A5001303194- Energy, Environment, Economic Growth
- Environmental Impact and Sustainability
- Extraction and Separation Processes
- Mining and Resource Management
- Energy, Environment, and Transportation Policies
- Toxic Organic Pollutants Impact
- Vehicle emissions and performance
- Climate Change Policy and Economics
- Recycling and Waste Management Techniques
- Energy Load and Power Forecasting
- Software Engineering Research
- Transportation Planning and Optimization
- Scientific Computing and Data Management
- Ferroelectric and Negative Capacitance Devices
- Supply Chain Resilience and Risk Management
- Aviation Industry Analysis and Trends
- Effects and risks of endocrine disrupting chemicals
- Biomedical Text Mining and Ontologies
- Global trade and economics
- Atmospheric and Environmental Gas Dynamics
- Sustainability and Innovation in Business
- Sustainable Industrial Ecology
- CCD and CMOS Imaging Sensors
- Microplastics and Plastic Pollution
- Advanced Memory and Neural Computing
Xi'an Aeronautical University
2024-2025
Chengdu University of Technology
2022-2023
Abstract Improving the efficiency of aviation logistics and enhancing green development level national airport hub cities is an effective way to achieve low‐carbon industry. This study takes 23 airport‐type as research object, calculates carbon emissions generated in process air transportation from 2010 2022. The constructs index for city‐level logistics. It uses super‐efficiency slacks‐based measure data envelopment analysis dynamically cities. On this basis, deeply analyzes spatial...
Aluminum is an essential strategic mineral resource. The geographical space distribution characteristics make the aluminum ore trade relationship more complicated. This paper analyzes evolution characteristics, spatial migration, and competition of from 2011 to 2020. constructs supply risk propagation network Supply Risk Spread Network analyze path, impact scope, potential different outbreak sources. results show that a few countries control resources, community center gravity have changed...
Abstract The accurate forecasts of carbon prices can help policymakers and enterprises further understand the laws price fluctuations formulate related policies investment strategies. Nowadays, many prediction models have been proposed. However, some ignore time–frequency relationship when considering exogenous variables fail to measure their importance forecasting results, leading unsatisfactory results. Therefore, this study proposes a novel hybrid model for on basis advanced...
Abstract Copper is the primary material of national manufacturing industry, widely used to construct economy. As one critical minerals, trade security copper resources related stable development domestic industry. The dynamic evaluation China's and identification principal risk points helpful promote sustainable resources. In this paper, environmental impact included in research category, paper conducts a assessment risks from 2001 2020 multiple dimensions through improved DEA‐like model,...
The problem of food-mediated transregional delivery polybrominated diphenyl ethers (PBDEs) in China is widespread but seriously ignored. Meanwhile, the risk assessment exposure to dietary pollutants for regional populations based on bioaccessibility considered better reflect real exposure. Herein, we drew a spectrum eight PBDEs and 43 typical foods obtained from Beijing using three-stage vitro digestion simulation method. Further, Monte Carlo was used simulate impact PBDE residents, studied...
The problem of food-mediated transregional delivery polybrominated diphenyl ethers (PBDEs) in China is widespread but seriously ignored. Meanwhile, the risk assessment exposure to dietary pollutants for regional populations based on bioaccessibility considered better reflect real exposure. Herein, we drew a spectrum eight PBDEs and 43 typical foods obtained from Beijing using three-stage vitro digestion simulation method. Further, Monte Carlo was used simulate impact PBDE residents, studied...
Abstract Accurate and stable carbon price forecasts provide a reference for the stability of market significantly improve investment operational decisions. However, due to non-linear non-stationarity characteristics series its complex fluctuation features, realizing this goal is still significant challenge, researchers usually ignore multi-step interval forecasting. To accurately predict price, novel hybrid forecasting model proposed in study, based on Hampel identifier(HI), time-varying...