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    • ISUCE
    • ISUCE Guide
    • News and events
    • About us
    • Past webinar
    • ISUCE
    • ISUCE Guide
    • News and events
    • About us
    • Past webinar
    • …  
      • ISUCE
      • ISUCE Guide
      • News and events
      • About us
      • Past webinar
      • Chinese Alliance for

        Urban Climate and Environment (CHANCE)

        CHANCE is a nonprofit organization advancing sustainable cities through research, education, and public action—empowering scholars and communities to address global urban climate challenges.

      • Next online seminar will be on 30th May 2026, Saturday:


        城市植被蒸散与遮荫降温:从机制分离、跨气候带比较到物理引导AI建模

        presenter: 余兆武 (复旦大学)

        9 pm (GMT+8), 30th May, Saturday

        Abstract:
        报告聚焦极端高温背景下城市植被降温效应的精细量化与方法范式转型。围绕城市植被蒸散降温与遮荫降温难以区分、不同气候带结果难以统一比较、过程模型难以支撑大范围高频模拟等关键瓶颈,构建了从机制分离到跨气候带比较,再到物理引导建模的递进式框架。首先,研究基于优化的SCOPE模型,即土壤,冠层,光合作用与能量通量模型,实现了上海极端高温期间100 m逐小时蒸散降温与遮荫降温制图,揭示了两类降温机制的日变化差异和空间异质性。随后,引入地表能量平衡(SEB)框架,将降温效应转化为可跨气候带比较的物理量,识别热沙漠与地中海气候下植被降温的限制因子与结构性差异。进一步,提出ResNetPINN(残差网络物理信息神经网络),将过程模型知识、能量守恒约束与深度学习融合,形成高效、物理一致且可迁移的城市植被降温建模路径,为极端高温风险治理和气候适应型城市规划提供方法支撑。


        This study focuses on the fine-scale quantification of urban vegetation cooling effects and a methodological paradigm shift under extreme heat. To address key bottlenecks, including the difficulty of separating evapotranspiration cooling from shading cooling, the limited comparability of results across climate zones, and the high computational burden of process-based models for large-scale and high-frequency simulations, it develops a progressive framework that links mechanism separation, cross-climate-zone comparison, and physics-guided modeling. First, using the optimized Soil-Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) model, the study achieves 100 m hourly mapping of evapotranspiration and shading cooling during extreme heat in Shanghai, revealing the diurnal differences and spatial heterogeneity of the two cooling mechanisms. Subsequently, the surface energy balance (SEB) framework is introduced to convert cooling effects into physical quantities that are comparable across climate zones, thereby identifying the limiting factors and structural differences in vegetation cooling under hot desert and Mediterranean climates. Furthermore, the study proposes ResNetPINN, a residual-network-based physics-informed neural network, which integrates process-model knowledge, surface energy balance constraints, and deep learning to establish an efficient, physically consistent, and transferable modeling framework for urban vegetation cooling. This framework provides methodological support for extreme heat risk management and climate-adaptive urban planning.

        Bio:
        余兆武,复旦大学环境科学与工程系研究员,博导。复旦大学科学技术研究院纵向处副处长(挂职),复旦大学中加环境与可持续发展中心主任。博士毕业于哥本哈根大学地球科学与自然资源管理系,后就职于哥本哈根大学博后、助理教授。主要从事城市生态学、暴露生态学、基于自然的解决方案、环境遥感与气候变化相关研究与教学。上海市领军人才青年项目、上海浦江学者、中国生态学学会“生态学青年人才托举工程”入选人,自然资源部高层次创新人才团队入选人。连续入选2024、2025年斯坦福大学和Elsevier发布的全球Top 2%科学家名单。截止目前以第一/通讯作者在生态学/地学领域国际主流SCI期刊发表论文60余篇,其中13篇为ESI高被引论文。截止目前,主持国自然面上项目(2项)、国自然国际合作项目课题、国家重点研发项目子课题等10余项。


