Urban Climate最新文献_第10页

Examining water bodies' cooling effect in urban parks with buffer analysis and random forest regression

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102301

Yu Qiao , Hao Sun , Jialing Qi , Shaobo Liu , Jiang Li , Yifeng Ji , Hao Wang , You Peng

{"title":"Examining water bodies' cooling effect in urban parks with buffer analysis and random forest regression","authors":"Yu Qiao , Hao Sun , Jialing Qi , Shaobo Liu , Jiang Li , Yifeng Ji , Hao Wang , You Peng","doi":"10.1016/j.uclim.2025.102301","DOIUrl":"10.1016/j.uclim.2025.102301","url":null,"abstract":"<div><div>As urban thermal environments continue to deteriorate, the capacity of urban parks to mitigate the Urban Heat Island (UHI) effect has gained increasing attention, particularly the role of water bodies within these parks. However, the relationship between water body characteristics and cooling effect of urban park remains underexplored. This study utilizes Landsat 8 OLI_TIRS imagery from 28 urban parks in Jiangsu, China, applying buffer analysis and random forest regression to evaluate the cooling effects of water bodies based on their coverage and complexity. The key findings are as follows: (1) For every 0.1 increase in water body shape index in urban parks, the cooling area increases by 3.746 ha; (2) larger water body coverage enhances cooling, but the cumulative cooling efficiency decreases beyond a certain threshold; (3) from a cost-effectiveness perspective, there exists an optimal threshold value of capacity (TVoC) for water bodies in urban parks to alleviate the UHI, which is influenced by the coverage and complexity of urban parks; (4) for every 1 ha increase in urban park area raises the TVoC by 0.017 ha, and every 0.1 increase in urban park shape index raises the TVoC by 0.117 ha. Based on these findings, we recommend that urban planners, when renovating urban parks, adjust the size of water bodies to approach the optimal TVoC, enriching the shapes of water bodies, and integrating urban parks with blue-green infrastructure. These insights are crucial for enhancing the cooling effect of urban parks and promoting sustainable urban renewal.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102301"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072653","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

Two-stage super-resolution simulation method of three-dimensional street-scale atmospheric flows for real-time urban micrometeorology prediction

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102300

Yuki Yasuda, Ryo Onishi

{"title":"Two-stage super-resolution simulation method of three-dimensional street-scale atmospheric flows for real-time urban micrometeorology prediction","authors":"Yuki Yasuda, Ryo Onishi","doi":"10.1016/j.uclim.2025.102300","DOIUrl":"10.1016/j.uclim.2025.102300","url":null,"abstract":"<div><div>A two-stage super-resolution simulation method is proposed for street-scale air temperature and wind velocity, which considerably reduces computation time while maintaining accuracy. The first stage employs a convolutional neural network (CNN) to correct large-scale flows above buildings in the input low-resolution simulation results. The second stage uses another CNN to reconstruct small-scale flows between buildings from the output of the first stage, resulting in high-resolution inferences. The CNNs are trained using high-resolution simulation data for the second stage and their coarse-grained version for the first stage as the ground truth, where the high-resolution simulations are conducted independently of the low-resolution simulations used as input. This learning approach separates the spatial scales of inference in each stage. The effectiveness of the proposed method was evaluated using micrometeorological simulations in an actual urban area around Tokyo Station in Japan. The super-resolution simulation successfully inferred high-resolution atmospheric flows, reducing errors by approximately 50 % compared to the low-resolution simulations. Furthermore, the two-stage approach enabled localized high-resolution inferences, reducing GPU memory usage to as low as 12 % during training. The total wall-clock time for 60-min predictions was reduced to 6.83 min, which was 3.32 % of the high-resolution simulation time.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102300"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072660","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}

引用次数: 0

Extreme rainfall events in the Metropolitan Region of Rio de Janeiro: Variability and trends

