Pub Date : 2025-12-16DOI: 10.1016/j.buildenv.2025.114147
Feng Shi, Wenjie Ma, Junsong Wang, Qinglin Meng
Outdoor accessible-facility surfaces (e.g., handrails, braille signage, seating) can reach painful temperatures during hot weather, yet design and operations lack a weather-to-safety method. Here, we test whether routine meteorological inputs can be translated into facility-level tactile safety grades. In this study, we combined a census of accessible facilities in Guangzhou with controlled outdoor experiments on 27 common materials under four exposure scenarios, recording shortwave/longwave radiation, air temperature, humidity, and wind. We developed parsimonious empirical models that predict surface temperature from weather and defined time-dependent pain/burn thresholds to form a tactile heat-safety index (THSI, L1–L5). Results show that shading consistently and substantially lowers surface temperatures; dominant drivers shift from shortwave+longwave coupling when unshaded to longwave plus air temperature under shade; and the models remain robust across materials and scenarios. Applying THSI, unshaded metal handrails and polished stone frequently fall below acceptable pain-safety levels, whereas shading upgrades them to safer classes; burn risk generally remains in higher safety classes. This framework converts weather directly into facility-level safety grades, providing a transferable, operational tool to prioritize shading and material treatments for inclusive, climate-adaptive public spaces.
{"title":"Tactile heat risk in outdoor accessible infrastructure: Models, thresholds and mitigation","authors":"Feng Shi, Wenjie Ma, Junsong Wang, Qinglin Meng","doi":"10.1016/j.buildenv.2025.114147","DOIUrl":"10.1016/j.buildenv.2025.114147","url":null,"abstract":"<div><div>Outdoor accessible-facility surfaces (e.g., handrails, braille signage, seating) can reach painful temperatures during hot weather, yet design and operations lack a weather-to-safety method. Here, we test whether routine meteorological inputs can be translated into facility-level tactile safety grades. In this study, we combined a census of accessible facilities in Guangzhou with controlled outdoor experiments on 27 common materials under four exposure scenarios, recording shortwave/longwave radiation, air temperature, humidity, and wind. We developed parsimonious empirical models that predict surface temperature from weather and defined time-dependent pain/burn thresholds to form a tactile heat-safety index (THSI, L1–L5). Results show that shading consistently and substantially lowers surface temperatures; dominant drivers shift from shortwave+longwave coupling when unshaded to longwave plus air temperature under shade; and the models remain robust across materials and scenarios. Applying THSI, unshaded metal handrails and polished stone frequently fall below acceptable pain-safety levels, whereas shading upgrades them to safer classes; burn risk generally remains in higher safety classes. This framework converts weather directly into facility-level safety grades, providing a transferable, operational tool to prioritize shading and material treatments for inclusive, climate-adaptive public spaces.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114147"},"PeriodicalIF":7.6,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.buildenv.2025.114135
Christy Vidiyanti , Surjamanto Wonorahardjo , M Donny Koerniawan
The increasing reliance on digital learning media presents lighting challenges that can affect visual performance in classrooms. This study investigated visual fatigue in a classroom without artificial lighting by examining six daylight configurations (two window positions and three opening areas), three learning media types (non-lit, reflected-lit, and self-lit devices), and spatial factors (viewing distance and angle). Fifty university students participated in real-classroom experiments. Visual fatigue was assessed using an eye-symptom questionnaire, and the luminous environment was evaluated through illuminance and luminance measurements. Results showed that visual fatigue was significantly influenced by window position, daylight opening ratio, and their interaction with learning media. Rear-window classrooms produced higher fatigue levels than side-window classrooms, particularly with reflected-lit learning media. Low ambient illuminance and high luminance contrast between learning media and desk surfaces increased fatigue, as did frequent shifts in the field of view between near and far tasks. Regression analysis indicated significant contributions from eye illuminance, vertical wall luminance, temporal light modulation risk, and non-linear effects of viewing distance. Self-lit devices demonstrated the lowest and most stable fatigue levels under appropriate lighting (32–310 lx eye illuminance, 29–63 cd/m² vertical luminance). In contrast, reflected-lit devices consistently induced the highest fatigue due to the temporal light modulation characteristic. Non-lit devices required stronger ambient lighting to achieve acceptable clarity. These findings underscore the importance of aligning classroom lighting with the type of media and spatial design. Practical thresholds for illuminance and luminance are proposed to support healthier, more effective learning environments.
