Viktor Bergion

ORCID: 0000-0002-8864-5799
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About
Contact & Profiles
Research Areas
  • Fecal contamination and water quality
  • Water resources management and optimization
  • Child Nutrition and Water Access
  • Wastewater Treatment and Reuse
  • Economic and Environmental Valuation
  • Hydrology and Watershed Management Studies
  • Urban Stormwater Management Solutions
  • Water Systems and Optimization
  • Environmental and Social Impact Assessments
  • Vibrio bacteria research studies
  • Climate Change Policy and Economics
  • Food Waste Reduction and Sustainability
  • Water Quality and Pollution Assessment
  • Research in Social Sciences
  • Water Treatment and Disinfection
  • Soil and Water Nutrient Dynamics
  • Multi-Criteria Decision Making
  • Salmonella and Campylobacter epidemiology
  • Energy, Environment, and Transportation Policies

Chalmers University of Technology
2016-2025

Abstract Water pollution presents a substantial environmental challenge with extensive implications for water resources, ecosystem sustainability, and human health. Using South African catchment, this study aimed to provide watershed managers framework selecting best management practices (BMPs) reduce the related risk river users, while also including perspectives of key catchment stakeholders. The encompassed identification consultation stakeholders within catchment. A Multi-Criteria...

10.1038/s41598-024-57739-y article EN cc-by Scientific Reports 2024-03-26

South African rivers generally receive waste from inadequate wastewater infrastructure, mines, and farming activities, among others. The uMsunduzi River in KwaZulu-Natal, Africa, is these recipients with recorded poor to very water quality. To identify parts of the that are polluted by Cryptosporidium Escherichia coli (E. coli), this study mapped out pollutants emanating point non-point sources using Soil Water Assessment Tool (SWAT). Streamflow calibration upper lower reaches catchment...

10.2166/wh.2022.266 article EN cc-by Journal of Water and Health 2022-03-29

Reliable and safe drinking water supply requires adequate risk management. Decision support models can aid decisionmakers to effectively evaluate mitigation measures allocate societal resources. Here, a Swedish case study illustrates how the installation of ultrafiltration membranes be evaluated by combining assessment cost-benefit analysis. Quantitative microbial was used assess several contamination sources estimate achieved reduction from waterborne pathogens using Campylobacter,...

10.3390/w14050782 article EN Water 2022-03-02

Safe water is a global concern, and methods to accurately monitor quality of are vital. To assess the risks related bacterial pathogen load in Lake Vomb that provides drinking southern part Sweden, this study combined molecular analyses enterobacteria pathogens using quantitiative real-time PCR with hydrodynamic modeling quantitative microbial risk assessment (QMRA). A assay detect was set up by primers targeting ssrA. Between February 2015 May 2016, presence ssrA gene copies as well...

10.3390/w12010003 article EN Water 2019-12-18

Abstract Unexpected risk events in drinking water systems, such as heavy rain or manure spill accidents, can cause waterborne outbreaks of gastrointestinal disease. Using a scenario-based approach, these unexpected were included risk-based decision model aimed at evaluating reduction alternatives. The combined quantitative microbial assessment and cost–benefit analysis investigated four Two systems compared using the same set alternatives to illustrate effect events. first system had high...

10.1007/s12403-020-00359-4 article EN cc-by Exposure and Health 2020-05-20

Microbial risk mitigation measures in drinking water systems aiming at preventing gastrointestinal disease can provide substantial societal health benefits if implemented properly. However, the procedure of including and monetising cost–benefit analysis (CBA) has been somewhat scattered inconsistent literature, there is a need for comparison available methods. First, through literature review, we identified methods to include decision support monetise these CBA. Second, applied valuation...

10.1007/s12403-018-00291-8 article EN cc-by Exposure and Health 2018-12-20

<p>Water quality modelling is essential to integrated water resources management and decision-making, as it improves the understanding of spatial temporal dynamics chemical microbial pollution in a river system. Understanding spatio-temporal accurate prediction its hotspots are vital improving surface water. South African rivers generally receive waste from inadequate wastewater infrastructure, mines, farming activities, among others. The uMsunduzi River...

10.5194/egusphere-egu22-2157 preprint EN 2022-03-27
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