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102330

Sofia Siqueira Lima , Núbia Beray Armond

{"title":"Extreme rainfall events in the Metropolitan Region of Rio de Janeiro: Variability and trends","authors":"Sofia Siqueira Lima , Núbia Beray Armond","doi":"10.1016/j.uclim.2025.102330","DOIUrl":"10.1016/j.uclim.2025.102330","url":null,"abstract":"<div><div>This study examines the spatial and temporal variability of extreme precipitation events in the Metropolitan Region of Rio de Janeiro, considering the urban area's topographical characteristics. Daily precipitation data from 50 rainfall stations in nine municipalities was studied for two periods (1970–2020 and 2008–2020) using homogenization techniques and ETCCDI indices to detect extremes. Three indexes (RX1Day, RX5Day, and R99p) were utilized to define extreme events, and non-parametric tests were employed to discover patterns in frequency and magnitude. The findings suggest that high altitudes, such as Serra do Mar and the Coastal Massifs, raise the extreme rainfall thresholds (R99p) and concentrate heavy precipitation to windward during concentrated (RX1Day) and persistent (RX5Day) events. The results also revealed changes in the pattern of extreme variability over the previous two decades, with an increase in outliers and the yearly amplitude and median of concentrated and persistent events (Rx1Day and Rx5Day). Despite having a lower frequency than January and March, April showed the most considerable variability for concentrated and persistent occurrences. The metropolitan east experiences an increase in the frequency and magnitude of extremes, mostly in annual distribution, rainy season, and dry season, whereas the urban center-north experiences a drop in frequency and amplitude.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102330"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386441","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

Turbulent flow over street canyons with balconies

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102331

Huanhuan Wang , Keith Ngan

{"title":"Turbulent flow over street canyons with balconies","authors":"Huanhuan Wang , Keith Ngan","doi":"10.1016/j.uclim.2025.102331","DOIUrl":"10.1016/j.uclim.2025.102331","url":null,"abstract":"<div><div>Flow over a single street canyon with balconies located along the leeward and windward walls is studied using large-eddy simulation. The effect of different balcony configurations on the mean flow and turbulence statistics is assessed for height-to-width canyon aspect ratios of <span><math><mi>AR</mi><mo>=</mo><mn>0.25,0.5,1.0</mn></math></span> and a mean flow perpendicular to the canyon axis. For sufficiently small balconies, the flow continues to be well-described by the canyon aspect ratio; for more closely packed balconies, the applicability of alternative parameters, such as the effective aspect ratio for the interior (<span><math><msub><mi>AR</mi><mi>e</mi></msub></math></span>) and the balcony aspect ratio for the balcony regions (<span><math><msub><mi>AR</mi><mi>b</mi></msub></math></span>), is investigated. Over a wide range of balcony configurations, the mean flow, and to a lesser extent the turbulent kinetic energy (TKE), are described by <span><math><msub><mi>AR</mi><mi>e</mi></msub></math></span> and the normalised balcony separation distance (<span><math><msup><mi>s</mi><mo>′</mo></msup></math></span>). It is argued that this is a consequence of the flow within the balconies being driven by a canyon-like flow within the interior.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102331"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421075","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

Evaluation of city-scale PALM model simulations and intra-urban thermal variability in Vienna, Austria using operational and crowdsourced data 利用运营和众包数据评估奥地利维也纳城市尺度PALM模型模拟和城市内热变

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102245

Maja Žuvela-Aloise , Claudia Hahn , B. Hollósi

{"title":"Evaluation of city-scale PALM model simulations and intra-urban thermal variability in Vienna, Austria using operational and crowdsourced data","authors":"Maja Žuvela-Aloise , Claudia Hahn , B. Hollósi","doi":"10.1016/j.uclim.2024.102245","DOIUrl":"10.1016/j.uclim.2024.102245","url":null,"abstract":"<div><div>The PALM model system for urban applications is used to simulate the spatio-temporal thermal variability under heat wave conditions in Vienna, Austria. Model simulations covering the city area and its surroundings with a spatial resolution of 20 m are performed for four consecutive clear-sky hot days in August 2022. The results for hourly air temperature are evaluated with data from conventional weather stations of professional monitoring networks and quality-controlled data from private weather stations of the company NETATMO. The observations show high intra-urban variability during daytime and distinct spatial patterns at night with higher air temperatures in densely built city centre and lower temperatures in surrounding low-density urban region with prevailing green areas. The model shows lower variability than the observations, but similar large-scale spatial patterns. Direct comparison with observational data indicates a good model performance with a high coefficient of determination (R<sup>2</sup> > 0.85), low bias (0.2 °C – 0.4 °C) and a root mean squared error (RMSE) of 1.8 °C. Evaluation of intra-urban thermal variability based on classification per land use and land cover type shows a statistically significant air temperature difference between the built-up areas and high vegetation surfaces during the night of about 1 °C in the observation and about 2 °C simulated by the model.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102245"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867481","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}

引用次数: 0

Harnessing geographic information system and street view imagery for thermal gradient distribution auditing 利用地理信息系统和街景图像进行热梯度分布审计