{"title":"Classroom visual fatigue indication and its determinants: Daylighting, learning media, and spatial factors","authors":"Christy Vidiyanti , Surjamanto Wonorahardjo , M Donny Koerniawan","doi":"10.1016/j.buildenv.2025.114135","DOIUrl":"10.1016/j.buildenv.2025.114135","url":null,"abstract":"<div><div>The increasing reliance on digital learning media presents lighting challenges that can affect visual performance in classrooms. This study investigated visual fatigue in a classroom without artificial lighting by examining six daylight configurations (two window positions and three opening areas), three learning media types (non-lit, reflected-lit, and self-lit devices), and spatial factors (viewing distance and angle). Fifty university students participated in real-classroom experiments. Visual fatigue was assessed using an eye-symptom questionnaire, and the luminous environment was evaluated through illuminance and luminance measurements. Results showed that visual fatigue was significantly influenced by window position, daylight opening ratio, and their interaction with learning media. Rear-window classrooms produced higher fatigue levels than side-window classrooms, particularly with reflected-lit learning media. Low ambient illuminance and high luminance contrast between learning media and desk surfaces increased fatigue, as did frequent shifts in the field of view between near and far tasks. Regression analysis indicated significant contributions from eye illuminance, vertical wall luminance, temporal light modulation risk, and non-linear effects of viewing distance. Self-lit devices demonstrated the lowest and most stable fatigue levels under appropriate lighting (32–310 lx eye illuminance, 29–63 cd/m² vertical luminance). In contrast, reflected-lit devices consistently induced the highest fatigue due to the temporal light modulation characteristic. Non-lit devices required stronger ambient lighting to achieve acceptable clarity. These findings underscore the importance of aligning classroom lighting with the type of media and spatial design. Practical thresholds for illuminance and luminance are proposed to support healthier, more effective learning environments.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114135"},"PeriodicalIF":7.6,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.buildenv.2025.114138
Xunmei Wu , Huihui Zhang , Thomas S.T. Ng , Alvin C.K. Lai
This study investigated a portable 222 nm far ultraviolet C (far-UVC) air disinfection device by progressing through three key phases: model validation, followed by sequential enhancement, and culminating in real-room validation. The irradiance prediction and Eulerian CFD disinfection models were validated by measurements, with an average error of <5 %. Based on this validation, a sequential enhancement strategy was developed. The addition of reflective anodized aluminum not only increased the volume-averaged irradiance from 112.4 to 169.3 μW/cm², but also altered the light distribution, resulting in an improvement in disinfection efficiency from 49.3 % to 61.6 %. Further optimization using an agent-based actor–critic algorithm increased the volume-averaged irradiance to 175.8 μW/cm², raised the uniformity index from 0.51 to 0.61, and lifted the single-pass efficiency to 66.4 %. Validation in a room-sized chamber at an airflow rate of 84 m³/h showed that applying the baseline single-pass efficiency of 49.3 % would yield a UVC-induced decay rate kuv of only 0.0333 min⁻¹, whereas the optimized device achieved 0.0466 min⁻¹—an improvement of about 39.9 %. These results confirm the effectiveness of irradiance enhancement and optimized lamp placement in improving device performance.
