Urban Climate最新文献

Urban heat island and the risk of schizophrenia spectrum disorders in middle-aged and older adults 城市热岛与中老年人精神分裂症谱系障碍的风险

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-01 DOI: 10.1016/j.uclim.2025.102435

Lefei Han , Yujia Bao , Jiawei Gu , Yongxuan Li , Chen Shen , Shengzhi Sun , Jinjun Ran

{"title":"Urban heat island and the risk of schizophrenia spectrum disorders in middle-aged and older adults","authors":"Lefei Han , Yujia Bao , Jiawei Gu , Yongxuan Li , Chen Shen , Shengzhi Sun , Jinjun Ran","doi":"10.1016/j.uclim.2025.102435","DOIUrl":"10.1016/j.uclim.2025.102435","url":null,"abstract":"<div><div>Rapid urbanization and climate crisis amplified the adverse effects of urban heat, while it remained unclear about the long-term impacts of urban heat island (UHI) on mental disorders, especially schizophrenia spectrum disorders (SSD). This study included 393,507 participants from the UK Biobank to examine the impact of long-term exposure to UHI on the incidence risk of SSD and changes of brain structures. UHI exposure were quantified as surface UHI intensity and normalized land surface temperature from satellite data. Cox proportional hazard models and multiple linear regression models were used to examine associations of UHI effects with SSD and changes of brain structures. During a median follow-up of 13.8 years, there were 1112 (0.3 %) participants diagnosed with SSD and 367 (0.1 %) with schizophrenia. Every standard deviation increased surface UHI intensity was associated with a 17 % (HR, 1.17; [95 % CI, 1.07–1.28]) excess risk of SSD and a 26 % excess risk of schizophrenia (HR, 1.26; [95 % CI, 1.08–1.46]). These effects were more pronounced in individuals with a high genetic risk of schizophrenia and those aged <60 years. UHI exposure was also associated with brain macrostructure and microstructure, particularly in the frontal and temporal lobes, as well as white matter tracts. In this cohort study of middle-aged and older adults, UHI exposure was identified as a risk factor for the onset of SSD and schizophrenia. These findings highlight the need for implementing initiatives of UHI mitigation and heat resilience to improve mental health and sustainable development in urban communities worldwide.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102435"},"PeriodicalIF":6.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891133","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}

引用次数: 0

Characterising the Urban Heat Island in a low-rise indigenous city using remote sensing 基于遥感的低层城市热岛特征分析

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-30 DOI: 10.1016/j.uclim.2025.102433

Muhammad Usman , Janet E. Nichol , Ayman M. Abdallah , Muhammad Bilal

{"title":"Characterising the Urban Heat Island in a low-rise indigenous city using remote sensing","authors":"Muhammad Usman , Janet E. Nichol , Ayman M. Abdallah , Muhammad Bilal","doi":"10.1016/j.uclim.2025.102433","DOIUrl":"10.1016/j.uclim.2025.102433","url":null,"abstract":"<div><div>The study evaluates urban temperatures in the low-rise, semi-arid city of Kano, Nigeria. Massive urban growth over four decades raises concern about impacts of urbanisation on households, given more frequent heat waves and poor access to electricity supply. MODIS Land Surface Temperatures (<em>LST</em>)s are examined to characterise potential Urban Heat Island (UHI) effects, and changes in urban temperatures over two decades. As the study demonstrates strong relationships between satellite <em>LST</em> and air temperatures, <em>LST</em> is used to evaluate the effects of urbanisation on local climate. Over the 2-decade study, daily maximum air temperatures have risen by at least 1.5 °C in urban areas, compared to 0.8 °C in rural areas. Annual nighttime <em>LST</em> over much of the urban area has increased by up to 3.2 °C at 10:30 pm and summer shows an increase of up to 3.6 °C. Greater temperature increases for urban than rural areas, and for nighttime than daytime, are attributed to UHI effects. The observed summer daytime Surface Urban Cool Island (SUCI) is surprising, as daytime SUCIs elsewhere are attributed to either being high rise or well vegetated, which Kano is not. Furthermore, air temperatures from local climate stations indicate a summer daytime UHI approximating 9 °C. The disparity may be due to use of galvanised metal roofing, which has lower emissivity than values in satellite <em>LST</em> calibrations. The observed summer nighttime Surface Urban Heat Island Intensity (SUHII) averaging 6.6 °C may be an underestimate, as real surface temperatures would be higher than image calibrated values.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102433"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886130","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}

