Urban Climate最新文献_第4页

Enhancing citizen climate resilience identification: A customization methodology to tailor comfort metrics to individual preferences 加强公民气候适应能力识别：根据个人偏好定制舒适度指标的定制方法

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-14 DOI: 10.1016/j.uclim.2025.102484

Teresa Palomo Amores , MCarmen Guerrero Delgado , José Sánchez Ramos , Daniel Castro Medina , Paz Montero-Gutiérrez , Servando Álvarez Domínguez

{"title":"Enhancing citizen climate resilience identification: A customization methodology to tailor comfort metrics to individual preferences","authors":"Teresa Palomo Amores , MCarmen Guerrero Delgado , José Sánchez Ramos , Daniel Castro Medina , Paz Montero-Gutiérrez , Servando Álvarez Domínguez","doi":"10.1016/j.uclim.2025.102484","DOIUrl":"10.1016/j.uclim.2025.102484","url":null,"abstract":"<div><div>Occupants' adaptability varies based on the climate. Therefore, adaptation measures should be adapted not only to suit the climate but also to the occupants. A holistic methodology is proposed to customise comfort index by adjusting them to the specific preferences of the occupants. The methodology involves collecting subjective and objective data. A measurement procedure is designed to gather comprehensive information, including a low-cost effective procedure to disaggregate the Mean Radiant Temperature between long and short-wavelength effects, essential for outdoor comfort. This customisation is applied to the COMFA index in different real cases. The results show that children in relaxed environments demonstrate 50 % higher resilience than the standard scale, while adults can tolerate 30 % higher thermal loads than the standard when resting. Furthermore, under identical circumstances, children exhibit 8 % greater resilience than adults. Conversely, radiant exchange decomposition indicates that a 30 % augmentation in the short wavelength effect is associated with a 45 % increase in the occupant's thermal load. This methodology facilitates the identification of measures to achieve optimal levels of comfort adapted to the occupants in any climate and area under study. It also contributes to the promotion of urban design and planning that enhances the resilience of citizens.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102484"},"PeriodicalIF":6.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281189","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

The formation characteristics of nitrous acid (HONO) in a central Chinese city: A novel insight from various pollution types 中国中部城市亚硝酸（HONO）的形成特征：来自不同污染类型的新见解

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-13 DOI: 10.1016/j.uclim.2025.102478

Nan Jiang , Naibing Liang , Ruixin Xu , Ningbo Geng , Yunfei Wei , Ruiqin Zhang

{"title":"The formation characteristics of nitrous acid (HONO) in a central Chinese city: A novel insight from various pollution types","authors":"Nan Jiang , Naibing Liang , Ruixin Xu , Ningbo Geng , Yunfei Wei , Ruiqin Zhang","doi":"10.1016/j.uclim.2025.102478","DOIUrl":"10.1016/j.uclim.2025.102478","url":null,"abstract":"<div><div>Nitrous acid (HONO) is an essential precursor for hydroxyl radical (<strong>·</strong>OH), exerting a significant impact on atmospheric oxidation chemistry. This study examined the contaminative properties and main sources of HONO across four distinct pollution categories, including a non-pollution period (Period I), a haze pollution period (Period II), an ozone pollution period (Period III) and a double high pollution period (Period IV). Nighttime HONO levels were predominantly driven by the heterogeneous transformation of NO₂ into HONO, with higher reaction rates (C<sub>HONO</sub>) during Period IV (3.5 × 10<sup>−2</sup> h<sup>−1</sup>) and Period II (3.3 × 10<sup>−2</sup> h<sup>−1</sup>) compared to Period I and Period III (2.0 × 10<sup>−2</sup> h<sup>−1</sup>). This indicates that elevated PM<sub>2.5</sub> and NO₂ concentrations enhance HONO production, while automobile exhaust and NO homogeneous reactions had limited influence on nighttime HONO formation. Daytime HONO budget analysis revealed that the unknown source emissions (P<sub>unknown</sub>) were substantially higher during Period IV (1.21 ppb h<sup>−1</sup>) than in Period II (0.77 ppb h<sup>−1</sup>) and Period III (0.57 ppb h<sup>−1</sup>). Specifically, P<sub>unknown</sub> demonstrated a more pronounced positive correlation with relative humidity (RH) (R<sup>2</sup> = 0.66) and NH<sub>3</sub> (R<sup>2</sup> = 0.55) during Period IV. Peak P<sub>unknown</sub> values coincided with warmer daytime periods, when NH₃ emissions and gas-phase HONO formation intensified, enhancing atmospheric oxidation capacity and exacerbating air pollution. The study enhanced the understanding on the pollution characteristics of HONO, which supported the development of targeted policies in the Central Plains Economic Region.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102478"},"PeriodicalIF":6.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272250","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

