Urban Climate最新文献_第2页

Spatial bias in placement of citizen and conventional weather stations and their impact on urban climate research: A case study of the Urban Heat Island effect in Canada

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-08 DOI: 10.1016/j.uclim.2024.102280

Priyadharshini Sakthivel, Raja Sengupta

{"title":"Spatial bias in placement of citizen and conventional weather stations and their impact on urban climate research: A case study of the Urban Heat Island effect in Canada","authors":"Priyadharshini Sakthivel, Raja Sengupta","doi":"10.1016/j.uclim.2024.102280","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102280","url":null,"abstract":"Citizen Weather Stations (CWS) are a source of Crowdsourced Geographic Information for urban climate research, which can provide extensive datasets in areas where data are scarce or unavailable. In this article, we explore the efficacy of using meteorological data from CWS in studying the Urban Heat Island (UHI) effect across Canada during late spring and summer of 2022. In particular, we evaluate the distribution of CWS before relying on them for UHI intensity estimates, since potential spatial biases in placement of these sensors can greatly affect canopy-level measurements. We compared the spatial distribution of Netatmo CWS with conventional weather stations from Environment and Climate Change Canada (ECCC), and found that ECCC sensors are more numerous in rural areas, while Netatmo sensors are present in greater numbers in urban areas. We then computed UHI intensity using urban temperature from Netatmo sensors and peri-urban temperature from ECCC sensors. The resulting intensity values were higher than those estimated using either the Netatmo or the ECCC sensors individually, thus highlighting the influence of sensor distribution in estimating UHI magnitude. Overall, our research explores the distribution of both ECCC and CWS sensors, and highlights their potential complementarity in urban climate research.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"10 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939710","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

Predicting environmental pollutants in the apartment public space: Evaluating the impact of spatial enclosure and monitoring locations

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-06 DOI: 10.1016/j.uclim.2024.102277

Yang Lv, Xiaodong Wang, Dan Liu

{"title":"Predicting environmental pollutants in the apartment public space: Evaluating the impact of spatial enclosure and monitoring locations","authors":"Yang Lv, Xiaodong Wang, Dan Liu","doi":"10.1016/j.uclim.2024.102277","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102277","url":null,"abstract":"To effectively reduce monitoring costs for pollutants in complex apartment public spaces and ensure a healthy living environment for residents, this study explores the feasibility of predicting environmental pollution in apartment public spaces through experimental and data analysis methods. By adjusting the spatial enclosure (e.g., window opening or closing) and monitoring locations on the first-floor public space, this research utilizes Spearman rank correlation coefficients and exploratory data analysis (including five linear models, nonlinear models, three tree-based models, one nearest-neighbor model, and one neural network model) to assess how these adjustments impact pollutant correlations and model performance. Results indicate that tree-based models, particularly Decision Tree Regression, consistently outperform other models, demonstrating reliable predictive capabilities across varying enclosure and location conditions. Time granularity and wind direction significantly influence correlations, while pollutants like PM and ozone exhibit unidirectional correlations across different locations. The study also finds that changes in spatial enclosure alter indoor airflow and pollutant diffusion patterns, thereby affecting predictive accuracy. Additionally, this research elucidates the feasibility of spatially predicting environmental pollutants under different conditions, offering practical guidance for low-cost monitoring of apartment public spaces. These findings support sustainable building management, effective pollution control, and enhanced health protection for residents.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"93 6 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939741","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

Simulating urban heat islands and local winds in the Dhaka metropolitan area, Bangladesh

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-06 DOI: 10.1016/j.uclim.2024.102284

