A5032105492- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Spectroscopy and Laser Applications
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Air Quality Monitoring and Forecasting
- Atmospheric Ozone and Climate
- Vehicle emissions and performance
- Land Use and Ecosystem Services
- Marine and coastal ecosystems
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Data-Driven Disease Surveillance
- Remote Sensing in Agriculture
- Hydrocarbon exploration and reservoir analysis
- Water Quality Monitoring and Analysis
- Climate variability and models
- Advanced Optical Sensing Technologies
- Hydrology and Watershed Management Studies
- Evaluation Methods in Various Fields
- Soil and Water Nutrient Dynamics
- Remote Sensing and Land Use
- Climate Change, Adaptation, Migration
- Wind and Air Flow Studies
- Environmental Quality and Pollution
Wuhan University
2016-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2014-2025
China Agricultural University
2020-2024
Institute of Environment and Sustainable Development in Agriculture
2013-2024
Chinese Academy of Agricultural Sciences
2024
Nanjing Forestry University
2010-2024
Wuhan Donghu University
2024
Central South University
2024
Hohai University
2024
Liaoning University
2023
Abstract. Accurate estimation of the wind profile, especially in lowest few hundred meters atmosphere, is great significance for weather, climate, and renewable energy sector. Nevertheless, Monin–Obukhov similarity theory fails above surface layer over a heterogeneous underlying surface, causing an unreliable profile to be obtained from conventional extrapolation methods. To solve this problem, we propose novel method called PLM-RF that combines power-law (PLM) with random forest (RF)...
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. Accurate estimation of wind speed at turbine hub height is significance for energy assessment and exploitation. Nevertheless, the traditional power law method (PLM) generally estimates hub-height by assuming a constant exponent between surface speed. This inevitably leads to significant uncertainties in estimating profile especially under unstable conditions. To minimize uncertainties, we here use machine learning algorithm known as random forest (RF) estimate heights such 120 m...
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,...
CO 2 column-weighted dry-air mixing ratio ( X ) products with high precision and spatial resolution are essential for inverting fluxes promoting our understanding of global climate change. Compared passive remote sensing methods, IPDA LIDAR, as an active technique, offers many advantages in measuring . However, a significant random error LIDAR measurements causes values calculated directly from signals to be unqualified the final products. Hence, we propose efficient particle filter-based...
Reducing atmospheric ammonia (NH3) emissions is critical to mitigating poor air quality. However, the contributions of major agricultural and non-agricultural source NH3 at receptor sites remain uncertain in many regions, hindering assessment implementation effective reduction strategies. This study conducted simultaneous measurements monthly concentrations stable nitrogen isotopes NHx (gaseous plus particulate NH4+) 16 across China. Ambient averaged 21.7 ± 19.6 μg m-3 rural sites, slightly...
Hourly average monitoring data for mass concentrations of PM1, PM2.5, PM10, and black carbon (BC) were measured in Wuhan from December 2013 to 2014, which has a flourishing steel industry, analyze the characteristics PM their relation BC, using statistical methods. The results indicate that variations monthly have similar concave parabolic shapes, with highest values occurring January lowest appearing August or September. correlation coefficient linear regression model between PM1 PM2.5 is...
In comparison with coastal zones, islands are even more vulnerable to anthropogenic disturbance, especially tourism and tourism-induced activities. Despite a great number of studies on either island or vulnerability reviewed in this paper, knowledge practice the impact from upon ecological (IEV) still needs be expanded. contribution, IEV four administrative regions Zhoushan, China is assessed between 2012 2017 based an "exposure (E)-sensitivity (S)-adaptive capacity (A)" framework by means...
Abstract. Radiosonde (RS) is widely used to detect the vertical structures of planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that suitable under all atmospheric conditions does not exist. This study evaluates performance four common PBLH algorithms different thermodynamic stability based on data collected nine sites in January–December 2019. The are potential temperature gradient method (GMθ),...
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...
Methane is the second most important greenhouse gas after carbon dioxide. The intensity and distribution of methane source/sink in China are unknown. We collected column-averaged dry air mixing ratio CH4 (abbreviated as XCH4 hereafter) from TROPOMI for period 2018 to 2021, study spatial temporal change atmospheric concentration, providing clues foundations understanding China. It was found that roughly high East, low West, South North. Additionally, an evidently positive linear relationship...