Urban Climate最新文献_第5页

Construction of a nested cold island network based on multiple urban scales: A study in Nanchang, China 基于多城市尺度的巢式冷岛网络构建——以南昌为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-30 DOI: 10.1016/j.uclim.2025.102526

Junqi Wang , Song Yang , Linghua Duo , Xiao Liu , Bao-Jie He

{"title":"Construction of a nested cold island network based on multiple urban scales: A study in Nanchang, China","authors":"Junqi Wang , Song Yang , Linghua Duo , Xiao Liu , Bao-Jie He","doi":"10.1016/j.uclim.2025.102526","DOIUrl":"10.1016/j.uclim.2025.102526","url":null,"abstract":"<div><div>Mitigating heat islands is a critical issue for many cities to improve urban environmental quality. Variations in topography, urban development patterns, and thermal environmental characteristics across different spatial scales lead to scale-dependent heat islands. The mitigation effects of various factors on urban thermal environments are also dependent on scales. However, existing studies on the construction of cold island networks have not adequately addressed the factor differences with scales. Therefore, this study used the random forest algorithm to explore the impact of various influencing factors on the urban thermal environment of Nanchang, China, across different spatial scales. Additionally, a multi-scale collaborative nested cold island network was constructed using the Morphological Spatial Pattern Analysis (MSPA). The results verified that the dependence of influencing factors with urban scale, especially regarding elevation and building index. In the nested analysis of the multi-scale cold island network, 13 cooling sources were identified, covering a total area of 40.707 km<sup>2</sup>, of which 9 sources exceed 1 km<sup>2</sup>. Moreover, 15 segments of nested cooling corridors were identified, totaling 21.275 km. The nested cooling sources and corridors are capable of exerting cold island effects across different scales and should be prioritized for protection. Overall, the construction of the nested cold island network promotes the understanding in developing cooling strategies from a multi-scale perspective and valuable insights into heat island mitigation.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102526"},"PeriodicalIF":6.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513563","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 urban green space improve carbon emission performance? Double test based on efficiency and spatial economics 城市绿地能否改善碳排放绩效？基于效率和空间经济学的双重检验

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-30 DOI: 10.1016/j.uclim.2025.102513

Jing Li , Chengyu Li , Yulin Lu

{"title":"Can urban green space improve carbon emission performance? Double test based on efficiency and spatial economics","authors":"Jing Li , Chengyu Li , Yulin Lu","doi":"10.1016/j.uclim.2025.102513","DOIUrl":"10.1016/j.uclim.2025.102513","url":null,"abstract":"<div><div>At present, the great potential of urban green space (UGS) in adapting to climate change and promoting low-carbon development of society has been underestimated. This study introduces a two-dimensional evaluation framework that assesses the role of UGS in improving carbon emission performance (CEP) from an efficiency perspective and analyzes its spatial effects on CEP from a spatial economics perspective. Using panel data from 282 Chinese cities from 2006 to 2021, this study first compares traditional carbon emission performance (CEP-T) with CEP considering green space (CEP-G) using the Epsilon-based measure model with undesirable outputs (UN-EBM). It then explores the direct effect and spatial spillover effect of UGS on CEP-T through the Spatial Durbin Model (SDM). The results show that: (1) In terms of the efficiency dimension, UGS can effectively improve CEP at the national, regional, and city levels. CEP improved more strongly at the city level than at the regional and national levels, with 280 cities improving their CEP, and southern cities improving more than northern regions. (2) In terms of the spatial economics dimension, UGS can have a positive impact on local CEP improvement. At the same time, UGS also has a spatial spillover effect, transcending urban boundaries to improve the CEP of neighboring areas. In addition, there is heterogeneity in the improvement of UGS on CEP, with stronger effects in the south and weaker effects in the north. These findings provide important implications for policymakers to enhance low-carbon development and address climate change through UGS.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102513"},"PeriodicalIF":6.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513562","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

Impact of trees on thermal comfort in adjacent park and neighborhood in hot-humid climate: A CFD study 湿热气候下树木对邻近公园及社区热舒适影响的CFD研究

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-28 DOI: 10.1016/j.uclim.2025.102519

