A5111756604- Hydrology and Watershed Management Studies
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Soil erosion and sediment transport
- Target Tracking and Data Fusion in Sensor Networks
- Robotics and Sensor-Based Localization
- Infrared Target Detection Methodologies
- Geochemistry and Geologic Mapping
- Building Energy and Comfort Optimization
- Soil Geostatistics and Mapping
- Neuroscience and Neural Engineering
- Microplastics and Plastic Pollution
- Impact of Light on Environment and Health
- Photoreceptor and optogenetics research
- Soil Carbon and Nitrogen Dynamics
- Power Systems and Renewable Energy
- Pharmaceutical and Antibiotic Environmental Impacts
- China's Ethnic Minorities and Relations
- Molecular Communication and Nanonetworks
- Effects and risks of endocrine disrupting chemicals
- Regional Development and Environment
- Urban Heat Island Mitigation
Northwest Normal University
2025
Hubei University of Technology
2025
Gansu University of Traditional Chinese Medicine
2025
Sun Yat-sen University
2024
Flemish Institute for Technological Research
2011-2012
Abstract. The Tarim river basin in China is a huge inland arid basin, which expected to be highly vulnerable climatic changes, given that most water resources originate from the upper mountainous headwater regions. This paper focuses on one of these headwaters: Kaidu subbasin. climate change impact surface and ground more specifically hydrological extremes were studied by using both lumped spatially distributed models, after simulation IPCC SRES greenhouse gas scenarios till 2050s. models...
Abstract The ecological situation of the Tarim River basin in China seriously declined since early 1950s, mainly due to a strong increase water abstraction for irrigation purposes. To restore system and support sustainable development region China, more hydrological studies are demanded properly understand processes watershed efficiently manage resources. Such are, however, complicated limited data availability, especially mountainous headwater regions basin. This study investigated...
Soil organic carbon (SOC) is a crucial component for investigating cycling and global climate change. Accurate data exhibiting the temporal spatial distributions of SOC are very important determining soil sequestration potential formulating strategies. An scheme mapping to establish link between environmental factors via different methods. The Shiyang River Basin third largest inland river basin in Hexi Corridor, which has closed geographical conditions relatively independent cycle system,...
State-of-the-art brain graph analysis methods fail to fully encode the small-world architecture of graphs (accompanied by presence hubs and functional modules), therefore lack biological plausibility some extent. This limitation hinders their ability accurately represent brain's structural properties, thereby restricting effectiveness machine learning models in tasks such as disorder detection. In this work, we propose a novel Biologically Plausible Brain Graph Transformer (BioBGT) that...
With global carbon emissions continuing to rise and urban energy demands growing steadily, understanding how block morphology impacts building photovoltaic (PV) efficiency consumption has become crucial for sustainable development climate change mitigation. Current research primarily focuses on individual optimization, while block-scale coupling relationships between PV utilization remain underexplored. This study developed an integrated prediction optimization tool using deep learning...
Abstract Multi-sensor fusion can improve the accuracy and reliability of information perception is widely used in autonomous driving, smart AGVs, drones, other intelligent agents.
Considering comprehensive efficiency economy, MMW radar camera with complementary advantages a potential solution driving perception. The calibration flexibility two sensors determines usability system.
Unlike traditional offline calibration, dynamic allows for flexible using targets found...
Abstract Natural ecosystems in the region of lower Tarim River northwestern China strongly deteriorated since 1950s due to an expanding desertification. As a result, downstream reaches became permanently dry land. This historical evolution land‐use change is typically result anthropogenic impact on natural ecosystems. On basis spatially distributed hydrological catchment model bidirectionally linked with fully hydrodynamic MIKE11 river model, changes characterized by leaf area index (LAI)...
Abstract. The Tarim river basin in China is a huge inland arid basin, which expected to be highly vulnerable climatic changes, given that most water resources originate from the upper mountainous headwater regions. This paper focuses on one of these headwaters: Kaidu subbasin. climate change impact surface and ground more specifically hydrological extremes were studied by using both lumped spatially distributed models, after simulation IPCC SRES greenhouse gas scenarios till 2050s. models...