- Recycling and Waste Management Techniques
- Extraction and Separation Processes
- Environmental Impact and Sustainability
- Urban Transport and Accessibility
- Sustainable Building Design and Assessment
- Urbanization and City Planning
- Land Use and Ecosystem Services
- Municipal Solid Waste Management
- Innovation, Sustainability, Human-Machine Systems
- Advancements in Battery Materials
- Geochemistry and Elemental Analysis
- Structural Integrity and Reliability Analysis
- Construction Project Management and Performance
- Vehicle emissions and performance
- Agricultural Engineering and Mechanization
- Conservation Techniques and Studies
- Housing Market and Economics
- Urban and Freight Transport Logistics
- Engineering and Materials Science Studies
- Regional Economics and Spatial Analysis
- Machine Learning and Data Classification
- Sharing Economy and Platforms
- Urban Heat Island Mitigation
- Public-Private Partnership Projects
- Agricultural economics and policies
University of Southern Denmark
2019-2025
Peking University
2025
Institute of Geographic Sciences and Natural Resources Research
2019-2023
Chinese Academy of Sciences
2019-2023
University of Chinese Academy of Sciences
2019-2021
Improving our comprehension of the weight and spatial distribution urban built environment stocks is essential for informing resource, waste, environmental management, but this often hampered by inaccuracy inconsistency typology material composition data buildings infrastructure. Here, we have integrated big mining analytics techniques compiled a local database to address these gaps, detailed characterization quantity, quality, (in 500 m × grids) in Beijing 2018. We found that 3621 megatons...
The rapid urbanization in China since the 1970s has led to an exponential growth of metal stocks (MS) use cities. A retrospect on quantity, quality, and patterns these MS is a prerequisite for projecting future demand, identifying urban mining potentials metals, informing sustainable strategies. Here, we deployed bottom-up stock accounting method estimate iron, copper, aluminum embodied 51 categories products infrastructure across 10 Chinese megacities from 1980 2016. We found that had...
Neodymium (Nd), an essential type of rare earth element, has attracted increasing attention in recent years due to its significant role emerging technologies and globally imbalanced demand supply. Understanding the global regional Nd stocks flows would thus be important for understanding mitigating potential supply risks. In this work, we applied a trade-linked multiregional material flow analysis map neodymium cycles from 1990 2020. We reveal increasingly complex trade patterns...
Reliable city-level product, building, and infrastructure material stocks data are essential for understanding historical use patterns, benchmarking efficiency, informing future recycling potentials. However, such urban often limited, due primarily to unavailable, inconsistent, or noncontinuous statistics. Here, we provided an Urban Product, Building, Infrastructure Material Stocks (UPBIMS) dataset China, a country that has undergone remarkable urbanization process in the past decades, by...
The patterns of material accumulation in buildings and infrastructure accompanied by rapid urbanization offer an important, yet hitherto largely missing stock perspective for facilitating urban system engineering informing resources, waste, climate strategies. However, our existing knowledge on the built environment stocks across particularly within cities is limited, owing to lack sufficient high spatial resolution data. This study leveraged multi-source big geodata, machine learning,...
Precise identification and categorization of building materials are essential for informing strategies related to embodied carbon reduction, retrofitting, circularity in urban environments. However, existing material databases typically limited individual projects or specific geographic areas, offering only approximate assessments. Acquiring large-scale precise data is hindered by inadequate records financial constraints. Here, we introduce a novel automated framework that harnesses recent...
Dysprosium (Dy) is a critical rare earth element, indispensable for realizing low-carbon technologies. A holistic understanding of global Dy supply-demand chains essential ensuring its future sustainable supply and use. This study conducts the first multiregional analysis flows stocks to comprehensively trace cycle from 1988 2021. Results show rising demand Dy-comprising intermediate final products with complex trade fluctuations since 2000. In total, 22,009 tons products, primarily as...
Abstract The rapid urbanization and building boom in China the past decades provided not only massive residential nonresidential floor space, but also millions of jobs especially for migrants from rural areas. However, such high‐speed growth stocks is expected to continue forever its dynamics, declining, may affect job market construction sector further China's social stability. Here, we extended a dynamic material flow analysis (dMFA) model that characterized flows forecast province‐level...
Microbial corrosion based on extracellular electron transfer (EET) has been widely studied iron-based metals, however, it is still scarce for aluminum alloys. In this study, the behavior of a novel isolated marine actinomycete, Nocardiopsis dassonvillei, against AA5083 was systematically evaluated. The results proved that N. dassonvillei biofilm accelerated by increasing dissolution oxide layers through chloride accumulation, preventing re-passivation oxygen depletion. On metal substratum...
As the largest iron and steel producer, China still cannot meet its demand of only through domestic primary supply in last few decades. Hence, secondary resources are increasingly significant meeting China's balance. However, resource availability how it impacts future balance were insufficiently discussed. In this work, we developed a material flow analysis reserve assessment (MFA-SRRA) integrated model, assessed availability, conducted nine scenarios for irons China. The results showed...