Nanjing University of Information Science and Technology

Revealing spatial patterns and depth-dependent controls of soil organic carbon density across China using interpretable machine learning

Abstract Soil organic carbon density (SOCD) is a key indicator of soil health and a critical component of terrestrial carbon storage, yet its large-scale spatial organization and environmental controls remain insufficiently understood. Here, we assessed national-scale patterns an...

Intelligent fingerprinting of semi-volatile and intermediate-volatility organic compounds (S/IVOCs) from cooking emissions using pixel-resolved GCxGC-MS analysis

Semi-volatile and intermediate-volatility organic compounds (S/IVOCs) emitted from cooking are important secondary organic aerosol (SOA) precursors, yet their broad volatility range, chemical complexity, and extensive unresolved chromatographic signals hinder comprehensive charac...

Drivers of flash flood frequency and intensity in the United States: a quantitative analysis of hydrometeorological interactions

Abstract. Inconsistent changes in precipitation and flooding have spurred investigations into the underlying mechanisms, yet the quantitative understanding of interactions between precipitation, temperature, and land cover in streamflow dynamics remains limited. We investigate st...

Refined Multi-Source Satellite and Reanalysis Diagnostics Reveal Topographic Anchoring and Thermodynamic Control of the Tibetan Plateau Ozone Valley

The Tibetan Plateau ozone valley is a prominent summertime ozone minimum in the Northern Hemisphere upper troposphere–lower stratosphere (UTLS), with implications for regional radiative balance and climate. Although previous studies emphasized large-scale circulation during the A...

Demand Forecasting for Emergency Supplies in Public Health Emergencies via Multimodal Semantic Alignment and Joint Trend–Fluctuation Modeling

Demand forecasting for emergency supplies is critical for public health emergency response, but demand sequences are strongly affected by external factors such as epidemic progression, traffic control, medical resource adjustments, and weather conditions, leading to stage-wise dr...

Photovoltaic Panel Identification and Potential Assessment Based on Remote Sensing and Deep Learning: A Case Study of Yancheng City

The rapid expansion of PV power stations necessitates precise spatial mapping and balanced development planning, yet trade-offs between PV deployment and ecological conservation remain underexplored. This study evaluates the spatial distribution and development potential of PV in...

Parameter Recovery for the Three‐Dimensional Primitive Equations With Magnetic Field via Continuous Data Assimilation

ABSTRACT In this paper, we investigate the parameter recovery within the Azouani–Olson–Titi (AOT) continuous data assimilation framework for the three‐dimensional (3D) primitive equations with magnetic field. We analyze the long‐time error between the reference and assimilation s...