- Wind and Air Flow Studies
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Air Quality and Health Impacts
- Tropical and Extratropical Cyclones Research
- Remote Sensing and Land Use
- Air Quality Monitoring and Forecasting
- Conservation, Biodiversity, and Resource Management
- Seed and Plant Biochemistry
- Heavy Metal Exposure and Toxicity
- Building Energy and Comfort Optimization
- Remote Sensing and LiDAR Applications
- Ecology and Vegetation Dynamics Studies
- Vehicle emissions and performance
- Aquaculture Nutrition and Growth
- Food composition and properties
- Flood Risk Assessment and Management
- Global Financial Crisis and Policies
- Climate variability and models
- Microbial Metabolites in Food Biotechnology
- Marine Bivalve and Aquaculture Studies
- Climate change and permafrost
Chang'an University
2023-2025
Beijing Normal University
2021-2025
Beijing Forestry University
2011-2025
Universität Hamburg
2022-2025
Shenzhen Institute of Information Technology
2022-2024
Beihang University
2024
University of Shanghai for Science and Technology
2024
East China University of Science and Technology
2023
Lanzhou University
2022
Hohai University
2022
Identifying the spatial heterogeneity characteristics of ecosystem services (ESs) and their influencing mechanisms is crucial for regional ecological management sustainable development. This study quantified net primary production (NPP), water yield (WY), soil conservation (SC), sand fixation (SF), habitat quality (HQ) total service (TES) on Qinghai Tibet Plateau (QTP), then analyzed spatial–temporal ESs. The geographical detector model (GDM), geographically weighted regression (GWR) model,...
Reanalysis datasets provide a reliable reanalysis of climate input data for hydrological models in regions characterized by limited weather station coverage. In this paper, the accuracy precipitation, maximum and minimum temperatures four datasets, China Meteorological Assimilation Driving Datasets SWAT model (CMADS), time-expanded forecast system (CFSR+), European Centre Medium-Range Weather Forecast (ERA). Forcing Dataset (CMFD), were evaluated using from 28 ground-based observations (OBs)...
Vehicle emission is becoming one of the major sources gaseous pollutants and aerosol particles in urban air environments. Apart from pollutant source control, sustainable street design another significant technique to reduce pollution. Under validation by wind tunnel data, this paper conducts computational fluid dynamic (CFD) simulations RNG k-ε model investigate impacts typical layouts wall heating on dispersion (diameter d = 1 µm, 5 20 µm) target canyons their reentry toward downstream...
The significance of defects in carbon materials for activating peroxymonosulfate (PMS) has garnered significant attention, and enhancing the heteroatom content is critical defect engineering. In this study, defect-rich carbon-based catalysts (NOCs) were synthesized through one-step pyrolysis by utilizing metal–organic frameworks (MOFs) MIL-101-NH2(Fe) as precursors. These employed PMS activators degradation sulfadiazine (SDZ). design regulation organic ligands MOFs facilitated introduction...
Abstract Urban heat island circulation establishes an urban dome under stable stratification and no background wind conditions. Small-scale water models have been a very useful tool in the exploration of mechanisms by which domes their associated flows are formed. Data available from number water-tank models. field measurements, computational fluid dynamics, small-scale experiments compared this paper. The were found to produce relatively low radial velocities, such as horizontal velocity....
Coastal wetland vegetation is a vital component that plays an important role in environmental protection and the maintenance of ecological balance. As such, efficient classification coastal types key to preservation wetlands. Based on its detailed spatial information, high resolution imagery constitutes tool for extracting suitable texture features improving accuracy classification. In this paper, feature, Completed Local Binary Patterns (CLBP), which highly face recognition, presented...
Introduction The particle size characteristics of irregular sediments in the Yangtze River Source Area (YRSA) are pivotal for understanding mechanical properties sedimentary medium. Methods This study utilizes field sediment sampling, laser scanning, laboratory testing, and mathematical statistics to analyze morphological, geometric, mineralogical, accumulation particles region. Results Our findings indicate that YRSA have angular edges deviate from spherical shapes, exhibiting elongated...
Abstract A classic example of a marine heat wave (MHW) was the 2014 – 2016 warm event that spread across northeastern Pacific (NEP) Ocean. We use an adjoint sensitivity approach to shed new light on potential causes for such reoccurring NEP MHW events. The study is based Massachusetts Institute Technology general circulation model (MITgcm) and its adjoint, which mean top 100 m temperature during different target years set as objective function, separately two regions (145°∼ 160°W, 48°∼ 56°N)...
We present a new implementation of the driven similarity renormalization group (DSRG) based on density matrix (DMRG) reference. The explicit build high-order reduced matrices is avoided by forming matrix-product-state compressed intermediates. This algorithm facilitates application DSRG second- and third-order perturbation theories to dodecacene with an active space 50 electrons in orbitals. appears largest employed date within framework internally contracted multireference formalism....
China's urbanization process is accompanied by land use and cover change (LUCC), influencing variations of air pollutants at multiple spatial scales. Monitoring the spatiotemporal their relationship with (LC) vital for understanding mechanisms land-air interaction guiding environmental management. In this study, both statistical geo-statistical analysis used to investigate between LC composition in vicinity three major urban agglomerations (UAs), including Jing-Jin-Ji (JJJ), Yangtze River...
Particulate matter (PM) is one of the most significant air pollutants in recent decades that has tremendous negative effects on ambient quality and public health. Accurate PM forecasting provides a possibility for establishing an early warning system. In this paper, deep feature learn ing architecture, i.e., autoencoder-based belief regression network (AE-based DBRN), introduced utilized to forecast daily concentrations (PM2.5 PM10). Prior model, Pearson correlation analysis applied look...