A5046457610- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Air Quality Monitoring and Forecasting
- Soil Moisture and Remote Sensing
- Atmospheric Ozone and Climate
- Air Quality and Health Impacts
- Salmonella and Campylobacter epidemiology
- Hydrology and Drought Analysis
- Environmental Changes in China
- Environmental and Agricultural Sciences
- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Water Quality Monitoring and Analysis
- Precipitation Measurement and Analysis
- Escherichia coli research studies
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Vibrio bacteria research studies
- Advanced Wireless Communication Techniques
- Bacteriophages and microbial interactions
- Pharmaceutical and Antibiotic Environmental Impacts
United States Food and Drug Administration
2002-2025
Center for Veterinary Medicine
2018-2025
Liaoning University of Technology
2025
Xi'an University of Technology
2025
Sichuan Agricultural University
2025
Lu'an First People's Hospital
2025
Satellite Application Center for Ecology and Environment
2015-2024
Ministry of Ecology and Environment
2015-2024
Shanghai University
2022
Zhoukou Normal University
2022
This paper developed a practical split-window (SW) algorithm to estimate land surface temperature (LST) from Thermal Infrared Sensor (TIRS) aboard Landsat 8. The coefficients of the SW were determined based on atmospheric water vapor sub-ranges, which obtained through modified covariance–variance ratio method. channel emissivities acquired newly released global cover products at 30 m and fraction vegetation calculated visible near-infrared images Simulation results showed that new can obtain...
Abstract Accurate estimation of the satellite‐based global terrestrial latent heat flux (LE) at high spatial and temporal scales remains a major challenge. In this study, we introduce Bayesian model averaging (BMA) method to improve LE by merging five process‐based algorithms. These are Moderate Resolution Imaging Spectroradiometer (MODIS) product algorithm, revised remote‐sensing‐based Penman‐Monteith Priestley‐Taylor‐based modified Priestley‐Taylor semi‐empirical Penman algorithm. We...
Abstract. Formaldehyde (HCHO) in the ambient air not only causes cancer but is also an ideal indicator of volatile organic compounds (VOCs), which are major precursors ozone (O3) and secondary aerosol (SOA) near surface. It meaningful to differentiate between direct emission formation HCHO for pollution control sensitivity studies O3 production. However, understanding sources still poor China, due scarcity field measurements (both spatially temporally). In this study, tropospheric vertical...
Land surface temperature (LST) is one of the key parameters in hydrology, meteorology, and energy balance. The National Oceanic Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) Enterprise algorithm adapted to Landsat-8 data obtain estimate LST. coefficients were obtained by linear regression using analog produced comprehensive radiative transfer modeling. performance was first tested simulation then validated ground measurements. In addition, accuracy compared...
In recent years, there have been increased reports on the detection of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli and Salmonella strains from food-producing animals animal products in United States. We characterized 18 ESBL E. isolates cattle (n = 5), chicken breast ground turkey 6), beef 1), pork chops 1) that were collected by National Antimicrobial Resistance Monitoring System (NARMS) between 2011 2015. vitro antimicrobial susceptibility testing was done against a...
China faces increasingly serious water scarcity due to the uneven distribution of available resources, rapid economic development, and pollution. The current war on pollution by Chinese government requires nationwide quality information at high spatiotemporal resolution that can be obtained only remote sensing (RS) methods. However, it is challenging remotely retrieve such from turbid Case-2 waters. This paper reviews four aspects major achievements in sensed coastal inland China....
The classification criteria are established to classify the water of Taihu Lake into four classes based on above-water remote sensing reflectance (R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rs</sub> ), i.e., types A D. Among types, type spectra represented case waters where algal blooms or aquatic plants appeared, while B is referred with high suspended matter concentration and low chlorophyll a (C...
The long-range transport of biomass burning pollutants from Southeast Asia has a significant impact on air quality in China. In this study, the Moderate Resolution Imaging Spectroradiometer (MODIS) fire data and aerosol optical depth (AOD) products Tropospheric Monitoring Instrument (TROPOMI) carbon monoxide (CO) were used to analyze pollution caused by southern Results showed that Yunnan, Guangdong Guangxi deeply affected emissions March April during 2016–2020. Comparing for fires...
Potential evapotranspiration (PET) is an important indicator of atmospheric evaporation demand and has been widely used to characterize hydrological change. However, sparse observations pan (EP) prohibit the accurate characterization spatial temporal patterns PET over large scales. In this study, we have estimated China using Penman-Monteith (PM) method driven by gridded reanalysis datasets analyze decadal variations in during 1982–2010. The results show that decreased on average 3.3 mm per...
Terrestrial latent heat flux (LE) is a key component of the global terrestrial water, energy, and carbon exchanges. Accurate estimation LE from moderate resolution imaging spectroradiometer (MODIS) data remains major challenge. In this study, we estimated daily for different plant functional types (PFTs) across North America using three machine learning algorithms: artificial neural network (ANN); support vector machines (SVM); and, multivariate adaptive regression spline (MARS) driven by...
The global incidence of Salmonella enterica serovar Schwarzengrund has risen in recent years. This serotype been isolated from poultry, retail meat, and other food products, leading to multiple outbreaks. Alongside the increase infections, there are growing concerns about increasing levels antimicrobial resistance (AMR) among S. strains. study aims better understand genetic factors possibly contributing rising prevalence by analyzing sequences 2058 isolates both human patients (N = 313)...
This study aimed to gain a better understanding of how resistance determinants in Salmonella and Campylobacter contribute 14-, 15- 16-membered ring macrolide phenotypes. A total 126 azithromycin-resistant (AziR) -susceptible (AziS) [Salmonella (n = 45) 81)] isolates were selected for antimicrobial susceptibility testing (AST) WGS. Seven functional determinants, including erm(42), mef(C), mph(A), mph(E), mph(G), msr(E) one point mutation (acrB_R717L) previously identified AziR Salmonella....