Sustainable Cities and Society最新文献_第8页

Optimizing urban green space configurations for enhanced heat island mitigation: A geographically weighted machine learning approach

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106087

Yue Zhang, Jingtian Ge, Siyuan Wang, Cong Dong

As global warming intensifies, urban heat islands (UHIs) threaten human health. Green spaces are crucial for mitigating UHIs, yet their expansion is limited. Consequently, optimizing the layout of existing green spaces to maximize their cooling effects is vital. However, the answers of which green space morphology is most beneficial vary across different study areas. This study employs an improved Gaussian kernel geographically weighted random forest (GWRF) model to assess the nonlinear relationship between green spaces morphology and Land Surface Temperature (LST), comparing the performance of this model with three traditional models (OLS, GWR, and RF). The results reveal that green spaces with more complex boundaries, larger individual areas, and concentrated distributions exhibited superior cooling effects. However, the sensitivity to these factors varied across different city functional zones: transportation zones were most influenced by the total area of green spaces, industrial zones by the average size, and commercial zones by the total area and boundary complexity. The Gaussian kernel-enhanced GWRF model outperformed other models, as indicated by its higher R² values in both summer and winter (R²_GWRF=0.888, R²_OLS=0.647, R²_GWR=0.721, R²_RF=0.675 in summer; R²_GWRF=0.791, R²_OLS=0.307, R²_GWR=0.673, R²_RF=0.454 in winter). This study introduces novel methodologies and perspectives for restructuring urban greenery to mitigate the UHI effect, highlighting the significant potential of GWRF in addressing spatially dependent.

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引用次数: 0

Mapping lifecycle building material embodied carbon emissions for Beijing-Tianjin-Hebei urban agglomeration

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106058

Xiaoyu Zheng , Bowen Cai , Jooyoung Park , Bumsuk Seo , Siyuan Wang , Zhenfeng Shao

Accurate carbon accounting is crucial for global climate change mitigation efforts. Building Material Embodied Carbon Emissions (BMCE) constitutes a significant portion of urban carbon footprints. However, the map of it at the building level remains sparse. This study proposes a model integrating multi-source remote sensing data for lifecycle BMCE mapping and assesses the building carbon efficiency according to eco-efficiency theory. Results show that BMCE in Beijing-Tianjin-Hebei urban agglomeration has a total of 3,946

{MtCO}_{2} e

, with intensity of 600

{kgCO}_{2} e / m^{2}

. BMCE of residential buildings is the highest, double that of public buildings. Approximately 60 % of buildings are in low carbon efficiency. They emit more than 2,367

{MtCO}_{2} e

. This study provides valuable insights into the statistical and spatial characteristics of lifecycle BMCE and highlights the importance of carbon efficiency analysis for future urban carbon reduction.

{"title":"Mapping lifecycle building material embodied carbon emissions for Beijing-Tianjin-Hebei urban agglomeration","authors":"Xiaoyu Zheng , Bowen Cai , Jooyoung Park , Bumsuk Seo , Siyuan Wang , Zhenfeng Shao","doi":"10.1016/j.scs.2024.106058","DOIUrl":"10.1016/j.scs.2024.106058","url":null,"abstract":"<div><div>Accurate carbon accounting is crucial for global climate change mitigation efforts. Building Material Embodied Carbon Emissions (BMCE) constitutes a significant portion of urban carbon footprints. However, the map of it at the building level remains sparse. This study proposes a model integrating multi-source remote sensing data for lifecycle BMCE mapping and assesses the building carbon efficiency according to eco-efficiency theory. Results show that BMCE in Beijing-Tianjin-Hebei urban agglomeration has a total of 3,946 <span><math><mrow><msub><mrow><mi>MtCO</mi></mrow><mn>2</mn></msub><mrow><mi>e</mi></mrow></mrow></math></span>, with intensity of 600 <span><math><mrow><msub><mrow><mi>kgCO</mi></mrow><mn>2</mn></msub><mrow><mi>e</mi></mrow><mo>/</mo><msup><mrow><mrow><mi>m</mi></mrow></mrow><mn>2</mn></msup></mrow></math></span>. BMCE of residential buildings is the highest, double that of public buildings. Approximately 60 % of buildings are in low carbon efficiency. They emit more than 2,367 <span><math><mrow><msub><mrow><mi>MtCO</mi></mrow><mn>2</mn></msub><mrow><mi>e</mi></mrow></mrow></math></span>. This study provides valuable insights into the statistical and spatial characteristics of lifecycle BMCE and highlights the importance of carbon efficiency analysis for future urban carbon reduction.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106058"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 heat and moisture coupling transfer characteristics with surrounding rock in subway tunnel under fluctuation boundary condition

