Qing has a background in mathematics and studied Ecological Engineering at the Magdeburg-Stendal University of Applied Sciences for his master, where he focused on water quality modelling and reservoir management. In his second year, he worked as a student assistant handling high-frequency monitoring data of a reservoir observatory system (RRO) at the Helmholtz Central for Environmental Research, Magdeburg (UFZ). Later on, he continued his master thesis at UFZ investigating the dissolved organic carbon (DOC) dynamics in a drinking water reservoir in the Harz Mountains, Central Germany. For mitigating the DOC loading from this reservoir, he has constructed an optimization model including a decision-making module and a DOC dynamics simulation module, and then interpolated the high-frequency data into this model. Qing's reservoir operation model has been recognized with great interest in a presentation at the responsible reservoir authority (Talsperrenbetrieb Sachsen-Anhalt), and he has been awarded Otto-von-Guericke Scholarship during the last year of his master program (see news). Since July 10, 2020, Qing started to work at the AqE department of NIOO as a PhD candidate on the project titled "management of extreme events in lakes and catchments" (MANTEL-project), supervised by Dr. Lisette De Sernopont Domis of the working group "Aquatic Knowledge Centre Wageningen" (AKWA).
Kong, X., Zhan, Q., Boehrer, B., & Rinke, K. (2019). High frequency data provide new insights into evaluating and modeling nitrogen retention in reservoirs. water research, 166, 115017. https://doi.org/10.1016/j.watres.2019.115017
- 2019 NIOO open day