Clément Nevers , Jan Carmeliet , Aytaç Kubilay , Dominique Derome

{"title":"Impact of trees on thermal comfort in adjacent park and neighborhood in hot-humid climate: A CFD study","authors":"Clément Nevers , Jan Carmeliet , Aytaç Kubilay , Dominique Derome","doi":"10.1016/j.uclim.2025.102519","DOIUrl":"10.1016/j.uclim.2025.102519","url":null,"abstract":"<div><div>We study the interactions between a park and a residential neighborhood in Singapore with high-fidelity microclimate simulations using Computational Fluid Dynamics (CFD). We reveal the broader spatial influence of trees, with cooling effects extending over distances of up to 100 m, though occasionally accompanied by unintended warming zones. Multifaceted effects of trees include the immediate, localized cooling effect in the planted zone, primarily driven by shading, and a variety of non-local effects influenced by air temperature, relative humidity, and wind speed. Results for this case study reveal that trees can significantly reduce values of the Universal Thermal Climate Index (UTCI), improving thermal comfort levels by up to 10 °C. However, trees can also cause non-local heating effects, increasing UTCI by up to 5 °C in unshaded areas within the park during peak conditions. UTCI reduction mainly comes from the shading effect, as the cooling effect of air temperature reduction is nearly offset by an increase in relative humidity. Wind sheltering caused by trees has a consistent minor negative impact of around +0.5 °C UTCI. We also study the interplay of trees with the presence of open space under lift-up buildings. We show that such nuanced understanding of microclimatic dynamics is essential to correctly plan mitigation strategies within hot-humid climates, emphasizing the importance and need of high-fidelity urban studies.</div><div>These findings underscore the positive and negative impacts of vegetation on urban thermal comfort and highlight the need for advanced heat exposure indices to accurately assess the effectiveness of heat mitigation strategies.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102519"},"PeriodicalIF":6.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502394","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

Optimizing green exposure for summer outdoor thermal comfort in subtropical campus environments: A machine learning approach integrating climatic and physiological factors 在亚热带校园环境中优化夏季室外热舒适的绿色暴露：一种整合气候和生理因素的机器学习方法

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-27 DOI: 10.1016/j.uclim.2025.102518

Xiaohuan Xie , Minghao Liu , Yanxi Yang , Zhonghua Gou

{"title":"Optimizing green exposure for summer outdoor thermal comfort in subtropical campus environments: A machine learning approach integrating climatic and physiological factors","authors":"Xiaohuan Xie , Minghao Liu , Yanxi Yang , Zhonghua Gou","doi":"10.1016/j.uclim.2025.102518","DOIUrl":"10.1016/j.uclim.2025.102518","url":null,"abstract":"<div><div>As urbanization accelerates, optimizing outdoor thermal comfort in subtropical climates becomes critical for enhancing quality of life. This study investigates the role of green space exposure in improving thermal comfort within small-scale subtropical campus environments, using Shenzhen University as a case study. We employed a stratified sampling strategy across 96 locations and 384 surveys, systematically capturing diverse microclimatic conditions and urban morphological features (e.g., vegetation density, building adjacency, surface materials) representative of subtropical campus settings. A machine learning framework integrating the XGBoost algorithm and Shapley (SHAP) value analysis was developed to decode complex interactions between climatic factors (air temperature, wind speed, solar radiation), physiological traits (respiratory rate, BMI), and green exposure metrics (Green View Index, GVI). Results demonstrate that green exposure significantly enhances thermal comfort, with optimal effects observed at GVI levels between 15 % and 56 %, beyond which benefits plateau. Crucially, individuals with lower respiratory rates and BMIs derived greater comfort improvements, particularly under high-temperature, low-wind scenarios. While findings are contextualized to subtropical campus environments—a critical niche for testing green infrastructure integration in high-density regions—the methodology offers a replicable framework for site-specific thermal comfort optimization. The study advances actionable strategies for campus planners, emphasizing context-sensitive green space design to mitigate heat stress. Future work should extend this approach to broader urban typologies, but this research underscores the value of leveraging localized climatic-physiological interactions in subtropical green space planning.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102518"},"PeriodicalIF":6.0,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144488938","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

Investigating the nonlinear relationship between urban morphology and PM2.5 in perspective of urban development zoning 基于城市发展区划的城市形态与PM2.5非线性关系研究

