Urban Climate最新文献_第6页

Transboundary air pollution in coastal urban area in Japan: Transport model and positive matrix factorization analysis for SPM-PM2.5 and PM2.5 日本沿海城市地区的跨界空气污染：SPM-PM2.5和PM2.5的运输模型和正矩阵分解分析

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-13 DOI: 10.1016/j.uclim.2024.102237

Kazunari Onishi, Keiya Yumimoto, Tomoaki Okuda, Akira Fukuike, Teruya Maki, Masanori Nojima, Masato Shinoda, Takeo Nakayama, Youichi Kurozawa, Zentaro Yamagata, Yasunori Kurosaki

{"title":"Transboundary air pollution in coastal urban area in Japan: Transport model and positive matrix factorization analysis for SPM-PM2.5 and PM2.5","authors":"Kazunari Onishi, Keiya Yumimoto, Tomoaki Okuda, Akira Fukuike, Teruya Maki, Masanori Nojima, Masato Shinoda, Takeo Nakayama, Youichi Kurozawa, Zentaro Yamagata, Yasunori Kurosaki","doi":"10.1016/j.uclim.2024.102237","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102237","url":null,"abstract":"Transboundary air pollutants have raised serious health concerns, particularly in regions with minimal local pollution sources. Distinguishing between local pollution and transboundary contributions is crucial for accurately assessing the health risks to local populations. This study aimed to analyze the differences in coarse and fine particulate matter and develop methods to obtain exposure data for epidemiological studies, thereby providing a scientific basis for public health interventions. We collected SPM-PM<ce:inf loc=\"post\">2.5</ce:inf> (physically excluded PM<ce:inf loc=\"post\">2.5</ce:inf> from SPM) and PM<ce:inf loc=\"post\">2.5</ce:inf> samples in Yonago City, a coastal urban area in Tottori Prefecture, Japan, from 19 October 2015 to 25 July 2016 using a novel slit jet impactor (MCAS-SJ). Positive matrix factorization analysis used heavy metal, ion, and carbon concentrations to identify pollutant sources. This study identified four major air pollution events during the sampling period, primarily attributed to transboundary transport. Episode I was dominated by nitric aerosols, Episodes II and III by Asian dust, and Episode IV by sulfate aerosols. An analysis using global chemical transport models and backward trajectories confirmed that these events verified the contribution of transboundary pollution. In conclusion, identifying the impact of transboundary pollution on local air quality enables an accurate risk assessment of populations. This study provides scientific evidence for developing effective public health strategies and preventive measures. Additionally, the methodology used in this study holds the potential for international contributions and future research applications, helping to address air pollution challenges on a broader scale.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"114 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867580","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

Analysis of ozone pollution causes under influence of extreme high temperatures and power rationing measures: Chengdu, China 极端高温和限电措施影响下的臭氧污染原因分析：中国成都

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-11 DOI: 10.1016/j.uclim.2024.102239

Lijuan Lei, Miao Feng, Yi Zhang, Wei Li, Shishi Yang, Danlin Song, Yang Chen, Junjie Wang