Towards climate-responsive communities: Exploring the nonlinear relationship between residential morphology and land surface temperature 走向气候响应型社区：探索居住形态与地表温度的非线性关系

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-13 DOI: 10.1016/j.uclim.2025.102500

Tianzheng Ma , Cheng-Chen Chen , Fei Yu , Guang Chen

{"title":"Towards climate-responsive communities: Exploring the nonlinear relationship between residential morphology and land surface temperature","authors":"Tianzheng Ma , Cheng-Chen Chen , Fei Yu , Guang Chen","doi":"10.1016/j.uclim.2025.102500","DOIUrl":"10.1016/j.uclim.2025.102500","url":null,"abstract":"<div><div>Residential morphology strongly influences urban thermal environments, especially under extreme summer heat that amplifies urban heat island effects. However, the ways morphological factors produce nonlinear impacts on land surface temperature (LST) remain less understood. Nonlinear relationships refer to disproportionate or threshold-based changes in LST in response to variations in morphological indicators. This study analyzes 857 residential areas within Beijing's Fifth Ring Road using summer LST from Landsat 9 and 14 morphological indicators derived from OpenStreetMap and AOI data. A LightGBM model combined with SHAP values quantifies indicator importance and reveals nonlinear response patterns. The findings indicate a “warmer inside, cooler outside” spatial distribution pattern of residential LST across the study area. Among residential types, LST levels rank as Enclosed > Hybrid > Row > Point group. Building construction shows the highest influence on LST, followed by scale and location, natural environment, and development intensity. Key morphological indicators include building height, green space ratio, surrounding land surface temperature, and building spacing. The analysis reveals a nonlinear relationship between residential morphology and thermal environments, with threshold effects or inflection points observed in the influence curves. By identifying these nonlinear relationships and key indicators, the study offers a scientific basis for targeted planning strategies to enhance thermal comfort and promote sustainable residential environments.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102500"},"PeriodicalIF":6.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281190","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

Influence of urbanization on pre-monsoon precipitation driven by southeastward-advancing synoptic shear line over South China 城市化对东南推进的华南天气切变线驱动的季风前降水的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-12 DOI: 10.1016/j.uclim.2025.102495

Xiaoyan Sun , Xiaoling Jiang , Yali Luo , Haiming Xu , Haishan Chen , Yao Yao , Fei Chen

{"title":"Influence of urbanization on pre-monsoon precipitation driven by southeastward-advancing synoptic shear line over South China","authors":"Xiaoyan Sun , Xiaoling Jiang , Yali Luo , Haiming Xu , Haishan Chen , Yao Yao , Fei Chen","doi":"10.1016/j.uclim.2025.102495","DOIUrl":"10.1016/j.uclim.2025.102495","url":null,"abstract":"<div><div>Twelve precipitation events over the Pearl River Delta (PRD) in South China, occurring with low-level southeastward-moving shear lines prior to the monsoon onset over the South China Sea, were identified and analyzed using multiple observations. The impacts of the PRD urban agglomeration on precipitation were investigated using convection-permitting ensemble simulations with the WRF model. These simulations incorporated the synoptic background averaged over the twelve events and compared scenarios with and without the cities in the PRD. Results reveal that these events are characterized by prevailing westerly flows in the mid-troposphere and low-level southwesterly flows south of the shear lines, which transport air with high equivalent potential temperature to the PRD. Accumulated precipitation from 0600 local solar time (LST) to 0000 LST (+1d) is predominantly located to the north of the city cluster and near its northeastern border. Simulations indicate that the existence of urban heat islands (UHI) in megacities significantly enhances downstream convection initiation and precipitation along the northeastern urban boundaries. This UHI-induced local convection, combined with urban dynamic effects, hinders further inland transport of warm, moist air by impeding low-level southwesterly flows and depleting moisture resources. Consequently, the shear line-associated precipitation north of the urban cluster is reduced.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102495"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263649","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

