Urban Climate最新文献_第3页

Multi-stakeholder perspectives on climate gentrification in Miami-Dade, Florida

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

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

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

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

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

Diurnal variations in cooling effects of urban parks based on ECOSTRESS data: A case study of Beijing

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-04 DOI: 10.1016/j.uclim.2024.102229

Zhitao Wei, Jia Liu, Xing Gao, Yuming Wu, Zihang Liu, Jiaye Yao

{"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}

引用次数: 0

Pervious asphalt pavement- and concrete wall-watering for urban cooling: Characterization of surface cooling effects at an outdoor test site

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-04 DOI: 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}

引用次数: 0

Three-dimensional landscape features impact on urban surface wind velocity during a heatwave: Relative contribution and marginal effect

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-02 DOI: 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}

引用次数: 0

Spatial and temporal correlation between green space landscape pattern and carbon emission—Three major coastal urban agglomerations in China

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-02 DOI: 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}

引用次数: 0

A study on risk perception and adaptive behavior of the Chinese public toward urban heat based on the MPPACC model

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-02 DOI: 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}

引用次数: 0