- Disaster Management and Resilience
- Tropical and Extratropical Cyclones Research
- Innovation and Knowledge Management
- Climate variability and models
- Atmospheric Ozone and Climate
- Flood Risk Assessment and Management
- earthquake and tectonic studies
- Entrepreneurship Studies and Influences
- Atmospheric and Environmental Gas Dynamics
- Intellectual Capital and Performance Analysis
- Customer Service Quality and Loyalty
- Meteorological Phenomena and Simulations
- Consumer Behavior in Brand Consumption and Identification
- Innovation Diffusion and Forecasting
- Atmospheric chemistry and aerosols
- Advanced Graph Theory Research
- Geological and Geochemical Analysis
- Infrastructure Resilience and Vulnerability Analysis
- Smart Materials for Construction
- Regional Development and Environment
- Geotechnical Engineering and Underground Structures
- Digital Marketing and Social Media
- Vibration and Dynamic Analysis
- Rice Cultivation and Yield Improvement
- Consumer Perception and Purchasing Behavior
Dalian Ocean University
2025
Lanzhou University
2015-2023
Southwest Petroleum University
2021-2022
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2021-2022
Columbia University
2016-2022
Peng Cheng Laboratory
2020
Dalian Maritime University
2019
Beijing Normal University
2016-2018
State Key Laboratory of Earth Surface Processes and Resource Ecology
2018
Harbin University of Science and Technology
2018
Abstract Tropical cyclones (TCs) have devastating impacts and are responsible for significant damage. Consequently, TC-induced direct economic loss (DEL) attribution all factors associated with risk (i.e. hazard, exposure vulnerability) must be examined. This research quantifies the relationship between DELs maximum wind speed, asset value Gross Domestic Product (GDP) per capita using a regression model TC records from 2000 to 2015 China’s mainland area. The coefficient of speed term...
This study utilizes the typhoon path ensemble dataset from Marine Science Big Data Center, surface temperature data NOAA’s COBE Sea Surface Temperature dataset, and wind field NCEP/DOE Reanalysis II dataset. It employs analytical techniques such as wavelet analysis, correlation Mann–Kendall test to investigate temporal spatial variations in tropical cyclones Northwest Pacific, focusing on aspects frequency, genesis regions, Accumulated Cyclone Energy. The research examines influence of...
Accurate exposure estimation is essential for seismic risk assessment. Recent rapid urbanization and economic growth in China have led to massive spatiotemporal changes both the asset value GDP exposed hazards. Using available data, dataset produced by Wu et al (2014a) spatial disaggregation technology, gridded maps of are overlaid with latest map investigate most seismically hazardous areas (MSHAs) 1990, 2000 2010. We found that 15.4% China's 14.1% were located MSHAs 2010, reached 15.9...
Abstract Tropical cyclones (TCs) can wreak havoc on the landscape and overwhelm communities. Since economic exposure is an important factor in damage function, evaluation of essential because characteristics TC-related hazards are changing under accelerating development patterns. Here, we first reconstructed wind rainfall fields historical TCs through extensive database to extract TC-prone areas mainland China. We found that determining affected extent a TC event will be misestimated when...
Abstract Using observation, reanalysis and model datasets, the impact of El Niño-Southern Oscillation (ENSO) on winter precipitation in southern China is re-examined. The results show that positive correlation between ENSO after 1995 significantly higher than before 1995. Significant located mainly over coastal areas 1995, whereas extends northward to Yangtze River basin These changes relationship are related pattern Philippine anticyclone changes. An increasing trend observed amplitude,...
Abstract Various kinematic models have been proposed to explain the growth process of wide compressive orogens, and deformation rate within entire range orogen (rather than that leading‐edge fault) provides valuable information for model evaluation. Within Qilian Orogen, between central northern Shan mountain in China, we studied a series Quaternary fluvial terraces across North Tuolai Fault (NTF), including optically stimulated luminescence dating terrace ages. The results show six levels...
Purpose The investigation of organization's ambidextrous innovation is a challenge in the research studies management sciences. As existent literature showed positive relation between dynamic capability (DC) and innovation, few empirical are conducted to explain how DC impacts on balanced combined dimension ambidexterity still less social network moderates this relation. result, paper aims investigate provide evidence DC’s influence context China. Design/methodology/approach By relational...
Understanding the spatiotemporal pattern of historical earthquake disasters and resultant socioeconomic consequences is essential for designing effective disaster risk reduction measures. Based on records, this study compiles a Chinese catalog (CH-CAT) that includes records 722 occurred during 1950–2017 in mainland China. This more complete data than other existing global databases China as whole. Statistical results demonstrate number direct economic losses (DELs) exhibit significant...
Abstract As one of the most important greenhouse gases, water vapor in upper troposphere and lower stratosphere (UTLS) has a significant impact on global earth-atmosphere system. The Tibetan Plateau (TP) is an high terrain which exerts profound change weather climate, mass exchange. Tropopause folds occur frequently over TP due to subtropical westerly jet, affects transport between troposphere. In this paper, spatial temporal distribution characteristics tropopause are examined by applying...
This study examines the role of social networks on SMEs (Small- and medium-sized enterprises)' ambidextrous innovation discusses mediating effect dynamic capabilities moderating technological turbulence from perspectives network theory capability theory. Empirical data were garnered a sample 494 in China structural equation modelling was used to test proposed relationships. The results show that: (1) both dimensions (relational networks) have positive impact SMEs' exploratory innovation(ERI)...
In the knowledge-based economy era, new firms need dynamic capability to adapt rapidly changing environment with increasing uncertainties in competitive environment. A lot of researchers concern about significant effects knowledge accumulation on enhancement, systematic research effect organizational learning is still short. With questionnaire survey, 223 enterprises established within past 8 years are selected as subjects for exploring relationship among orientation, ambidextrous learning,...
The existence of multiple disaster-hit regions with spatially heterogeneous economic structures is vital to the investigation spatial ripple effects disaster disturbances in inter-regional supply-demand chain. We employed input-output (IRIO) model modify adaptive regional (ARIO) and reproduce indirect losses (IELs) after Bohai Sea ice event mainland China. results showed that total IEL China comprised 38% direct loss. area (the Rim region) lost 1460.55 million CNY, other provinces were...
Creating breakthrough innovation becomes a key strategy for many organisations in an increasingly competitive environment. An important precondition the implementation of such substantial is identification ideas front end process. Despite large amount resources and talents that pour into funnel, few innovations emerge at other end. The pipelines often clog with inconsequential opportunities, projects while potentially slowing valuable ones during their passage. Therefore, funneling...