Wenli Hua
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wenli Hua has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Hailing Xie
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
1 shared publication - Jianping Huang
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
1 shared publication - Jianrong Bi
Key Laboratory for Semi‐Arid Climate Change of the Ministry of Education College of Atmospheric Sciences Lanzhou University Lanzhou China
1 shared publication - Jingyi Tang
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
1 shared publication - Tian Zhou
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
1 shared publication - Tianhe Wang
Key Laboratory for Semi‐Arid Climate Change of the Ministry of Education College of Atmospheric Sciences Lanzhou University Lanzhou China
1 shared publication
Latest Publications
- Open Access
- 13 March 2021
- Published by MDPI AG in Remote Sensing
- Vol. 13 (6) , 1099
Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting
The satellite-based estimation of the dust mass concentration (DMC) is essential for accurately evaluating the global biogeochemical cycle of the dust aerosols. As for the uncertainties in estimating DMC caused by mixing dust and pollutants and assuming a fixed value for the mass extinction efficiency (MEE), a classic lidar-photometer method is employed to identify and separate the dust from pollutants, obtain the dust MEE, and evaluate the effect of the above uncertainties, during five dust field experiments in Northwest China. Our results show that this method is effective for continental aerosol mixtures consisting of dust and pollutants. It is also seen that the dust loading mainly occurred in the free troposphere (−2 trapped in the planetary boundary layer. The dust MEE ranges from 0.30 to 0.60 m2 g−1 and has a significantly negative relationship with the size of dust particles. With the assumption of the dust MEE of 0.37 (0.60) m2 g−1, the DMC is shown to be overestimated (underestimated) by 20–40% (15–30%). In other words, our results suggest that the change of MEE with the size of dust particles should be considered in the estimation of DMC.
- 13 March 2021
- Published by MDPI AG in Remote Sensing
- Vol. 13 (6) , 1099
Open AccessProfiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting
The satellite-based estimation of the dust mass concentration (DMC) is essential for accurately evaluating the global biogeochemical cycle of the dust aerosols. As for the uncertainties in estimating DMC caused by mixing dust and pollutants and assuming a fixed value for the mass extinction efficiency (MEE), a classic lidar-photometer method is employed to identify and separate the dust from pollutants, obtain the dust MEE, and evaluate the effect of the above uncertainties, during five dust field experiments in Northwest China. Our results show that this method is effective for continental aerosol mixtures consisting of dust and pollutants. It is also seen that the dust loading mainly occurred in the free troposphere (−2 trapped in the planetary boundary layer. The dust MEE ranges from 0.30 to 0.60 m2 g−1 and has a significantly negative relationship with the size of dust particles. With the assumption of the dust MEE of 0.37 (0.60) m2 g−1, the DMC is shown to be overestimated (underestimated) by 20–40% (15–30%). In other words, our results suggest that the change of MEE with the size of dust particles should be considered in the estimation of DMC.