{"title":"Diurnal variations in cooling effects of urban parks based on ECOSTRESS data: A case study of Beijing","authors":"Zhitao Wei, Jia Liu, Xing Gao, Yuming Wu, Zihang Liu, Jiaye Yao","doi":"10.1016/j.uclim.2024.102229","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102229","url":null,"abstract":"Urban parks create cooler microclimates, mitigating urban heat island effects, but diurnal variations in cooling remain unclear. We analyzed 97 parks within Beijing's fifth ring road using ECOSTRESS land surface temperature data to assess cooling from both maximum and cumulative perspectives. Results show that park cooling is stronger during the daytime, with the maximum median cooling area and efficiency at 51.50 ha and 3.56, respectively, compared to the nighttime minimum values of 30.21 ha and 1.97. Cumulative cooling is highest in the early afternoon (intensity 0.011, gradient 0.50 °C) and lowest at night (intensity 0.005, gradient 0.10 °C). Dominant factors influencing daytime cooling are park area, shape index, and blue-green landscapes. Specifically, park area is positively correlated with the cooling area, while water index is positively correlated with cumulative cooling indicators, and the impact of shape and vegetation indices on cooling is unstable. At night, landscape design has little effect, and poorly designed water bodies may cause warming; park area becomes the key factor, positively associated with both cooling area and cumulative cooling. The threshold for cooling efficiency in Beijing is 24 ha during the day, increasing to 29 ha at night. These findings provide valuable insights for sustainable urban park planning.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"122 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782356","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}
Urban ClimatePub Date : 2024-12-04DOI: 10.1016/j.uclim.2024.102218
Maxime Frere, Martin Hendel, Julien Van Rompu, Simon Pouget, Laurent Royon
{"title":"Pervious asphalt pavement- and concrete wall-watering for urban cooling: Characterization of surface cooling effects at an outdoor test site","authors":"Maxime Frere, Martin Hendel, Julien Van Rompu, Simon Pouget, Laurent Royon","doi":"10.1016/j.uclim.2024.102218","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102218","url":null,"abstract":"Pervious pavement- and wall-watering was studied at a 100 m<ce:sup loc=\"post\">2</ce:sup> pilot site in Hy'eres (France). Surface temperature monitoring was conducted continuously with an infrared camera to assess watering's cooling effects and duration as well surface drying time for the concrete fa¸cade and the pervious pavement. Watering was conducted every hour for 15 min from 8 am to 6 pm in summer 2021. Results show up to 14.3 °C surface temperature reductions for pervious pavementwatering, and up to 8.4 °C of cooling for wall-watering applied to a South-facing wall. For shaded surfaces, maximum cooling is limited to 5 °C, whether vertical or horizontal. Between watering cycles, the vertical and impervious wall surface dries in approximately 15 to 20 min. For the pervious pavement, drying time varies along the surface. While certain areas, downstream, don't dry between watering cycles, others dry in 25 to 35 min. These variations depend on the relative height of the considered zone along the pavement slope, as well as the pavement's material and topographical irregularities. Residual cooling effects are observed the following night until the next morning for both pavement- and wall-watering, in the order of 3.5 °C and 1 °C at 6 am, respectively. Results further illustrate the higher efficiency of urban watering solutions for surfaces in direct sunlight.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"19 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782354","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}
Urban ClimatePub Date : 2024-12-02DOI: 10.1016/j.uclim.2024.102227
Junda Huang, Yuncai Wang, Mangmang Wang
{"title":"Three-dimensional landscape features impact on urban surface wind velocity during a heatwave: Relative contribution and marginal effect","authors":"Junda Huang, Yuncai Wang, Mangmang Wang","doi":"10.1016/j.uclim.2024.102227","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102227","url":null,"abstract":"Accelerating the flow of surface air through urban areas at a faster rate is one of the important nature-based solutions for reducing the threat of urban overheating. Previous studies have focused on analyzing the correlation between two-dimensional landscape patterns and sky conditions. However, the relative contribution of three-dimensional (3D) landscape features to urban wind and the marginal effect during a heatwave remain unclear. In this study, the Weather Research and Forecasting (WRF) model was