{"title":"Improving far-UVC disinfection efficiency in portable devices: Optical enhancement and agent-based lamps’ layout optimization","authors":"Xunmei Wu , Huihui Zhang , Thomas S.T. Ng , Alvin C.K. Lai","doi":"10.1016/j.buildenv.2025.114138","DOIUrl":"10.1016/j.buildenv.2025.114138","url":null,"abstract":"<div><div>This study investigated a portable 222 nm far ultraviolet C (far-UVC) air disinfection device by progressing through three key phases: model validation, followed by sequential enhancement, and culminating in real-room validation. The irradiance prediction and Eulerian CFD disinfection models were validated by measurements, with an average error of <5 %. Based on this validation, a sequential enhancement strategy was developed. The addition of reflective anodized aluminum not only increased the volume-averaged irradiance from 112.4 to 169.3 μW/cm², but also altered the light distribution, resulting in an improvement in disinfection efficiency from 49.3 % to 61.6 %. Further optimization using an agent-based actor–critic algorithm increased the volume-averaged irradiance to 175.8 μW/cm², raised the uniformity index from 0.51 to 0.61, and lifted the single-pass efficiency to 66.4 %. Validation in a room-sized chamber at an airflow rate of 84 m³/h showed that applying the baseline single-pass efficiency of 49.3 % would yield a UVC-induced decay rate <em>k<sub>uv</sub></em> of only 0.0333 min⁻¹, whereas the optimized device achieved 0.0466 min⁻¹—an improvement of about 39.9 %. These results confirm the effectiveness of irradiance enhancement and optimized lamp placement in improving device performance.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114138"},"PeriodicalIF":7.6,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145838407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.buildenv.2025.114139
Mingxuan Wan , Yezhan Li , Naoki Ikegaya
Accurate prediction of percentile wind speeds, including both rare strong and weak winds, in urban environments is crucial for pedestrian safety and urban planning. Previous studies have successfully employed artificial neural network (ANN) models using high-order statistical inputs to predict percentile wind speeds. However, while most meteorological stations, wind-tunnel experiments, and computational fluid dynamics provide abundant second-order statistical data (mean and standard deviation), how to effectively reconstruct building-scale infrequent flow fields from such data remains a major challenge. This study proposes a convolutional neural network (CNN) using only second-order statistical inputs derived from large-eddy simulation data of staggered building layouts to predict percentile wind speeds. To assess how input grid size affects performance, three CNN models with varying input grid sizes were evaluated, and the medium input grid size yielded a 10–20 % improvement in accuracy. Furthermore, a comparison between the CNN and ANN models, both using second-order statistical inputs, shows that the CNN significantly outperforms its ANN counterpart. The normalized RMSE of CNN model decreases by more than 30 % relative to ANN model at 99.9, 99, and 1 percentiles, by 25 % at the 10 percentile, and remains over 10 % lower at 0.1 and 90 percentiles. This research provides a robust data-driven approach for urban wind assessment and contributes to enhanced pedestrian safety evaluation in complex urban environments.
{"title":"Prediction of pedestrian-level percentile wind speeds with CNN models using fundamental statistics","authors":"Mingxuan Wan , Yezhan Li , Naoki Ikegaya","doi":"10.1016/j.buildenv.2025.114139","DOIUrl":"10.1016/j.buildenv.2025.114139","url":null,"abstract":"<div><div>Accurate prediction of percentile wind speeds, including both rare strong and weak winds, in urban environments is crucial for pedestrian safety and urban planning. Previous studies have successfully employed artificial neural network (ANN) models using high-order statistical inputs to predict percentile wind speeds. However, while most meteorological stations, wind-tunnel experiments, and computational fluid dynamics provide abundant second-order statistical data (mean and standard deviation), how to effectively reconstruct building-scale infrequent flow fields from such data remains a major challenge. This study proposes a convolutional neural network (CNN) using only second-order statistical inputs derived from large-eddy simulation data of staggered building layouts to predict percentile wind speeds. To assess how input grid size affects performance, three CNN models with varying input grid sizes were evaluated, and the medium input grid size yielded a 10–20 % improvement in accuracy. Furthermore, a comparison between the CNN and ANN models, both using second-order statistical inputs, shows that the CNN significantly outperforms its ANN counterpart. The normalized RMSE of CNN model decreases by more than 30 % relative to ANN model at 99.9, 99, and 1 percentiles, by 25 % at the 10 percentile, and remains over 10 % lower at 0.1 and 90 percentiles. This research provides a robust data-driven approach for urban wind assessment and contributes to enhanced pedestrian safety evaluation in complex urban environments.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114139"},"PeriodicalIF":7.6,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.buildenv.2025.114140
Agnese Chiucchiù , Veronica Martins Gnecco , Ilaria Pigliautile , Anna Laura Pisello
The built environment accounts for nearly one-third of global energy demand, underscoring the need to enhance building performance through strategies that integrate both technological solutions and human factors. Occupants play a pivotal role in this process, as their comfort and well-being are shaped by complex interactions across multiple environmental domains. This study investigates cross-domain effects between thermal and acoustic environments, with a specific focus on how personality traits modulate perceptual responses. An experimental campaign was conducted in a controlled test room under two thermal conditions: a neutral phase (21 °C) and a mild discomfort phase (23 °C). In each phase, 25 participants evaluated seven soundscapes with distinct acoustic characteristics, ranging from natural to anthropogenic. Continuous monitoring of environmental parameters ensured accurate boundary conditions, while personality traits were assessed to capture inter-individual variability. Results show that even slight thermal variations influence acoustic perception, producing systematic negative shifts in the evaluation of the main soundscape’s descriptors across phases. Cluster analysis of personality traits identified two groups: one with higher emotional stability and openness, and another with stronger neurotic tendencies. These groups exhibited divergent perceptual patterns, with neurotic individuals reporting greater sensitivity to anthropic and chaotic soundscapes, and emotionally stable participants showing stronger appreciation for natural ones. Overall, the findings demonstrate that occupant perception cannot be understood through single-domain analyses alone. Integrating cross-domain interactions and personality-driven variability into adaptive comfort models and occupant-centric design strategies is essential to support buildings that are both energy-efficient and responsive to human diversity.
