Urban Climate最新文献_第2页

Evolving dynamics of lagoons in a megacity: Insights on climate and urbanization over four decades 大城市中泻湖的演变动态：四十年来气候和城市化的见解

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-09 DOI: 10.1016/j.uclim.2025.102439

Kamaldeen Olakunle L. Omosanya , Ridwan Oseni , Muhedeen A. Lawal , Ayomipo Bankole , Ganiyu O. Mosuro

{"title":"Evolving dynamics of lagoons in a megacity: Insights on climate and urbanization over four decades","authors":"Kamaldeen Olakunle L. Omosanya , Ridwan Oseni , Muhedeen A. Lawal , Ayomipo Bankole , Ganiyu O. Mosuro","doi":"10.1016/j.uclim.2025.102439","DOIUrl":"10.1016/j.uclim.2025.102439","url":null,"abstract":"<div><div>Lagoons are critical coastal ecosystems that serve as buffers against climate change impacts while supporting biodiversity and socio-economic activities. However, these systems are increasingly threatened by the combined pressures of urban expansion and climate variability, particularly in rapidly growing megacities. This study investigates the dynamic transformation of the Lagos lagoon systems in West Africa, comprising Epe, Ologe, Lagos, and Lekki Lagoons over four decades (1984–2024). Lagos, a megacity, is an ideal case due to its rapid urban growth, economic significance, and unique coastal dynamics. Using an integrated approach that combines satellite-derived geospatial data with hydrological and climatic analyses, we quantify long-term changes in lagoon area, volume, temperature, and rainfall trends. Contrary to global patterns where urbanization typically results in lagoon shrinkage, our findings reveal a significant expansion in lagoon area and volume, primarily driven by anthropogenic modifications such as land reclamation and sedimentation, as well as broader climatic factors, including sea-level rise and tidal surges. These results highlight the complex interplay between natural and anthropogenic drivers of coastal change, emphasizing the necessity for adaptive management strategies. Importantly, our study contributes to a broader understanding of lagoon system responses to external stressors and provides a foundation for developing evidence-based policies and nature-based solutions to mitigate the adverse impacts of urbanization on coastal ecosystems.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102439"},"PeriodicalIF":6.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923609","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 upward heat transport and building arrangement in urban districts of Osaka as revealed by large-eddy simulations 大涡模拟揭示大阪市区向上热输送与建筑物布置的关系

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-09 DOI: 10.1016/j.uclim.2025.102441

Seika Tanji, Tetsuya Takemi

{"title":"Relationship between upward heat transport and building arrangement in urban districts of Osaka as revealed by large-eddy simulations","authors":"Seika Tanji, Tetsuya Takemi","doi":"10.1016/j.uclim.2025.102441","DOIUrl":"10.1016/j.uclim.2025.102441","url":null,"abstract":"<div><div>Urban impacts on local weather are the aggregated influences of buildings and man-made structures, therefore requiring analyses with an explicit representation of building arrangements and an upscaling from urban-district scale to mesoscale. Using a building-resolving large-eddy simulation model, this study examines how local climate zones (LCZs) and building arrangement parameters are related quantitatively to the upward heat transport in the surface boundary layer, which can develop and/or enhance rainfall in urban districts. Several urban districts in Osaka, Japan characterized by diverse LCZs and building arrangements were selected as the computational domains. Analyses of the characteristics of turbulent flows and upward heat transport showed that the vertical profiles of wind and upward heat flux in the districts were similar if the LCZ categories were the same but exhibited various characteristics if the LCZ categories were different. The vertically integrated upward heat flux in the surface boundary layer differed by a factor of 2.6 among the different LCZ categories. Building arrangement parameters such as maximum and average building height, building height variability, and building density exhibited linear relationships with the vertically integrated upward heat flux, with correlation coefficients of approximately 0.9 for maximum and average building height and building height variability. This study suggests that assigning heat flux values based on building arrangement in urban areas is essential for accurately quantifying the influence of urban environments when simulating mesoscale phenomena such as local heavy rainfall with meteorological models.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102441"},"PeriodicalIF":6.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923665","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 hybrid machine learning-based past performance and envelope approach for rainfall projection in Sarawak, Malaysia 基于混合机器学习的过去表现和包络线方法在马来西亚沙捞越的降雨预测

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-08 DOI: 10.1016/j.uclim.2025.102442

