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Climate-adaptive and sustainability-driven passive design prototypes:Healthy natural ventilation strategies for university teaching buildings in high-density urban areas of China 认领 引用
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作者 Kailai Zhou Jiawei Leng +2 位作者 Xin Zhou Kai Zhou Jining Zhao 《Building Simulation》 SCIE EI CSCD 2026年第2期359-381,共23页
Maintaining indoor air quality(IAQ)in dense university campuses is increasingly challenging due to urban densification and limited winter ventilation.This study proposes six climate-adaptive,health-oriented passive ve... Maintaining indoor air quality(IAQ)in dense university campuses is increasingly challenging due to urban densification and limited winter ventilation.This study proposes six climate-adaptive,health-oriented passive ventilation prototypes,combining three inlets(M1:underground pipes;M2:sunken square;M3:windcatcher)and two outlets(N1:negative pressure roof;N2:solar chimney).Using ANSYS Fluent 2024R2,CFD simulations were conducted in five representative high-density Chinese cities across major thermal zones,considering low-rise(T1)and high-rise(T2)urban forms.Results show that under winter closed-window conditions,the N1 configuration achieved higher health ventilation performance(HVP),reducing indoor CO2 by 82.6%-86.0%,while N2 enhanced thermal gain and energy efficiency.Climate zone influenced performance more than urban form type,highlighting the need for climate-specific design strategies.Long-term evaluation under the SSP5-8.5 scenario indicated that recommended prototypes maintained higher HVP in warmer regions and greater stability under extreme conditions in colder regions.This study develops a health-oriented prototype combination design methodology that systematically integrates multiple passive strategies,accounts for climatic adaptability and urban morphology,and provides context-specific solutions to improve IAQ and promote respiratory health.The outcomes offer an expandable,replicable,and operational design method for designing health-focused buildings and guiding sustainable urban renewal in high-density environments. 展开更多
关键词 healthy natural ventilation high-density urban areas university educational building computational fluid dynamics passive design climate-adaptive and sustainable design
Incorporating site suitability and carbon sequestration of tree species into China's climate-adaptive forestation 认领 引用 被引量：2
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作者 Meinan Zhang Shirong Liu +5 位作者 Xiangzhong Luo Trevor F.Keenan Liyong Fu Chiwei Xiao Yao Zhang Peng Gong 《Science Bulletin》 SCIE EI CAS CSCD 2025年第11期1834-1845,共12页
Strategic selection and precise matching of climate-resilient tree species are crucial for maximizing the mitigation and adaptation potential of Climate-Smart Forestry.However,current forestation plans often overlook ... Strategic selection and precise matching of climate-resilient tree species are crucial for maximizing the mitigation and adaptation potential of Climate-Smart Forestry.However,current forestation plans often overlook species-specific environmental shifts,leading to suboptimal long-term carbon sequestration.Here we developed a climate-adaptive optimization framework to guide tree species selection and planting in China,based on projected habitat suitability and range shifts under future climate scenarios.Utilizing over 200,000 tree records from China’s National Forest Inventory(1999-2018),we quantified habitat suitability declines of 12.1%-42.9%for currently dominant plantation species by 2060 due to climate change.By optimizing species-site matching and strategically harvesting timber at peak carbon uptake,we identified 43.2 million hectares suitable for climate-resilient forestation between 2025 and 2060,enabling the planting of approximately 46 billion climate-adapted trees with a total sequestration potential of 3822.6 Tg of carbon-a 28.7%increase compared to unmanaged scenarios.Our study highlights the importance of optimizing adaptive forestation strategies to enhance carbon sequestration under future climate conditions,providing technical guidance for climate-resilient forest management in support of China’s net-zero commitment. 展开更多
关键词 Climate-adaptive forestation Tree species selection Site suitability Carbon sequestration Range shift
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Urban Cooling Island Dynamics During the Development of an Ecological Urban Agglomeration in China 认领 引用
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作者 PAN Ziwu XIE Zunyi +9 位作者 HUANG Lifei QIN Fen YU Minmin YANG Shuyu WANG Zihan HAN Jinyuan WANG Zenyan CAO Yanping SHI Zhihua LI Cangyu 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第7期1129-1141,共13页
Ecological urban agglomeration in China face increasing pressure to reconcile rapid urban expansion with the maintenance of blue-green spaces(BGSs)that sustain urban cooling island(UCI)effects.While existing research ... Ecological urban agglomeration in China face increasing pressure to reconcile rapid urban expansion with the maintenance of blue-green spaces(BGSs)that sustain urban cooling island(UCI)effects.While existing research has documented UCI dynamics in mature cities,an important unresolved issue remains in understanding how rapid urbanisation reshapes BGS patterns and weakens their cooling capacity in newly developing ecological urban agglomeration.Here,using multi-source remote sensing data,Markov land transition analysis and Weather Research and Forecasting simulations,we investigated the spatiotemporal dynamics of BGSs and their thermal effects in a representative ecological urban agglomeration in eastern China during 2000–2020.We found that historical landcover change in the study area was characterised not only by the expansion of development land from 7.18%in 2000 to 13.55%in 2020,but also by the transition and spatial reorganisation of BGSs,accompanied by declining BGS continuity and increasing ecological fragmentation.Thermal analyses further showed that water and wetlands consistently provided the strongest cooling effects,whereas developed land and bare land were associated with higher relative land surface temperature.Transitions to water and wetland generally produced stronger cooling effects than most other land-cover transitions;however,the cooling performance of newly converted ecological land remained weaker than that of long-established natural BGSs.In the representative city of Huai’an of Jiangsu Province,simulated temperature patterns also showed that connected blue-green structures were associated with relatively stronger local cooling during the analyzed high-temperature period.Together,these findings indicate that rapid urbanisation not only changes BGS patterns but is also associated with weakened cooling performance and greater thermal pressure across the regional landscape.Preserving existing highquality BGSs,especially water and wetlands,and improving the spatial configuration and connectivity of urban blue-green systems are therefore essential for climate-adaptive planning in rapidly developing ecological urban agglomeration. 展开更多