{"title":"The role of personality in multi-domain environmental perception: An occupant-centric approach","authors":"Agnese Chiucchiù , Veronica Martins Gnecco , Ilaria Pigliautile , Anna Laura Pisello","doi":"10.1016/j.buildenv.2025.114140","DOIUrl":"10.1016/j.buildenv.2025.114140","url":null,"abstract":"<div><div>The built environment accounts for nearly one-third of global energy demand, underscoring the need to enhance building performance through strategies that integrate both technological solutions and human factors. Occupants play a pivotal role in this process, as their comfort and well-being are shaped by complex interactions across multiple environmental domains. This study investigates cross-domain effects between thermal and acoustic environments, with a specific focus on how personality traits modulate perceptual responses. An experimental campaign was conducted in a controlled test room under two thermal conditions: a neutral phase (21 °C) and a mild discomfort phase (23 °C). In each phase, 25 participants evaluated seven soundscapes with distinct acoustic characteristics, ranging from natural to anthropogenic. Continuous monitoring of environmental parameters ensured accurate boundary conditions, while personality traits were assessed to capture inter-individual variability. Results show that even slight thermal variations influence acoustic perception, producing systematic negative shifts in the evaluation of the main soundscape’s descriptors across phases. Cluster analysis of personality traits identified two groups: one with higher emotional stability and openness, and another with stronger neurotic tendencies. These groups exhibited divergent perceptual patterns, with neurotic individuals reporting greater sensitivity to anthropic and chaotic soundscapes, and emotionally stable participants showing stronger appreciation for natural ones. Overall, the findings demonstrate that occupant perception cannot be understood through single-domain analyses alone. Integrating cross-domain interactions and personality-driven variability into adaptive comfort models and occupant-centric design strategies is essential to support buildings that are both energy-efficient and responsive to human diversity.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114140"},"PeriodicalIF":7.6,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145838512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban Air Mobility (UAM) is experiencing rapid global development and is projected to deliver substantial benefits to the evolution of modern cities. Its application requires a precise understanding of urban wind environments and the establishment of safe flight operations. This paper organizes the relationship between UAM and urban wind environments into ten key questions, summarizing essential concepts, technological advancements, and research trends. It examines the effects of turbulent flows generated by buildings and structures in urban areas on the flight stability of UAM, while also exploring methods for airflow prediction and wind environment control through urban design. Furthermore, it discusses evaluation techniques for urban airflow using numerical fluid and meteorological analysis, wind tunnel experiments, observational technologies, and the potential of new predictive methods leveraging machine learning. Additionally, the paper presents challenges and countermeasures for UAM operations, including the mitigation and optimization of wind conditions through building layout and design, flight route planning, UAM’s influence on non-wind urban environments, and the establishment of operation regulations.