used to simulate the development of the wind field during heat events with weak synoptic wind. The regions were clustered based on land cover characteristics. The impact of 3D landscape features on the wind velocities in each cluster was further explored. Results revealed that ventilation corridors predominantly occurred in the morning, dissipating by midday. Diurnal wind velocities were primarily influenced by Forest Canopy Density (FCD), Building Congestion (BC), and Landscape Shape. Specifically, in suburban areas, the negative effect on surface wind velocities stabilized when BC exceeded 0.12. This phenomenon also occurred when the FCDs were higher than 0.75. Based on these findings, the study proposes urban planning strategies aimed at enhancing natural ventilation in cities, assisting planners in developing sustainable cities with cool winds.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"8 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782365","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}
Urban ClimatePub Date : 2024-12-02DOI: 10.1016/j.uclim.2024.102222
Xiaoping Wang, Zeyan Li, Tris Kee
{"title":"Spatial and temporal correlation between green space landscape pattern and carbon emission—Three major coastal urban agglomerations in China","authors":"Xiaoping Wang, Zeyan Li, Tris Kee","doi":"10.1016/j.uclim.2024.102222","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102222","url":null,"abstract":"Urban green spaces, including parks, gardens, and tree-lined streets, can play a crucial role in mitigating atmospheric CO2 levels. Understanding the distribution and dynamics of these green spaces is essential for their effective incorporation into urban planning to reduce carbon emissions. However, previous literatures have largely overlooked the integration of green space patterns in urban planning, thereby constraining our capacity for effective carbon mitigation. This study utilizes an enhanced Long Short-Term Memory network with a Self-Attention Mechanism to estimate carbon emissions and evaluates the influence of urban green spaces. Results from the Bohai Rim (CBS), the Pearl River Delta (PRD), and the Yangtze River Delta (YRD) reveal spatial clustering of carbon emissions radiating outward from core cities. Additionally, the analysis demonstrates that the number, density, shape complexity, and spatial aggregation of green spaces can significantly impact carbon emissions. Specifically, the quantity and concentration of green spaces help reduce emissions, while greater shape complexity and spatial aggregation tend to have the opposite effect. Based on these findings, the study offers insights for optimizing urban green space planning to support carbon emission reduction strategies.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"79 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782355","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}
Urban ClimatePub Date : 2024-12-02DOI: 10.1016/j.uclim.2024.102224
Duo Chen, Lushi Kong, Jindan Zhang, Chun Fan, Yili Zhang, Bei Li
{"title":"A study on risk perception and adaptive behavior of the Chinese public toward urban heat based on the MPPACC model","authors":"Duo Chen, Lushi Kong, Jindan Zhang, Chun Fan, Yili Zhang, Bei Li","doi":"10.1016/j.uclim.2024.102224","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102224","url":null,"abstract":"In the context of global warming, the interaction between heat waves and urban heat islands has led to an increasing trend in the intensity, frequency and duration of extreme heat events in urban areas, which seriously threatens the health of urban populations. Adaptation will be the main strategy for human beings to cope with climate change under the current situation. This study uses the model of private proactive adaptation to climate change (MPPACC) as the basic research framework and conducts a questionnaire survey on 516 members of the public in Guangzhou (a tropical megacity in China). The data were analyzed using a structural equation model to explore the effects of cognitive factors and maladaptation on heat adaptation behavior. The results of the structural equation modeling showed that adaptation incentives (β = 0.185, β = 0.485, β = 0.1) and risk experience (β = 0.262, β = 0.102, β = 0.541) affect the three parts of adaptation appraisal (including perceived response efficacy, perceived self-efficacy and perceived adaptation costs). Perceived severity (β = 0.122), perceived susceptibility (β = 0.268), perceived response efficacy (β = 0.109), and maladaptation (β = −0.248) affect adaptive behavior. This study made the following contributions: i) Added a limited number of studies using the MPPACC. ii) Findings confirmed that the MPPACC is an effective model for understanding the actions of people facing threats, demonstrating the model's applicability in the context of urban heat. iii) The MPPACC model was refined to further explore the impact of adaptation incentives on risk perception and perceived adaptive capacity, and whether risk experience has an impact on perceived adaptive capacity. IV) To provide a scientific basis for urban areas to cope with extreme heat events.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"3 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782367","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}
