Title: Associate Professor
Graduate College：Lanzhou University.
Unit:MOE Key Laboratory of Western China’s Environmental Systems
2011: PhD, Meteorology Application, Lanzhou University. 2003: B.S. Computer science, Lanzhou University
Application and improvement of distributed hydrological model; Coupling regional climate model and hydrological model
2014-present: Associate Professor, Key laboratory of west China’s Environmental System (Ministry of Education), College of Earth and Environment Sciences, Lanzhou University. 2011 - 2014: Postdoctor, Key laboratory of west China’s Environmental System (Ministry of Education), College of Earth and Environment Sciences, Lanzhou University.
1. Distributed hydrological model in watershed 2. Python language
1. Zhang, L., C. He*, M. Zhang, Y. Zhu. 2019. Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China. Science China Earth Sciences. 201902. 2. Zang, L., C. He*, M. Zhang. 2017. Multi-Scale Evaluation of the SMAP Product Using Sparse In-Situ Network over a High Mountainous Watershed, Northwest China. Remote sensing. 9(11), 1111. (SCI 2区). 3. Zhang, L., C. He*, X. Bai, Y. Zhu. 2017. Physically-based adjustment factors for precipitation estimation in a large arid mountainous watershed, Northwest China. Journal of Hydrologic Engineering. 22 (11), 04017047. 4. Zhang, L., C. He*, J. Li, Y. Wang, Z. Wang. 2017. Comparison of IDW and physically-based IDEW method in hydrological modelling for a large mountainous watershed, Northwest China. River research and applications. 33 (6), 912-924. 5. Zhang, L, X. Jin, C. He*, B. Zhang, X. Zhang, J. Li, C. Zhao, J. Tian, C. DeMarchi. 2016. Comparison of SWAT and DLBRM for hydrological modelling of a mountainous watershed in arid Northwest China. Journal of Hydrologic Engineering. 21(5), 04016007. 6. Zhang, L., S. Wang, C. He*, K. Shang, L. Meng, X. Li, B. M. Lofgren. 2015. A New Method for Instant Correction of Numerical Weather Prediction Products in China. Science China Earth Sciences. 58(2), 231-244. 7. Zhang, L., S. Wang, C. He*, X. Jin. 2014. Development of an instant correction and display system of Numerical Weather Prediction Products in China. Chinese Geographical Science. 24(6), 682-693. 8. Li, J., L. Zhang*, C. He*, C. Zhao. 2018. A Comparison of Markov Chain Random Field and Ordinary Kriging Methods for Calculating Soil Texture in a Mountainous Watershed, Northwest China. Sustainability. 10, 2819. 9. Jiang, Y., L. Zhang*, B. Zhang, C. He*, X. Jin, X. Bai. 2016. Modeling irrigation management for water conservation by DSSAT-maize model in arid northwestern China. Agricultural Water Management. 177, 37-45. 10. Zhang, B.Q., M. Burnham, C. He*, L. Zhang. 2015. Evaluating the coupling effects of climate aridity and vegetation restoration on soil erosion over the Loess Plateau in China. Science of The Total Environment. 539, 436-449. 11. Zhang, X., L. Zhang, C. He*, J. Li, Y. Jiang, L. Ma. 2014. Quantifying the impacts of land use/land cover change on groundwater depletion in Northwestern China – A case study of the Dunhuang oasis. Agricultural Water Management. 146, 270-279. 12. Jin, X., C. He*, L. Zhang, B.Q. Zhang. 2018. A Modified Groundwater Module in SWAT for Better Streamflow Simulation in a Large Arid Endorheic River Watershed, Northwest China. Chinese Geographical Science. 28(1), 47-60. 13. Jin, X.，L. Zhang，J. Gu，C. Zhao，J. Tian，C. He*. 2015. Modeling the impacts of spatial heterogeneity in soil hydraulic properties on hydrological process in the upper reach of the Heihe River in the Qilian Mountains, Northwest China. Hydrological Processes. 29(15), 3318-3327. 14. He, C. *, L. Zhang, C. DeMarchi, T.E. Croley II. 2014. Estimating point and non-point source nutrient loads in the Saginaw Bay watersheds. J. Great Lakes Research. 40 (7165), 11-17. 15. Fu, L., L. Zhang, C. He*. 2014. Analysis of Agricultural Land Use Change in the Middle Reach of the Heihe River Basin, Northwest China. International Journal of Environmental Research and Public Health. 11(3), 2698-2712.