引用次数: 0

Climate change adaptation in cities: Enhancement of pedestrian thermal comfort using afforestation and greening buildings 城市气候变化适应：利用绿化和绿化建筑提高行人热舒适度

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-30 DOI: 10.1016/j.uclim.2025.102421

Rafeef Atawneh , Shireen Alqadi

{"title":"Climate change adaptation in cities: Enhancement of pedestrian thermal comfort using afforestation and greening buildings","authors":"Rafeef Atawneh , Shireen Alqadi","doi":"10.1016/j.uclim.2025.102421","DOIUrl":"10.1016/j.uclim.2025.102421","url":null,"abstract":"<div><div>Climate change significantly impacts the outdoor urban environment, particularly streets, by intensifying the Urban Heat Island effect, leading to higher surface temperatures and reduced thermal comfort. Prolonged heat accelerates the deterioration of pavements and street furniture, increasing maintenance costs and compromising urban resilience. In addition to enhancing accessibility, streets play a significant role as spaces for social and economic activities. To support these functions, street designs must foster comfortable and engaging environments. With growing interest in sustainable urban design, the concept of outdoor thermal comfort is integral to street planning. This paper examines the impact of greening building facades and roofs, as well as increasing afforestation, on pedestrian thermal comfort using simulation during extreme weather conditions (hottest periods). A digital model of Ein Sarah Street in Hebron, West Bank, was created in Envi-met software, with each strategy applied separately to assess its effectiveness. A survey was conducted to validate the model, aligning simulated comfort levels with user experiences. Results indicate that afforestation reduce temperature by approximately 5.3 degrees, decrease Mean Radiant Temperature (MRT) by 1.4 degrees, and lower Physiological Equivalent Temperature (PET) by 0.9 degree. Increasing vegetation cover by 50 % reduces temperature by 5.3 degrees, MRT by 1.4 degrees, and PET by 0.9 degrees. This study uniquely integrates simulation with survey-based validation to evaluate the impact of greening strategies on outdoor thermal comfort in urban streets. By offering quantifiable insights into the cooling effects of green facades, green roofs, and enhanced vegetation in real-world contexts, it presents a practical approach to sustainable street design. This validation method enhances the model's reliability and applicability, providing urban planners with a valuable tool to improve pedestrian comfort and support climate change adaptation.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102421"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891050","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}

引用次数: 0

Assessing the impact of land use land cover change and urbanization on urban heat island through remote sensing and geospatial techniques in Jhansi, India (2001−2021) 基于遥感和地理空间技术评估印度Jhansi土地利用、土地覆盖变化和城市化对城市热岛的影响（2001 - 2021）

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-30 DOI: 10.1016/j.uclim.2025.102432

Rubika Singh, Neetu Kapoor

{"title":"Assessing the impact of land use land cover change and urbanization on urban heat island through remote sensing and geospatial techniques in Jhansi, India (2001−2021)","authors":"Rubika Singh, Neetu Kapoor","doi":"10.1016/j.uclim.2025.102432","DOIUrl":"10.1016/j.uclim.2025.102432","url":null,"abstract":"<div><div>Urbanization significantly influences the local climate of a city, giving rise to the Urban Heat Island (UHI) phenomenon and affecting the quality of human life. The UHI is characterized by elevated temperatures in urban areas, a condition exacerbated by the impacts of global warming and urban growth compared to the outlying regions, posing a significant urban challenge resulting from human activities. The present study focuses on Jhansi, with the aim of analysing the formation of UHI in the region. The research employs a multidimensional approach, which includes analysing the dynamic changes in land use land cover (LULC) and fluctuations in urban surface temperature in Jhansi as well correlation analysis is determined using remote sensing and meteorological data through geographic information system (GIS) analysis. The LULC was found to have an impact on the land surface temperature's (LST) spatial distribution. The built-up area was expanded from 7 % which is 25.13 km<sup>2</sup> in 2001 to 26 % which is 87.47 km<sup>2</sup> in 2021. Furthermore, because of urbanization, decreased greenery, conversion of natural surfaces to impervious structures and city growth, the LST values in the central region of the city in 2021 were higher than in 2001 and 2011. Moreover, crops and vegetation were found to have the lowest LST, followed by waterbodies. The findings also revealed that there was a 1.51 overall increase in UHI intensity from 2001 to 2021. These findings promote sustainable development by assisting policymakers and urban planners in developing efficient mitigation and adaptation plans that lessen the UHI effects. The study provides an in-depth understanding of the origins and growth of UHI within the specific context of Jhansi, providing new insight into the complex dynamics of the UHI issues. The resilience and sustainability of urban areas can be enhanced by employing this information as a foundation for thoughtful decision-making.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102432"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886131","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}