Urban ClimatePub Date : 2024-11-01DOI: 10.1016/j.uclim.2024.102189
Lixiang Guo , Shujing Yue
{"title":"Impact of digital economy on co-benefits of air pollution reduction and carbon reduction: Evidence from Chinese cities","authors":"Lixiang Guo , Shujing Yue","doi":"10.1016/j.uclim.2024.102189","DOIUrl":"10.1016/j.uclim.2024.102189","url":null,"abstract":"<div><div>Pursuing co-benefits of air pollution reduction and carbon reduction (co-benefits) is an inevitable choice for the green development of China, with the digital economy (DE) presenting a viable novel opportunity. This study, based on data from 284 prefecture-level cities in China spanning from 2011 to 2021, examines the impact and full chain mechanisms of the DE on co-benefits. The results indicate that both the DE and co-benefits show an increasing trend. A distinct ‘east-high, west-low’ gradient distribution is observed. The DE significantly enhances co-benefits, with a 0.41 % increase in co-benefits resulting from a 1 % increase in the DE. Heterogeneity analysis reveals that the DE has a more pronounced impact on the carbon reduction effect. For cities located southeast of the Hu-Huanyong Line, urban agglomerations with high levels of integration, and non-resource-based cities, the promoting influence of the DE on co-benefits is stronger. Mechanism analysis indicates that the DE comprehensively enhances co-benefits by reducing energy intensity at the source, increasing public environmental appeal throughout the process, and improving air pollution and carbon emission efficiency through end treatment. Our research offers empirical support and decision-making references for enhancing co-benefits by leveraging the advantages of the DE.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102189"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561256","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}
Urban ClimatePub Date : 2024-11-01DOI: 10.1016/j.uclim.2024.102198
J. Carbone , B. Sanchez , C. Román-Cascón , A. Martilli , D. Royé , C. Yagüe
{"title":"Effects of the urban development on the near-surface air temperature and surface energy balance: The case study of Madrid from 1970 to 2020","authors":"J. Carbone , B. Sanchez , C. Román-Cascón , A. Martilli , D. Royé , C. Yagüe","doi":"10.1016/j.uclim.2024.102198","DOIUrl":"10.1016/j.uclim.2024.102198","url":null,"abstract":"<div><div>The aim of the present study is to examine the impact of Madrid's urban growth over the last 50 years (1970–2020). We conduct a modelling study using WRF-ARW with the multilayer urban parameterization BEP-BEM, in which different urban parameters have been incorporated at each point within the model's inner domain according to urban expansion from 1970 to 2020. Two scenarios of important societal interest with different meteorological conditions are selected for this study: a period of intense heatwave during the summer season and a short period of strongly stable atmospheric conditions in winter, both in 2020. The results show that in areas where the urban fraction becomes greater an increase in near-surface air temperature is found for both simulated periods, especially during the night. The urbanization modifies the surface energy balance and turbulent transport in Madrid and its surroundings. It leads to a decrease in latent heat flux due to the high impermeability and reduced vegetation in urban areas. Additionally, the urban areas with a higher density of buildings have a high heat capacity, increasing heat flux storage during the day through solar radiation absorption. This stored energy is released at night, exacerbating the increase in nighttime near-surface air temperature in both periods.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102198"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban ClimatePub Date : 2024-11-01DOI: 10.1016/j.uclim.2024.102203
Meng Cai , Jin Sun , Jin Hu