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-26 DOI: 10.1016/j.uclim.2025.102510

Lei Yuan , Suixi Tang , Jianfeng Zhang , Yang Wan , Zhengdong Huang , Meng Tian

{"title":"Investigating the nonlinear relationship between urban morphology and PM2.5 in perspective of urban development zoning","authors":"Lei Yuan , Suixi Tang , Jianfeng Zhang , Yang Wan , Zhengdong Huang , Meng Tian","doi":"10.1016/j.uclim.2025.102510","DOIUrl":"10.1016/j.uclim.2025.102510","url":null,"abstract":"<div><div>PM<sub>2.5</sub> has become one of the most serious environmental and health challenges globally under rapid urbanization. While many studies have demonstrated the significant influence of urban morphology on PM<sub>2.5</sub> distribution, their nonlinear relationships across heterogeneous urban development stages remain underexplored—a knowledge gap that hinders effective PM<sub>2.5</sub> control during urban transitions. This study aims to investigate the nonlinear influence of urban morphology on PM<sub>2.5</sub> from the perspective of urban dynamic development. An urban development zoning framework was developed using K-means clustering based on three key dimensions of built-up intensity, urban vitality and ecological landscapes. The random forest model was utilized to explore relative importance and marginal effects of urban morphology indicators on PM<sub>2.5</sub>. The results showed that both building morphology and streetscape indicators significantly influence PM<sub>2.5</sub> distribution, but their importance and marginal impacts differ across urban development zones. The ecological priority and urban fringe zone (Z1) should focus on building height (BH) and building view factor (BVF). In the urban renewal zone (Z2) and the priority development zone (Z4), controlling the standard deviation of building volume density (SDBVD) is prioritized. In the balanced development zone (Z3) and the urban core zone (Z5), building height-related indicators such as BH and standard deviation of building height (SDBH) require attention. The findings not only contribute to the understanding of how urban morphology influences PM<sub>2.5</sub> distribution, but also provide practical evidence for optimizing urban design to improve air quality and support sustainable development.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102510"},"PeriodicalIF":6.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480106","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

Mean wind speed profile parameterisation over an urban canopy with building height variability 随建筑高度变化的城市顶棚平均风速廓线参数化

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-26 DOI: 10.1016/j.uclim.2025.102469

Keisuke Nakao, Lewis Blunn, Hideki Kikumoto, Hiroshi Takimoto, Sue Grimmond, Hongyuan Jia, Xiang Wang

{"title":"Mean wind speed profile parameterisation over an urban canopy with building height variability","authors":"Keisuke Nakao, Lewis Blunn, Hideki Kikumoto, Hiroshi Takimoto, Sue Grimmond, Hongyuan Jia, Xiang Wang","doi":"10.1016/j.uclim.2025.102469","DOIUrl":"10.1016/j.uclim.2025.102469","url":null,"abstract":"<div><div>This study builds a parameterisation strategy for the vertical profile of the horizontal mean wind speed over urban canopies with building height variability (BHV). An intermediate layer (IL) is introduced between the layers deep inside and far above the urban canopies, where exponential (EL) and logarithmic layers (LL) are assumed, respectively. Based on the momentum flux budget, in the IL we propose a linear velocity profile as a simple estimation. Input parameters reflect the BHV geometry (namely the standard deviation and average building height, the highest and lowest building height, and the frontal and plan area indices). Physical parameters such as the bulk drag coefficient and the correction factor for eddy diffusivity in the IL are parametrised using a database containing large eddy simulations (LES) of flows through various random height block arrays covering a wide range of geometries. Our new fully analytical model provides wind speed profiles spanning the top of the surface layer to the ground. There is good agreement to a LES database with realistic urban cases for both mean wind speed and the momentum flux. Analysis of a correction strategy for thermal stratification reveals qualitative consistency with observations in the literature under weakly stable and unstable conditions. This model provides in-canopy wind information, data that are essential for many applications such as estimating thermal sensation at the pedestrian level and evaluating energy consumption in urban agglomerations under changing climate.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102469"},"PeriodicalIF":6.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480107","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

Strategies to mitigate urban heat: Effects on overheating and cloud formation 缓解城市热的策略：对过热和云形成的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-26 DOI: 10.1016/j.uclim.2025.102514

