Personal Information

Zhaoyang ZHANG, Lecturer

Room 612, Block 17, Zhejiang Normal University

Jinhua, Zhejiang Province, China 321000

+86-17074220556

zhzhyang@outlook.com

Research interesting: quantitative monitoring of remote

sensing; aerosol pollution and its impact of ecological

environment.

EDUCATION AND RESEARCH

Zhejiang Normal University, Zhejiang

l  Lecture, January 2017-Now

—     Developed new algorithm for retrieving aerosol optical properties from Himawari-8.

—     Evaluated the influence of aerosol on ecosystem.

Hong Kong Polytechnic University, Hong Kong

l  Ph.D. candidate, September 2013-January 2017

Thesis: long term research of aerosol optical thickness derived from visibility in china and a case study of the impact of urbanization

—     Developed new algorithm for retrieving long-term aerosol optical depth from surface visibility during 1973-2014.

—     Evaluated the representativeness of ground-based visibility for analyzing the spatial and temporal variability of aerosol optical depth in China

—     Estimated global trends of aerosol optical thickness using non-linear method.

—     Identified possible source regions of the PM_2.5 mass concentrations based on the backward trajectory modelling in Beijing, China.

—     Prepared emission in chemical transport model and investigated the characteristic of air pollution over China using WRF-Chem.

—     Applying GRASP algorithm to Himawari satellite to obtain aerosol optical properties.

University of Chinese Academy of Sciences, Beijing, China

l  M.S., August 2010-June 2013

Thesis: Joint inversion of vertical aerosol profile and application research

—     Proposed a method to retrieve the column-averaged aerosol extinction-to-backscatter ratio using aerosol size distribution and complex refractive index of sun photometer.

—     Retrieved the mixed layer height and aerosol vertical profile with combination of micro-pulse LIDAR and sun photometer.

Shandong University of Science and Technology, Qingdao, China

l  B.S., August 2006- June 2010

—     Developed algal bloom observation and monitoring system using C# language.

COMPUTER SKILLS

—     Operating Systems: Windows; Linux

—     Experience in running the WRF-Chem model

—     Ability to use the 6S; SBDART; and RTTOV radiative transfer models

—     Programming Languages: Matlab; IDL

—     Professional Softwares: ArcGIS; ERDAS; ENVI; Weka

PUBLICATIONS

1.    Zhang, Z.*, Wu, W., Fan, M., Wei, J., Tan, Y. and Wang, Q.*, (2019). Evaluation of MAIAC aerosol retrievals over China. Atmospheric Environment. (SCI, In Press)

2.    Zhang, Z.*, Wu, W., Fan, M., Tao, M., Wei, J., Jin, J., Tan, Y. and Wang, Q.*, (2018). Validation of Himawari-8 aerosol optical depth retrievals over China. Atmospheric Environment, 199, pp.32-44. (SCI)

3.    Zhang, Z.*, Fan, M., Wu, W., Wang, Z., Tao, M., Wei, J. and Wang, Q.*, (2018). A simplified aerosol retrieval algorithm for Himawari-8 Advanced Himawari Imager over Beijing. Atmospheric Environment, 199, pp.127-135. (SCI)

4.    Wei, J., Sun, L., Peng, Y., Wang, L., Zhang, Z., Bilal, M., and Ma, Y. (2018). An improved high-spatial-resolution aerosol retrieval algorithm for MODIS images over land. Journal of Geophysical Research: Atmospheres. (SCI)

5.    Zhang, Z., Wong, M.S.*, Campbell, J.R., (2018). Conceptualizing How Severe Haze Events Are Impacting Long-Term Satellite-Based Trend Studies of Aerosol Optical Thickness over Asia. Land-Atmospheric Research Applications in South and Southeast Asia – Springer Book. (Book chapter)

6.    Wei, J., Sun, L., Huang, B., Bilal, M., Zhang, Z., and Wang, L. (2017). Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment. (SCI)

7.    Zhang, Z., Wu, W., Wei, J., Song, Y., Yan, X., Zhu, L.* and Wang, Q.*, (2017). Aerosol optical depth retrieval from visibility in China during 1973–2014. Atmospheric Environment, 171, pp.38-48. (SCI)

8.    Wei, J., Huang, B., Sun, L., Zhang, Z., Wang, L., and Bilal, M. (2017). A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research: Atmospheres. (SCI)

9.    Zhang, Z., Wong, M.S.*, A Simplified Method for Retrieving Aerosol Optical Thickness Using Visibility Data Between 1980 and 2014, A Case Study in China, Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017.10, 10(10)：4409 ~ 4416. (SCI)

10.  Zhang, Z., Wong, M.S.* and Lee, K.H., (2016). Evaluation of the representativeness of ground-based visibility for analyzing the spatial and temporal variability of aerosol optical thickness in China. Atmospheric Environment, 2016(147), 31-45. (SCI)

11.  Zhang, Z., Wong, M.S.* and Nichol, J., (2016). Global trends of aerosol optical thickness using the ensemble empirical mode decomposition method. International Journal of Climatology, 2016 (36), 4358–4372. (SCI)

12.  Zhang, Z., Wong, M.S.* and Lee K H, (2015). Estimation of potential source regions of PM 2.5 in Beijing using backward trajectories. Atmospheric Pollution Research, 173-177. (SCI)

13.  Zhang Z., Su L.*, Chen L.F., 2014. The Ground-based Lidar Combined with Sun photometer for Aerosol Vertical Profiles and Optical Properties over Beijing[C]. IOP Conference Series: Earth and Environmental Science. IOP Publishing, 17(1): 012033. (EI)

14.  Zhang Z., Su L. *, Chen L.F., 2013. Retrieval and Analysis of Aerosol Lidar Ratio at Several Typical Regions in China [J]. Chinese Journal of Lasers, 40(5): 0513002. (EI)

Research Group

[1]Name of Research Group:生态定量遥感研究组