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106086

Xiaoling Cao, Qian Zhang, Xu Zhou, Ziyu Leng

The study of heat storage performance in the surrounding rock and heat transfer between it and the air within the subway tunnel was of significance to the thermal environment. However, most researches ignored the impact of humidity. In this study, a mathematical model coupled heat and moisture transfer was established considering the piston wind. The interannual variation of moisture and heat transfer was explored under the influence of periodic fluctuations. Simultaneously, the characteristics of moisture and heat reservoirs across various regions were analyzed. It has been revealed that the coupled moisture and heat transfer in surrounding rock influenced by the piston winds, which plays an important role in the subway tunnels. The moisture flux on the wall surface increased by 1.6 times when the piston effect was taken into account, and the heat flux increased by 1.15 times. The consideration of heat and moisture coupling lead to a 17 % expansion of the surrounding rock's heat circle in 30 days and a 19.3 % expansion in 365 days, respectively. Under the boundary condition of cyclic fluctuating temperature and relative humidity, the temperature and moisture of the rock in the interval tunnels exhibited interannual fluctuations, and then reached a state of dynamic equilibrium.

{"title":"Study on the heat and moisture coupling transfer characteristics with surrounding rock in subway tunnel under fluctuation boundary condition","authors":"Xiaoling Cao, Qian Zhang, Xu Zhou, Ziyu Leng","doi":"10.1016/j.scs.2024.106086","DOIUrl":"10.1016/j.scs.2024.106086","url":null,"abstract":"<div><div>The study of heat storage performance in the surrounding rock and heat transfer between it and the air within the subway tunnel was of significance to the thermal environment. However, most researches ignored the impact of humidity. In this study, a mathematical model coupled heat and moisture transfer was established considering the piston wind. The interannual variation of moisture and heat transfer was explored under the influence of periodic fluctuations. Simultaneously, the characteristics of moisture and heat reservoirs across various regions were analyzed. It has been revealed that the coupled moisture and heat transfer in surrounding rock influenced by the piston winds, which plays an important role in the subway tunnels. The moisture flux on the wall surface increased by 1.6 times when the piston effect was taken into account, and the heat flux increased by 1.15 times. The consideration of heat and moisture coupling lead to a 17 % expansion of the surrounding rock's heat circle in 30 days and a 19.3 % expansion in 365 days, respectively. Under the boundary condition of cyclic fluctuating temperature and relative humidity, the temperature and moisture of the rock in the interval tunnels exhibited interannual fluctuations, and then reached a state of dynamic equilibrium.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106086"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106084

Zhen He , Zhiqiang Wu , Otthein Herzog , Jinghao Hei , Lan Li , Xiang Li

Extreme heat and air pollution are critical environmental issues that directly impact human health, and their effects are exacerbated under climate change. While numerous studies have investigated the health impacts of extreme heat or air pollution individually, limited research focuses on their combined effects. To address this gap, we constructed an interpretable spatial machine learning model to explore the synergistic interactions between extreme heat and ozone on cancer incidence across 731 urban areas in China. Our model revealed that nighttime extreme heat intensity has stronger association with cancer incidence compared to daytime heat, and that combined exposure to extreme heat and ozone amplifies health risks. We identified significant nonlinear relationships and threshold effects among environmental exposures and health outcomes. Building on these findings, we developed the Urban Dual Environmental Exposure Risk Index (UDEERI) based on IPCC's hazard-exposure-vulnerability framework. UDEERI highlighted significant regional disparities in health risks, identifying high-risk regions primarily in northwestern deserts, central China, eastern coastal areas, and Sichuan-Chongqing metropolitan cluster. Our study fills a critical gap in understanding the compound health risks of extreme heat and elevated ozone under climate change, providing important scientific evidence to support targeted prevention and intervention strategies for sustainable and healthy cities.