引用次数: 0

Increasing importance of regional emission controls for further reduction of PM2.5 in Beijing 区域排放控制对进一步降低北京PM2.5的重要性日益凸显

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-30 DOI: 10.1016/j.uclim.2025.102437

Lingkai Dong , Weili Lin , Zhiqiang Ma , Wei Wang , Lei Kong , Xiaobin Xu , Oliver Wild , Yuanlin Wang , Baozhu Ge , Zifa Wang

{"title":"Increasing importance of regional emission controls for further reduction of PM2.5 in Beijing","authors":"Lingkai Dong , Weili Lin , Zhiqiang Ma , Wei Wang , Lei Kong , Xiaobin Xu , Oliver Wild , Yuanlin Wang , Baozhu Ge , Zifa Wang","doi":"10.1016/j.uclim.2025.102437","DOIUrl":"10.1016/j.uclim.2025.102437","url":null,"abstract":"<div><div>Over the past decade, Beijing has achieved positive results in controlling fine particulate matter (PM<sub>2.5</sub>) pollution. However, it remains a challenge to further reduce PM<sub>2.5</sub> concentrations to a lower level, such as the World Health Organization's air quality guidelines (5 μg/m<sup>3</sup>). In this study, PM<sub>2.5</sub> concentrations and emission reductions over eight years covering two policy periods of air pollution abatement (2013–2017 and 2018–2020) were compared to investigate the efficiency of emission controls in Beijing and surrounding areas. An approach based on observational data, particularly including data from a regional atmospheric background station, was employed to calculate the relative contributions of the local emissions and regional transport. Results show that local emission reductions play a more important role in decreasing PM<sub>2.5</sub> in Beijing. However, following a substantial decrease in local emissions over the first period, the relative contribution of regionally transported PM<sub>2.5</sub> reached more than 50 % during the second period. The results indicate that joint regional prevention and control of air pollution are needed for Beijing in the future. In addition, the background PM<sub>2.5</sub> concentrations over the North China Plain show an increasing trend in recent years, which may be attributed to the increased atmospheric oxidation capacity, thereby posing a challenge for further regional air quality management.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102437"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886120","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}

引用次数: 0

Can localized vegetation parameters improve microclimate simulation accuracy? A case study in the south subtropical hot-humid area 局部植被参数能否提高小气候模拟精度？以南亚热带湿热地区为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-25 DOI: 10.1016/j.uclim.2025.102426

Xianhui Feng , Meixi Jing

{"title":"Can localized vegetation parameters improve microclimate simulation accuracy? A case study in the south subtropical hot-humid area","authors":"Xianhui Feng , Meixi Jing","doi":"10.1016/j.uclim.2025.102426","DOIUrl":"10.1016/j.uclim.2025.102426","url":null,"abstract":"<div><div>Vegetation parameters significantly impact the accuracy of microclimate simulations, yet their values vary across different climate zones. This study investigates whether using localized vegetation parameters can enhance simulation accuracy. Four scenarios were established with varying vegetation parameters and meteorological boundary conditions. Localized vegetation parameters were obtained from tree measurements in Guangzhou, a representative city in the southern subtropical hot-humid area. On-site microclimate data were used to validate the simulations, with evaluation metrics including <em>R</em><sup><em>2</em></sup>, <em>d</em>, <em>RMSE</em>, and <em>MAE</em>. The results show that (1) Simulations using localized vegetation parameters under full forcing meteorological boundary condition closely matched observed values (<em>R</em><sup><em>2</em></sup> = 0.89, <em>d</em> = 0.98, <em>NRMSE</em> = 0.17, and <em>NMAE</em> = 0.40); (2) ENVI-met can simulates microclimatic effects for different vegetation types, but air temperature simulations on the lawn being more accurate than under tree shade；(3) 63 % of frequently used trees in Guangzhou exhibit LAD values between 0.3 and 0.6 m<sup>2</sup>/m<sup>3</sup>. Overall, the microclimate simulations are more accurate when the localized vegetation parameters are used.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102426"},"PeriodicalIF":6.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869288","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}

