A5057025418- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Spectroscopy and Laser Applications
- Atmospheric aerosols and clouds
- Air Quality and Health Impacts
- Atmospheric Ozone and Climate
- Geochemistry and Geologic Mapping
- Advanced Memory and Neural Computing
- Optimization and Variational Analysis
- CCD and CMOS Imaging Sensors
- Listeria monocytogenes in Food Safety
- Remote Sensing and LiDAR Applications
- Data-Driven Disease Surveillance
- Advanced Neural Network Applications
- Functional Equations Stability Results
- Advanced Power Amplifier Design
- Vehicle emissions and performance
- Salmonella and Campylobacter epidemiology
- Differential Equations and Boundary Problems
- Plant Water Relations and Carbon Dynamics
- Essential Oils and Antimicrobial Activity
- Network Security and Intrusion Detection
- Coal Properties and Utilization
- Advancements in Battery Materials
Laboratoire des Sciences du Climat et de l'Environnement
2024-2025
Wuhan University
2019-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2019-2024
Centre National de la Recherche Scientifique
2024
CEA Paris-Saclay
2024
Université de Versailles Saint-Quentin-en-Yvelines
2024
Université Paris-Saclay
2024
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2024
Shanghai Municipal Center For Disease Control Prevention
2024
Xidian University
2024
Abstract China is likely the world's largest anthropogenic source of methane emissions, with coal mine (CMM) being predominant contributor. Here, we deploy 2 years satellite observations to survey facility‐level CMM emitters in Shanxi, most prolific mining province China. A total 138 detected episodic events at 82 facilities are estimated emit 1.20 (+0.24/−0.20, 95% CI) million tons per year (Mt CH 4 /yr) during 2021–2023, roughly equivalent 4.2 times integrated flux from Permian plumes and...
Remotely sensed products are of great significance to estimating global gross primary production (GPP), which helps provide insight into climate change and the carbon cycle. Nowadays, there three types emerging remotely that can be used estimate GPP, namely, MODIS GPP (Moderate Resolution Imaging Spectroradiometer MYD17A2H), OCO-2 SIF, GOSIF. In this study, we evaluated performances for compared with eddy covariance(EC) from perspectives a single tower (23 flux towers) vegetation (evergreen...
Abstract Oceans are widely regarded as major offsets for anthropogenic carbon emissions, leading to an evident lower measured atmospheric CO 2 concentration than expected. It is thus of great significance develop effective means monitor fluxes over oceans globally. In this work, we utilized observations obtained by airborne ‐IPDA LIDAR evaluate the potential such in estimating sea‐air flux. During a flight experiment 2019, have estimated exchange rate, −1.5 ± 0.18 mmol/m /h, between Bohai...
Abstract Development of the measurement-based carbon accounting means is great importance to supplement traditional inventory compilation. Mobile CO 2 /CH 4 measurement provides a flexible way inspect plant-scale emissions without need notify factories. In 2021, our team used vehicle-based monitor system conduct field campaigns in two cities and one industrial park China, totaling 1143 km. Furthermore, we designed model based on sample concentrations evaluate emissions, EMISSION-PARTITION,...
Communities adjacent to concentrated areas of industrial land use (CAILU) are exposed elevated levels pollutants during flood disasters. Many CAILU also characterized by insufficient infrastructure, poor environmental quality, and socially vulnerable populations. Manchester, TX is a marginalized neighborhood proximate several petrochemical sites that prone frequent flooding. Pollutants from stormwater runoff discharge uses into residential have created increased toxicant exposures. Working...
With the rapid growth of GHG monitoring satellites, more and studies focused on issue inversion/optimization CO2 fluxes using satellite-derived XCO2 observations in recent years. A common critical challenge this framework is separation background anomalies from observations, which directly affect performance inversion. We proposed a novel method to accurately extract satellite observations. series observing system simulation experiments were performed test method. found that bias uncertainty...
The uncertainty of carbon fluxes the terrestrial ecosystem is highest among all flux components, calling for more accurate and efficient means to monitor land sinks. Gross primary productivity (GPP) a key index estimate flux, which describes total amount organic fixed by green plants through photosynthesis. In recent years, solar-induced chlorophyll fluorescence (SIF), probe vegetation photosynthesis can quickly reflect state growth, emerges as novel promising proxy GPP. launch Orbiting...
Quantification of the distribution CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> dry-air mixing ratio (XCO ) is crucial for understanding carbon cycle. However, clouds and aerosols in line light create spectral interference with signals. This can result a low yield XCO retrievals, thus limiting application these valuable satellite data. In this study, we developed an innovative methodology to obtain maps high spatial temporal...
Crowd anomaly detection under surveillance scene is a quite challenging task, which often companies with not rare objects, unexpected bursts in activity and complex dynamic patterns. In this paper, we propose social multiple-instance learning(MIL) framework dual-branch network by considering interaction among groups, individuals environment to obtain attentive spatial-temporal feature representation. First, MIL employed overcome the challenge of training abnormal samples video-based labels....
In this paper, we investigate the singularities of potential energy functionals \(\phi(\cdot)\) associated with semiconcave functions \(\phi\) in Borel probability measure space and their propagation properties. Our study covers two cases: when is a function \(u\) weak KAM solution Hamilton-Jacobi equation \(H(x, Du(x)) = c[0]\) on smooth closed manifold. By applying previous work equations Wasserstein space, prove that \(u(\cdot)\) will propagate globally solution, dynamical cost \(C^t\)...
Abstract Quantifying the role of air‐sea CO 2 exchange is essential for accurately estimating global carbon balance, which dependent on spatial and temporal resolution ocean surface dioxide partial pressure (). When dealing with as a vast complex system, most existing studies tend to partition into small‐scale regions. To account interactions environmental variables across multiple regions, we used machine learning algorithms holistically reconstruct 20‐year map at high 4 × km based products...
Abstract. There are plenty of monitoring methods to quantify gas emission rates based on concentration measurements around the strong sources. However, there is a lack quantitative models evaluate methane from coal mines with less prior information. In this study, we develop genetic algorithm–interior point penalty function (GA-IPPF) model calculate large sources CH4 samples. This can provide optimized dispersion parameters and self-calibration, thus lowering requirements for auxiliary data...
Carbon observation satellites based on passive theory (e.g., OCO-2/3, GOSAT-1/2, and TanSat) have relatively high carbon dioxide column concentration (XCO2) accuracy when the conditions are met. Passive data bias coverage deficiencies due to cloud cover, low albedo, low-light conditions, aerosol scattering, resulting in that cannot meet demand for high-precision, all-day, all-weather XCO2 monitoring. Active detection urgently needed support global sources, sinks, neutrality. China intends...
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