Abeda Tabassum, Seong-Ho Hong, Kyeongjoo Park, Jong-Jin Baik

{"title":"Simulating urban heat islands and local winds in the Dhaka metropolitan area, Bangladesh","authors":"Abeda Tabassum, Seong-Ho Hong, Kyeongjoo Park, Jong-Jin Baik","doi":"10.1016/j.uclim.2024.102284","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102284","url":null,"abstract":"Weather and climate changes due to urbanization are of great concern. This study examines urban effects on thermal and wind environments in the Dhaka metropolitan area, Bangladesh. For this, simulations for a case of hot days with weak synoptic forcing are performed using the Weather Research and Forecasting (WRF) model. The differences between the urban and no-urban simulations are analyzed. In the urban simulation, the daytime sensible (latent) heat flux is considerably increased (reduced) and convective activities are enhanced. The nighttime (0000–0500 LST) urban heat island (UHI) is much stronger than the daytime (1200–1700 LST) UHI. In the daytime, the UHI effect on local winds is more important than the urban surface roughness effect. In the nighttime, the relative importance of the UHI and urban surface roughness effects differs depending on the region for given prevailing winds. Impacts of increases in anthropogenic heat and urban size are examined. As the anthropogenic heat increases, the UHI and the UHI effect on local winds strengthen. As the urban size increases, the UHI and the UHI effect on local winds strengthen and the surface roughness effect appears in wider areas. This study provides further insights into urban effects on local winds.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"44 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939744","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 drought on cooling capacity and carbon sequestration in urban green area

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-04 DOI: 10.1016/j.uclim.2024.102244

Gabriele Guidolotti, Terenzio Zenone, Theodore Endreny, Rocco Pace, Marco Ciolfi, Michele Mattioni, Emanuele Pallozzi, Negar Rezaie, Teresa Bertolini, Chiara Corradi, Carlo Calfapietra

{"title":"Impact of drought on cooling capacity and carbon sequestration in urban green area","authors":"Gabriele Guidolotti, Terenzio Zenone, Theodore Endreny, Rocco Pace, Marco Ciolfi, Michele Mattioni, Emanuele Pallozzi, Negar Rezaie, Teresa Bertolini, Chiara Corradi, Carlo Calfapietra","doi":"10.1016/j.uclim.2024.102244","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102244","url":null,"abstract":"Through experimental observations of carbon and energy exchange in Urban Green Areas (UGA) using the Eddy Covariance technique we show that the vegetation air cooling capacity and carbon uptake are influenced by water availability: multivariate analysis shows that solar radiation (Rg) was the primary control factor in latent heat (LE) and CO<ce:inf loc=\"post\">2</ce:inf> fluxes followed by the air temperature (T<ce:inf loc=\"post\">air</ce:inf>) and Vapor pressure deficit (VPD). The relative importance of VPD was higher in correspondence of the year characterized by drought condition. The mature UGA investigated was a net carbon sink only during the summer season from June to September while on annual basis was a carbon source for all the years investigated. The summer average daytime UGA air temperature cooling potential ranged from 3.02 °C (± 1.4) during the wet season, to 2.1 °C (± 1.3) during the dry season. The city-scale application of the i-Tree model highlighted the reduced cooling potential effect of the UGA during dry periods, relative to those with better soil water supply from precipitation and indicates that, in case an emergency irrigation would be possible, about 50 L m<ce:sup loc=\"post\">−2</ce:sup> during the drought period would compensate the water shortage.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"99 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939714","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

Disentangling the non-linear relationships and interaction effects of urban digital transformation on carbon emission intensity

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-03 DOI: 10.1016/j.uclim.2024.102283

Wentao Wang, Shenghua Zhou, Dezhi Li, Yang Wang, Xuefan Liu

{"title":"Disentangling the non-linear relationships and interaction effects of urban digital transformation on carbon emission intensity","authors":"Wentao Wang, Shenghua Zhou, Dezhi Li, Yang Wang, Xuefan Liu","doi":"10.1016/j.uclim.2024.102283","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102283","url":null,"abstract":"The inexorable rise of urban digital transformation (UDT) underscores the imperative of comprehending its complex relationships with carbon emissions intensity (CEI). Existing studies primarily focus on the linear relationships between individual UDT variables and CEI, overlooking non-linear dynamics and interactive effects, which may result in incomplete estimations. To address these gaps, this study develops an interpretable machine learning (IML) model that integrates machine learning (ML) techniques and SHAP (SHapley Additive exPlanations), to uncover the non-linear relationships and interaction effects of UDT on CEI. The results reveal the following: (1) The proposed IML model achieves high accuracy in modeling the relationships between multiple UDT variables and CEI (R<ce:sup loc=\"post\">2</ce:sup> = 0.932, RMSE = 0.899, MAE = 0.543, 2); (2) Non-linear relationships between all UDT variables and CEI are confirmed, and two types of threshold points are identified where variable impacts shift from negative to positive and vice versa; (3) Interactive effects among UDT variables are examined, with thresholds quantified and U-shaped and inverted U-shaped trends identified. These findings provide a foundation for policymakers and urban managers to implement strategies that simultaneously advance digital transformation and promote low-carbon development.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"75 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939712","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