{"title":"Analysis of ozone pollution causes under influence of extreme high temperatures and power rationing measures: Chengdu, China","authors":"Lijuan Lei, Miao Feng, Yi Zhang, Wei Li, Shishi Yang, Danlin Song, Yang Chen, Junjie Wang","doi":"10.1016/j.uclim.2024.102239","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102239","url":null,"abstract":"Ozone(O<ce:inf loc=\"post\">3</ce:inf>) pollution has become increasingly severe and persistent in recent years. A persistent O<ce:inf loc=\"post\">3</ce:inf> pollution event occurred in Chengdu in 2022 during a period of extreme high-temperature weather. In response, the government implemented power rationing measures to restrict industrial electricity consumption. Based on the observational data, an observation based model (OBM) and probability mass function (PMF) are used to study the effect of power rationing on the O<ce:inf loc=\"post\">3</ce:inf> formation mechanism. After power rationing, the temperature increased by 1.7 °C,despite the conditions for O<ce:inf loc=\"post\">3</ce:inf> generation were more favorable, the O<ce:inf loc=\"post\">3</ce:inf> concentration was reduced. This is mainly because the power rationing measures reduced non-methane hydrocarbons (NMHCs) by about 22.71 % and reduced the generation of organic peroxide radicals (RO<ce:inf loc=\"post\">2</ce:inf>), thereby suppressing O<ce:inf loc=\"post\">3</ce:inf> generation. The reduced NMHCs primarily came from solvent use sources. In recent years, extreme high-temperature days have occurred frequently, and the O<ce:inf loc=\"post\">3</ce:inf> pollution situation has become grim. This study seeks to understand the influence of human activities on O<ce:inf loc=\"post\">3</ce:inf> in Chengdu under extreme high-temperature conditions, emphasizes that O<ce:inf loc=\"post\">3</ce:inf> pollution prevention and control measures in Chengdu should consider addressing solvent use sources, reducing the NMHC, and the adopting of regional joint preventive and control measures, and provides references for other regions.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"22 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816599","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 cooling impacts of Green Hearts in summer: A case study in the Changsha-Zhuzhou-Xiangtan urban agglomeration based on Weather Research Forecasting (WRF) simulations 夏季绿心降温效应研究——以长株潭城市群为例——基于WRF模拟

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-10 DOI: 10.1016/j.uclim.2024.102235

Yipu Chen, Ran Hu, Komi Bernard Bedra

{"title":"Investigating the cooling impacts of Green Hearts in summer: A case study in the Changsha-Zhuzhou-Xiangtan urban agglomeration based on Weather Research Forecasting (WRF) simulations","authors":"Yipu Chen, Ran Hu, Komi Bernard Bedra","doi":"10.1016/j.uclim.2024.102235","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102235","url":null,"abstract":"Numerous studies have established that green spaces are crucial in combating urban heat islands (UHI). As ecological Green Hearts have been adopted in many multipolar urban agglomerations, this study questions their long-term impact on urban heat mitigation. Taking the “Green Heart” area of the Changsha-Zhuzhou-Xiangtan urban agglomeration, and utilizing land use datasets between 1990 and 2020, numerical simulations of near-ground air temperatures were conducted to analyze the temperature variations induced by the spatial dynamics and the land-use change inside the Green Heart. The findings reveal a 0.4 °C increase in urban temperatures caused by urban expansion. A “cool island effect” by the Green Heart is observed but the temperature difference achieved (2 °C to 4 °C) is no more significant than in city-scale parks and the cooling extent beyond the Green Heart's perimeter was insignificant. Doubling the construction land inside the Green Heart increased daytime and nighttime temperatures by 1.5 °C and 2.6 °C, respectively, suggesting the importance of maintaining forests. The long-term urban temperature fluctuations are arguably influenced more by the spatial transformations inside the cities than changes inside the Green Heart. These results imply that combating urban heat should prioritize city-centered cooling strategies and land-use control.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"86 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816600","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

Net impact of London Strand-Aldwych pedestrianisation project on air quality and noise 伦敦街-奥尔德维奇步行区项目对空气质量和噪音的净影响

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-06 DOI: 10.1016/j.uclim.2024.102231

