A5101758400- Higher Education and Teaching Methods
- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Supply Chain and Inventory Management
- Atmospheric aerosols and clouds
- Air Quality Monitoring and Forecasting
- Merger and Competition Analysis
- Consumer Market Behavior and Pricing
- Education and Work Dynamics
- Simulation and Modeling Applications
- Winter Sports Injuries and Performance
- Educational Technology and Pedagogy
- Engineering Education and Curriculum Development
- Atmospheric Ozone and Climate
- Educational Reforms and Innovations
- Manufacturing Process and Optimization
- Higher Education Governance and Development
- Regional Economic and Spatial Analysis
- COVID-19 and healthcare impacts
- Climate Change and Health Impacts
- Advanced Decision-Making Techniques
- Biomedical and Engineering Education
- Hydrology and Watershed Management Studies
- Plant Water Relations and Carbon Dynamics
- COVID-19 impact on air quality
Gansu Great Wall Electrical and Electronics Engineering Research Institute
2023-2025
Sun Yat-sen University
2023-2025
Beijing University of Civil Engineering and Architecture
2024
Institute of Geochemistry
2023
Hubei University of Medicine
2021-2023
Lanzhou University
2021-2023
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2023
Nanjing University of Science and Technology
2021-2022
University of Virginia
2021
University of California, Merced
2021
Data-driven machine learning algorithms, random forests and artificial neural network (ANN), are used to establish the subgrid-scale (SGS) model for large-eddy simulation. A total of 30 flow variables examined as potential input features. priori tests indicate that ANN algorithm provides a better solution this regression problem. The relative importance is evaluated by two algorithms. It reveals gradient filtered velocity second derivative account vast majority importance. Besides, pattern...
The COVID-19 pandemic poses a serious global threat to human health. In China, the government immediately implemented lockdown measures curb spread of this virus. These severely affected transportation and industrial production across country, resulting in significant change concentration air pollutants. study, Euclidean distance method was used select most similar meteorological field during period. Changes pollutants China were analyzed under background conditions. Results indicate that,...
Near-surface ozone is a secondary pollutant, and its high concentrations pose significant risks to human plant health. Based on an Extra Tree (ET) model, this study estimated near-surface with the spatiotemporal resolution based Himawari-8 aerosol optical depth (AOD) data meteorological variables from 1 January 2016 31 December 2020. The SHapley Additive exPlanation (SHAP) method was employed evaluate contribution of AOD factors concentration. results indicate that (1) ET model achieves...
Black carbon (BC), primarily emitted from the incomplete combustion of fossil fuels and biomass, is a significant short-lived climate forcer that increasingly contributes to global change environmental pollution. The BC properties in regions such as Eastern China (EC), Indian Subcontinent (IS), Sub-Saharan Africa (SSA), Central South America (CSA) play crucial role emissions due intensive human activities biomass burning, affecting air quality, change, health. Utilizing MERRA-2 reanalysis...
Single-layer stratocumulus clouds (Sc), as the most common cloud system for stratiform clouds, plays an important role in global radiative balance due to their duration and extensive coverage. However, there are still substantial uncertainties formation forcing, creating significant challenges accurately assessing cloud-climate feedbacks climate models. In this paper, we use Cloudsat 2B-CLDCLASS-LIDAR product distinguish them from other types, investigate causes effects with ERA5 datasets...
Abstract. Satellite remote sensing aerosol optical depth (AOD) and meteorological elements were employed to invert PM2.5 (the fine particulate matter with a diameter below 2.5 µm) in order control air pollution more effectively. This paper proposes restricted gradient-descent linear hybrid machine learning model (RGD-LHMLM) by integrating random forest (RF), gradient boosting regression tree (GBRT), deep neural network (DNN) estimate the concentration of China 2019. The research data...
Abstract Long‐range transport and vertical distribution of aerosols are important factors for assessing the uncertainty in aerosol radiative forcing. This paper reveals trends optical properties China using 15 years Cloud‐Aerosol Lidar with Orthogonal Polarization (CALIOP) data. The Hybrid Single‐Particle Lagrangian integrated trajectory model was used to analyze layer highest occurrence frequencies dust, polluted continental elevated smoke aerosols. results indicated that (a) there were...
Purpose The study aims to find out the university students' health information service needs in post-COVID-19 age and then consider how do services well promote it further work. Design/methodology/approach This uses Kano model design a questionnaire about from academic library investigates 243 students seven universities China. data generated were analyzed using statistical tool presented tables. Findings results show different requirements level of as must-be requirements, one-dimensional...
Abstract. Aerosol–planetary boundary layer (PBL) interaction has been proposed as a key mechanism for stabilizing the atmosphere and exacerbating surface air pollution. Although understanding of this process progressed enormously, its magnitude impact remain uncertain vary widely concerning aerosol types, vertical distributions, synoptic conditions, etc. In study, our primary interest is to distinguish aerosol–PBL absorbing scattering aerosols under contrasting patterns distributions....
As the cornerstone of intelligent transportation systems, accurate traffic prediction can reduce pressure urban traffic, cost residents’ travel time, and provide a reference basis for construction planning. Existing methods focus on spatio-temporal dependence modeling, ignoring influence weather factors characteristics, task has complexity an uneven distribution in different scenarios changes. In view this, we propose interaction-aware attention network (WST-ANet), which integrate feature...
Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of particles. In this paper, we introduce new to improve the performance MD by leveraging emerging TB-scale big memory system. particular, trade capacity computation capability lookup table-based memoization technique. The traditional technique uses relatively small DRAM, bases on suboptimal data structure, and replaces pair-wise computation, which leads limited benefit in We MD-HM, memoization-based framework...
Asian dust can be transported at least one full circuit around the globe. During transportation, interact with local air-borne and pollutants, has a profound impact on environment. A novel coronavirus (COVID-19) been affecting human activities worldwide since early 2020. The Chinese government implemented emergency control measures. Since April 2020, measures to reduce anthropogenic emissions have gradually reduced. optical properties of aerosols during transport were affected by...
Purpose This study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, then considers how promote improve further work on media reduce churn increase satisfaction. Design/methodology/approach An updated DeLone McLean information systems success (D&M ISS) model expectation confirmation for continuance (ECM-ISC) with new variables emotions are used examine CUI through 445 questionnaires. Partial...
The feedback of vegetation on cloud cover is an important link in the global water cycle. However, relative importance and related factors (surface properties, heat fluxes, environmental conditions) context greening remains unclear. Combining Global Land Surface Satellite (GLASS) leaf area index (LAI) product fifth-generation reanalysis data European Centre for Medium-Range Weather Forecasts (ERA5), we quantified contribution to total (TCC) typical regions (Eastern Plain, Western Siberian...