Study on the efficiency evolution of carbon emissions and factors affecting them in 143 countries worldwide

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-03 DOI: 10.1016/j.uclim.2024.102265

Fugui Dong, Peijun Wang, Wanying Li

{"title":"Study on the efficiency evolution of carbon emissions and factors affecting them in 143 countries worldwide","authors":"Fugui Dong, Peijun Wang, Wanying Li","doi":"10.1016/j.uclim.2024.102265","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102265","url":null,"abstract":"Global warming caused by carbon emissions has been recognized as a threat to public health and welfare. Therefore, carbon emission reduction is necessary for countries to cope with the serious challenges posed by global warming. In this study, we first calculated the (carbon emission efficiency) CEE of 143 countries from 2016 to 2021 using the super-efficiency SBM method. We constructed the Markov chain probability transfer matrix to study each country's state evolution and transfer probability of CEE. Secondly, the CEE changes of each country in different periods are explored based on the Malmquist index method. Finally, the 143 countries are categorized into 5 zonal groups using the K-means clustering method, and the carbon emission impact factors (CEIF) in different zonal groups are explored based on the STIRPAT model. The study results show that (1) 91 of the 143 countries in the world have yet to reach the average level of CEE, and the CEE varies greatly among countries. (2) The probability of state transfer of CEE types in each country is small, and there is transfer inertia and hierarchical solidification. (3) Among the 9 CEIF, the level of urbanization (UL) and electricity supply (ES) have the greatest impact on carbon emissions, followed by the level of technology (TL) and foreign trade (FT).","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"27 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918069","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

Disaster losses in Shanghai decreased under rapid urbanization: Evidence from 1980 to 2019

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-02 DOI: 10.1016/j.uclim.2024.102278

Li Li, Jiahong Wen, Yong Shi, Yuxi Chen, Zhongchao Shi, Yanjuan Wu, Jianli Liu, Tongfei Tian, Jianping Yan, Luna Zhao, Qiang Dong

{"title":"Disaster losses in Shanghai decreased under rapid urbanization: Evidence from 1980 to 2019","authors":"Li Li, Jiahong Wen, Yong Shi, Yuxi Chen, Zhongchao Shi, Yanjuan Wu, Jianli Liu, Tongfei Tian, Jianping Yan, Luna Zhao, Qiang Dong","doi":"10.1016/j.uclim.2024.102278","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102278","url":null,"abstract":"In the context of rapid urbanization, understanding the spatiotemporal evolution of disasters in coastal cities is critical for disaster risk management and building urban resilience. This study established a comprehensive database of historical disasters from 1980 to 2019 to analyze the spatiotemporal characteristics of disaster losses in Shanghai, using both absolute and relative loss indicators, as well as disaster loss matrices. The results indicate that typhoons (with a composite loss index of 0.94), floods (0.74), and hailstorms (0.46) have been the major disasters affecting Shanghai over the past 40 years. Typhoons have had the greatest impact in terms of affected population, crop failure area, and the number of damaged and collapsed houses. Nearly half of the affected crop area and the crop failure were caused by floods, while hailstorms have posed the greatest threat to human life. Spatially, disasters have been more severe in the suburbs of Shanghai, while the central urban areas have been relatively less affected. Since the 1980s, rapid urbanization in Shanghai has significantly increased the exposure of population and assets; however, disaster severity has noticeably decreased. This reduction is attributed to advancements in socioeconomic development, urban planning and renewal, infrastructure investment, governance and risk management practices, technological innovation, and early warning systems, all of which have remarkably reduced the vulnerability of urban systems and enhanced the city's disaster resilience. Shanghai's experiences offer valuable insights for other coastal cities in developing countries as they pursue safer urban growth.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"72 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918071","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

IF 6.4 2区工程技术

Urban Climate Pub Date : 2025-01-02 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":"https://doi.org/10.1016/j.uclim.2024.102260","url":null,"abstract":"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.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"88 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-01-02","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

