Qihou Hu
According to our database1,
Qihou Hu
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China.
Remote. Sens., February, 2024
2023
Differences in the Vertical Distribution of Aerosols, Nitrogen Dioxide, and Formaldehyde between Islands and Inland Areas: A Case Study in the Yangtze River Delta of China.
Remote. Sens., December, 2023
Analysis of the Vertical Distribution and Driving Factors of Aerosol and Ozone Precursors in Huaniao Island, China, Based on Ground-Based MAX-DOAS.
Remote. Sens., November, 2023
A Deep Learning Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China.
Remote. Sens., August, 2023
2022
Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation.
Remote. Sens., 2021
Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China.
Remote. Sens., 2021
Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO.
Remote. Sens., 2021
Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar.
Remote. Sens., 2021
Retrieval of Stratospheric HNO3 and HCl Based on Ground-Based High-Resolution Fourier Transform Spectroscopy.
Remote. Sens., 2021
Vertical Structure of Air Pollutant Transport Flux as Determined by Ground-Based Remote Sensing Observations in Fen-Wei Plain, China.
Remote. Sens., 2021
2020
Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China.
Remote. Sens., 2020
2018
The Influence of Instrumental Line Shape Degradation on the Partial Columns of O<sub>3</sub>, CO, CH<sub>4</sub> and N<sub>2</sub>O Derived from High-Resolution FTIR Spectrometry.
Remote. Sens., 2018