areas in 2023 rising by 4.67 % compared to 2008. In addition, the cooling service capacity has decreased, but overall cooling service accessibility is largely unaffected. In terms of the interaction between heat exposure and cooling accessibility, there is a significant spatial development inequality within the central city. This study provides a scientific basis for improving the urban thermal environment by identifying these problem areas and proposing appropriate spatial development strategies.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102356"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"End-to-end deep learning for pollutant prediction using street view images","authors":"Lijie Wu ,&nbsp;Xiansheng Liu ,&nbsp;Xun Zhang ,&nbsp;Rui Wang ,&nbsp;Zhihao Guo","doi":"10.1016/j.uclim.2025.102368","DOIUrl":"10.1016/j.uclim.2025.102368","url":null,"abstract":"<div><div>Urban outdoor air pollution poses significant threats to public health, underscoring the need for accurate pollutant concentration estimation. This study presents an innovative end-to-end pollutant prediction model (E2EPPM) that directly predicts pollutant levels from street-level imagery. To the best of our knowledge, the model is the first to achieve pollutant concentration estimation at the street scale solely based on street-view images collected through mobile monitoring. The framework comprises three stages: feature extraction from image sequences, temporal feature extraction across sequences, and pollutant concentration fitting based on the Kolmogorov-Arnold theorem. E2EPPM was evaluated using datasets and street-view images from Augsburg, Beijing, and Hotan, focusing on particulate matter (PM_1.0, PM_2.5, PM₁₀, particle number concentration (PNC), lung-deposited surface area (LDSA), ultraviolet PM (UVPM), black carbon (BC), and brown carbon (BrC)) and four gaseous pollutants (CO, NH₃, SO₂, O₃). The model achieved over 90 % explanatory power for all pollutants. Ablation experiments demonstrated its effectiveness, while SHAP analysis identified vegetation, buildings, sky, and vehicles as the most significant contributors to pollutant levels. E2EPPM offers a robust approach for urban air quality assessment, providing actionable insights for urban planning and pollution exposure evaluation.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102368"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating urban heat island effect: Optimization metrics for road pavement based on entransy dissipation","authors":"Yu Zhao ,&nbsp;Xiaoming Liu ,&nbsp;Xihe Zhang ,&nbsp;Yi Huang","doi":"10.1016/j.uclim.2025.102355","DOIUrl":"10.1016/j.uclim.2025.102355","url":null,"abstract":"<div><div>Mitigating urban heat island (UHI) effect caused by high temperature of urban road, optimizing heat transfer design is essential for urban sustainability. Current design methods rely on experimental designs, which often depend on single metrics such as temperature and heat dissipation, neglecting their varying impacts on heat transfer performance. In this study, through the application of topology optimization technology, the pavements were optimized by temperature and heat dissipation, respectively. Based on the entransy dissipation theory, the variations in convection, surface radiation and heat conduction performance of optimized pavements were analyzed. The relationship between entransy dissipation, temperature and heat dissipation was discussed, and the optimization metrics of entransy dissipation were determined. The results indicated that pavement structure differed when temperature and heat dissipation were used as metrics. The heat conduction entransy dissipation of the upper layer (G_condup) of the pavement designed with temperature decreased, while the heat conduction entransy dissipation of the middle layer (G_condmid) and lower layer (G_condlow) increased. Conversely, the pavement designed with heat dissipation exhibited the opposite trend. A strong correlation was found between the temperature, heat dissipation and the entransy dissipation, with surface radiation entransy dissipation (G_radia) and G_condup having the most significant influence. Consequently, these were selected as the design metrics. The optimized pavement designed with entransy dissipation exhibited good cooling and heat dissipation performance.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102355"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emission offsets by albedo manipulations strategies based on bright materials and greening in urban areas assessed by hyperspectral remote sensing","authors":"F. Carotenuto,&nbsp;L. Brilli ,&nbsp;G. De Luca,&nbsp;M. Nardino,&nbsp;L. Cremonini,&nbsp;L. Genesio,&nbsp;J.L. Pancorbo,&nbsp;B. Gioli","doi":"10.1016/j.uclim.2025.102357","DOIUrl":"10.1016/j.uclim.2025.102357","url":null,"abstract":"<div><div>Climate neutral cities require climate mitigation strategies such as albedo manipulation approaches. This could be a low-cost approach able to reach short term results while working on reducing emissions on the long term. Currently, only few studies were carried out to investigate the potentiality of albedo changes to effectively reduce radiative forcing (RF) at city scale. This study makes use of high-resolution hyperspectral remote sensing (RS) to simulate three scenarios of albedo manipulation in the city of Prato (Italy). The scenarios are “W” (white, where roofing materials are substituted by white painted concrete), “G” (green, simulating the albedo of green roofs) and “B” (bright, where the dark asphalt of the roads is substituted by brighter paving materials), also considering restrictions due to cultural heritage constraints. Albedo manipulation is then translated into equivalent CO₂ savings/emissions via a global warming potential (GWP) model and these CO₂ amounts are compared with the city's inventorial emissions. Results show that the W scenario can offset up to 10.3 % of the whole city's emissions. This study suggests that while RF-based interventions on urban materials are unable to totally compensate direct CO_2eq emissions, they can still contribute especially when coupled with decarbonization and urban emission reduction strategies.