{"title":"Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China","authors":"Zhen He , Zhiqiang Wu , Otthein Herzog , Jinghao Hei , Lan Li , Xiang Li","doi":"10.1016/j.scs.2024.106084","DOIUrl":"10.1016/j.scs.2024.106084","url":null,"abstract":"<div><div>Extreme heat and air pollution are critical environmental issues that directly impact human health, and their effects are exacerbated under climate change. While numerous studies have investigated the health impacts of extreme heat or air pollution individually, limited research focuses on their combined effects. To address this gap, we constructed an interpretable spatial machine learning model to explore the synergistic interactions between extreme heat and ozone on cancer incidence across 731 urban areas in China. Our model revealed that nighttime extreme heat intensity has stronger association with cancer incidence compared to daytime heat, and that combined exposure to extreme heat and ozone amplifies health risks. We identified significant nonlinear relationships and threshold effects among environmental exposures and health outcomes. Building on these findings, we developed the Urban Dual Environmental Exposure Risk Index (UDEERI) based on IPCC's hazard-exposure-vulnerability framework. UDEERI highlighted significant regional disparities in health risks, identifying high-risk regions primarily in northwestern deserts, central China, eastern coastal areas, and Sichuan-Chongqing metropolitan cluster. Our study fills a critical gap in understanding the compound health risks of extreme heat and elevated ozone under climate change, providing important scientific evidence to support targeted prevention and intervention strategies for sustainable and healthy cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106084"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-perspective evaluation framework of three-dimensional cooling and energy saving potential of urban parks based on numerical simulation

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106109

Jianfeng Gao , Linlin Zhang , Qingyan Meng , Xinli Hu , Stephen J. Livesley

Urban parks can moderate local microclimates and mitigate the urban heat island effect prevalent in cities. Previous research has studied the cooling benefits of parks as well as their potential for energy conservation benefits for local buildings. However, there remains a poor understanding of the nuanced and three-dimensional mechanisms underlying the cooling benefits of urban parks. This study introduces a novel framework of indicators to comprehensively evaluate the three-dimensional cooling properties of parks, encompassing factors such as intensity, volume, and energy saving potential efficiency. The dynamic three-dimensional changes in the cooling effect and energy saving potential of two representative urban parks selected by multisource remote sensing data were simulated during spring, summer and winter days using the ENVI-met microclimate model. The results show that while seasonal variations impact park cooling and energy saving potential, the differences between individual parks outweigh these variations. Factors such as internal vegetation layout, surrounding building morphology, and prevailing wind direction emerge as pivotal factors on the cooling effects, particularly the cooling volume. Notably, the evaluation indicators exhibit distinct patterns of variation between intraday and seasonal analyses, with energy saving efficiency per unit volume demonstrating greatest stability. Furthermore, the exponential growth in the cumulative energy saving potential observed in the larger parks, despite diminishing returns in energy saving efficiency per unit volume. By highlighting the practical importance of evaluating park cooling and energy saving potential from multi-perspective, this study provides new insights into urban park design and management to mitigate urban heat.

{"title":"Multi-perspective evaluation framework of three-dimensional cooling and energy saving potential of urban parks based on numerical simulation","authors":"Jianfeng Gao , Linlin Zhang , Qingyan Meng , Xinli Hu , Stephen J. Livesley","doi":"10.1016/j.scs.2024.106109","DOIUrl":"10.1016/j.scs.2024.106109","url":null,"abstract":"<div><div>Urban parks can moderate local microclimates and mitigate the urban heat island effect prevalent in cities. Previous research has studied the cooling benefits of parks as well as their potential for energy conservation benefits for local buildings. However, there remains a poor understanding of the nuanced and three-dimensional mechanisms underlying the cooling benefits of urban parks. This study introduces a novel framework of indicators to comprehensively evaluate the three-dimensional cooling properties of parks, encompassing factors such as intensity, volume, and energy saving potential efficiency. The dynamic three-dimensional changes in the cooling effect and energy saving potential of two representative urban parks selected by multisource remote sensing data were simulated during spring, summer and winter days using the ENVI-met microclimate model. The results show that while seasonal variations impact park cooling and energy saving potential, the differences between individual parks outweigh these variations. Factors such as internal vegetation layout, surrounding building morphology, and prevailing wind direction emerge as pivotal factors on the cooling effects, particularly the cooling volume. Notably, the evaluation indicators exhibit distinct patterns of variation between intraday and seasonal analyses, with energy saving efficiency per unit volume demonstrating greatest stability. Furthermore, the exponential growth in the cumulative energy saving potential observed in the larger parks, despite diminishing returns in energy saving efficiency per unit volume. By highlighting the practical importance of evaluating park cooling and energy saving potential from multi-perspective, this study provides new insights into urban park design and management to mitigate urban heat.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106109"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Older adults’ preferences and behaviour during warm weather and heatwaves in the urban environment: A case study in southwestern Sweden

