Urban Climate最新文献

{"title":"Impact of digital economy on co-benefits of air pollution reduction and carbon reduction: Evidence from Chinese cities","authors":"Lixiang Guo ,&nbsp;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}

{"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 ,&nbsp;B. Sanchez ,&nbsp;C. Román-Cascón ,&nbsp;A. Martilli ,&nbsp;D. Royé ,&nbsp;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}

{"title":"Evaluating policy effectiveness in mitigating urban air pollution: Insights from developing economies","authors":"Meng Cai ,&nbsp;Jin Sun ,&nbsp;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 ,&nbsp;S. Yuvaraj ,&nbsp;Jublee Mazumdar ,&nbsp;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}

{"title":"Contributions of temperature and humidity to intra-city variations in humid heat","authors":"Yichen Yang,&nbsp;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}

{"title":"Urbanization effects on temperature: 1826–1850","authors":"Donald F. Vitaliano","doi":"10.1016/j.uclim.2024.102196","DOIUrl":"10.1016/j.uclim.2024.102196","url":null,"abstract":"<div><div>Mean, minimum and maximum monthly temperatures for 58 stations in New York State covering the period 1826–1850 are used to estimate a random effects panel regression. Controlling for latitude, elevation and seasonality, a statistically significant positive effect of population on minimum temperature is detected. At the mean population of 8500, the estimated effect is 0.19 °F (0.105 °C), which is consistent with published estimates for later periods. Mean and maximum temperature effects are +0.06 °F (+0.033 °C) and − 0.05 °F (−0.027 °C), respectively, but are not statistically significant. Microclimate and other unmeasured weather station heterogeneity is captured as a random ‘effects’ distribution variable, a novel treatment. Heat island effects appear to exist at very low levels of population when energy was based on animals and water power, perhaps due to loss of greenspace. Based on these results urbanization could contribute as much as 27.5 % to 41 % of the centennial temperature rise in New York.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102196"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702611","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":"Estimating impacts of micro-scale land use/land cover change on urban thermal comfort zone in Rajshahi, Bangladesh: A GIS and remote sensing based approach","authors":"Md. Shakil Ar Salan ,&nbsp;Mohammad Amir Hossain Bhuiyan","doi":"10.1016/j.uclim.2024.102187","DOIUrl":"10.1016/j.uclim.2024.102187","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Rapid urban growth causes significant decrease in green cover which ultimately results higher temperature and strongest Urban Thermal Field Variance Index (UTFVI) effect. Rajshahi has the highest heat index score after the southwest region. Hence, Rajshahi city is particularly vulnerable to heat waves. There is a major gap in exploring the micro-scale thermal conditions in Rajshahi. The primary purpose of this study is to evaluate urban ecological health in the four major urbanized zones of Rajshahi City Corporation (RCC) area namely, City Centre, Eastern Fringe, Western Fringe and Northern Fringe over the past three decades (1992–2022). Land Use/Land Cover (LULC) variations, ecological balance, and their effects on the thermal environment at various scales have all been extensively analyzed using an integrated approach of geographic information systems (GIS) and remote sensing (RS). Landsat satellite images with a 30 m spatial resolution were used to carry out this micro-scale study. In ENVI 5.3 software, the Support Vector Machines (SVM) algorithm was used for its accuracy and popularity in image classification. Images from the past three decades were classified at five-year intervals using SVM, relying on specific training procedures. Four land cover indices are utilized to assess the geographical and temporal differences in Land Surface Temperature (LST) caused by land cover. Statistical relationship between various land cover indices and LST was performed using Statistical Package/Program for Social Sciences (SPSS). The overall increase of urban area during the study period was 53.61 %, resulting in a concentration of 28.09 km&lt;sup&gt;2&lt;/sup&gt; of urban area (58.45 %) in 2022 from 2.32 km&lt;sup&gt;2&lt;/sup&gt; (4.83 %) of 1992. The directional analysis of Thermal Comfort Zone (TCZ) reveals a significant decrease of thermal comfort environment due to loss of green space in NE to NW region during the study period. The regression analysis among LULC and LST revealed significant negative relation (&lt;em&gt;p&lt;/em&gt; &lt; 0.05) for water body and vegetation cover while the relationship is positive for urban area which concluded that urban centres experienced the most substantial LST increases, as evidenced by the study's observation of a substantial increase in higher temperature zones. This urban encroachment, which is influenced by factors such as population growth and economic development, has resulted in a reduction in comfortable thermal zones, which has exacerbated the urban heat island effect and impacted the ecological sustainability of urban areas. By avoiding concentrated impermeable surfaces, such as built-up areas, and boosting green cover, urban development can effectively mitigate the effects of LST and UTFVI. Again, effective distribution of LULC can play a crucial role in mitigating the effects to a significant extent. The findings of this study reflect the necessity of proper sustainable solution through the successful implementation of urban ","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102187"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573405","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":"Towards better understanding the urban environment and its interactions with regional climate change - The WCRP CORDEX Flagship Pilot Study URB-RCC","authors":"Gaby S. Langendijk ,&nbsp;Tomas Halenka ,&nbsp;Peter Hoffmann ,&nbsp;Marianna Adinolfi ,&nbsp;Aitor Aldama Campino ,&nbsp;Olivier Asselin ,&nbsp;Sophie Bastin ,&nbsp;Benjamin Bechtel ,&nbsp;Michal Belda ,&nbsp;Angelina Bushenkova ,&nbsp;Angelo Campanale ,&nbsp;Kwok Pan Chun ,&nbsp;Katiana Constantinidou ,&nbsp;Erika Coppola ,&nbsp;Matthias Demuzere ,&nbsp;Quang-Van Doan ,&nbsp;Jason Evans ,&nbsp;Hendrik Feldmann ,&nbsp;Jesus Fernandez ,&nbsp;Lluís Fita ,&nbsp;Jiacan Yuan","doi":"10.1016/j.uclim.2024.102165","DOIUrl":"10.1016/j.uclim.2024.102165","url":null,"abstract":"<div><div>High-quality climate information tailored to cities' needs assists decision makers to prepare for and adapt to climate change impacts, as well as to support the targeted transition towards climate resilient cities. During the last decades, two main modelling approaches emerged to understand and analyse the urban climate and to generate information. Firstly, meso- and microscale urban climate models commonly resolve the street to city scale climate (1 m to 1 km) through simulating short “weather” type episodes, possibly under climate change conditions. Secondly, regional climate models (RCMs) are currently approaching the kilometer scale grid resolutions (1–4 km) and becoming increasingly relevant to understand the interactions of cities with the regional climate on timescales from decades up to a century. Therefore, the WCRP CORDEX Flagship Pilot Study “<em>URBan environments and Regional Climate Change (FPS URB-RCC)”</em> brings together the urban climate modelling community and the RCM community and focuses on understanding the interactions between urban areas and regional climate change, with the help of coordinated experiments with an RCM ensemble having refined urban representations. This paper presents the FPS URB-RCC, its main aims, as well as the initial steps taken. The FPS URB-RCC advances urban climate projections and information to support evidence-based climate action towards climate resilient cities.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102165"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592642","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}