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102357"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of urban green space on human cognition: A systematic search and scoping review","authors":"Shengjie Liu ,&nbsp;Hung Chak Ho ,&nbsp;John P. Wilson","doi":"10.1016/j.uclim.2025.102372","DOIUrl":"10.1016/j.uclim.2025.102372","url":null,"abstract":"<div><div>Urban green space is associated with cognitive functions, but the underlying mechanisms remain unclear due to limited research. Given the diverse forms of green space, which lead to distinct health effects, it is essential to differentiate between types of green space. In this review, we propose a novel conceptual framework categorizing three primary effects of green space on cognitive function: functional, spatial, and perceptual. We then conduct a scoping review using the Web of Science, identifying 37 relevant studies. Among them, 20 studies employ modeling to explore potential mechanisms, while 17 studies infer pathways indirectly. Most studies examine reduced air pollution and increased physical activity as mediating factors, with stronger support for air pollution reduction as a protective mediator. However, evidence on physical activities as a mediator remains mixed. Some studies suggest that merely perceiving green space enhances brain activity, and exposure to nature is linked to improved test performance. Other potential pathways, such as heat reduction and social interaction, remain underexplored. We highlight the limitations of current methods in distinguishing various forms of green space and emphasize the need for advanced methods, such as local climate zones and street view imagery, for more precise assessment.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102372"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How is adaptation intention shaped in urban Pakistan? A multigroup gender analysis","authors":"Sohaib Aqib ,&nbsp;Sidra Khalid ,&nbsp;Mehdi Siraj ,&nbsp;Huseyin Ozdeser","doi":"10.1016/j.uclim.2025.102370","DOIUrl":"10.1016/j.uclim.2025.102370","url":null,"abstract":"<div><div>Men and women's choice and ability to respond to climate change is shaped by multiple, intersecting factors, including gender roles, power dynamics, socio-economic variables, psychological processes, and systemic inequalities. This study is the first to examine gendered differences in climate change adaptation intentions in urban Pakistan, using survey data from 552 men and women in two urban towns. Using multigroup structural equation modeling and drawing on the analytical frameworks of Protection Motivation Theory and intersectionality, we explored different factors that influence individual adaptation decisions. Findings reveal distinct gender patterns: men's adaptation intentions are strongly influenced by a belief in climate change, perceptions of climate change impacts, and belief in governmental support, whereas women are less influenced by these factors and show negative responses to perceived government support. Furthermore, maladaptive beliefs hinder men's adaptation intentions, with minimal effect on women. Age and education positively correlate with men's adaptation intentions but not with women's. Gendered adaptation intentions are shaped by socio-economic factors, patriarchal norms, resource constraints, and psychological factors<strong>.</strong> Climate adaptation programs and strategies should not only engage women but also strategically address the broader power dynamics and systemic inequities that hinder adaptive capacities of marginalized groups. Recommendations include developing gender-responsive and transformative policies and programs, enhancing institutional trust through accountability mechanisms, promoting community-driven initiatives, and investing in women's everyday adaptation strategies. This approach is key to building stronger resilience and enabling inclusive, impactful climate solutions in Pakistan's rapidly growing urban centers.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102370"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering communities: Advancements in air quality monitoring and citizen engagement","authors":"Hélder Relvas ,&nbsp;Diogo Lopes ,&nbsp;Jan Mateu Armengol","doi":"10.1016/j.uclim.2025.102344","DOIUrl":"10.1016/j.uclim.2025.102344","url":null,"abstract":"<div><div>In many places across the world, air pollution is a serious problem. Citizen-collaborative air quality monitoring and forecasting systems are gaining popularity as a potential solution. Community platforms with online air quality maps made by individuals offer a way to include people in environmental monitoring, increase public awareness of air pollution exposure, and support the growth of smart cities.</div><div>The notion of smart cities places significant emphasis on the utility of technology in enhancing urban planning and management, as well as data-driven decision-making. Systems for citizen collaborative air quality monitoring and forecasting support this idea by giving residents of the city a means of gathering and evaluating data on air quality in real time.