Street-level surface and air temperatures in the Urban Center of Málaga, Spain 西班牙Málaga城市中心的街道地面和空气温度

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-06-10 DOI: 10.1016/j.uclim.2025.102490

Daniel Jato-Espino, Francisco Tomatis, Giulia Forestieri, Monica Pena

{"title":"Street-level surface and air temperatures in the Urban Center of Málaga, Spain","authors":"Daniel Jato-Espino, Francisco Tomatis, Giulia Forestieri, Monica Pena","doi":"10.1016/j.uclim.2025.102490","DOIUrl":"https://doi.org/10.1016/j.uclim.2025.102490","url":null,"abstract":"Increasing urbanization is leading to rising temperatures in cities, especially in their central areas, where artificial covers, street canyons and human-induced heat release are more common. This urban microclimate is especially critical in historical centers, as the protection of these areas' cultural assets hinders the introduction of adaptation measures. In this context, this study developed a methodology to characterize the microclimate in historical city centers, using the Mediterranean city of Málaga in southern Spain as a paradigmatic case study. To this end, field measurements were carried out by using a bicycle mobile station and a handheld thermal imaging camera along the so-called Picassian route, covering eleven different streets and eight historical buildings (eleven façades) where air and surface temperatures were collected. The results showed significant differences in the values of air and surface temperatures, so studies of urban microclimate should consider both types of temperatures together, and especially the temperature of building façades, which is often ignored due to the lack of open data about it but has notable different patterns. An analysis of the relationship between field data and a range of spatial factors related to the morphology and surface artificiality of urban areas revealed that shading and tree planting might provide a solution to heat mitigation. For historical centers with important space constraints, these solutions may consist of installing awnings and green façades.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"623 1","pages":"102490"},"PeriodicalIF":6.4,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290042","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 April and May, 2024 extreme precipitation on flooding in Rio Grande do Sul, Brazil 2024年4月和5月极端降水对巴西南巴西大德州洪水的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-01 DOI: 10.1016/j.uclim.2025.102487

João Batista Ferreira Neto , Mariana Santos Freitas , Pablo Sergio Marques Simões , Gabriel Pereira , Heloisa Silva Leão , Ana Vitória Vilela Calmon , Björn Gücker

{"title":"Impact of April and May, 2024 extreme precipitation on flooding in Rio Grande do Sul, Brazil","authors":"João Batista Ferreira Neto , Mariana Santos Freitas , Pablo Sergio Marques Simões , Gabriel Pereira , Heloisa Silva Leão , Ana Vitória Vilela Calmon , Björn Gücker","doi":"10.1016/j.uclim.2025.102487","DOIUrl":"10.1016/j.uclim.2025.102487","url":null,"abstract":"<div><div>Floods and extreme precipitation events, intensified by climate change, have significantly impacted unadapted populations and natural systems. This study aims to analyze the effects of the extreme precipitation event in April and May 2024 on the eastern basins of Rio Grande do Sul, Brazil. Using the Normalized Difference Water Index (NDWI) on Sentinel satellite images, ERA5 daily reanalysis data, GOES synoptic imagery, and MapBiomas land use data, we mapped flooded areas, quantified precipitation, and identified atmospheric phenomena. The results indicate that atmospheric factors, such as low-level jets and atmospheric blocking, intensified regional precipitation. However, unplanned land occupation amplified the impact, exacerbating floods. A total of 10,744 km<sup>2</sup> was flooded, marking the highest precipitation extreme recorded. The findings highlight the significant role of human activities in increasing flood risks, emphasizing the need for improved land use planning and comprehensive risk management strategies to mitigate future extreme events. Integrating climate considerations into land use planning is crucial for building resilience and sustainability in vulnerable regions.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102487"},"PeriodicalIF":6.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212601","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