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102248

Lang Zheng , Weisheng Lu , Jianxiang Huang , Fan Xue

{"title":"Harnessing geographic information system and street view imagery for thermal gradient distribution auditing","authors":"Lang Zheng , Weisheng Lu , Jianxiang Huang , Fan Xue","doi":"10.1016/j.uclim.2024.102248","DOIUrl":"10.1016/j.uclim.2024.102248","url":null,"abstract":"<div><div>Assessing and managing the thermal environment within urban streetscapes is of paramount importance for the health, livability, and ecological sustainability of metropolitan regions. However, due to a scarcity of high-precision historical street thermal environment data for prediction and modeling, existing urban thermal environment classification assessment studies suffer from low resolution (> 30 m) or limited research scope (e.g., community-level), resulting in less accurate and comprehensive insights. This study introduces an innovative framework for constructing large-scale urban street-level thermal gradients using classified samples derived from the spatial structural features of street points. The core of this framework lies in the k-means unsupervised classification algorithm. This approach integrates detailed local geographic information system (GIS) data with street view features, calculated through semantic segmentation of Google Street-View-Panorama using the DeepLabV3 model. This allows for the categorization of a vast array of high-precision street points based on spatial structural similarity, a key factor influencing the similarity of street thermal environment features. By selecting appropriate samples for on-site thermal environment measurements within each category and subsequently extrapolating this knowledge to the thermal environment classification of each category, this framework facilitates the rapid creation of high-precision street-level thermal gradient models across extensive urban areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102248"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867587","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 the city-scale wind environment and detection of ventilation corridors in high-density metropolitan areas based on CFD method 基于CFD方法的高密度都市圈城市尺度风环境分析及通风走廊检测

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102274

Rui Liu , Yuxiang Wang , Yu Zhang , Zhixing Peng , Hankai Chen , Xiang Li , Hang Li , Weiyue Li

{"title":"Analysis of the city-scale wind environment and detection of ventilation corridors in high-density metropolitan areas based on CFD method","authors":"Rui Liu , Yuxiang Wang , Yu Zhang , Zhixing Peng , Hankai Chen , Xiang Li , Hang Li , Weiyue Li","doi":"10.1016/j.uclim.2024.102274","DOIUrl":"10.1016/j.uclim.2024.102274","url":null,"abstract":"<div><div>Urban wind corridors can improve the air exchange and ventilation within the city center and mitigate high UHIs. The current study simplified the complex underlying surface using a GIS clustering analysis model to establish the 3D digital model for CFD simulation, the Reynolds-averaged Navier–Stokes (RANS) model was used to simulate the city-scale wind environment with a horizontal resolution of 30 m. Machine learning methods were then employed to predict how ventilation potential could be improved within the identified wind corridors. The results are summarized as follows: (1) Building coverage ratio (<em>BCR</em><sub><em>z</em></sub>) and floor area ratio (<em>FAR</em>) exerted significant influences on both horizontal and vertical wind fields, leading to variations in wind speed and direction. (2) <em>BCR</em><sub><em>z</em></sub> and <em>FAR</em> have negative correlations with the average wind speed (<em>U</em><sub><em>mean</em></sub>) at the heights ranging from 5 to 50 m above the ground, while <em>NDVI</em> and green plot ratio (<em>GR</em>) show positive correlations. (3) 14 potential ventilation corridors were detected based on the CFD simulations. Targeted recommendations to enhance urban ventilation were validated by machine learning methods, emphasizing adjustments to urban morphology and landscape types. These findings provide actionable insights for urban planning and design strategies aimed at improving ventilation in high-density metropolitan areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102274"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988099","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

Crafting the perfect policy combination: Exploring the synergistic effects of dual-pilot energy policies on urban carbon emission efficiency 打造完美的政策组合：探索双试点能源政策对城市碳排放效率的协同效应

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102260

Benhong Peng , Fei Gao

{"title":"Crafting the perfect policy combination: Exploring the synergistic effects of dual-pilot energy policies on urban carbon emission efficiency","authors":"Benhong Peng , Fei Gao","doi":"10.1016/j.uclim.2024.102260","DOIUrl":"10.1016/j.uclim.2024.102260","url":null,"abstract":"<div><div>Energy policy constitutes a critical instrument for environmental governance. Exploring the synergistic effects of government-led and market-incentivized energy policies, focusing on energy transition, is crucial for improving urban carbon emission efficiency. Based on panel data from 279 China's cities from 2006 to 2021, this study treats the dual-pilot policies of new energy demonstration city and energy-consuming rights trading system as a quasi-natural experiment, employing a Difference-in-Differences (DID) model to assess the policy effects of the dual-pilot energy policies (DPEPs) on urban carbon emission efficiency. The results show that DPEPs significantly enhance urban carbon emission efficiency, and compared to the single-pilot policy, DPEPs exhibit a more pronounced policy effect. These findings hold robust after multiple robustness checks. Mechanism analysis reveals that DPEPs improve urban carbon emission efficiency by optimizing industrial structure, enhancing energy efficiency, and promoting regional technological advancement. Heterogeneity analysis shows that the synergistic effect of DPEPs is related to geographical location, industrialization and economic level, with policy effects being more pronounced in cities located in the central and western regions and highly industrialized and economic development cities. In further analysis, this paper employs the spatial DID model to evaluate the spatial spillover effects of DPEPs, finding that the implementation of DPEPs significantly boosts the carbon emission efficiency of surrounding areas. This study has important implications for pilot cities integrating multiple energy policy combinations and accelerating urban low-carbon transformation.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102260"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918072","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 climatic parameters on spatiotemporal variation of air pollutants across Bangladesh 气候参数对孟加拉国空气污染物时空变化的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102263

