CV

Education

• 09/2010-06/2014, B.E., Groundwater Science and Engineering, Chang’an University
• 09/2014-06/2017, M.E., Hydraulic Engineering, Chang’an University
• 09/2017-12/2020, Ph.D., Physical Geography, Sun Yat-sen University
• 09/2019-09/2020, Ph.D. (Joint Training Ph.D. Student), Hydraulic Engineering, University of Oslo

Research Interests

Hydrological modelling and parameters optimization, hydrological change detection and attribution research, information mining of hydrological data, and the application of deep learning algorithms in hydrological modelling.

Selected Honours & Awards

China National Scholarship

Publications

Assessment on long-term fluctuations of runoff and its climate driving factors

Change-point detection and variation assessment of the hydrologic regime of the Wenyu River

Water resource allocation based on ET in Luannan County

A Clustering Preprocessing Framework for the Subannual Calibration of a Hydrological Model Considering Climate‐Land Surface Variations

Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models

Modeling saltwater intrusion using an integrated Bayesian model averaging method in the Pearl River Delta

Dynamics of hydrological-model parameters: mechanisms, problems and solutions

Detection and attribution of abrupt shift in minor periods in human-impacted streamflow

Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm

A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics

A framework for visualizing the convergence performance of global optimization algorithms for hydrological models

An integrated framework of input determination for ensemble forecasts of monthly estuarine saltwater intrusion

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Research

Hydrological change detection and attribution research is the research topic of my Master’s Thesis. The research redefined the concept of hydrological change, and fundamentally introduced the mechanism of hydrological change. An emphasis is placed on the state-of-the-art hydrological change detection system, which is put forward based on Hydrological statistics, Time series theory, Systems theory, Potential physical mechanism of hydrological change. The current research topic is developing a comprehensive sub-period calibration framework to improve the accuracy of hydrological forecasting by improving process representation and optimization scheme, which is further integrated with reservoir scheduling.