Arnout van Soesbergen, Mark Mulligan

{"title":"Net impact of London Strand-Aldwych pedestrianisation project on air quality and noise","authors":"Arnout van Soesbergen, Mark Mulligan","doi":"10.1016/j.uclim.2024.102231","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102231","url":null,"abstract":"Pedestrianisation in urban areas has the potential to reduce air and noise pollution but may lead to increased pollution in surrounding streets. To date, there are very few long-term monitoring studies that assess the net impacts of pedestrianisation on air quality and noise. This study uses a dense low-cost particulate matter and environmental noise monitoring network to assess the net impacts of the Strand-Aldwych pedestrianisation project (SAPP) in central London on particulate matter and noise pollution. Monitoring started before traffic was excluded from the Strand in June 2021 and continued through re-development works in 2022 and post-works in 2023. Collected particulate matter data was complemented with data from the Automatic Urban and Rural Network and London Air Quality Network sites. Results show a statistically significant decrease in NO<ce:inf loc=\"post\">x</ce:inf> and environmental noise pollution on the Strand between summer 2021 and summer 2023. PM<ce:inf loc=\"post\">2.5</ce:inf> levels have also decreased at street level on the Strand but have increased on Aldwych and other surrounding streets relative to concurrent background levels measured at roof level. PM<ce:inf loc=\"post\">2.5</ce:inf> is mostly driven by larger scale background inputs in central London and meteorological conditions while NO<ce:inf loc=\"post\">x</ce:inf> and environmental noise are more directly related to local sources at street level. The latter are therefore stronger indicators of improved air quality and reduced noise after pedestrianisation.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"52 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816603","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

How does land resource mismatch affect urban energy low-carbon transition? 土地资源错配如何影响城市能源低碳转型？

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-06 DOI: 10.1016/j.uclim.2024.102236

Hao Zhang, Yan Song, Ming Zhang

{"title":"How does land resource mismatch affect urban energy low-carbon transition?","authors":"Hao Zhang, Yan Song, Ming Zhang","doi":"10.1016/j.uclim.2024.102236","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102236","url":null,"abstract":"Optimizing land resource allocation is an inevitable requirement for achieving urban energy low-carbon transition. This paper explores the impact mechanism of land resource mismatch on urban energy low-carbon transition by utilizing actual land market transaction data and panel data of 284 prefecture-level cities in China obtained from China Land Market Network using crawler technology. The results show: (1) Land resource mismatch significantly inhibits the performance of urban energy low-carbon transition, and the conclusion still holds after a series of robustness tests such as replacing explanatory variables and endogeneity analysis. (2) Land resource mismatch mainly affects the urban energy low-carbon transition by inhibiting industrial structure upgrading, low-carbon technology innovation and weakening industrial agglomeration effects. (3) The disincentive effect of land resource mismatch is more pronounced in resource-based cities, cities with low cleaning potential and small-scale cities. (4) Hard constraints on local governments' economic growth targets will strengthen the inhibitory effect of land resource mismatch on the city's energy low-carbon transition, while the environmental performance assessment mechanism will weaken the negative impact of land resource mismatch.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"10 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816602","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

Multi-stakeholder perspectives on climate gentrification in Miami-Dade, Florida 佛罗里达州迈阿密-戴德市气候高档化的多方利益相关者视角

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-06 DOI: 10.1016/j.uclim.2024.102238

Mia Matteucci, Kelsea Best, Corina McKendry

{"title":"Multi-stakeholder perspectives on climate gentrification in Miami-Dade, Florida","authors":"Mia Matteucci, Kelsea Best, Corina McKendry","doi":"10.1016/j.uclim.2024.102238","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102238","url":null,"abstract":"Climate gentrification (CG) considers the complex ways that climate change can interact with housing affordability, development, and social inequity to contribute to the displacement of marginalized communities. CG is an emerging topic in academic literature, but there is limited understanding of how diverse stakeholders conceptualize and experience CG on the ground. This paper investigates this phenomenon in Miami-Dade, Florida, from a multi-stakeholder lens in order to provide a more holistic understanding of how CG and possible solutions to CG are considered by local actors. Semi-structured interviews were used to collect information from 23 diverse stakeholders in Miami-Dade, including government officials, developers, community organizers, and academic researchers. Results highlight a lack of consensus and conflicting interpretations of the term CG among stakeholders. Despite differing definitions and understandings, interviewees more closely aligned on suggestions for potential solutions to CG. Solutions identified include improving access to affordable housing while also mitigating future climate change. Results emphasize the need for proactive measures to address CG that prioritize equity, sustainability, and community resilience.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"27 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816601","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