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106065

Jessika Lönn , Sandra Lujic , Fredrik Lindberg , Isabelle Hansson , Pär Bjälkebring , Susanne Gustafsson , Marie Kivi , Sofia Thorsson

In the face of a warming climate and an ageing population, developing age-friendly urban areas is increasingly important. This study investigates the impact of the urban environment and socio-demographic factors on older adults’ perceptions of indoor heat and outdoor activity during warm summers and heatwaves. The study takes a novel approach, incorporating survey data from older adults (age 64–92, n = 348) living in southwestern Sweden, with data on tree canopy coverage, building volume, and distance to water from geographical information systems (GIS). We further examine older adults’ preferences for different types of urban environments during heatwaves and desirable environmental features during warm days.

Results show that older adults living in areas with higher tree canopy coverage, close to parks, or with access to summer residences are less bothered by indoor heat during warm weather. Those living in urban areas with higher tree coverage and those having acess to a summer residences are less likely to avoid outdoor activity during heatwaves. Shade is the most desirable feature during warm days, with a majority seeking it in green areas. These findings highlight the importance of urban greenery and proximity to parks in ensuring outdoor activity, health, and well-being among older adults during warm summers and heatwaves.

{"title":"Older adults’ preferences and behaviour during warm weather and heatwaves in the urban environment: A case study in southwestern Sweden","authors":"Jessika Lönn , Sandra Lujic , Fredrik Lindberg , Isabelle Hansson , Pär Bjälkebring , Susanne Gustafsson , Marie Kivi , Sofia Thorsson","doi":"10.1016/j.scs.2024.106065","DOIUrl":"10.1016/j.scs.2024.106065","url":null,"abstract":"<div><div>In the face of a warming climate and an ageing population, developing age-friendly urban areas is increasingly important. This study investigates the impact of the urban environment and socio-demographic factors on older adults’ perceptions of indoor heat and outdoor activity during warm summers and heatwaves. The study takes a novel approach, incorporating survey data from older adults (age 64–92, n = 348) living in southwestern Sweden, with data on tree canopy coverage, building volume, and distance to water from geographical information systems (GIS). We further examine older adults’ preferences for different types of urban environments during heatwaves and desirable environmental features during warm days.</div><div>Results show that older adults living in areas with higher tree canopy coverage, close to parks, or with access to summer residences are less bothered by indoor heat during warm weather. Those living in urban areas with higher tree coverage and those having acess to a summer residences are less likely to avoid outdoor activity during heatwaves. Shade is the most desirable feature during warm days, with a majority seeking it in green areas. These findings highlight the importance of urban greenery and proximity to parks in ensuring outdoor activity, health, and well-being among older adults during warm summers and heatwaves.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106065"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Association between air temperature exposure and childhood rhinitis risk, and the mediating role of ambient O3: A multi-city study of 40,103 Chinese preschool children

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106122

Zhiping Niu , Ling Zhang , Xin Zhang , Chan Lu , Tingting Wang , Xiaohong Zheng , Dan Norback , Juan Wang , Yanyi Xu , Jing Wei , Feng Li , Li Peng , Zhenhua Zhang , Tippawan Prapamontol , Wei Yu , Qihong Deng , Zhuohui Zhao