引用次数: 0

A machine learning approach for the efficient estimation of ground-level air temperature in urban areas 高效估算城市地区地面气温的机器学习方法

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-24 DOI: 10.1016/j.uclim.2025.102415

Iñigo Delgado-Enales , Joshua Lizundia-Loyola , Patricia Molina-Costa , Javier Del Ser

{"title":"A machine learning approach for the efficient estimation of ground-level air temperature in urban areas","authors":"Iñigo Delgado-Enales , Joshua Lizundia-Loyola , Patricia Molina-Costa , Javier Del Ser","doi":"10.1016/j.uclim.2025.102415","DOIUrl":"10.1016/j.uclim.2025.102415","url":null,"abstract":"<div><div>The increasingly populated cities of the 21st Century face the challenge of being sustainable and resilient spaces for their inhabitants. However, climate change, among other problems, makes these objectives difficult to achieve. The Urban Heat Island phenomenon that occurs in cities, increasing their thermal stress, is one of the stumbling blocks to achieve a more sustainable city. The ability to estimate temperatures with a high degree of accuracy allows for the identification of the highest priority areas in cities where urban improvements need to be made to reduce thermal discomfort. In this work we posit that image-to-image deep neural networks (DNNs) can effectively correlate spatial and meteorological variables of an urban area with street-level air temperature. To this end, we introduce a novel DNN-based model leveraging a U-Net architecture to tackle this modeling task. We evaluate the proposed model through experiments in a use case focused on the city of Bilbao, Spain. Our method achieves regression performance metrics comparable to those of the numerical model it was trained against, with mean absolute error values below 2°C and a Pearson correlation close to 1. Additionally, it demonstrates strong regression performance against true temperature values recorded by on-site weather stations, enhancing the precision of estimates produced by numerical models. These results confirm that DNNs offer a fast and computationally efficient alternative for the data-driven estimation of ground-level air temperature.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102415"},"PeriodicalIF":6.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869117","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}

引用次数: 0

Relationship between LCZ and physical activity in residential areas: A mediating role of perceptions of heat risks in climate change 居住区的LCZ与身体活动的关系：气候变化中热风险感知的中介作用

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-24 DOI: 10.1016/j.uclim.2025.102425

Wei Dong, Runsheng Jiang, Yu Dong, Ang Qu, Yuan Yuan

{"title":"Relationship between LCZ and physical activity in residential areas: A mediating role of perceptions of heat risks in climate change","authors":"Wei Dong, Runsheng Jiang, Yu Dong, Ang Qu, Yuan Yuan","doi":"10.1016/j.uclim.2025.102425","DOIUrl":"10.1016/j.uclim.2025.102425","url":null,"abstract":"<div><div>Climate change has escalated heat risks in urban areas, which caused complex impacts on physical activity and an urgent need for better urban environments. Psychological knowledge helps explain the relationship between urban environment and physical activity levels (PA). Utilizing perceptions of heat risks in climate change (PHR) as the intermediary, the research explored the relationships between the local climate zone classifications (LCZs) of residential areas and the PA of the residents. Data on LCZs, PHR, and PA were collected through questionnaire surveys and remote sensing analysis, with mediation analysis, utilizing the Bootstrap method, applied to test whether PHR mediated these relationships. Results indicate that LCZs significantly affect PHR. Moreover, PHR could modulate residents' PA, with higher “Affective response” correlating with decreased sedentary duration, while higher “Self-efficacy” and “Cognizance” were linked to increased walking duration. Notably, only “Adaptation intentions” appeared to sway the metabolic equivalent. Additionally, LCZs could affect PA indirectly through the mediating influence of PHR. However, some PHR indicators might mitigate some of the direct impacts of LCZs on PA and attenuate the connection between them. This research reveals psychological mechanisms linking urban environments to PA under climate change, informing urban climate governance and healthy city planning.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102425"},"PeriodicalIF":6.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869286","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}