Optimization of green space in high-density built-up areas based on cooling simulations: A case study in Xi'an, China 基于降温模拟的高密度建成区绿地优化——以西安为例

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-06 DOI: 10.1016/j.uclim.2024.102225

Sujun Zhao, Jing Dong, Fei Guo, Hongchi Zhang, Peisheng Zhu

{"title":"Optimization of green space in high-density built-up areas based on cooling simulations: A case study in Xi'an, China","authors":"Sujun Zhao, Jing Dong, Fei Guo, Hongchi Zhang, Peisheng Zhu","doi":"10.1016/j.uclim.2024.102225","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102225","url":null,"abstract":"The role of green space (GS) in mitigating the urban heat island (UHI) effect is well-recognized. However, practical research on GS optimization in high-density built-up areas, where land resources are scarce, remains limited. This study proposes a GS optimization method specifically designed for such areas, utilizing cooling simulations to establish a complete and feasible workflow. High-resolution remote sensing is employed to identify potential renewal parcels, with potential grading leading to various GS optimization scenarios. Cooling simulations and quantitative analysis at unit and block scales, conducted using the InVEST Urban Cooling Model (UCM) and ArcGIS, inform targeted GS strategies. A case study in Xi'an demonstrates the practical applicability of this approach, revealing temperature reductions of 0.25 %, 1.53 %, and 2.29 % as parcels progress from first- to third-level renewal. As a result, 40 %, 60 %, and 70 % of blocks experience effective UHI mitigation. The study further proposes GS optimization from both time-series and spatial strategies, enhancing the scientific accuracy and practical feasibility of GS strategies. This method offers a robust reference for GS construction in other high-density built-up areas facing ecological and land resource challenges where the UHI effect is significant.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"56 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816604","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

Filling gaps in urban temperature observations by debiasing ERA5 reanalysis data 利用ERA5再分析数据去偏填补城市温度观测空白

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-05 DOI: 10.1016/j.uclim.2024.102226

Amber Jacobs, Sara Top, Thomas Vergauwen, Juuso Suomi, Jukka Käyhkö, Steven Caluwaerts

{"title":"Filling gaps in urban temperature observations by debiasing ERA5 reanalysis data","authors":"Amber Jacobs, Sara Top, Thomas Vergauwen, Juuso Suomi, Jukka Käyhkö, Steven Caluwaerts","doi":"10.1016/j.uclim.2024.102226","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102226","url":null,"abstract":"Gaps in urban meteorological time series complicate the analysis and usage of datasets. Various gap-filling techniques exist, including the debiasing of ERA5 reanalysis data. Unfortunately, an extensive evaluation of these debiasing techniques is lacking for urban datasets. This research compares five gap-filling techniques for urban temperature time series, including three debiasing techniques that employ a learning period and time window to take into account the seasonal and diurnal ERA5 temperature bias. The evaluation, performed by filling manually constructed gaps, reveals that short gaps are best filled by linear interpolation, while longer gaps benefit from ERA5 debiasing. The bias correction is crucial for urban locations, with all debiasing techniques performing similarly. The exact length and placement of the learning period and time window have limited impact on the performance, however a symmetrical placement of the learning period with a minimum length of 10 days and a small time window provide the best outcome. Based on these results, a gap-filling algorithm is designed which efficiently fills all gaps in temperature time series by selecting the most optimal technique for each gap. The algorithm can reproduce the urban heat island effect, although a small over- or underestimation might occur.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"2 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A reliable and easy-to-implement approach to estimate daily urban benzene levels 一个可靠和易于实施的方法来估计每日城市苯水平

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-05 DOI: 10.1016/j.uclim.2024.102234

David Galán-Madruga, Parya Broomandi, Jafet Cárdenas-Escudero, J.L. Urraca, Jorge O. Cáceres