Higher air temperature and increased ambient ozone (O₃) concentration have been associated with childhood rhinitis risk. However, the potential mediating role of elevated O₃ in the increased childhood rhinitis risk due to higher air temperature exposure has not been examined. This large-scale cross-sectional study included 40,103 preschool children from 7 Chinese capital cities. Information on ever-rhinitis, current-rhinitis, and doctor-diagnosed allergic rhinitis (AR) was collected using a standardized questionnaire. Average air temperature (TEMavg) and O₃ concentration in the whole year, warm season, and cold season were estimated at 1 km spatial resolution. The findings revealed that exposure to higher air temperature (annual TEMavg, warm season TEMavg, and cold season TEMavg) and ambient O₃ (annual O₃, and warm season O₃) were associated with an elevated risk of ever-rhinitis, current-rhinitis, and doctor-diagnosed AR. Moreover, elevated O₃ concentration played important mediation effects on the relationships between higher air temperature and childhood rhinitis risk, with the mediated proportions ranging from 19.92% to 35.14% for the whole year, 18.62% to 32.82% for the warm season, and 3.85% to 13.32% for the cold season. Our study highlighted that controlling O₃ pollution may be an effective approach to mitigate the increasing childhood rhinitis risk due to global warming.

{"title":"Association between air temperature exposure and childhood rhinitis risk, and the mediating role of ambient O3: A multi-city study of 40,103 Chinese preschool children","authors":"Zhiping Niu , Ling Zhang , Xin Zhang , Chan Lu , Tingting Wang , Xiaohong Zheng , Dan Norback , Juan Wang , Yanyi Xu , Jing Wei , Feng Li , Li Peng , Zhenhua Zhang , Tippawan Prapamontol , Wei Yu , Qihong Deng , Zhuohui Zhao","doi":"10.1016/j.scs.2024.106122","DOIUrl":"10.1016/j.scs.2024.106122","url":null,"abstract":"<div><div>Higher air temperature and increased ambient ozone (O<sub>3</sub>) concentration have been associated with childhood rhinitis risk. However, the potential mediating role of elevated O<sub>3</sub> in the increased childhood rhinitis risk due to higher air temperature exposure has not been examined. This large-scale cross-sectional study included 40,103 preschool children from 7 Chinese capital cities. Information on ever-rhinitis, current-rhinitis, and doctor-diagnosed allergic rhinitis (AR) was collected using a standardized questionnaire. Average air temperature (TEMavg) and O<sub>3</sub> concentration in the whole year, warm season, and cold season were estimated at 1 km spatial resolution. The findings revealed that exposure to higher air temperature (annual TEMavg, warm season TEMavg, and cold season TEMavg) and ambient O<sub>3</sub> (annual O<sub>3</sub>, and warm season O<sub>3</sub>) were associated with an elevated risk of ever-rhinitis, current-rhinitis, and doctor-diagnosed AR. Moreover, elevated O<sub>3</sub> concentration played important mediation effects on the relationships between higher air temperature and childhood rhinitis risk, with the mediated proportions ranging from 19.92% to 35.14% for the whole year, 18.62% to 32.82% for the warm season, and 3.85% to 13.32% for the cold season. Our study highlighted that controlling O<sub>3</sub> pollution may be an effective approach to mitigate the increasing childhood rhinitis risk due to global warming.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106122"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 dual-feature channel deep network with adaptive variable weight reconstruction for urban water demand prediction

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106118

Sibo Xia , Hongqiu Zhu , Ning Zhang , Yonggang Li , Can Zhou

Accurate urban water demand forecasting is essential for the rational allocation of water resources and production scheduling, and it is the fundamental guarantee for the safe and efficient operation of water supply systems. However, abrupt changes in exogenous variables can alter user water consumption patterns, introducing uncertainty into urban water demand forecasting. Additionally, fluctuations in residential water demand result in substantial historical noise and mixed variation characteristics within the data, posing challenges to accurate prediction. To address this issue, we propose a frequency improved Legendre memory model with linear-nonlinear dual feature channels, aiming to achieve precise water demand forecasting by thoroughly learning the regularity of urban water usage. In the data instantiation module, we introduce an adaptive gating mechanism to reallocate variable weights, establishing an accurate mapping relationship between exogenous variables and the target variable. Meanwhile, the model's dual-channel structure captures both linear and nonlinear features from historical data, reducing feature extraction complexity while suppressing high-frequency noise. Validated by real urban water demand datasets, this model demonstrates superior performance, achieving accurate water demand forecasting in multiple scenarios. Additionally, the model exhibits strong applicability, consistently achieving the best performance across multiple tasks in public datasets.

