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Research Assistant Professor

Wei Qi

  • Brief Biography
  • Research
  • Teaching
  • Published Works

Dr. Wei Qi‘s research focus on global and regional extreme hydro-climatic events (e.g., drought and flood), their socioeconomic impacts and human adaptation based on novel mathematical approaches, physically-based global biosphere land surface hydrological models, remote sensing, reanalysis and modelled datasets. Additional research interests include snow hydrology, fusion models for ensemble hydrological simulation, water security, hydropower and sustainability. He has published over 10 papers as a first author in top journals of water resources. He serves as a reviewer for several journals, such as Water Resources Research and Journal of Hydrology. His research work has been cited several times by articles published in Nature.

 

EDUCATION

• Sep 2012- Oct 2016, Ph.D., Hydrology and Water resource, Dalian University of Technology
• Sep 2013-Sep 2015 Vising Ph.D., College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK
• Sep 2010-Aug 2012 Master, Hydrology and Water resource, Dalian University of Technology
• Sep 2006- July 2010 Bachelor, Water Resources and Hydropower Engineering, Zhengzhou University

 

WORK EXPERIENCE
• Jun 2019-Present, Research Assistant Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
• Apr 2017-Jun 2019, Post-doctoral researcher (Supervisor Prof. Jun Xia and Junguo Liu), School of Environmental Science and Engineering Southern University of Science and Technology
• Aug 2016-Mar 2017 Visiting scholar, School of Environmental Science and Engineering, Southern University of Science and Technology
• Sep 2013-Sep 2015 Research associate, College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK

 

RESEARCH INTERESTS
• Global and regional flood, drought and snow hydrology
• Climate change, extreme hydro-climatic events, social damages and engineering
• Hydrological models and land surface models
• Novel probability theories for uncertainty analysis
• Fusion models for ensemble hydrological simulation
• Water security, hydropower and sustainability

 

SELECTED 10 JOURNAL ARTICLES
• Wei Qi, Chi Zhang, Guangtao Fu, et al. Imprecise probabilistic estimation of design floods with epistemic uncertainties. Water Resources Research, 52, 2016. DOI: 10.1002/2015WR017663. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Huicheng Zhou, Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration. Journal of Hydrology, 533, 2016, 213-223. DOI: 10.1016/j.jhydrol.2015.11.052. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Huicheng Zhou, Global Land Data Assimilation System data assessment using a distributed biosphere hydrological model, Journal of Hydrology, 528, 2015, 652-667. DOI: 10.1016/j.jhydrol.2015.07.011. JCRQ1
• Wei Qi. A non-stationary cost-benefit analysis approach for extreme flood estimation to explore the nexus of ‘Risk, Cost and Non-stationarity’. Journal of Hydrology, 554, 2017, 128-136.  DOI: 10.1016/j.jhydrol.2017.09.009. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Chris Sweetapple, Huicheng Zhou. Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations, Hydrology and earth system science, 20, 2016, 903-920. DOI: 10.5194/hess-20-903-2016. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, et al. Quantifying uncertainties in extreme flood predictions under climate change for a medium-sized basin in northeast China. Journal of Hydrometeorology, 17(12), 2016, 3099-3112. DOI: 10.1175/JHM-D-15-0212.1. JCRQ1
• Wei Qi, Junguo Liu, Hong, Yang, Sweetapple, Chris. An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models. Journal of Hydrology, 2018, 558: 405-420. DOI: 10.1016/j.jhydrol.2018.01.026. JCRQ1
• Wei Qi, Junguo Liu. A non-stationary cost-benefit based bivariate extreme flood estimation approach. Journal of Hydrology, 2018, 557: 589-599. DOI: 10.1016/j.jhydrol.2017.12.045. JCRQ1
• Wei Qi, Junguo Liu, Deliang Chen. Evaluations and Improvements of GLDAS2.0 and GLDAS2.1 Forcing Data's Applicability for Basin Scale Hydrological Simulations in the Tibetan Plateau. 2018, Journal of Geophysical Research: Atmospheres, 123. DOI: 10.1029/2018JD029116. JCRQ1
• Wei Qi, Junguo Liu, Felix Leung. A framework to quantify impacts of elevated CO2 concentration, global warming and leaf area changes on seasonal variations of water resources on a river basin scale. Journal of Hydrology, 570, 2019, 508-522. DOI: 10.1016/j.jhydrol.2019.01.015. JCRQ1
 

RESEARCH INTERESTS
• Global and regional flood, drought and snow hydrology
• Climate change, extreme hydro-climatic events, social damages and engineering
• Hydrological models and land surface models
• Novel probability theories for uncertainty analysis
• Fusion models for ensemble hydrological simulation
• Water security, hydropower and sustainability

 

SELECTED 10 JOURNAL ARTICLES
• Wei Qi, Chi Zhang, Guangtao Fu, et al. Imprecise probabilistic estimation of design floods with epistemic uncertainties. Water Resources Research, 52, 2016. DOI: 10.1002/2015WR017663. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Huicheng Zhou, Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration. Journal of Hydrology, 533, 2016, 213-223. DOI: 10.1016/j.jhydrol.2015.11.052. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Huicheng Zhou, Global Land Data Assimilation System data assessment using a distributed biosphere hydrological model, Journal of Hydrology, 528, 2015, 652-667. DOI: 10.1016/j.jhydrol.2015.07.011. JCRQ1
• Wei Qi. A non-stationary cost-benefit analysis approach for extreme flood estimation to explore the nexus of ‘Risk, Cost and Non-stationarity’. Journal of Hydrology, 554, 2017, 128-136.  DOI: 10.1016/j.jhydrol.2017.09.009. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, Chris Sweetapple, Huicheng Zhou. Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations, Hydrology and earth system science, 20, 2016, 903-920. DOI: 10.5194/hess-20-903-2016. JCRQ1
• Wei Qi, Chi Zhang, Guangtao Fu, et al. Quantifying uncertainties in extreme flood predictions under climate change for a medium-sized basin in northeast China. Journal of Hydrometeorology, 17(12), 2016, 3099-3112. DOI: 10.1175/JHM-D-15-0212.1. JCRQ1
• Wei Qi, Junguo Liu, Hong, Yang, Sweetapple, Chris. An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models. Journal of Hydrology, 2018, 558: 405-420. DOI: 10.1016/j.jhydrol.2018.01.026. JCRQ1
• Wei Qi, Junguo Liu. A non-stationary cost-benefit based bivariate extreme flood estimation approach. Journal of Hydrology, 2018, 557: 589-599. DOI: 10.1016/j.jhydrol.2017.12.045. JCRQ1
• Wei Qi, Junguo Liu, Deliang Chen. Evaluations and Improvements of GLDAS2.0 and GLDAS2.1 Forcing Data's Applicability for Basin Scale Hydrological Simulations in the Tibetan Plateau. 2018, Journal of Geophysical Research: Atmospheres, 123. DOI: 10.1029/2018JD029116. JCRQ1
• Wei Qi, Junguo Liu, Felix Leung. A framework to quantify impacts of elevated CO2 concentration, global warming and leaf area changes on seasonal variations of water resources on a river basin scale. Journal of Hydrology, 570, 2019, 508-522. DOI: 10.1016/j.jhydrol.2019.01.015. JCRQ1