Hydrological connectivity creates additional cooling effects for urban wetland complexes 水文连通性为城市湿地综合体创造了额外的冷却效果

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-01 DOI: 10.1016/j.uclim.2025.102470

Wenwen Xie , Hao Yang , Peng Luo , Honglin Li , Shijun Zhang , Yu Huang , Yue Cheng , Ming Ni , Sujuan Wu , Haoyu Yang

{"title":"Hydrological connectivity creates additional cooling effects for urban wetland complexes","authors":"Wenwen Xie , Hao Yang , Peng Luo , Honglin Li , Shijun Zhang , Yu Huang , Yue Cheng , Ming Ni , Sujuan Wu , Haoyu Yang","doi":"10.1016/j.uclim.2025.102470","DOIUrl":"10.1016/j.uclim.2025.102470","url":null,"abstract":"<div><div>With respect to urbanization, the use of wetlands to mitigate the urban heat island effect has received increasing attention. Among the many factors affecting the cooling effect of wetlands, hydrological connectivity plays an important role, but how it influences the cooling effect of urban wetlands still remains unclear. In this study, the ENVI-met model was used to simulate the thermal environments and cooling effects of wetlands in Chengdu, Southwest China, and to explore the causes of the cooling effects induced by hydrological connectivity. The results showed that, in the summer daytime, the cooling capacity of hydrologically connected wetlands was significantly better than that of a single large wetland or discrete wetland of equal area, especially during the peak air temperature (15:00–17:00); the additional cooling effect induced by hydrologically connected wetlands reached 0.79 °C under the parallel wind direction and 0.14 °C under the perpendicular wind direction. The additional cooling effect induced by hydrological connectivity was partly due to the ventilation corridor created by connectivity (contribution rate 24 %) and the relatively low temperature effect of the wetland connection (contribution rate 17 %). In the case of limited space in an urban setting, connecting multiple discrete wetlands is a low-cost, nature-based solution (Nbs) for alleviating the heat island effect.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102470"},"PeriodicalIF":6.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203486","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

Air pollution of PM2.5-bound PAHs in urban Chongqing, China from 2015 to 2022: Concentration, source tracking and health risk 2015 - 2022年重庆市城区pm2.5结合多环芳烃污染浓度、来源追踪及健康风险

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-01 DOI: 10.1016/j.uclim.2025.102483

Bofei Fu , Shang Li , Shushu Lan , Xiaowei Peng , Chongjun Ran , Nanyan Li , Hong Li , Lun Xiao , Guohua Zhao , Junrui Chang , Jingxiu Han , Yunyun Wu , Cuilan Fang

{"title":"Air pollution of PM2.5-bound PAHs in urban Chongqing, China from 2015 to 2022: Concentration, source tracking and health risk","authors":"Bofei Fu , Shang Li , Shushu Lan , Xiaowei Peng , Chongjun Ran , Nanyan Li , Hong Li , Lun Xiao , Guohua Zhao , Junrui Chang , Jingxiu Han , Yunyun Wu , Cuilan Fang","doi":"10.1016/j.uclim.2025.102483","DOIUrl":"10.1016/j.uclim.2025.102483","url":null,"abstract":"<div><div>PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons (PAHs) are a major environmental challenge worldwide. In this study, the characteristics, sources, and health risks of PM<sub>2.5</sub>-bounded PAHs and their long-term trends were investigated during the period of 2015–2022 at an urban site in Chongqing, southwest China. The annual average concentration of PM<sub>2.5</sub>, total PAHs and BaPeq significantly decreased during the observation period with slopes of 5.29 μg/m<sup>3</sup>, 1.53 ng/m<sup>3</sup> and 0.59 ng/m<sup>3</sup>, respectively. The air pollution control strategy and COVID-19 control measures were contributed to the reductions in air pollution. High-molecular-weight (HMW) were the dominating species among all PAHs subtypes at 55 %. Traffic emissions/coal combustion, biomass burning and petroleum were the main sources of PAHs in urban Chongqing, with a relative contribution rate of 56 %, 33 % and 11 %, respectively. The lifetime CR during the period of 2015–2022 was 3.61 × 10<sup>−6</sup>, and Mont-Carlo simulation showed that there was a 44.85 % possibility that the overall lifetime cancer risk level exceeds 10<sup>−6</sup>, indicating a potential carcinogenic risk by inhalation exposure to PM<sub>2.5</sub>-bound PAHs and necessitating the development of corresponding control measures in urban Chongqing. This research elucidates the principal sources and compositions of PAHs and the associated health risks, facilitating the development of effective prevention measures to control urban air pollution.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102483"},"PeriodicalIF":6.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230974","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

