A5100765392- Market Dynamics and Volatility
- Complex Systems and Time Series Analysis
- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Energy, Environment, Economic Growth
- Meteorological Phenomena and Simulations
- Environmental Impact and Sustainability
- Electrical and Bioimpedance Tomography
- Complex Network Analysis Techniques
- Innovation Diffusion and Forecasting
- Air Quality and Health Impacts
- Aeolian processes and effects
- Stock Market Forecasting Methods
- Urban Transport and Accessibility
- Energy, Environment, and Transportation Policies
- Fault Detection and Control Systems
- Global Energy and Sustainability Research
- Urban Heat Island Mitigation
- Sustainable Finance and Green Bonds
- Global Energy Security and Policy
- Corporate Social Responsibility Reporting
- Ecosystem dynamics and resilience
- Genetic and rare skin diseases.
- Flow Measurement and Analysis
- Atmospheric Ozone and Climate
City University of Macau
2024
Institutes of Science and Development
2023-2024
Chinese Academy of Sciences
1999-2024
China University of Geosciences (Beijing)
2018-2023
Ministry of Natural Resources
2018-2023
Beijing Normal University
2022-2023
Humboldt-Universität zu Berlin
2023
Beijing University of Chemical Technology
2023
Chengdu University of Information Technology
2023
Southwest University
2018
Due to the `soft-field' nature of electrical capacitance tomography, it is necessary employ an iterative approach for image reconstruction in order obtain good-quality images. In algorithm important determine gain factor, i.e., step length approaching converging point, because may either cause divergence or slow down process. Usually fixed. this communication, a method optimal derived algorithm. The efficiency has been demonstrated experimentally.
Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted estimate the interannual variations in global LST from 2001 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized difference vegetation index (NDVI) products fine particulate matter (PM2.5) data Atmospheric Composition Analysis Group. The results showed that seasonally integrated (SINDVI), PM2.5 increased by 0.17 K,...
The fluidization conditions in a fluidized bed can vary dramatically, from bubbling to circulating fluidization. Considering the dielectric properties and rapid movement of solids beds, electrical capacitance tomography (ECT) is particularly suitable for measuring concentration distribution beds. This paper reports use square ECT sensor investigate behaviour showing unique advantages using cross-sectional profiles solids. Different regimes manifest different characteristics, terms
Abstract This paper examines the impact of mandatory disclosure requirement on corporate environmental, social, and governance (ESG) performance, specifically within framework China's “Dual‐Carbon” targets. Utilizing data ESG performance nonfinancial companies listed in mainland China from 2013 to 2021 implementation “explanation for nondisclosure” by Hong Kong Exchanges Clearing Limited (HKEX) 2016 as a quasi‐experiment, this study employs difference‐in‐difference approach empirical...
Abstract This study investigates the cloud macro- and micro-physical characteristics in convective stratiform regions their different responses to seeding for mixed convective-stratiform clouds that occurred Shandong province on 21 May 2018, based observations from aircraft, Suomi National Polar-Orbiting Partnership (NPP) satellite, high-resolution Himawari-8 (H8) satellite. The aircraft show convection was deeper radar echoes were significantly enhanced with higher tops response region. is...
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,...
Correlation analysis serves as an easy-to-implement estimation approach for the quantification of interaction or connectivity between different units. Often, pairwise correlations estimated by sliding windows are time-varying (on window segments) and size-dependent sizes). Still, how to choose appropriate size remains unclear. This paper offers a framework studying this fundamental question observing critical transition from chaotic-like state nonchaotic state. Specifically, given two time...
Time series processing and analyzing is one of the major challenges in big data research, especially inferring dynamical mechanism time series. In this paper, we constructed a complex network from via exploring evolutionary relationship among volatility patterns. We introduced symbolic method sliding window to describe patterns that contains multidimensional information. Meanwhile, explored these based on topological characteristics network. our selected six stock indices around world as...
The relationship between currencies in foreign exchange markets has been a topic of significance economics. Previous studies have focused more on correlations currencies. However, the detection causality can reveal their inherent laws. Although traditional Granger test identify causality, it cannot take into account nature and intensity causality. Thus, objective this paper is to causalities from perspective dynamics. In paper, we select 25 (with US dollar (USD) as numeraire) markets, they...
Abstract Reconstructing a time series into complex network can help uncover the dynamic information hidden in series. Previous studies mainly focused on long-term relationship between two energy prices, and traditional econometric methods poorly reflect evolution of correlations among variables from short-term perspective. Thus, first, we divide natural gas, coal crude oil price segments via set temporal sliding windows then calculate correlation coefficients for each pair prices segment....