John F. Mejia , Juan J. Henao , E. Scott Krayenhoff , Alberto Martilli , Andrea Zonato , Timothy Jiang

{"title":"Strategies to mitigate urban heat: Effects on overheating and cloud formation","authors":"John F. Mejia , Juan J. Henao , E. Scott Krayenhoff , Alberto Martilli , Andrea Zonato , Timothy Jiang","doi":"10.1016/j.uclim.2025.102514","DOIUrl":"10.1016/j.uclim.2025.102514","url":null,"abstract":"<div><div>This study assesses the effectiveness of various urban heat mitigation strategies and their broader impacts on cloud dynamics and thermal processes in the Houston-Galveston region. Using high-resolution simulations with the WRF model coupled with the BEP + BEM scheme and Local Climate Zones (LCZs), we modeled multiple interventions that are included in climate adaptation plans, including green roofs, solar panels, enhanced irrigation, cool roofs and roads, and urban street trees. We compared these scenarios to a current baseline, a no-city case, and a future urban expansion projection for 2045. Results indicate that during the day, cool roofs and roads, and green roofs are most effective at reducing surface air temperatures and heat index, while nighttime cooling is driven primarily by enhanced irrigation. These interventions also decrease daytime sensible heat flux, weakening urban-induced uplift and suppressing shallow cumulus cloud formation. Interestingly, reductions in urban cloudiness were more sensitive to declines in sensible heating than increases in latent heat, meaning even strategies with higher evapotranspiration still led to cloud suppression. Tree scenarios, especially the BEP-Tree model, which incorporates shading, wind drag, and stomatal conductance, showed minimal cooling or cloud impact in this moist climate. Net cooling effects were shaped by indirect atmospheric feedbacks: reduced cloud cover lowered downwelling longwave radiation, enhancing surface cooling, but this was partially offset by increased incoming shortwave radiation. Additionally, weakened thermal gradients and vertical mixing over urban areas further moderated cooling potential. These findings underscore the complex interplay between surface interventions and atmospheric processes and highlight the importance of accounting for cloud dynamics and boundary layer feedbacks when assessing the impact of urban heat mitigation strategies.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102514"},"PeriodicalIF":6.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480057","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

Wind tunnel experiments on the aerodynamic effects of a single potted tree: Hot-wire anemometry and PIV measurements 单株盆栽树空气动力效应的风洞实验：热线风速测量和PIV测量

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-25 DOI: 10.1016/j.uclim.2025.102520

Ruibin Li , Jianlei Niu , Yi Zhao , Liangzhu (Leon) Wang , Xing Shi , Naiping Gao

{"title":"Wind tunnel experiments on the aerodynamic effects of a single potted tree: Hot-wire anemometry and PIV measurements","authors":"Ruibin Li , Jianlei Niu , Yi Zhao , Liangzhu (Leon) Wang , Xing Shi , Naiping Gao","doi":"10.1016/j.uclim.2025.102520","DOIUrl":"10.1016/j.uclim.2025.102520","url":null,"abstract":"<div><div>Trees play a crucial role in regulating microclimates, with their aerodynamic characteristics significantly influencing their overall environmental effectiveness. While previous research has primarily focused on wind speed attenuation and air temperature regulation, the impact of trees on turbulent kinetic energy (TKE) remains underexplored, with most existing studies relying heavily on numerical simulations. This study conducts wind tunnel experiments using hot-wire anemometry and Particle Image Velocimetry (PIV) to quantitatively assess the aerodynamic effects of trees. Particular attention is given to the wind speed attenuation and airflow disturbance on the windward, lateral, and leeward side of potted trees. The results demonstrate that a higher leaf area index and denser canopy structure substantially increase aerodynamic resistance, leading to maximum wind speed reductions near the potted tree ranging from 74.68 % to 88.54 % under the experimental conditions. Moreover, the geometric complexity of leaf gaps influences TKE distributions on the leeward side of potted trees. As wind speed increases, the flow transitions into a regime dominated by large-scale vortices, reducing the sensitivity of airflow and TKE distributions to wind speed for a given potted tree, indicating Reynolds number (<em>Re</em>) independence. In these experiments, the flow field and TKE distribution stabilize when the <em>Re</em> exceeds 11,500. This study provides high-resolution experimental data on the aerodynamic effects of potted trees, addressing a gap in existing literatures. It elucidates the mechanisms of wind speed attenuation and airflow disturbances induced by potted trees, contributing to a comprehensive understanding of their role in regulating urban wind environments.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102520"},"PeriodicalIF":6.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480056","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