{"title":"A dual-feature channel deep network with adaptive variable weight reconstruction for urban water demand prediction","authors":"Sibo Xia , Hongqiu Zhu , Ning Zhang , Yonggang Li , Can Zhou","doi":"10.1016/j.scs.2024.106118","DOIUrl":"10.1016/j.scs.2024.106118","url":null,"abstract":"<div><div>Accurate urban water demand forecasting is essential for the rational allocation of water resources and production scheduling, and it is the fundamental guarantee for the safe and efficient operation of water supply systems. However, abrupt changes in exogenous variables can alter user water consumption patterns, introducing uncertainty into urban water demand forecasting. Additionally, fluctuations in residential water demand result in substantial historical noise and mixed variation characteristics within the data, posing challenges to accurate prediction. To address this issue, we propose a frequency improved Legendre memory model with linear-nonlinear dual feature channels, aiming to achieve precise water demand forecasting by thoroughly learning the regularity of urban water usage. In the data instantiation module, we introduce an adaptive gating mechanism to reallocate variable weights, establishing an accurate mapping relationship between exogenous variables and the target variable. Meanwhile, the model's dual-channel structure captures both linear and nonlinear features from historical data, reducing feature extraction complexity while suppressing high-frequency noise. Validated by real urban water demand datasets, this model demonstrates superior performance, achieving accurate water demand forecasting in multiple scenarios. Additionally, the model exhibits strong applicability, consistently achieving the best performance across multiple tasks in public datasets.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106118"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Enhancing urban water resilience through stormwater reuse for toilet flushing

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106074

Stefania Piazza , Mariacrocetta Sambito , Noemi Maglia , Francesco Puoti , Anita Raimondi

Droughts can sometimes make water supply critical, particularly in urban areas, which are particularly vulnerable to water scarcity due to the growing demand caused by urbanization. To improve the resilience of water networks, the use of alternative water resources, such as rainwater, can support traditional networks. The present study proposes a new version of an analytic-probabilistic approach to evaluate the probability of stormwater reuse for toilet flushing. It considers water demand as a random variable in the modelling, simplifies the contribution of previous rainfalls to rainwater availability, and makes use of a cloud-streaming platform for the statistical analysis and predictions of users’ consumptions. The equations were tested in a case study in a residential district of the city of Palermo (Italy), where a field campaign collected measurements for water demand from toilet flushing for different users and roof surfaces. The validation of the new formulas confirms the reliability of the model, which allows for expeditious verification of the efficiency of rainwater harvesting systems under different weather and demand conditions. It serves as a supporting tool in both the design and performance estimation of such systems, contributing to the sustainable management of water resources.

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引用次数: 0

A novel method for quantifying the harmonious balance of human-water relationship

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106082

Qiting Zuo , Qingsong Wu , Zhizhuo Zhang , Junxia Ma , Jiaoyang Wang , Chenguang Zhao

This study proposed a set of methods for quantifying the harmonious balance of human-water relationship (HWRHB), facilitating a comprehensive understanding and evaluation of the human-water relationship (HWR). Firstly, a theoretical analysis of the HWR was conducted to clarify the HWRHB. Secondly, universal quantification methods for the HWRHB were developed for state assessment, evolution analysis, and driver identification. Thirdly, multi-index comprehensive evaluation was combined to describe the human-water system and achieve the assessment of the HWRHB. Finally, the proposed method was applied to the 18 cities in Henan Province, China. Results show that the direction of the HWRHB in Henan is hysteresis of the water system, with the state showing moderate imbalance or better, and the human-water system in or above a state of proximity disharmony, indicating that competition in the HWR is manageable. The water system generally played a positive role in improving the HWRHB composite state, while the water resource endowment remains the dominant factor due to its high variability. The methods effectively depict and quantify the HWR, demonstrating strong scientific validity and promise. Findings provide theoretical and methodological support for future HWR studies, aid in regulating the HWR in Henan, and promote regional sustainable development.

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引用次数: 0