        Zhaowu Yu is a Research Professor and PhD supervisorin the Department of Environmental Science and Engineering at Fudan University. He also serves as Deputy Director of the Government-Funded Research Division of Fudan University’s Office of Science and Technology Research on a temporary appointment, and as Director of the Fudan University China-Canada Centre for Environment and Sustainable Development. He received his PhD from the Department of Geosciences and Natural Resource Management at the University of Copenhagen, where he later worked as a postdoctoral researcher and Assistant Professor. His research and teaching focus on urban ecology, exposure ecology, nature-based solutions, environmental remote sensing, and climate change. He has been selected for the Shanghai Young Leading Talent Program, the Shanghai Pujiang Talent Program, the Young Talent Support Program of the Ecological Society of China, and a High-Level Innovation Talent Team of the Ministry of Natural Resources. He was included in the 2024 and 2025 Stanford University and Elsevier lists of the world's top 2% scientists. To date, he has published more than 60 first-author or corresponding-author papers in leading international SCI journals in ecology and geosciences, including 13 ESI Highly Cited Papers. He has also led more than ten research projects, including two General Program grants from the National Natural Science Foundation of China, an NSFC international cooperation project task, and a subproject of the National Key R&D Program of China.

        Call for Nominations: CHANCE Awards

        The CHANCE (CHinese Alliance for urbaN Climate and Environment) is pleased to announce two awards to advance scientific research and practical implementation related to urban climate and environment in China and worldwide:

        • CHANCE Rising Scholar Award

        Awarded to one or two early career scientists (≤ 10 years post-PhD) whose work and potential are shaping the future of urban climate and environmental research through innovation, impact, leadership, and contributions to the CHANCE community.

        • CHANCE Distinguished Contribution Award

        Awarded annually to one scientist in recognition of outstanding and sustained contributions to urban climate and environmental science, with demonstrated influence on research, practice, policy, and community-building, and demonstrated leadership in advancing the CHANCE mission and strengthening collaboration across the Chinese and global urban climate and environment research communities.

        Nomination Materials:

        1. Nomination Letter, which includes the nominator's name, title, institution, and contact information, and details how the nominee meets the selection criteria (< 2 pages).
        2. Curriculum Vitae, which includes the candidate's name, address, email, history of employment, degrees, research experience, honors, memberships, and service to the community (committee work, advisory boards, etc.).

        Submission:

        Please send materials to: FIND_CHANCE2026@hotmail.com with a subject "Rising Scholar Award__Your Name" or "Distinguished Contribution Award__Your Name".

        Deadline: April 1, 2026

        The establishment of the two awards not only promotes and carries forward the spirit of science, but also conveys profound expectations for the academic community. We hereby openly invite nominations from the academic sphere and sincerely welcome research institutions, academic organizations, and experts and scholars to actively recommend outstanding talents. Let us jointly witness and advance this milestone academic honor.

        CHANCE Logo Design Competition

        CHANCE (CHinese Alliance for urbaN Climate and Environment) invites the public to submit designs for its official logo. The submitted design shall reflect urban climate and environment themes, scientific rigor, collaborative spirit, as well as the mission of CHANCE.

        Key Information

        1. Eligibility: Individual participants (no restrictions on nationality or professional background).
        2. Prize: RMB 3,000 (1 winner).
        3. Selection Method: Shortlisted entries will be selected through anonymous voting by CHANCE members, followed by final evaluation by the committee.

        Submission Requirements

        1. The design should be easily recognizable and scalable, suitable for various applications such as websites, reports, conference materials, and social media.
        2. Submitted designs must include both a transparent-background PNG file and editable vector format files (e.g., AI, EPS, SVG).
        3. Submission Deadline: April 1, 2026.
        4. Please send design files to: FIND_CHANCE2026@hotmail.com
        5. Email Subject: "Logo Competition_Your Name"

        Statement

        The winning design will be used as the official CHANCE logo. The copyright and related intellectual property rights of the winning work will belong to CHANCE from the date of the award announcement. The association has the right to modify, reproduce, distribute, and display the work, and to use it for various publications, promotions, collaborations, and other legal activities, including but not limited to non-commercial and commercial purposes. The author shall no longer claim any rights to the work.

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