Urban Climate最新文献

Quantifying urban hydrological processes effects on urban climate: A perspective from a novel parameterization scheme 量化城市水文过程对城市气候的影响：一种新的参数化方案的视角

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102232

Miao Yu , Jianping Guo , Guiqian Tang

引用次数: 0

Vertical distribution analysis of PM2.5 concentration at urban highway intersections using low-cost sensors and unmanned aerial vehicles 基于低成本传感器和无人机的城市公路交叉口PM2.5浓度垂直分布分析

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102243

Masoud Zarei , Bijan Yeganeh

{"title":"Vertical distribution analysis of PM2.5 concentration at urban highway intersections using low-cost sensors and unmanned aerial vehicles","authors":"Masoud Zarei , Bijan Yeganeh","doi":"10.1016/j.uclim.2024.102243","DOIUrl":"10.1016/j.uclim.2024.102243","url":null,"abstract":"<div><div>The high level of particulate matter (PM) is a critical issue in megacities and a major environmental challenge in urban management. Currently, the vertical distribution of PM concentration has been overlooked at traffic hot spots in the design and construction of high-rise buildings. This study assessed the vertical profile of PM<sub>2.5</sub> concentration using low-cost sensors and drones to find the residents' exposure to PM<sub>2.5</sub> at high-rise buildings. The results showed that the vertical pattern of the PM<sub>2.5</sub> concentration on highways with lower traffic of light-duty vehicles (LDVs) was affected by height, with a 30 % increase in PM<sub>2.5</sub> concentration at 15 m above the ground compared to ground-level concentration. In contrast, the concentration of PM<sub>2.5</sub> on highways with more Heavy-Duty Vehicles (HDVs) traffic at ground levels was about 20 % higher than that at 15 m, gradually decreasing to 23 % at 30 m. The results revealed that PM<sub>2.5</sub> concentration could increase with height in high-rise buildings near highway intersections instead of dilution, which would adversely affect the health of the residents. The findings of this study can be considered by urban planners and decision-makers to reduce PM<sub>2.5</sub> exposure before settling the citizens in high-rise buildings.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102243"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867576","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

Understanding the origins of urban particulate matter pollution based on high-density vehicle-based sensor monitoring and big data analysis 基于高密度车载传感器监测和大数据分析，了解城市颗粒物污染源头

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102241

Yiheng Liang , Xiaohua Wang , Zhongzhen Dong , Xinfeng Wang , Shidong Wang , Shuchun Si , Jing Wang , Hai-Ying Liu , Qingzhu Zhang , Qiao Wang

{"title":"Understanding the origins of urban particulate matter pollution based on high-density vehicle-based sensor monitoring and big data analysis","authors":"Yiheng Liang , Xiaohua Wang , Zhongzhen Dong , Xinfeng Wang , Shidong Wang , Shuchun Si , Jing Wang , Hai-Ying Liu , Qingzhu Zhang , Qiao Wang","doi":"10.1016/j.uclim.2024.102241","DOIUrl":"10.1016/j.uclim.2024.102241","url":null,"abstract":"<div><div>This study presents an innovative method for air quality monitoring and identifying pollution sources in Rizhao, a coastal city in northern China, by deploying a network of low-cost sensors mounted on 102 taxis. Over a one-year period, we collected a set of high-resolution PM<sub>10</sub> and PM<sub>2.5</sub> data. Using big data analysis, including downwind-calm wind analysis, hotspot detection, and time-series clustering analysis, we traced the pollution back to the urban origins of pollutant. Our extensive study uncovered significant spatial and seasonal variations in PM<sub>10</sub> and PM<sub>2.5</sub> concentrations, pinpointing substantial PM<sub>10</sub> emissions from steel plants and a notable influence of industrial activities on ambient PM<sub>2.5</sub> concentrations. Through the application of bivariate polar plots and hotspot mapping, we linked major particulate matter sources to industrial activities especially steel plant emissions, and road traffic, which significantly elevated the particulate matter levels in residential and industrial zones. Our time-series clustering analysis further distinguishes traffic and industrial activities as key contributors to particulate matter pollution. This study advances the application of low-cost sensor technologies in urban air quality management and offers a detailed insight into the pollution sources and their diverse impacts on particulate matter levels in urban settings.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102241"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867578","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