Zulfaqar Sa'adi , Shamsuddin Shahid , Mohammed Sanusi Shiru , Kamal Ahmed , Mahiuddin Alamgir , Mohamad Rajab Houmsi , Lama Nasrallah Houmsi , Zainura Zainon Noor , Muhammad Wafiy Adli Ramli

{"title":"A hybrid machine learning-based past performance and envelope approach for rainfall projection in Sarawak, Malaysia","authors":"Zulfaqar Sa'adi , Shamsuddin Shahid , Mohammed Sanusi Shiru , Kamal Ahmed , Mahiuddin Alamgir , Mohamad Rajab Houmsi , Lama Nasrallah Houmsi , Zainura Zainon Noor , Muhammad Wafiy Adli Ramli","doi":"10.1016/j.uclim.2025.102442","DOIUrl":"10.1016/j.uclim.2025.102442","url":null,"abstract":"<div><div>This study assesses historical and future rainfall patterns in Sarawak's diverse ecology by using a novel hybrid machine learning-based past-performance and envelope approaches to select the most suitable global climate models (GCMs) for climate projections. Additionally, a non-local Model Output Statistics (MOS) approach is introduced for climate downscaling, enhancing the precision of localized projections. A frequency-based approach identified the optimal GCMs (HadGEM2-AO, HadGEM2-ES, CCSM4, and CESM1-CAM5), effectively refining the selection of models required for accurate and reliable rainfall projections. The Support Vector Machine (SVM)-based downscaling models developed were able to replicate historical rainfall with a mean error below 50 mm/month. Seasonal changes were most pronounced in January, with increases ranging from 1.8 % to 32.9 %, except in December under RCP8.5 during 2040–2069, which showed the highest increase of 9.0 %. The most notable rainfall decrease occurred in July, ranging from −16.4 % to −38.9 %. Increased rainfall during the peak months of the Northeast Monsoon (NEM) indicates a heightened concentration of rainfall, which could contribute to more frequent hydro-climatological extremes. Conversely, decreased rainfall is projected for other NEM months (February, March, November) as well as throughout April to October, suggesting an increased likelihood of prolonged dry periods during the Southwest Monsoon (SWM) in the future. These findings underscore the importance of the study's hybrid machine learning-driven GCM selection and non-local MOS downscaling method in improving rainfall projections for Sarawak, providing high-resolution data to support government climate resilience efforts and policy development.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102442"},"PeriodicalIF":6.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923610","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

Identifying the effect of architecture morphology on wind fields and PM2.5 dispersion at the urban block scale via a combined scheme 通过组合方案确定建筑形态对城市街区尺度风场和PM2.5扩散的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-06 DOI: 10.1016/j.uclim.2025.102443

Bin Guo , Lu Li , Xiaowei Zhu , Zheng Wang , Miaoyi Chen , Lin Pei , Tengyue Guo

{"title":"Identifying the effect of architecture morphology on wind fields and PM2.5 dispersion at the urban block scale via a combined scheme","authors":"Bin Guo , Lu Li , Xiaowei Zhu , Zheng Wang , Miaoyi Chen , Lin Pei , Tengyue Guo","doi":"10.1016/j.uclim.2025.102443","DOIUrl":"10.1016/j.uclim.2025.102443","url":null,"abstract":"<div><div>This study explores the potential of architecture morphology to mitigate PM<sub>2.5</sub> pollution through enhanced urban ventilation. Despite the recognized influence of building designs on wind and air pollution distribution at the urban block scale, specific mechanisms remain poorly understood. To address this gap, we have developed an integrative approach combining in-situ observations, Geographic Information System (GIS), Remote Sensing (RS), Computational Fluid Dynamics (CFD), and statistical modeling. Here, CFD simulates the flow field and PM<sub>2.5</sub> dispersion, using in-situ observations for turbulence model selection. GIS quantify architecture morphology parameters to establish accurate CFD boundary conditions, ensuring simulations reflect real-world conditions and precise architectural impacts on air quality. In addition, statistical models and controlled experiments are adopted to detect the influence of architecture morphology on wind fields and PM<sub>2.5</sub> dispersion. Our findings reveal that increased Floor Area Ratio (FAR) tends to create stagnant wind areas behind structures, reducing air circulation and trapping pollutants. Higher Building Density (BD) correlates with expanded zones of low wind speed, which further contributes to PM<sub>2.5</sub> accumulation. In contrast, promoting open spaces and reducing architectural density can significantly enhance ventilation at the block level, facilitating pollutant dispersal. This research not only underscores the importance of architectural planning in pollution control but also offers practical guidelines for urban design aimed at fostering sustainable cities and communities.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102443"},"PeriodicalIF":6.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911965","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