{"title":"A reliable and easy-to-implement approach to estimate daily urban benzene levels","authors":"David Galán-Madruga, Parya Broomandi, Jafet Cárdenas-Escudero, J.L. Urraca, Jorge O. Cáceres","doi":"10.1016/j.uclim.2024.102234","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102234","url":null,"abstract":"Assessing air benzene is mandatory in the European Union due to potentially harmful human effects. Current exposure data are lacking since there is a limited number of fixed stations. This research provides an easy approach to estimating daily urban benzene levels potentially applicable in other geographical areas. Madrid City was regarded as a case study. They were calculated mathematical models explaining the relationship between dependent and predictor inputs using an original 2019–2020 dataset (r from 0.881 to 0.903) and were tested using a 2021 dataset (r from 0.682 to 0.914). Similarly, the suggested mathematical expressions were satisfactorily implemented in another geographic region (<ce:italic>r</ce:italic> = 0.936 and 0.764 for urban traffic and rural background sites, respectively). Furthermore, the recommended approach helps identify the most representative fixed benzene measuring locations without lost spatial information, given that a similar spatial distribution gradient was sustained between estimated and the most representative benzene levels (<ce:italic>r</ce:italic> = 0.959), which is translated into acceptable quantitative differences (0.07 μg/m<ce:sup loc=\"post\">3</ce:sup>, 0.01 μg/m<ce:sup loc=\"post\">3</ce:sup> and 5.01 % for RMSE, MAE, and MAPE, respectively). Applying the proposed approach furnishes enriched benzene exposure data, thus decreasing uncertainty generated by the lack of actual information and complements European Legislation directrices concerning air pollutants monitoring using air quality networks.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"224 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782363","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 dynamics of dry-and-humid, day-and-night, and compound heat waves across 209 Cities in China during 1974–2021 揭示了1974-2021年中国209个城市干湿、昼夜和复合热浪的动态

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-05 DOI: 10.1016/j.uclim.2024.102230

Lijun Liu, Liling Chu, Youjia Liang, Jiangang Li, Miao Yu, Chao He

{"title":"Unveiling the dynamics of dry-and-humid, day-and-night, and compound heat waves across 209 Cities in China during 1974–2021","authors":"Lijun Liu, Liling Chu, Youjia Liang, Jiangang Li, Miao Yu, Chao He","doi":"10.1016/j.uclim.2024.102230","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102230","url":null,"abstract":"Heatwaves (HWs) in China significantly impact human health and socioeconomic development, with these effects intensified by global warming and urbanization. This study provides an inter-comparison of the spatiotemporal variations and physical mechanisms of six HW types across 209 Chinese cities from 1974 to 2021: dry-daytime (DD), dry-nighttime (DN), dry-compound (DC), humid-daytime (HD), humid-nighttime (HN), and humid-compound (HC) HWs. We analyzed climatological data to assess the occurrence, duration, and intensity of each HW type, examining temperature anomalies, cloud cover, and atmospheric circulation patterns. We also evaluated the influence of climate change and urbanlization on HW dynamics. The findings demonstrated that DC and HC HWs exhibited longer duration and higher magnitude than other types across the China, 25.4 % of Central and Southwest cities transitioned to DC-dominant HWs (1974–2013), while 17.2 % of Northern and Western cities shifted to HC-dominant HWs (2014–2021). Furthermore, DC and HC are associated with larger spatial extent of positive temperature anomalies, negative total cloud cover anomalies, and stronger anomalous anticyclonic circulation compared to other HWs types. Additionally, both El Niño–Southern Oscillation and North Atlantic Oscillation were in positive phases, showing a synergistic correlation with increased durations of six HWs. In 1974–2013, DC and HC magnitude were increasing (0.15–0.35 /decade) at low- to very high- urbanization level; after 2014, HC/DD/DN/HN showed an increase (0.04 to 3.61 /decade) at low, moderate, and very high levels. HC (2.3 % at a moderate level) and HN (22.5 % at a very high level) had underscored the influence of urbanization on transfomation of HWs.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"27 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782352","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