Integrating seasonal climate variability and spatial accessibility in ecosystem service value assessment for optimized NbS allocation

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102314

Yoonshin Kwak , Si Chen

{"title":"Integrating seasonal climate variability and spatial accessibility in ecosystem service value assessment for optimized NbS allocation","authors":"Yoonshin Kwak , Si Chen","doi":"10.1016/j.uclim.2025.102314","DOIUrl":"10.1016/j.uclim.2025.102314","url":null,"abstract":"<div><div>Nature-based Solutions (NbS) efficiently manage ecosystem services (ESs) to address socio-environmental challenges. Strategic NbS planning must consider ecological and social benefits, especially in urban areas with limited resources. However, systemic planning approaches remain lacking in terms of urban climate variability. This study proposes a novel method to optimize ES benefits from NbS allocation, emphasizing ES dynamics under seasonal climate change in an urbanizing Korean city. We estimate seasonal impacts on ecosystem service value (ESV) using dynamic corrections. The Gravity-based Two-Step Floating Catchment Area (G2SFCA) method identifies priority NbS allocation areas based on fine-scale distributions of ecological supply and social demand under different scenarios. Our findings show that water bodies sensitive to seasonal climate changes need strategic management. For NbS planning, prioritizing highly populated areas with low ES access, and deprioritizing sparsely populated areas with limited accessibility due to lower demand, promotes efficient and equitable ES distribution. Considering both the contribution and sensitivity of ESs in terms of supply and demand leads to optimized NbS allocations, maximizing benefits. The study emphasizes the urgent need for integrated natural and social assessments in NbS planning, proposing a framework to guide planners in enhancing NbS implementation efficiency for sustainable urban environments.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102314"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027312","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

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 2区工程技术

Urban Climate Pub Date : 2025-02-01 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":"10.1016/j.uclim.2024.102237","url":null,"abstract":"<div><div>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<sub>2.5</sub> (physically excluded PM<sub>2.5</sub> from SPM) and PM<sub>2.5</sub> 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.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102237"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","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":"OA","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 冶金城市气溶胶来源比较：2012-2013年和2021-2022年PM2.5中低分子量有机酸的证据

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 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":"10.1016/j.uclim.2024.102279","url":null,"abstract":"<div><div>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<sub>2.5</sub> from 2012 –2013 to 2021–2022 in Huangshi, a metallurgy city in China. PM<sub>2.5</sub> 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<sub>2.5</sub>. 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.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102279"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","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

Spatiotemporal variability of the Universal Thermal Climate Index during heat waves using the UrbClim climate model: Implications for tourism destinations. 基于UrbClim气候模式的全球热气候指数在热浪期间的时空变化：对旅游目的地的影响。