{"title":"Ten questions concerning urban wind environments for the safe utilization of urban air mobility","authors":"Hongyuan Jia , Chao Lin , Mahiro Iwabuchi , Hideki Kikumoto","doi":"10.1016/j.buildenv.2025.114136","DOIUrl":"10.1016/j.buildenv.2025.114136","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is experiencing rapid global development and is projected to deliver substantial benefits to the evolution of modern cities. Its application requires a precise understanding of urban wind environments and the establishment of safe flight operations. This paper organizes the relationship between UAM and urban wind environments into ten key questions, summarizing essential concepts, technological advancements, and research trends. It examines the effects of turbulent flows generated by buildings and structures in urban areas on the flight stability of UAM, while also exploring methods for airflow prediction and wind environment control through urban design. Furthermore, it discusses evaluation techniques for urban airflow using numerical fluid and meteorological analysis, wind tunnel experiments, observational technologies, and the potential of new predictive methods leveraging machine learning. Additionally, the paper presents challenges and countermeasures for UAM operations, including the mitigation and optimization of wind conditions through building layout and design, flight route planning, UAM’s influence on non-wind urban environments, and the establishment of operation regulations.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114136"},"PeriodicalIF":7.6,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-13DOI: 10.1016/j.buildenv.2025.114133
Lin Liu , Shen Wang , Jingjing Dou , Guanwen Chen , Jian Hang , Xia Yang
High-density building clusters emit substantial anthropogenic heat (AH), resulting in a continuous heat accumulation within the urban canopy layer (UCL) and enhancing thermal turbulent exchange with the roughness sublayer (RSL). This study develops a mathematical model to quantify the influence of building AH on air temperature variations across time and height in both UCL and RSL. Grouping and zonal control of concrete models in scaled outdoor experiment are employed to achieve experimental calibration of temperature rise model based on anthropogenic heat emission (AHE) probability. Results show that increased AHE strengthens thermal stratification in the UCL. At night, the maximum temperature differences between the top and bottom of the UCL could reach 1.0 °C (Cold condition) and 2.5 °C (Hot condition), while the difference of RSL remained a relative lower value below 0.3 °C. In contrast to stable nighttime, the daytime air temperature fluctuation range in UCL exhibits peak hourly changes of 9 °C (Cold) and 6 °C (Hot). Significant positive correlations (p < 0.01) are observed between ambient temperature and UCL/RSL air temperatures (Spearman: 0.70∼0.97), and between AHE and UCL/RSL air temperatures (Spearman:0.14∼0.45). Thermal diffusivity increases with air temperature range. Calibration of ensures MAE and RMSE of model meet required criteria with maximum R2 of 0.961 (Cold) and 0.957 (Hot). This study clarifies the thermal exchange process between UCL and RSL caused by building AHE through mathematical model and scaled outdoor experiment.
{"title":"Modeling the vertical air temperature rise patterns of densely-built urban canyons under building anthropogenic heat via a scaled outdoor experiment","authors":"Lin Liu , Shen Wang , Jingjing Dou , Guanwen Chen , Jian Hang , Xia Yang","doi":"10.1016/j.buildenv.2025.114133","DOIUrl":"10.1016/j.buildenv.2025.114133","url":null,"abstract":"<div><div>High-density building clusters emit substantial anthropogenic heat (AH), resulting in a continuous heat accumulation within the urban canopy layer (UCL) and enhancing thermal turbulent exchange with the roughness sublayer (RSL). This study develops a mathematical model to quantify the influence of building AH on air temperature variations across time and height in both UCL and RSL. Grouping and zonal control of concrete models in scaled outdoor experiment are employed to achieve experimental calibration of temperature rise model based on anthropogenic heat emission (AHE) probability. Results show that increased AHE strengthens thermal stratification in the UCL. At night, the maximum temperature differences between the top and bottom of the UCL could reach 1.0 °C (Cold condition) and 2.5 °C (Hot condition), while the difference of RSL remained a relative lower value below 0.3 °C. In contrast to stable nighttime, the daytime air temperature fluctuation range in UCL exhibits peak hourly changes of 9 °C (Cold) and 6 °C (Hot). Significant positive correlations (p < 0.01) are observed between ambient temperature and UCL/RSL air temperatures (Spearman: 0.70∼0.97), and between AHE and UCL/RSL air temperatures (Spearman:0.14∼0.45). Thermal diffusivity <span><math><msub><mi>K</mi><mi>z</mi></msub></math></span> increases with air temperature range. Calibration of <span><math><msub><mi>K</mi><mi>z</mi></msub></math></span> ensures MAE and RMSE of model meet required criteria with maximum R<sup>2</sup> of 0.961 (Cold) and 0.957 (Hot). This study clarifies the thermal exchange process between UCL and RSL caused by building AHE through mathematical model and scaled outdoor experiment.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114133"},"PeriodicalIF":7.6,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-13DOI: 10.1016/j.buildenv.2025.114131
