Monitoring based localisation of pollution sources

Water quality modelling is currently very effective and important tool in context of the task to ensure the required quality of water resources, respectively, to achieve (maintain) good water status according the Water Framework Directive (2000/60/EC). This paper analyses the current status in numerical modelling of pollution dispersion in streams and use of some modelling approaches for the inverse task. Inverse task means a modelling technique, which is focused on the localisation of unknown pollution source (typical common models or equations are rather focused on the pollution spreading simulation, whereas the pollution source location is known). Paper offers an idea of such inverse task solution. It is based on the known pollution concentration time courses or it can be based on the results of the on-line monitoring of the specific water quality parameters as well. For the application of inverse tasks in conditions of real streams and rivers a large number of various requirements and conditions in specific river should be considered, i. a. the non-prismatic river bed, occurrence of dead zones, dispersion rate etc. Paper also describes the first version of the software for solving inverse tasks and preliminary experiences of using this software.