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102281

David Hidalgo-García , Dimitra Founda , Hamed Rezapouraghdam

{"title":"Spatiotemporal variability of the Universal Thermal Climate Index during heat waves using the UrbClim climate model: Implications for tourism destinations.","authors":"David Hidalgo-García , Dimitra Founda , Hamed Rezapouraghdam","doi":"10.1016/j.uclim.2024.102281","DOIUrl":"10.1016/j.uclim.2024.102281","url":null,"abstract":"<div><div>There is a close relationship between tourism and climate, the latter being one of the most important factors influencing the choice of destination. Today, rising temperatures and extreme weather events pose significant risks to the tourism sector by affecting the safety and well-being of visitors. Urban tourism is particularly vulnerable due to the additive effect of the urban heat islands which exacerbate heat-related risk in cities. This research aims to examine the spatio-temporal variation of thermal conditions at Seville, a popular tourist destination in Spain, where the tourism sector represents 25 % of the gross domestic product. To this end, the Universal Thermal Climate Index (UTCI) and Landsat 8 images have been used, corresponding to August 2017, when the city experienced two heat waves and decreased number of visitors. Our results showed high variability of the UTCI between 28 and 39 °C corresponding to strong thermal stress that increased in the afternoon hours. During heat waves, this variability intensified by 9.77 %, reaching values between 32 and 42 °C corresponding to very strong thermal stress. Our findings show that adverse thermal conditions negatively affect tourist arrivals, which could lead to significant economic repercussions. Also, our results point to the urgent need for mitigation and resilience measures including the use of Blue Infrastructure (BI), new green areas, naturalizing streets, and use of green facades and roofs. These results will allow the development of adaptation and urban planning policies together with the development of resilience measures that improve the environmental comfort conditions of the historic center and therefore the visitors' experience.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102281"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939709","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 ecological risk due to suspended particulate matter-bound heavy metals deposited on selected plants in an urban area

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2025.102293

Durga Prasad Tripathi, Arvind Kumar Nema

{"title":"Evaluation of ecological risk due to suspended particulate matter-bound heavy metals deposited on selected plants in an urban area","authors":"Durga Prasad Tripathi, Arvind Kumar Nema","doi":"10.1016/j.uclim.2025.102293","DOIUrl":"10.1016/j.uclim.2025.102293","url":null,"abstract":"<div><div>Heavy metal concentrations bound to suspended particulate matter (SPM) originating from industrial processes, vehicular emissions, road dust, and solid waste incineration pose serious ecological risks. Their persistent deposition on vegetation disrupts the ecological balance and endangers environmental health through long-term accumulation in sensitive ecosystems. This study investigated the ecological risks posed by SPM-bound heavy metals (Ag, Cd, Bi, Pb, Ga, Co, Mn, Cu, Mo, Ni, V, Zn, and Cr) deposited on the leaves of selected plant species across Delhi, India, during pre- and post-monsoon. The assessment involved calculating the enrichment factor (EF), contamination factor (C<sub>f</sub>), contamination degree (C<sub>deg</sub>), potential ecological risk factor (E<sub>r</sub>), and potential ecological risk index (PER). Two-way ANOVA, Pearson's correlation, and Hierarchical Cluster Analysis (HCA) were employed for statistical analyses. The highest EF values were recorded for Co (11.23), Pb (3.26), and Ni (7.17) at the traffic-prone site in <em>Bougainvillea glabra</em>. Maximum C<sub>f</sub> values were observed for Cd (3.58) and Zn (11.17). The highest E<sub>r</sub> values were noted for Cd (158.34; <em>Ficus religiosa</em> L), Ni (5.89; <em>F. religiosa</em>), Pb (23.25; <em>Ficus benjamina</em> L), Cu (10.89; <em>F. benjamina</em>), and Zn (13.78; <em>B. glabra</em>). <em>F. religiosa</em> exhibited the highest PER of 199.39, while <em>B. glabra</em> showed the lowest of 110.17. Two-way ANOVA revealed significant differences (<em>p</em> < 0.05) in SPM-bound heavy metal concentrations. Cr exhibited positive correlations (0.358 ≤ <em>r</em> ≤ 0.817) with Ni, Pb, and Cu. Findings highlighted critical ecological risk from SPM-bound heavy metals in urban areas, necessitating suitable mitigation efforts.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102293"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027311","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

Comparison of PM2.5 around 1893 elementary schools and kindergartens in Tehran over different time windows 不同时间窗下德黑兰1893年小学和幼儿园PM2.5的比较

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102249

Mohammad Khanizadeh , Kazem Naddafi , Masud Yunesian , Gerard Hoek , Ramin Nabizadeh , Helen Suh , Sadegh Niazi , Reza Bayat , Fatemeh Momeniha , Mohammad Sadegh Hassanvand , Sasan Faridi