A.U. Weerasuriya , Bin Lu , Xuelin Zhang , Binura J. Kudagama , E.K.W. Tsang , Qiusheng Li
This study investigated how climate change affects the outcomes of two microclimate assessments, an Air Ventilation Assessment (AVA) and an outdoor thermal comfort assessment, at an urban site in Hong Kong using computational fluid dynamics (CFD) simulations. The current and future climate data were prepared using historic meteorological observations from 1981 to 2020 and climate projections from 2025 to 2100 under three Shared Socioeconomic Pathways (SSPs), SSP126, SSP245, and SSP585, which represent the most sustainable, business-as-usual, and the most unfavorable climate change scenarios, respectively, using 44 General Circulation Models. The simulations revealed an increase in both the magnitude and frequency of wind in the dominant wind direction in the future. As a result, areas with the acceptable wind speeds (>1.5 m/s) recommended in AVA and satisfactory wind speeds (1 m/s–1.5 m/s) will slightly increase in the future, improving long-term air ventilation at the site compared to the current condition. However, the enhanced long-term air ventilation may not be sufficient to alleviate worsening outdoor thermal comfort in summer, primarily due to a greater impact of rising air temperature from global warming. Climate change will increase air temperature by 1 °C to 1.4 °C in the near future (2025–2062) and 1.5 °C to 3.6 °C in the far future (2063–2100). The Universal Thermal Climate Index (UTCI) shows a substantial increase in thermal stress from night to early morning in the future, in particular, under the most severe climate scenario of SSP585, causing outdoor thermal discomfort for extended periods at the site.
本研究利用计算流体动力学(CFD)模拟研究了气候变化如何影响香港一个城市站点的两种小气候评估结果,即空气流通评估(AVA)和室外热舒适评估。利用1981 ~ 2020年的历史气象观测资料和2025 ~ 2100年的气候预估,利用44种大气环流模式,在SSP126、SSP245和SSP585 3种共享社会经济路径(Shared social - social - path, SSP126、SSP245和SSP585分别代表最可持续、一切正常和最不利的气候变化情景)下编制了当前和未来气候数据。模拟结果显示,未来主导风向的风的强度和频率都将增加。因此,AVA建议的可接受风速(>1.5 m/s)和满意风速(1m /s - 1.5 m/s)的区域将在未来略有增加,与目前的情况相比,改善了现场的长期空气流通。然而,增强的长期通风可能不足以缓解夏季室外热舒适的恶化,主要是由于全球变暖导致的气温上升的影响更大。在不久的将来(2025-2062),气候变化将使气温升高1°C至1.4°C,在遥远的将来(2063-2100),将使气温升高1.5°C至3.6°C。通用热气候指数(UTCI)显示,未来从夜间到清晨,特别是在SSP585最严重的气候情景下,热应力显著增加,导致站点室外热不适时间延长。
{"title":"Are present microclimate assessments valid in future changing climates? A case study from Hong Kong","authors":"A.U. Weerasuriya , Bin Lu , Xuelin Zhang , Binura J. Kudagama , E.K.W. Tsang , Qiusheng Li","doi":"10.1016/j.buildenv.2025.114131","DOIUrl":"10.1016/j.buildenv.2025.114131","url":null,"abstract":"<div><div>This study investigated how climate change affects the outcomes of two microclimate assessments, an Air Ventilation Assessment (AVA) and an outdoor thermal comfort assessment, at an urban site in Hong Kong using computational fluid dynamics (CFD) simulations. The current and future climate data were prepared using historic meteorological observations from 1981 to 2020 and climate projections from 2025 to 2100 under three Shared Socioeconomic Pathways (SSPs), SSP126, SSP245, and SSP585, which represent the most sustainable, business-as-usual, and the most unfavorable climate change scenarios, respectively, using 44 General Circulation Models. The simulations revealed an increase in both the magnitude and frequency of wind in the dominant wind direction in the future. As a result, areas with the acceptable wind speeds (>1.5 m/s) recommended in AVA and satisfactory wind speeds (1 m/s–1.5 m/s) will slightly increase in the future, improving long-term air ventilation at the site compared to the current condition. However, the enhanced long-term air ventilation may not be sufficient to alleviate worsening outdoor thermal comfort in summer, primarily due to a greater impact of rising air temperature from global warming. Climate change will increase air temperature by 1 °C to 1.4 °C in the near future (2025–2062) and 1.5 °C to 3.6 °C in the far future (2063–2100). The Universal Thermal Climate Index (UTCI) shows a substantial increase in thermal stress from night to early morning in the future, in particular, under the most severe climate scenario of SSP585, causing outdoor thermal discomfort for extended periods at the site.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114131"},"PeriodicalIF":7.6,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-12DOI: 10.1016/j.buildenv.2025.114124
