- Land Use and Ecosystem Services
- Atmospheric chemistry and aerosols
- Water Resources and Sustainability
- Air Quality Monitoring and Forecasting
- Environmental Impact and Sustainability
- Electric Vehicles and Infrastructure
- Energy and Environment Impacts
- Air Quality and Health Impacts
- Infrastructure Resilience and Vulnerability Analysis
- Recycling and Waste Management Techniques
- Vehicle emissions and performance
- Regional resilience and development
- Flood Risk Assessment and Management
- Nuclear and radioactivity studies
- Sustainable Building Design and Assessment
- Innovation Diffusion and Forecasting
- Wind and Air Flow Studies
- Plant responses to elevated CO2
- Municipal Solid Waste Management
- Efficiency Analysis Using DEA
- Landfill Environmental Impact Studies
- Recycled Aggregate Concrete Performance
- Sustainable Supply Chain Management
- Environmental and Social Impact Assessments
- Environmental Quality and Pollution
University of Cambridge
2020-2024
Yunnan University
2024
Chinese Academy of Sciences
2015-2022
Institute of Urban Environment
2015-2022
Centre for Natural Resource Governance
2020
University of Chinese Academy of Sciences
2016-2017
Urban cellular automata (CA) models are broadly used in quantitative analyses and predictions of urban land-use dynamics. However, most CA developed with neighborhood rules consider only a small scope under specific spatial resolution. Here, we quantify effects relatively large space analyze their role the performance an land use model. The extracted were integrated into commonly logistic regression model (Logistic-CA), resulting (Logistic-LNCA). Land-use simulations both evaluated expansion...
This study examines the global waste plastic trade, impacted by China's import ban and COVID-19 pandemic, using post-pandemic data to analyse trade flows project future volumes via ridge regression. From 1988 2022, exports totaled approximately 255 million tons, with major contributions from high-income regions like Europe, Asia, North America. China emerged as primary importer, accounting for over 50 % of imports. The analysis highlights growing role smaller European exporters increased...
With the increasingly prominent environmental problems and decline of fossil fuel reserves, reduction energy consumption (EC) has become a common goal in world. Urea industry is typical energy-intensive chemical industry. However, studies just focus on breakthrough specific production technology or only consider EC stage. This results lack evaluations life cycle (LcEC). In order to provide systematic, scientific, practical theoretical basis for industrial upgrading transformation, LcEC urea...
Land carrying capacity (LCC) explains whether the local land resources are effectively used to support economic activities and/or human population. LCC can be evaluated commonly with two approaches, namely ecological footprint analysis (EFA) and index system method (ISM). EFA is helpful investigate effects of different categories whereas ISM evaluate contributions social, environmental, factors. Here we compared LCC-evaluation approaches data collected from Xiamen City, a typical region...
Urban ecological risk is one of the important factors that may restrict social and economic development. Therefore, it great significance to carry out a comprehensive assessment risks so an prevention control plan can be scientifically formulated. In this paper, indicator system Xiamen was established based on local properties socioeconomic status. This covers seven indicators including air pollution, soil water fresh consumption, change in land use, occupation key zones with functions, road...
Atmospheric nitrogen deposition can supply for ecosystems while posing a serious threat to ecological security. An assessment of the risks caused by atmospheric is critical urban sustainable development. Based on “Ecological Risk Analysis” and “Driver-Pressure-State-Response (DPSR) framework,” this paper established comprehensive risk model assessed in Xiamen City, China. The results showed that from forest ecosystem high due impact residual rate litter survival seedlings. freshwater marine...
Community shared solar (CSS) program has great potentials in contributing to the complete decarbonization of power sectors worldwide. Few research have focused on its potential diffusion from user perspective. This paper fills gap by conducting a survey-based unlabeled choice experiment Guangdong Province, China investigate determinants users' willingness participate CSS programs. We analyzed survey data using random parameter logit model. Our results show that users are more likely programs...
The role of Urban sub-districts in flood prevention is becoming increasingly prominent against the backdrop global climate change and urbanization. However, complex internal composition Chinese cities results varied resilience capacities. Current methods primarily rely on establishing indicator systems utilizing weighted overlay analysis spatial contexts to assess resilience, which fail reveal coupled effects various elements within during disaster occurrences leading ineffective...
Even though short-distance atmospheric transport only occurs, the photochemical loss of volatile organic compounds (VOCs) significantly alters capturing source profiles in high-reactivity VOC species and results an underestimation secondary pollutants such as ozone (O3) aerosol (SOA). In this study, speciated data measured from large petrochemical refineries was used to assess evaluated their impact on pollution formation based onies initial concentration data. Over 99 VOCs were air samples...
Urbanization is one of the major events in 21st century has caused rapid growth global construction area, which resulted high consumption building resources and long term environmental impacts.Analyzing resource public buildings identifying key factors that affect therefore important for development targeted policies.In this paper, we analyzed each branch People's Bank China based on energy, water, land as well structure energy consumption.Based resource-consumption indicators, divided...