Closing date for applications:  • Location: Leipzig PhD position (f/m)
The protection of receiving systems (i.e. surface and groundwater bodies) against potential impacts by various influencing components has become increasingly challenging due to emerging contaminants such as xenobiotics. The effects of these substances on the environment and human life are still not quantifiable and are therefore of focus in current scientific research. A strong potential for safety hazards is provided by sewer leakage (i.e. exfiltration). Due to the high span width of sewer age and the associated various sewer failure types, the spatiotemporally highly variable exfiltration of contaminants of various species may provide long-term impact on our ecosystems. For adequate ecotoxicological risk assessment, contaminant concentrations in time and space need to be obtained by adapted field methods and sound statistical analyses. Therefore, the overall objective of this project is to quantify the prediction capability with which a given groundwater monitoring system can locate sewer pipe segments as sources of sub-surface contamination utilising Monte-Carlo modelling approaches. This will avail to deduct optimised groundwater monitoring concepts from a given sewer network layout with a desired accuracy and defined acceptable uncertainty by means of multi-objective optimisation.