引用次数: 0

An interpretable machine learning approach reveals the interaction between air pollutants and climate factors on tuberculosis 一种可解释的机器学习方法揭示了空气污染物和气候因素对结核病的相互作用

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-22 DOI: 10.1016/j.uclim.2025.102420

Shuo Wang , Ziheng Li , Tianzuo Zhang , Mengqing Li , Liyao Wang , Jinglan Hong

{"title":"An interpretable machine learning approach reveals the interaction between air pollutants and climate factors on tuberculosis","authors":"Shuo Wang , Ziheng Li , Tianzuo Zhang , Mengqing Li , Liyao Wang , Jinglan Hong","doi":"10.1016/j.uclim.2025.102420","DOIUrl":"10.1016/j.uclim.2025.102420","url":null,"abstract":"<div><div>Tuberculosis (TB) remains a major global public health challenge. However, the increasing problems of air pollution and climate change have a potential impact on the incidence of TB. Understanding the potential interaction between air pollutants and climate factors on TB is critical for accurate disease control strategies but remains elusive. In this study, a data-driven model is developed to predict the incidence of TB in China, and the intricate influence of air pollutants and climate factors on the change of TB is clarified based on shapley additive explanations. We find that a complex nonlinear response of TB incidence to air pollutants and climate factors. PM<sub>2.5</sub> is positively correlated with TB incidence, while sunshine duration is negatively correlated with TB incidence. Certain features exhibit potential threshold effects on TB incidence, as indicated by a notable increase in positive association strength when PM<sub>2.5</sub> reaches 30 μg/m<sup>3</sup> and O<sub>3</sub> reaches 50 μg/m<sup>3</sup>. Climate factors could regulate the impact of air pollutants on TB. Precipitation has a negative interaction effect on PM<sub>2.5</sub>, while temperature has a positive interaction effect on O<sub>3</sub>. This study provides a regionalized early warning strategy for the regional prevention and control of TB based on the spatial heterogeneity of the interaction effects found.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102420"},"PeriodicalIF":6.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855210","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}

引用次数: 0

Comparative analysis of thermal and visual comfort perceptions of outdoor military training of University students 大学生户外军训热舒适与视觉舒适的比较分析

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-22 DOI: 10.1016/j.uclim.2025.102418

Bin Yang , Luting Bai , Zhe Li , Miao Guo , Bo Hong

{"title":"Comparative analysis of thermal and visual comfort perceptions of outdoor military training of University students","authors":"Bin Yang , Luting Bai , Zhe Li , Miao Guo , Bo Hong","doi":"10.1016/j.uclim.2025.102418","DOIUrl":"10.1016/j.uclim.2025.102418","url":null,"abstract":"<div><div>A well-designed outdoor environment can enhance thermal and visual comfort of University students and may even mitigate health risks associated with prolonged exposure to high temperatures. Previous studies pay less attention to both thermal and visual perceptions during outdoor training of University students. This study aims to investigate differences and correlations between thermal and visual perceptions of University students in different standing venues and under different standing conditions in a military training team during summer military training. In this study, freshmen were invited to fill in questionnaires during military training breaks. Microclimate parameters were continuously monitored. The results showed that having shade during rest periods can significantly improve thermal and visual perceptions, resulting in a significant increase of 0.75 in mean thermal comfort vote (MTCV) and an increase of 0.55 in mean visual comfort vote (MVCV). Standing in the middle of phalanx also had a positive impact on thermal and visual comfort, with increases of 0.88 and 0.73 in MTCV and MVCV, respectively. Strong positive correlation between thermal comfort and visual comfort can be found. This study provides a scientific basis for optimizing campus outdoor spaces, which help to avoid overexposure to hot outdoor environments and reduce health risks.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102418"},"PeriodicalIF":6.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859735","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}

引用次数: 0