Driving climate action with the VISUALIZER: A dashboard for transportation emissions data analysis & visualization 使用VISUALIZER驱动气候行动：用于交通排放数据分析和可视化的仪表板

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-01 DOI: 10.1016/j.uclim.2025.102459

Timothy Fraser PhD , H. Oliver Gao PhD

{"title":"Driving climate action with the VISUALIZER: A dashboard for transportation emissions data analysis & visualization","authors":"Timothy Fraser PhD , H. Oliver Gao PhD","doi":"10.1016/j.uclim.2025.102459","DOIUrl":"10.1016/j.uclim.2025.102459","url":null,"abstract":"<div><div>Transportation emissions pose a significant challenge for climate action, yet decision-makers often lack accessible tools for actionable data and intuitive visualizations. This paper introduces the Climate Action in Transportation (CAT) platform's VISUALIZER, a web application developed by Cornell University researchers to streamline emissions quantification and visualization in transportation. By integrating the Environmental Protection Agency's MOVES software with data from Cornell University’s CATSERVER, VISUALIZER provides county and state-level emissions data through a user-friendly interface. Unlike tools for scientists, VISUALIZER addresses the “data communication problem,” offering policymakers a faster, more accessible, and credible platform for assessing impacts of transportation on emissions. We introduce VISUALIZER's system architecture with case studies of New York counties. Decision-makers can generate maps, line charts, pie charts, and statistics to inform local climate strategies. VISUALIZER empowers decision-makers to craft effective state and federal climate actions, highlighting how accessible data technology can help combat climate change.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102459"},"PeriodicalIF":6.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262528","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

Spatial-temporal modeling for urban climate: Enhancing energy prediction with global temporal convolutional attention networks 城市气候的时空建模：利用全球时间卷积关注网络增强能量预测

IF 6 2区工程技术

Urban Climate Pub Date : 2025-06-01 DOI: 10.1016/j.uclim.2025.102413

Yang Lin, Hoon Han, Christopher Pettit

{"title":"Spatial-temporal modeling for urban climate: Enhancing energy prediction with global temporal convolutional attention networks","authors":"Yang Lin, Hoon Han, Christopher Pettit","doi":"10.1016/j.uclim.2025.102413","DOIUrl":"10.1016/j.uclim.2025.102413","url":null,"abstract":"<div><div>Urban climate challenges and the growing significance of spatial-temporal big data have led to extensive exploration of integrating smart grids and renewable energy sources, such as solar electricity, in urban environments. Ensuring the stability and resilience of these systems is paramount, and accurately forecasting electrical energy demand and supply is a crucial element in achieving this objective. Temporal Convolutional Neural Networks (TCNN) have recently emerged as a promising method for spatial-temporal modeling. To further improve the accuracy and temporal modeling effectiveness of TCNN, the Temporal Convolutional Attention Neural Network (TCAN) was developed, enhancing the receptive field coverage of TCNNs. However, TCAN has a limitation in that it cannot effectively utilize earlier input time steps for later predictions in multi-step autoregressive forecasting, which constrains its application in electricity series forecasting. In this work, novel deep learning models, GTCAN-P and GTCAN-M, based on spatial-temporal big data are introduced to further improve TCAN. The models allow the network to access all past time steps by employing padding and masking mechanisms, respectively. The effectiveness of the proposed methods was evaluated on real-world electricity datasets, including two building energy consumption datasets and three solar power generation datasets, and compared with statistical models and state-of-the-art deep learning models. The results demonstrate the potential of GTCAN-P and GTCAN-M to address the limitations of TCAN and provide more accurate forecasting of electricity demand and supply in urban energy management scenarios.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102413"},"PeriodicalIF":6.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241302","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