关键词 ecological urban agglomeration urban cooling island(UCI) blue-green space(BGSs) regional thermal environment(RTE) climate-adaptive planning eastern China
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Thermal mass vs.insulation trade-off in bio-based buildings:Climate-dependent energy performance of hemp,straw,and wood-based constructions 认领 引用
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作者 Amer Bakkour Salah-Eddine Ouldboukhtine Pascal Biwole 《建筑节能（中英文）》 CAS 2026年第5期144-144,共1页
Bio-based materials are increasingly recognized for their potential to reduce the environmental impact of buildings while improving energy performance.However,most comparative studies evaluate these materials against ... Bio-based materials are increasingly recognized for their potential to reduce the environmental impact of buildings while improving energy performance.However,most comparative studies evaluate these materials against conventional walls of equal thickness,often overlooking the influence of thermal mass and climate-specific behavior at the whole-building scale.Given their lightweight nature and limited thermal mass,bio-based materials may pose challenges in balancing energy efficiency across diverse climates.This study presents an energy performance assessment of three bio-based systems—hemp concrete,wood concrete,and straw—at the building scale under four distinct climates,emphasizing the trade-off between thermal mass and insulation and the influence of climate on their performance.A validated co-simulation approach integrating TRNSYS and MATLAB is employed.Two scenarios are analyzed:(1)equal thermal transmittance(U-value)to isolate thermal mass effects,and(2)variable wall thickness to assess dynamic thermal behavior.Results show that bio-based materials exhibit higher energy demands than conventional insulated systems under matched U-values,particularly in oceanic and Mediterranean climates where thermal mass is critical for buffering temperature fluctuations.For instance,straw buildings increased total energy use by 122%in Vichy(France)and 126%in Tripoli(Lebanon)compared to their insulated concrete counterparts.Increasing wall thickness reduced the heating demand of bio-based structures by 35-70 kWh/m2but led to higher cooling loads in all climates by 8-17 kWh/m2,revealing a key trade-off in lightweight,high-insulation systems.Among the materials,wood concrete achieved better energy performance in hot climates,while hemp was more effective in cold regions.The discussion section outlines adaptive design strategies to optimize the energy performance of bio-based envelopes and support their broader adoption in sustainable construction. 展开更多
关键词 Bio-based materials Thermal mass Energy efficiency Climate-adaptive design Sustainable construction
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Species-specific tree structural parameters extraction via UAV RGB-LiDAR data and multimodal instance segmentation 认领 引用
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作者 Jiansen Wang Huaiqing Zhang +3 位作者 Hanqing Qiu Kexin Lei Hongyan Yu Xianyin Wang 《Plant Phenomics》 SCIE EI CSCD 2026年第1期203-218,共16页
Complex forest structures,interspecies similarities,and intraspecies variations constrain the acquisition of species-specific tree phenotypes.This study develops a scalable framework for extracting species-specific st... Complex forest structures,interspecies similarities,and intraspecies variations constrain the acquisition of species-specific tree phenotypes.This study develops a scalable framework for extracting species-specific structural parameters at the individual tree level.Leveraging ultrahigh-resolution UAV-based RGB and LiDAR data,we propose a novel self-attention-guided spectral-structural multimodal fusion transformer(SAMFormer).Key components include:(1)an adaptive feature enhancement module(AFEM)that employs spatial and channel attention to selectively highlight canopy features while suppressing background noise;(2)a cross-modal fusion module(CMFM)that captures intra-and inter-modal dependencies through the cross-attention mechanism,generating highly discriminative representations.SAMFormer achieves fine-grained tree identification in com-plex forest environments,relieving issues of blurred canopy segmentation and species misclassification.K-fold cross-validation demonstrates robust performance across diverse scenes,achieving 86.3%F1-score and 88.0%mAP@0.5,significantly outperforming single-modal inputs and mainstream instance segmentation models.We generate large-scale species-specific maps of tree structural parameters based on SAMFormer outputs,allometric equations,and a sliding window strategy.Subsequently,these parameters are utilized to map carbon stock.Ecological analysis reveals a coupling relationship between tree competition and structural parameters/carbon stock:competition intensity exhibits a significant negative correlation with both(p<0.001).Trees adapt by adjusting growth strategies(e.g.,reducing radial growth and limiting canopy expansion),ultimately lowering biomass accumulation and carbon stock.Additionally,species mixing enhances carbon stock,as mixed forests store more carbon than monocultures.This work provides a high-throughput,non-destructive pathway for forest phenotyping,supporting precision forestry and climate-adaptive management practices. 展开更多
关键词 Tree species identification Structural parameters Carbon stock UAV-Based multimodal remote sensing Climate-adaptive forest management
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