Ruoxiang Tu , Yiwei Bai , Yonghong Xu , Yanchu Liang , Yiqiang Xiao , Shi Yin
Walking is a widely accessible form of physical activity for urban residents, offering substantial benefits for both physical and mental health. While walking in green spaces has been shown to reduce stress and improve physiological markers, the dose–response relationship between walking distance and restorative outcomes remains unclear, as does the influence of complex environmental exposures on these benefits.
A controlled walking experiment was conducted in a green space in autumn with 36 participants. Each completed two randomized walks (2 or 2.5 km) with a one-week washout. Subjective measures were collected before and after stress induction, at midpoint, and post-walk. Electrodermal activity was continuously recorded. Environmental factors—temperature, humidity, radiation, noise, and pollutants (NO₂, CO, PM2.5)—were monitored using a mobile station, and the universal thermal climate index was calculated.
Wilcoxon test results showed that, among the distances tested, continuous walking for 2 km was associated with the greatest improvements in tonic arousal, acute electrodermal reactivity, and subjective psychological restoration. Shorter walks (1–1.5 km) and longer walks (2.5 km) yielded relatively smaller outcomes, suggesting a preliminary threshold. Linear mixed models and geographically weighted regression analyses indicated that uncomfortable environmental conditions acted as potential confounders and modulated restorative outcomes during walking, with air pollution, thermal conditions, and sensory satisfaction exerting measurable effects on electrodermal activity. The observed 2 km distance may serve as a tentative spatial reference for urban walking environment design, highlighting the importance of integrating microclimatic comfort, air quality, and aesthetic appeal to support restorative benefits for pedestrians.
{"title":"Dose-response relationship between green walking distance and pedestrians’ restorative outcomes: A pilot study with microclimate measurements","authors":"Ruoxiang Tu , Yiwei Bai , Yonghong Xu , Yanchu Liang , Yiqiang Xiao , Shi Yin","doi":"10.1016/j.buildenv.2025.114124","DOIUrl":"10.1016/j.buildenv.2025.114124","url":null,"abstract":"<div><div>Walking is a widely accessible form of physical activity for urban residents, offering substantial benefits for both physical and mental health. While walking in green spaces has been shown to reduce stress and improve physiological markers, the dose–response relationship between walking distance and restorative outcomes remains unclear, as does the influence of complex environmental exposures on these benefits.</div><div>A controlled walking experiment was conducted in a green space in autumn with 36 participants. Each completed two randomized walks (2 or 2.5 km) with a one-week washout. Subjective measures were collected before and after stress induction, at midpoint, and post-walk. Electrodermal activity was continuously recorded. Environmental factors—temperature, humidity, radiation, noise, and pollutants (NO₂, CO, PM<sub>2.5</sub>)—were monitored using a mobile station, and the universal thermal climate index was calculated.</div><div>Wilcoxon test results showed that, among the distances tested, continuous walking for 2 km was associated with the greatest improvements in tonic arousal, acute electrodermal reactivity, and subjective psychological restoration. Shorter walks (1–1.5 km) and longer walks (2.5 km) yielded relatively smaller outcomes, suggesting a preliminary threshold. Linear mixed models and geographically weighted regression analyses indicated that uncomfortable environmental conditions acted as potential confounders and modulated restorative outcomes during walking, with air pollution, thermal conditions, and sensory satisfaction exerting measurable effects on electrodermal activity. The observed 2 km distance may serve as a tentative spatial reference for urban walking environment design, highlighting the importance of integrating microclimatic comfort, air quality, and aesthetic appeal to support restorative benefits for pedestrians.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114124"},"PeriodicalIF":7.6,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145760801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor fungal contamination may pose health risks and cause superficial deterioration of building materials. This study investigated the fungal susceptibility of new, commonly used wood-based materials (planed wood, plywood, oriented strand board (OSB), particleboard, medium-density fibreboard (MDF), and gypsum board). The surface cleaned or disinfected samples were subjected to three moisture scenarios: 1) prolonged high relative humidity (RH), 2) undiscovered water leakage, and 3) flooding with subsiding water.
