A5018176199- Energy, Environment, Economic Growth
- Environmental Impact and Sustainability
- Nonlinear Dynamics and Pattern Formation
- Chaos control and synchronization
- Market Dynamics and Volatility
- Climate Change Policy and Economics
- Urban Transport and Accessibility
- Energy, Environment, and Transportation Policies
- Economic and Technological Innovation
- Vehicle emissions and performance
- Global Energy Security and Policy
- Theoretical and Computational Physics
- Transportation Planning and Optimization
- stochastic dynamics and bifurcation
- Neural dynamics and brain function
- Photoreceptor and optogenetics research
- Plant and Biological Electrophysiology Studies
- Air Quality and Health Impacts
- Aviation Industry Analysis and Trends
- Complex Systems and Time Series Analysis
- Energy Load and Power Forecasting
China University of Geosciences (Beijing)
2019-2021
Ministry of Natural Resources
2019-2021
Shaanxi Normal University
2021
Xiamen University
2001-2002
City University of Hong Kong
2002
This paper provides the concept of import dependence between countries, which is a relative quantity. In order to reveal evolutionary characteristics countries in energy trade and its influencing factors, firstly, based on network analysis method, this constructs model (EIDN) among regions along Belt Road (B&R countries). Crude oil natural gas are taken as empirical objects, evolution two kinds EIDNs analysed. The result showed that most B&R had small number crude partners. However,...
The Guanzhong Plain urban agglomeration is a response to the Belt and Road Initiative in Northwest China that aims promote regional development. direct impact of high-speed railway construction shorten spatial-temporal distance among regions, improve accessibility transportation, socioeconomic linkages. From perspective accessibility, this study analyzes on spatial patterns county-level economic relationships agglomeration. results show significantly improves increases potential for...
Effectively reducing carbon emissions is a serious issue faced by many countries. Identifying key sectors in terms of production activities vital for policy-making regarding energy related emission reductions. This paper built carbon-flow-based chain network and proposed five indicators, including direct outflows, inflows, self-flows, indirect outflows inflows emissions, to quantify the importance emissions. The results showed that there were no strong correlations among different roles...
To study the impact of industrial driving effects on carbon emissions, this article integrated multiregional input–output theory with complex network to construct effect (IDEN). Then, impacts roles regions emissions are quantified by econometric theory. The results show that core occur in capital, raw material consumption, and processing industries, such as smelting pressing ferrous nonferrous metals. From a regional perspective, 86.28% come from central eastern areas. top 20% account for...
Phase synchronization is studied with a discrete system formed by two coupled map lattices, in which phases are measured two-dimensional vectors. Simulation results show that imposing external coupling between the phase can be found all planes them. When approaching synchronizing state, unstable observed. This referred to as intermittent appears when trajectories on interacting have opposite directions of rotation but only small difference. The could also observed autonomous systems...
We have studied phase synchronization between two identical Rössler oscillators connected in the drive-response configuration by a single signal. Before transition to synchronization, distribution of time interval consecutive 2pi jumps shows several sharp peaks. With strong signal coupling, n:m can be achieved. For n (not equal) m synchronizing state, some values coupling strength result phenomenon characterized reduction mean amplitude response termed reduction. In these regions, rotation...
We investigate the coupling of dynamics in coupled map lattices (CMLs) which is not only related to parameter, but also asynchronization among different mean fields lattices. Computer simulations show that optimal can be found from maximum various CMLs. As a consequence, application areas systems may broadened due better understanding their dynamics.
An approach to synchronize spatiotemporal chaos is proposed. It achieved by introducing a finite flat region in the local map. By using this scheme, number of orbits both drive and response subsystems are forced pass through fixed point every dimension. With only an arbitrary phase space variable as signal, synchronization can be rapidly subsystem. This advantage when compared with other methods that require linear combination original variables.