Unveiling the urban form-environment relationship: Assessing the impact of urban shrinkage on carbon productivity in China 揭示城市形态-环境关系：中国城市收缩对碳生产力的影响评估

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-24 DOI: 10.1016/j.uclim.2025.102512

Leshui Zhang , Yanbo Qu , Kaiming Cheng

{"title":"Unveiling the urban form-environment relationship: Assessing the impact of urban shrinkage on carbon productivity in China","authors":"Leshui Zhang , Yanbo Qu , Kaiming Cheng","doi":"10.1016/j.uclim.2025.102512","DOIUrl":"10.1016/j.uclim.2025.102512","url":null,"abstract":"<div><div>Currently, cities globally are experiencing a shrinkage in their urban form, significantly impacting the environment. However, it remains unclear whether this trend is inhibiting or promoting environmental change. Consequently, exploring low-carbon development pathways for cities amidst contraction holds significant practical importance for optimizing the urban thermal environment and fostering sustainable economic growth. Building on a theoretical framework, this study utilizes NPP-VIIRS nighttime light data to identify shrinking cities in China, verifies the nonlinear impact of urban shrinkage on carbon productivity and its transmission mechanism through industrial upgrading. Additionally, it reveals the moderating effects of resource dependence, land finance, and green technology innovation on this transmission process. The findings indicate that the impact of urban shrinkage on carbon productivity exhibits a robust “U” shape with the threshold of 1.557. Resource dependence and land finance dependence intensify the negative influence of urban contraction on industrial upgrading, whereas green technology innovation mitigates the inhibitory effect. Based on these findings, shrinking cities should abandon the mindset of external expansion growth. By breaking path dependence, revitalizing existing spaces, and leveraging technological scale, they can disrupt the vicious cycle of “low efficiency, high heat, and high energy consumption,” ultimately achieving green and low-carbon sustainable growth.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102512"},"PeriodicalIF":6.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366898","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

Enhancing urban resilience against elevation-driven precipitation risks in Indian smart cities 提高印度智慧城市抵御海拔驱动降水风险的能力

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-24 DOI: 10.1016/j.uclim.2025.102516

Shekhar Singh, Vijay Jain, Manish Kumar Goyal

{"title":"Enhancing urban resilience against elevation-driven precipitation risks in Indian smart cities","authors":"Shekhar Singh, Vijay Jain, Manish Kumar Goyal","doi":"10.1016/j.uclim.2025.102516","DOIUrl":"10.1016/j.uclim.2025.102516","url":null,"abstract":"<div><div>Precipitation variability across urban regions in changing climate influences the regional hydrology, increasing flood challenges, and impacts the water availability patterns. In this study, we provide a risk assessment for Indian smart cities with variations in the precipitation amount. In order to quantify the inter-relationship between elevation and precipitation variability using the entropy theory at multiple scales across the homogeneous precipitation zones of India. The study considered precipitation datasets to compute hazards based on the 95th percentile precipitation amounts and their associated inter-annual precipitation variability. Further, in order to assess the risk for smart cities, we correlate hazard with vulnerability to elevation, vulnerable infrastructure, and exposure to population and urban economy. The southern peninsular region observed a maximum value of SVI<sub>ME</sub> in January (0.553) and in the winter season (0.398) for monthly and seasonal scales, respectively. The study revealed that cities at lower elevations and near coastal regions across the Southern Peninsular, North West, and West Central observed extreme risk due to the inconsistencies in the extreme precipitation. Chennai, Kavaratti, and Kochi cities in the southern peninsular region observed extreme risk among all the cities annually. The study observed inverse relationships between inter-annual precipitation amount variability and elevation. Therefore, the study suggests the implementation of an integrated climate-adaptive infrastructure plan into city expansion projects. This study further assists scientists, researchers, and stakeholders in minimizing the risk associated with regional water resources planning and management and climate extremes.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102516"},"PeriodicalIF":6.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366900","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