Whole process assessment of flood resilience in urban and rural communities based on nighttime lights: A case study of Zhuozhou flood 基于夜间灯光的城乡社区抗洪能力全过程评价——以涿州洪水为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-04 DOI: 10.1016/j.uclim.2025.102438

Yuxin Hu, Yiming Liu, Hui Zeng

{"title":"Whole process assessment of flood resilience in urban and rural communities based on nighttime lights: A case study of Zhuozhou flood","authors":"Yuxin Hu, Yiming Liu, Hui Zeng","doi":"10.1016/j.uclim.2025.102438","DOIUrl":"10.1016/j.uclim.2025.102438","url":null,"abstract":"<div><div>Urban and rural communities are facing an increasingly severe risk of climate-related disasters, which underscores the urgency of enhancing their resilience to disasters. Existing research on climate disaster resilience faces issues such as difficulty in data acquisition and insufficient quantification in assessment methods. This study utilized the nighttime light (NTL) data to monitor the disturbance and recovery of socioeconomic activities during the flood event in Zhuozhou in July 2023(“23.7” flood). Based on the system function curve, a quantitative resilience assessment index was calculated using the temporal change characteristics of the NTL data. Factors that potentially influence resilience were explored by Geodetector. The findings indicate that the urban core areas were most severely affected by the flood. Although the recovery speed in the urban core areas was faster, the rural areas demonstrated stronger resilience than the urban core areas. Flood resilience in community is predominantly influenced by the degree of vegetation coverage and road density, succeeded by settlement density, GDP and population density. The approach proposed in this research enables resilience assessment of the whole disaster process. The outcomes can help Zhuozhou to formulate targeted flood control policies for urban and rural communities, and can also provide reference for research on flood resilience.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102438"},"PeriodicalIF":6.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904323","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

Decoding the spatiotemporal dynamics and driving mechanisms of ecological resilience in the Beijing-Tianjin-Hebei urban agglomeration: A deep learning approach 基于深度学习的京津冀城市群生态弹性时空动态及驱动机制研究

IF 6 2区工程技术

Urban Climate Pub Date : 2025-05-02 DOI: 10.1016/j.uclim.2025.102436

Fengliang Tang , Peng Zeng , Yuanyuan Guo , Yingning Shen , Lei Wang , Kaixin Liu , Longhao Zhang

{"title":"Decoding the spatiotemporal dynamics and driving mechanisms of ecological resilience in the Beijing-Tianjin-Hebei urban agglomeration: A deep learning approach","authors":"Fengliang Tang , Peng Zeng , Yuanyuan Guo , Yingning Shen , Lei Wang , Kaixin Liu , Longhao Zhang","doi":"10.1016/j.uclim.2025.102436","DOIUrl":"10.1016/j.uclim.2025.102436","url":null,"abstract":"<div><div>Urban agglomerations face escalating ecological challenges due to rapid urbanization and climate change, yet the dynamic spatiotemporal patterns and drivers of ecological resilience remain underexplored. This study examines the ecological resilience of the Beijing-Tianjin-Hebei (BTH) region from 2010 to 2020, integrating a deep learning approach using the Transformer-based TSAR-SHAP model with spatiotemporal analysis of a 1 km × 1 km grid dataset. Ecological resilience is assessed from morphology, density, and coordination dimension, alongside socio-economic, environmental, and climatic factors. The findings reveal a marked decline in ecological resilience levels between 2010 and 2015, particularly in urban cores like Beijing and Tianjin, driven by urban sprawl, PM2.5 pollution, and CO₂ emissions. A partial recovery from 2015 to 2020 reflects the positive impact of coordinated environmental policies, including air pollution control and ecological restoration initiatives. Spatially, urban centers exhibited persistent ecological stress due to high population density and built-up area expansion, while rural areas in northern Hebei displayed higher resilience supported by natural ecosystems and favorable climatic conditions. The TSAR-SHAP model captured the temporal shift from anthropogenic to climatic drivers and revealed significant spatial heterogeneity. These findings highlight the need for spatiotemporal differentiated strategies to balance urban growth with ecological preservation and provide actionable insights for sustainable regional development in rapidly urbanizing areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102436"},"PeriodicalIF":6.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894923","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

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