Claudia Cascone
Presentation
I mainly work with the development of a Python toolbox for analysis of high sampling frequency data of optical sensors (absorbance and fluorescence) in drinking water treatment. The aim is to quantify and characterize natural organic matter (NOM). High concentration of NOM can affect the taste and odor of the produced water, growth of bacteria, viruses and parasites, as well as the formation of carcinogenic disinfection byproducts (DBPs). The project also aims at a deeper characterisation of NOM fractions from surface water to processed water, using mass spectrometry techniques in relation with organic micropollutants and pharmaceuticals.
Research
Genomljusning (for the Swedish version click on Genomljusning Swedish version)– Optical sensors: the incoming future for process optimization in drinking water treatment plants
Background
Bachelor's degree in Environmental monitoring and assessment and Master's degree in Environmental sciences, Department of Chemistry and Biology, UNISA, Italy
Traineeship in Analytical Chemistry, Stockholm University, Sweden
Supervision
The supervisor group:
Professor Stephan J. Köhler, Department of Aquatic Sciences and Assessment, SLU
Associate professor Kathleen Murphy, Department of Architecture and Civil Engineering, Division of Water Environment Technology, Chalmers University of Technology
Dr. Hampus Markensten, Department of Aquatic Sciences and Assessment, SLU
Dr. Elin E. Lavonen, Drinking water specialist, Veolia Water Technologies
Dr. Anders Düker, Chemist, SLU
Main supervisor for:
- Master Thesis: Olov Stenberg, Uppsala University, Sweden
- Traineeship post laurea: Annarita Valenzano, University of Parma, Italy (report delivered to Görväln water treatment plant, Norrvatten, Stockholm, Sweden)
Selected publications
Golovko, O., De Brito Anton, L., Cascone, C., Ahrens, L., Lavonen, E., and Köhler, S.J. (2020). Sorption Characteristics and Removal Efficiency of Organic Micropollutants in Drinking Water Using Granular Activated Carbon (GAC) in Pilot-Scale and Full-Scale Tests. Water, doi:10.3390/w12072053
Hoffmeister, S., Murphy, K. R., Cascone, C., Ledesma, J. L. J., and Köhler, S. J. (2020). Evaluating the accuracy of two in situ optical sensors to estimate DOC concentrations for drinking water production. Environmental Science: Water Research & Technology, doi: 10.1039/d0ew00150c.