All materials were prone to fungal growth under favourable conditions, regardless of type, treatment, or retailer, though wood was the most resistant. Surface disinfection was ineffective in preventing growth, indicating that spores are embedded within materials. Quick drying after water exposure could prevent fungal establishment. A diverse array of fungal species was identified, with the most frequent being Aspergillus pseudoglaucus, Asp. hiratsukae, Purpureocillium lilacinum, Ascotricha chartarum, Aspergillus section Nigri, Aspergillus spp., Penicillium spp., and Pen. corylophilum. Associations were observed between material types and fungal taxa, with wood composites being particularly vulnerable to contamination, likely due to the use of carbohydrate-enriched adhesives, which serve as a food source for fungi.
Moisture response varied by material, moisture scenario, and exposure duration. Plywood and MDF showed the highest and fastest sorption and desorption capacities, whereas OSB and particleboard showed slower responses. Gypsum board had the lowest initial free water content and was the least hygroscopic under high RH, but with the highest liquid water absorption capacity relative to its initial water content. Planned wood demonstrated moderate sorption potential from air humidity, the lowest from liquid water, and the lowest fungal load and diversity.
{"title":"Pre-contamination of new, wood-based building materials: fungal diversity and susceptibility under different moisture scenarios","authors":"Evangelia Loukou , Nickolaj Feldt Jensen , Lasse Rohde , Birgitte Andersen","doi":"10.1016/j.buildenv.2025.114129","DOIUrl":"10.1016/j.buildenv.2025.114129","url":null,"abstract":"<div><div>Indoor fungal contamination may pose health risks and cause superficial deterioration of building materials. This study investigated the fungal susceptibility of new, commonly used wood-based materials (planed wood, plywood, oriented strand board (OSB), particleboard, medium-density fibreboard (MDF), and gypsum board). The surface cleaned or disinfected samples were subjected to three moisture scenarios: 1) prolonged high relative humidity (RH), 2) undiscovered water leakage, and 3) flooding with subsiding water.</div><div>All materials were prone to fungal growth under favourable conditions, regardless of type, treatment, or retailer, though wood was the most resistant. Surface disinfection was ineffective in preventing growth, indicating that spores are embedded within materials. Quick drying after water exposure could prevent fungal establishment. A diverse array of fungal species was identified, with the most frequent being <em>Aspergillus pseudoglaucus, Asp. hiratsukae, Purpureocillium lilacinum, Ascotricha chartarum, Aspergillus</em> section <em>Nigri, Aspergillus</em> spp., <em>Penicillium</em> spp., and <em>Pen. corylophilum</em>. Associations were observed between material types and fungal taxa, with wood composites being particularly vulnerable to contamination, likely due to the use of carbohydrate-enriched adhesives, which serve as a food source for fungi.</div><div>Moisture response varied by material, moisture scenario, and exposure duration. Plywood and MDF showed the highest and fastest sorption and desorption capacities, whereas OSB and particleboard showed slower responses. Gypsum board had the lowest initial free water content and was the least hygroscopic under high RH, but with the highest liquid water absorption capacity relative to its initial water content. Planned wood demonstrated moderate sorption potential from air humidity, the lowest from liquid water, and the lowest fungal load and diversity.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"290 ","pages":"Article 114129"},"PeriodicalIF":7.6,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}