{"title":"Jason Ching and the development of an Urban Climate Science: An introduction to the special issue on the World Urban Database Access Portal Tools (WUDAPT)","authors":"Gerald Mills ,&nbsp;Saravanan Arunachalam ,&nbsp;Yuan Shi ,&nbsp;Alexander Baklanov","doi":"10.1016/j.uclim.2024.102179","DOIUrl":"10.1016/j.uclim.2024.102179","url":null,"abstract":"","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102179"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637608","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":"Exposure to hourly ambient temperature and temperature change between neighboring days and risk of emergency department visits for cause-specific cardiovascular disease","authors":"Kun Yuan ,&nbsp;Xin Lv ,&nbsp;Yangchang Zhang ,&nbsp;Ruiyi Liu ,&nbsp;Tian Liang ,&nbsp;Zhenyu Zhang ,&nbsp;Wangnan Cao ,&nbsp;Lizhi Wu ,&nbsp;Shengzhi Sun","doi":"10.1016/j.uclim.2024.102197","DOIUrl":"10.1016/j.uclim.2024.102197","url":null,"abstract":"<div><div>Little is known regarding the association between hourly exposure to ambient temperature and temperature change between neighboring days (TCN) with the risk of emergency department (ED) visits for cardiovascular disease (CVD). We conducted a time-stratified case-crossover study among 1.03 million ED visits for CVD between 2016 and 2021 in Zhejiang Province, China. Our analysis reported a reversed J-shaped relationship between hourly ambient temperature and risk of total and cause-specific CVD, with cold having the most significant effects. The risk associated with extreme cold (2.5^th percentile of temperature distribution) peaked approximately 40 h after exposure, while the effects of extreme heat (97.5^th percentile) were most pronounced during the concurrent hour of exposure (lag 0 h). Additionally, a decline in TCN (negative TCN) was associated with a higher risk of CVD, hypertensive disease, and stroke. In contrast, an increase in TCN (positive TCN) was associated with a lower risk of cause-specific CVD. The risks of negative and positive TCN peaked on the day of exposure and two days after exposure, respectively. These findings suggest that exposure to non-optimal temperature and TCN may increase the risk of ED visits for total and cause-specific CVD shortly after exposure, primarily driven by cold and negative TCN.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102197"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637607","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}