{"title":"Comparison of PM2.5 around 1893 elementary schools and kindergartens in Tehran over different time windows","authors":"Mohammad Khanizadeh , Kazem Naddafi , Masud Yunesian , Gerard Hoek , Ramin Nabizadeh , Helen Suh , Sadegh Niazi , Reza Bayat , Fatemeh Momeniha , Mohammad Sadegh Hassanvand , Sasan Faridi","doi":"10.1016/j.uclim.2024.102249","DOIUrl":"10.1016/j.uclim.2024.102249","url":null,"abstract":"<div><div>We employed a land use regression (LUR) model to estimate ambient fine particulate matter (PM<sub>2.5</sub>) concentrations around elementary schools and kindergartens across Tehran, utilizing 138 predictor variables within buffers ranging from 100 to 2000 m. Among these, nine variables predicted the annual ambient PM<sub>2.5</sub> concentration around elementary schools and kindergartens. The model demonstrated acceptable performance, as indicated by the magnitude of the coefficients of determination (R<sup>2</sup> and adjusted R<sup>2</sup>) and validation metrics such as K-fold cross-validation (K-foldCV) and leave-one-out cross-validation (LOOCV). R<sup>2</sup>, adjusted R<sup>2</sup>, K-foldCV R<sup>2</sup> and LOOCV R<sup>2</sup> were 0.74 and 0.68, 0.68, and 0.55, respectively. The predictor variables included green space, population density, the distance to secondary roads, water channels, fuel/gas stations, main squares, the number of parking lots and mosques. There is a substantial spatial inequality in annual concentration of ambient PM<sub>2.5</sub> across Tehran as nearly all of the schools situated in the north experienced lower levels (< 35 μg/m<sup>3</sup>) compared with those in the south (> 40 μg/m<sup>3</sup>). This pattern observed for the Kindergartens across Tehran. Our findings highlight the importance of infrastructure design changes, such as expanding green spaces and relocating parking lots, to enhance air quality around schools and kindergartens.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102249"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867480","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

Combined effects of future urban development and rainfall patterns on flood characteristics in the Qinhuai River basin 未来城市发展与降雨模式对秦淮河流域洪水特征的综合影响

IF 6 2区工程技术

Urban Climate Pub Date : 2025-02-01 DOI: 10.1016/j.uclim.2024.102256

Yuqin Gao, Xilan Tan, Yunping Liu, Meijuan Xia, Xiao Chen

{"title":"Combined effects of future urban development and rainfall patterns on flood characteristics in the Qinhuai River basin","authors":"Yuqin Gao, Xilan Tan, Yunping Liu, Meijuan Xia, Xiao Chen","doi":"10.1016/j.uclim.2024.102256","DOIUrl":"10.1016/j.uclim.2024.102256","url":null,"abstract":"<div><div>The spatial patterns of urban development and storm characteristics significantly influence flood forecasting and early warning systems in watersheds. This study simulated the spatial distribution pattern of urban land cover under different future scenarios by coupling multi-objective programming (MOP) with the Path-Generating Land Use Simulation (PLUS) models. Then, the HEC-HMS model was used to analyze the response between urban spatial and storm patterns. Results indicated that natural environmental factors contributed significantly to cropland, forest, and grassland, while socioeconomic factors primarily influenced other land types. 6-h and daily rainfall data analysis consistently recognized common storm types—early, late, and mid-peak (Types I, II, and III). With increasing rainfall intensity, the peak flow of Type I occurs earlier. For all scenarios (Natural, Rapid urban, Ecological conservation, Coordinated development), Type II exhibited the highest peak flows, averaging 31.1 % and 8.5 % higher than Types I and III. Under the rapid urban development scenario, peak flow and volumes for all storm types were the highest. Urban development patterns significantly affected flood processes at the subbasin scale, while variations in rainfall patterns impacted the basin scale more significantly. Future urban planning should balance economic growth with ecological sustainability and guard against Type II rainfall patterns during flood prevention.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"59 ","pages":"Article 102256"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888666","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