Rajsree Das Tuli , Kazi Jihadur Rashid , Md. Mezbahul Islam , Masrur Sobhan , Sheikh Tawhidul Islam , Krishna Prosad Mondal , Byomkesh Talukder , Ananda Mohan Mondal

{"title":"Impact of climatic parameters on spatiotemporal variation of air pollutants across Bangladesh","authors":"Rajsree Das Tuli , Kazi Jihadur Rashid , Md. Mezbahul Islam , Masrur Sobhan , Sheikh Tawhidul Islam , Krishna Prosad Mondal , Byomkesh Talukder , Ananda Mohan Mondal","doi":"10.1016/j.uclim.2024.102263","DOIUrl":"10.1016/j.uclim.2024.102263","url":null,"abstract":"<div><div>This study analyzed the spatiotemporal distribution of atmospheric contaminants in seven distinct climatic subzones of Bangladesh and their interactions with meteorological variables. Monthly time series data for air pollutants and meteorological variables were collected using the Google Earth Engine platform. Pearson's correlation analysis assessed the relationship between pollutant concentrations and meteorological variables at each site. The key findings reveal a consistent nationwide increase in pollution levels, with the highest levels observed in winter and pre-monsoon seasons, gradually decreasing by the end of the pre-monsoon period, and reaching their lowest concentrations during the monsoon season. Pollutant concentrations started to rise again during the post-monsoon. Precipitation exhibited an inverse correlation with NO<sub>2</sub> and CO concentrations across various climatic regions and seasons. In contrast, O<sub>3</sub> displayed a moderate to strong positive correlation with rainfall and humidity. Temperature generally had a positive relationship with AAI, CO, and NO<sub>2</sub> concentrations, while wind speed showed a positive relationship with NO<sub>2</sub> and SO<sub>2</sub> concentrations. These findings provide valuable insights into the country's air quality and the intricate relationship between weather patterns and pollutant concentration.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102263"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939707","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

Phthalate esters in urban multi-media in the arid city of Urumqi, Northwest China: Sources, bio-accessibility and health risks

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102291

Hui Dong , Lijun Wang , Tong Zhang , Wendong Tao

{"title":"Phthalate esters in urban multi-media in the arid city of Urumqi, Northwest China: Sources, bio-accessibility and health risks","authors":"Hui Dong , Lijun Wang , Tong Zhang , Wendong Tao","doi":"10.1016/j.uclim.2025.102291","DOIUrl":"10.1016/j.uclim.2025.102291","url":null,"abstract":"<div><div>Phthalate esters (PAEs) are widely detected in the environment, posing potential threats for human health. In this study, 23 PAEs were determined in 68 paired urban soil and surface dust samples and four dustfall samples collected from the arid city of Urumqi in China for their sources and health risks. The results showed that the total concentration of 23 PAEs in urban soil, surface dust and dustfall of Urumqi averaged 879, 2.17 × 10<sup>4</sup> and 4.38 × 10<sup>3</sup> ng/g, respectively, dominated by di-n-butyl, di-isobutyl, bis (2-ethylhexyl) and di-isononyl phthalates. Higher concentrations of PAEs in urban soil and surface dust were found in the south, southwest and northeast of Urumqi. The total deposition flux of dustfall-borne 23 PAEs averaged 521 ng/m<sup>2</sup>/d. PAEs in urban soil and surface dust of Urumqi were associated with the use of plasticizers (30.3 and 32.5 %), building materials (25.0 and 26.5 %) and cosmetics and personal care products (19.9 and 22.8 %) as well as the emission of traffic (24.8 and 18.2 %). The bio-accessibility of PAEs in the two media was controlled by their physicochemical properties. The non-cancer (< 1) and cancer (< 1 × 10<sup>−6</sup>) risks were relatively low for human exposure to PAEs in urban soil and surface dust. The current research results enrich understanding for pollution behaviors of PAEs in the environment.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102291"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027324","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