{"title":"Evaluating policy effectiveness in mitigating urban air pollution: Insights from developing economies","authors":"Meng Cai , Jin Sun , Jin Hu","doi":"10.1016/j.uclim.2024.102203","DOIUrl":"10.1016/j.uclim.2024.102203","url":null,"abstract":"<div><div>Urban air pollution remains a critical challenge in developing countries, exacerbated by rapid urbanization and industrialization. This study makes a significant contribution to the literature by evaluating the effectiveness of China's strategic policy measures aimed at mitigating urban air pollution. Using a difference-in-differences (DID) methodology, we analyze data from 268 cities, providing one of the most comprehensive assessments of air quality improvement efforts across urban centers in China. Our findings highlight substantial reductions in air pollution levels, particularly in large and resource-rich cities, following policy implementation. This study is among the first to demonstrate the role of technological innovation, industrial restructuring, and public transportation improvements as key mechanisms driving these outcomes, offering new insights into policy effectiveness. Rigorous robustness checks, including parallel trend and placebo tests, confirm the validity of our results. Our research contributes to the broader understanding of environmental policy impacts in developing countries and provides a valuable framework for tackling urban air quality challenges globally.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102203"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684271","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}
{"title":"Analyzing the rainfall trend and hydroclimatic teleconnections using Hilbert Huang Transform for the coastal smart cities of India","authors":"Sourav Mandal , S. Yuvaraj , Jublee Mazumdar , Joydeep Ballav","doi":"10.1016/j.uclim.2024.102204","DOIUrl":"10.1016/j.uclim.2024.102204","url":null,"abstract":"<div><div>The changing climatic patterns associated with intense and erratic rainfall have led to high flooding risk in urban areas. Identifying these hydro-meteorological risks in cities is a matter of concern for decision-makers. The present study investigates long-term rainfall variability and trend analysis in 11 coastal smart cities in India. A relatively new approach involving the Hilbert–Huang transform (HHT) method is used to identify long-term trends by investigating time-frequency characterization. The study shows that the rainfall trend with a periodicity of 12.5–15.6 years is significantly increasing for Panaji while decreasing for Thane during the southwest monsoon (SWM), even though both cities are located on the west coast of India and are mainly influenced by SWM. Further, the intensity of northeast monsoon (NEM) decreased in Chennai, while the influence of SWM has increased in recent decades. Thane shows a firm decreasing rainfall trend, which is alarming and potent among the studied cities. Subsequently, a detailed co-relation study investigates a link between the changing rainfall patterns and global climate indices. The results illustrate that the influence of climatic indices is highly dynamic city-wise. The present method is very efficient and effective for analyzing rainfall variability in the context of coastal urban areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102204"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684468","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}
Urban ClimatePub Date : 2024-11-01DOI: 10.1016/j.uclim.2024.102201
Yichen Yang, Xuhui Lee
{"title":"Contributions of temperature and humidity to intra-city variations in humid heat","authors":"Yichen Yang, Xuhui Lee","doi":"10.1016/j.uclim.2024.102201","DOIUrl":"10.1016/j.uclim.2024.102201","url":null,"abstract":"<div><div>In this study, we investigated the intracity variation of humid heat in consideration of the contributions from temperature and humidity. Data were collected from mobile surveys in a mid-latitude industrial city. We found greater humid heat in built-up neighborhoods than in rural neighborhoods. Land surface temperature exaggerates the disparity in heat exposure as opposed to air temperature, although their spatial variations bear a strong resemblance. Humid heat is more variable across the city at night than during the day. Its nighttime variation is stronger in the cold season than in the warm season. Weather exerts a strong influence on the spatial variation in humid heat. The greatest variation was observed in the conditions of weak wind, low solar radiation, and high soil moisture in the day, and in the weak-wind and dry-soil conditions at night. The daytime humid heat increases in the built-up neighborhoods because these neighborhoods dissipate surface moist static energy less efficiently than the rural neighborhoods. The nighttime humid heat varies within the city mainly because the release of heat stored in the built-up neighborhoods is at a higher rate than the heat release from the rural soil.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102201"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637604","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}