Comparing aerosol sources in a metallurgy city: Evidence from low molecular weight organic acids in PM2.5 between 2012–2013 and 2021–2022

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-31 DOI: 10.1016/j.uclim.2024.102279

Shan Liu, Kimitaka Kawamura, Bhagawati Kunwar, Ambarish Pokhrel, Changlin Zhan, Hongxia Liu, Jiaquan Zhang, Jihong Quan

{"title":"Comparing aerosol sources in a metallurgy city: Evidence from low molecular weight organic acids in PM2.5 between 2012–2013 and 2021–2022","authors":"Shan Liu, Kimitaka Kawamura, Bhagawati Kunwar, Ambarish Pokhrel, Changlin Zhan, Hongxia Liu, Jiaquan Zhang, Jihong Quan","doi":"10.1016/j.uclim.2024.102279","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102279","url":null,"abstract":"Understanding the decadal evolution of atmospheric pollutants is essential for evaluating environmental policies and their impact on air quality. This study examines changes in low molecular weight (LMW) dicarboxylic acids (diacids) and related compounds in PM<ce:inf loc=\"post\">2.5</ce:inf> from 2012 –2013 to 2021–2022 in Huangshi, a metallurgy city in China. PM<ce:inf loc=\"post\">2.5</ce:inf> and associated organic components, including total carbon (TC), LMW diacids, and α-dicarbonyls were halved over the decade. However, seasonal trends of diacids relative to TC remained similar, suggesting that anthropogenic, and biogenic emission activities and oxidation processes still strongly influence on organic species in the local PM<ce:inf loc=\"post\">2.5</ce:inf>. During more recent years, we found increased relative abundances of short-chain diacids and related species (oxalic, malonic, succinic, glyoxylic, and pyruvic acids) in TC, whereas those of phthalic, terephthalic, adipic, azelaic, 9-oxononanoic acids and α-dicarbonyls decreased. These comparisons provide the first evidence for the decadal development of environmental policy, which caused a significant source change from anthropogenic to biogenic emissions along with photochemical aging of organic aerosols. We also suggest climate-related changes, including increased UV irradiation and ozone formation, resulting in an enhanced atmospheric oxidizing capability. This study will be useful for policymakers for the improvement of air quality and its outcomes in mining cities.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"19 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918074","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

Disparities in the impact of urban heat island effect on particulate pollutants at different pollution stages - A case study of the “2 + 36” cities

IF 6.4 2区工程技术

Urban Climate Pub Date : 2024-12-31 DOI: 10.1016/j.uclim.2024.102273

Chang Yinghui, Guo Xiaomin

{"title":"Disparities in the impact of urban heat island effect on particulate pollutants at different pollution stages - A case study of the “2 + 36” cities","authors":"Chang Yinghui, Guo Xiaomin","doi":"10.1016/j.uclim.2024.102273","DOIUrl":"https://doi.org/10.1016/j.uclim.2024.102273","url":null,"abstract":"Urban heat island (UHI) and atmospheric pollution are critical ecological challenges in urban areas. China's air quality presents a stage-specific “polluting first and cleaning up later” model. However, the differential impact of UHI on particulate matter (PM) pollution across various stages remains unclear. This study utilizes land surface temperature (LST) data between 2000 and 2021 to calculate the surface urban heat island intensity (SUHII) across the “2 + 36” cities, a key pollution prevention and control area. The inflection points of PM pollution in each city were identified through piecewise linear regression, dividing the study period into distinct pollution stage. The geographical and temporal weighted regression (GTWR) model was employed to analyze the varying impacts of SUHII on PM pollution across different stages. The result indicate that UHI persisted significantly during the study period. The impact of SUHII on PM pollution exhibits pronounced temporal and regional characteristics, with an increasing influence of Nighttine SUHII (N_SUHII) on pollution. This finding highlights a crucial entry point for future pollution control measures. Moreover, under the influence of SUHII, ecological factors such as enhanced vegetation index and precipitation may paradoxically exacerbate PM pollution at certain times. These findings reveal the multifaceted causes and dynamics of urban PM pollution in developing countries, validate the necessity of implementing targeted management measures in the context of future climate change, and are important for the formulation of strategies to promote sustainable urban development.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"88 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918077","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