</div><div>The article explores the role of social innovation techniques, such as co-creation and participatory sensing, in engaging citizens and raising awareness. Furthermore, these systems can contribute to the creation of smart cities that are more long-term sustainable and responsive to the demands of their residents by involving citizens and making use of technology.</div><div>In conclusion, the combination of tools and social innovation significantly advances the concept of smart collaboration between citizens, researchers, and local authorities, fostering a stronger commitment to addressing air quality, and climate change challenges within smart communities.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102344"},"PeriodicalIF":6.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the spatial and temporal resolution of satellite-derived land surface temperature in urban environments: A systematic literature review","authors":"Robert Andriambololonaharisoamalala ,&nbsp;Petra Helmholz ,&nbsp;Ivana Ivánová ,&nbsp;Eriita Jones ,&nbsp;Susannah Soon ,&nbsp;Dimitri Bulatov ,&nbsp;Yongze Song","doi":"10.1016/j.uclim.2025.102345","DOIUrl":"10.1016/j.uclim.2025.102345","url":null,"abstract":"<div><div>The urban heat island effect significantly challenges human health, energy consumption, and overall urban living conditions. Accurate land surface temperature (LST) measurement at fine spatial and temporal scales is essential to understand urban thermal dynamics and develop effective mitigation strategies. However, current satellite sensors offer a trade-off between spatial and temporal resolutions. This review critically examines recent techniques for enhancing the resolutions of satellite-derived LST, focusing on urban applications. A comprehensive search was conducted with Scopus and Web of Science databases using keywords related to LST resolution enhancement. After applying criteria to remove irrelevant and duplicate studies, 60 papers were selected for in-depth analysis. Our findings indicate that LST data from polar and geostationary orbit satellite thermal infrared (TIR) sensors are mainly used for resolution enhancements. The identified enhancement methods fall into three categories: spatial, temporal, and combined spatial and temporal approaches. Existing techniques achieve spatial and temporal resolutions, respectively, 10 m and 15 min. High-resolution LST data are valuable for urban planners and policymakers to assess public health risks, energy use, insurance considerations, and emergency response planning. This review provides insights into current LST resolution enhancement methods and their practical implications in addressing urban heat challenges.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102345"},"PeriodicalIF":6.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How can street interface morphology effect pedestrian thermal comfort: A case study of the old town of Changsha, China","authors":"Jian Zheng ,&nbsp;Zixun Ou ,&nbsp;Yanfen Xiang ,&nbsp;Jiasheng Li ,&nbsp;Bohong Zheng","doi":"10.1016/j.uclim.2025.102341","DOIUrl":"10.1016/j.uclim.2025.102341","url":null,"abstract":"<div><div>The challenge of the urban thermal environment stands as a pivotal obstacle in enhancing urban habitation, with its most conspicuous manifestation occurring during the summer months. The urban configuration intertwines with the thermal milieu, and its meticulous refinement is critical to ameliorating thermal conditions. Notably, streets, constituting two-thirds of the urban expanse, assume paramount importance. Delving into the nexus between street interface morphology and the thermal environment carries practical implications. The current corpus of street form research exhibits a conspicuous oversight in attending to the street interface, with a noticeable need for more exploration into its symbiosis with the thermal ambience. This study, therefore, directs its focus toward the nuanced examination of street interface morphology. Employing the method of constructing morphological models, we utilize ENVI-met software to simulate and analyze the thermal environment. The Universal Thermal Climate Index (UTCI) serves as the yardstick for evaluating thermal conditions, elucidating the influence of street interface morphology on the summer thermal environment of streets. The findings unveil a discernible correlation: for east-west streets, diminished interface density and concavity, coupled with an augmented street aspect ratio and interface height dislocation, yield superior street pedestrian thermal comfort. The interface height ratio index emerges as a particularly noteworthy factor, with the nadir of thermal comfort occurring at an interface height ratio1. Moreover, streets boasting elevated interfaces on the north side exhibit enhanced thermal comfort within similar interface height ratios. In the case of north-south streets, heightened interface density and street aspect ratio, juxtaposed with diminished interface concavity and height dislocation, parallelly yield enhanced thermal comfort. Optimal thermal comfort materializes when the interface height ratio equals 1. Moreover, streets featuring elevated interfaces on the east side manifest superior thermal comfort within equivalent interface height ratios. The culminating phase of this inquiry entails the optimization simulation of select streets within the ancient precincts of Changsha. The outcomes underscore a discernible enhancement in the thermal comfort of both east-west and north-south streets post-optimization, affirming the efficacy of street interface shape transformations in efficaciously augmenting the summer thermal environment of urban streets.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102341"},"PeriodicalIF":6.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}