Viviane Furrer

ORCID: 0000-0002-6993-4958
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About
Contact & Profiles
Research Areas
  • Water Quality Monitoring Technologies
  • Wastewater Treatment and Nitrogen Removal
  • Urban Stormwater Management Solutions
  • Land Use and Ecosystem Services
  • Water Quality Monitoring and Analysis
  • Analytical Chemistry and Sensors
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Urban Green Space and Health
  • Water Treatment and Disinfection
  • Hydrology and Watershed Management Studies
  • Urban Heat Island Mitigation
  • Groundwater flow and contamination studies
  • Energy Efficient Wireless Sensor Networks

Swiss Federal Institute of Aquatic Science and Technology
2018-2025

ETH Zurich
2018-2025

Urban wet-weather discharges from combined sewer overflows (CSO) and stormwater outlets (SWO) are a potential pathway for micropollutants (trace contaminants) to surface waters, posing threat the environment possible water reuse applications. Despite large efforts monitor in last decade, gained information is still limited scattered. In metastudy we performed data-driven analysis of measurements collected at 77 sites (683 events, 297 detected micropollutants) over decade investigate which...

10.1016/j.watres.2022.118968 article EN cc-by Water Research 2022-08-09

Combined sewer overflows (CSOs) are an important pathway of organic micropollutants from urban areas to open water bodies. Understanding the temporal dynamics these during overflow events is crucial for applying appropriate sampling methods and implementing effective management strategies. Yet, little known about in CSOs, because most studies report concentrations single grab samples or event mean (EMCs). With unique high resolution measurements (3 min), we show real polar CSOs one small...

10.1016/j.wroa.2023.100202 article EN cc-by Water Research X 2023-09-12

Organic micropollutants in combined sewer overflows (CSOs) pose a potential risk to aquatic ecosystems. Previous studies mainly reported event mean concentrations (EMCs) and often focused on small number of substances. This study presents realistic exposure scenarios using high-temporal resolution (10-minute) data from 24 events at two CSO sites. We analyzed 49 dissolved organic for all 198 four events, including pharmaceuticals, pesticides, road-related compounds, which we detected 83...

10.1016/j.watres.2025.123318 article EN cc-by Water Research 2025-02-19

On-site wastewater treatment plants (OSTs) are usually unattended, so failures often remain undetected and lead to prolonged periods of reduced performance. To stabilize the performance unattended plants, soft sensors could expose faults operator. In a previous study, we developed showed that with data from unmaintained physical can be as accurate maintained ones. The monitored variables were pH dissolved oxygen (DO), used predict nitrification present use synthetic monitor three test these...

10.1021/acs.est.9b07760 article EN Environmental Science & Technology 2020-07-24

On-site wastewater treatment plants are usually unattended, so undetected failures often lead to prolonged periods of reduced performance. To stabilize the good performance unattended plants, soft-sensors could expose faults and operator. In a previous study, we developed showed that with data from unmaintained physical sensors can be as accurate maintained ones. The quantities sensed were pH dissolved oxygen (DO), used predict nitrification present use synthetic monitor three test these...

10.31224/osf.io/x8g4r preprint EN 2019-12-19

Sensor maintenance is time-consuming and a bottleneck for monitoring on-site wastewater treatment systems. Hence, we compare maintained unmaintained pH, dissolved oxygen (DO), oxidation-reduction potential (ORP) sensors to monitor the biological performance of small-scale sequencing batch reactor (SBR). We created soft using engineered features: ammonium valley oxidation ramp DO, nitrite ORP. found that pH are able reliably identify completion in SBR’s effluent even without sensor over year....

10.31224/osf.io/ndm7f preprint EN 2018-12-31
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