- Ocean Waves and Remote Sensing
- Tropical and Extratropical Cyclones Research
- Oceanographic and Atmospheric Processes
- Coastal and Marine Dynamics
- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Coastal wetland ecosystem dynamics
- Climate variability and models
- Tunneling and Rock Mechanics
- Advanced ceramic materials synthesis
- Hydrology and Watershed Management Studies
- Arctic and Antarctic ice dynamics
- Metal Alloys Wear and Properties
- Flood Risk Assessment and Management
- Aeolian processes and effects
- Metal and Thin Film Mechanics
- Machine Fault Diagnosis Techniques
- Earthquake and Tsunami Effects
- Hydrology and Sediment Transport Processes
- Hydrology and Drought Analysis
- Dendrimers and Hyperbranched Polymers
- Additive Manufacturing and 3D Printing Technologies
- Wind Energy Research and Development
- Engineering Applied Research
- Data Stream Mining Techniques
Hunan Provincial Center for Disease Control and Prevention
2018-2024
Changsha University of Science and Technology
2015-2024
Hunan Research Academy of Environmental Sciences
2022-2024
University of Massachusetts Dartmouth
2018-2020
Huazhong University of Science and Technology
2020
Pearl River Hydraulic Research Institute
2019
Ministry of Water Resources of the People's Republic of China
2019
China University of Geosciences
2014
Starpharma (Australia)
2009-2010
High-precision total electron content (TEC) prediction can improve the accuracy of Global Navigation Satellite System (GNSS)-based applications. The existing deep learning models for TEC mainly include long short-term memory (LSTM), convolutional (ConvLSTM), and their variants, which contain only one temporal memory. These may result in fuzzy results due to neglecting spatial memory, as is crucial capturing correlations within neighborhood. In this paper, we draw inspiration from predictive...
Abstract. Sea surface temperature (SST) is the major factor that affects ocean–atmosphere interaction, and in turn accurate prediction of SST key to ocean dynamic prediction. In this paper, an SST-predicting method based on empirical mode decomposition (EMD) algorithms back-propagation neural network (BPNN) proposed. Two different EMD have been applied extensively for analyzing time-series data some nonlinear stochastic signals. The ensemble (EEMD) algorithm complementary (CEEMD) are two...
The hydrological characteristics of the river–lake connecting section are determined by their interaction and studying them can help to understand changing relationship between these two water bodies over time. Lujiao–Luosan is Dongting Lake Yangtze River, data for this past 70 years has been analyzed. It found that lowest level consistently rising at same discharge Chenglingji station, which joint point River. While could alleviate drought situation in area during dry seasons, it pose a...
Abstract To explore the sandy beach sorting and sedimentary characteristic induced by wave action, a set of 2D flume experiments on were performed. The initial slope with non-uniform sand combination 1/10 1/20 was exposed to regular waves, random cnoidal waves solitary respectively. evolution cross-shore profiles grain size sediments in different locations measured recorded. Experimental results show that under action produced obvious phenomenon. intense turbulence generated breaking leads...
Studying the sea–air interaction between upper ocean and typhoons is crucial to improve our understanding of heat momentum exchange atmosphere ocean. There a strong flux during impact typhoon, physical fields, such as wind field, wave flow SST also interact with each other. A fully coupled Atmosphere–Wave–Ocean model in South China Sea was established by mesoscale atmospheric WRF, SWAN, regional ROMS based on COAWST system. Typhoon Kai-tak simulated using this some other schemes. In paper,...
Abstract. The variability of the sea surface temperature (SST) in northwest Pacific has been studied on seasonal, annual and interannual scales based monthly datasets extended reconstructed (ERSST) 3b (1854–2017, 164 years) optimum interpolation version 2 (OISST V2 (1988–2017, 30 years). overall trends, spatial–temporal distribution characteristics, regional differences seasonal trends SST have calculated over past years these datasets. In years, increasing linearly year by year, with a...
The simulating waves nearshore (SWAN) model has typically been designed for wave simulations in near-shore regions. In this study, the model's applicability to simulation of typhoon South China Sea (SCS) was evaluated. A blended wind field, consisting an interior domain based on Fujita's and exterior Takahashi's model, used as driving field. driven by Typhoon Kai-tak over SCS that occurred 2012 were selected numerical research. Sensitivity analyses time step, grid resolution, angle...
This study utilized 50 laboratory experiments to document the evolution of coral beaches under varying regular wave conditions, including five distinct periods and ten heights. Both type equilibrium beach shape sand bars were used represent evolution. The was then compared quartz beaches. experimental results show that predicted (modeled) profile a not applicable Compared on beaches, distance from bar crests berm in greater, whereas erosional depth troughs deeper. However, grain size...
Federated Edge Learning (FEL) has emerged as a promising approach for enabling edge devices to collaboratively train machine learning models while preserving data privacy. Despite its advantages, practical FEL deployment faces significant challenges related device constraints and device-server interactions, necessitating heterogeneous, user-adaptive model training with limited uncertain communication. In this paper, we introduce FedCache 2.0, novel personalized architecture that...
Typhoons are major marine dynamic disasters that affect the coastal ocean areas of China. During a typhoon, coupling factors, such as wind, waves, storm surges, and river runoff, greatly enhance mass energy exchange at various interfaces ocean. A fully coupled atmosphere-wave-ocean model in South China Sea (SCS) was established based on WRF, SWAN, ROMS models. The variation sea surface salinity (SSS) subsurface caused by Typhoon Kai-tak (201213) analyzed model, basic characteristics response...
During the past few decades, ecosystems of lakes have been reshaped greatly by global climate change and expanding human activities. As second largest freshwater lake in China, Dongting Lake is most important regulating Yangtze River Basin because it has extensive flood storage capacity. The dynamic characteristics its circulation sediment transport are significantly affected scheduling interception control reservoirs at upper reaches River. In this paper, a central reservoir proposed to...
The ocean is the largest source of water vapor on planet, while precipitation greatest in tropical oceans and coastal areas. As a strong convective weather, typhoons bring not only winds but also precipitations. accurate prediction rainfall induced by still difficult because nonlinear relationship between typhoon physical processes such as dynamics, heat, cloud microphysics, radiation. In order to fully describe interaction sea air, we simulated distribution under influence using...
Breaking wave-induced scour is recognized as one of the major causes coastal erosion and offshore structure failure, which involves in full 3D water-air-sand interaction, raising a great challenge for numerical simulation. To better understand this process, nonlinear model based on open-source CFD platform OpenFOAM® was self-developed study. The Navier–Stokes equations were used to compute two-phase incompressible flow, combining with finite volume method (FVM) discretize calculation domain,...
Dongting Lake, China Study focus Water storage capacity (WSC) of a large lake system plays crucial role in flood control decision-making during the season. located downstream Three Gorges Dam, has significant influence over middle and lower reaches Yangtze River (MLYR). To have better WSC estimation multiple linear regression model was developed based on hydrodynamic simulation data typical processes past 3 decades. New hydrological insights for region The (MLR) is by integrating simulation....