PhD title: Assessing flooding risks in China under climate change using a regionalised hydrological model
									Since the algorithm structure of the automatic calibration program that I wrote before is relatively simple, and the parameter effect and model applicability are judged only depending on the Nash-Sutcliffe efficiency, which cannot synthetically take the practical geography, environment characteristics and anthropogenic effects of river basins into account.
I need to learn more about SWIM, including formula of different modules, algorithm principle, etc. And then improving the algorithm of searching the optimal parameter set and add module of parameter sensitivity analysis. After that, applying it to different catchments to analyse its performance, simulating the runoff of catchment and evaluating the flooding risks in China under climate change.
								
																	Publications
									
																					
												Study on runoff under global warming of 1.5°C and 2.0°C in main stream of upper reaches of the Huaihe River (in Chinese) ZHA Qian-Yu; GAO Chao; YANG Ru; LIU Yue; RUAN Tian; LI Peng (2018) CLIMATE CHANGE RESEARCH, 14(6):583-592. DOI: 10.12006/j.issn.16731719.2018.067											
																						
												Effects on runoff above the Cuntan station area in the Yangtze River basin under the 1.5°C and 2.0°C global warming (in Chinese) RUAN Tian; ZHA Qian-Yu; YANG Ru; GAO Chao (2019) Resources and Environment in the Yangtze Basin 28(2):407-415. DOI: 10.11870/cjlyzyyhj201902017											
																				
Further Information
In 2016, I took part in a project Remote Sensing Interpretation for “The Belt and Road” and worked with the staffs from Geological Survey of Anhui Province (Anhui Institute of Geological Sciences). I successfully completed a part of interpretation work of Tadzhikistan and achieved an excellent interpretation effect.
 
https://orcid.org/0000-0002-9563-4756