Water quality modelling and quantitative microbial risk assessment for uMsunduzi River in South Africa
Journal article, 2022
Cryptosporidium
water quality modelling
QMRA
SWAT
uMsunduzi River
Escherichia coli (E. coli)
Author
Zesizwe Ngubane
Durban University of Technology
Viktor Bergion
Geologi
Bloodless Dzwairo
Durban University of Technology
Karin Troell
Swedish National Veterinary Institute
Uppsala University
Isaac Dennis Amoah
Durban University of Technology
Thor Axel Stenstrom
Durban University of Technology
Ekaterina Sokolova
Uppsala University
Chalmers, Architecture and Civil Engineering, Water Environment Technology
Journal of Water and Health
1477-8920 (ISSN) 19967829 (eISSN)
Vol. 20 4 641-656Cryptosporidium and Giardia: Water quality modelling, microbial source tracking and risk assessment
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (SA2015-6274), 2016-03-01 -- 2019-08-31.
Modelling climate change impacts on microbial risks for a safe and sustainable dirnking water system
Formas (2017-01413), 2018-01-01 -- 2020-12-31.
Subject Categories
Water Engineering
Oceanography, Hydrology, Water Resources
Environmental Sciences
DOI
10.2166/wh.2022.266
PubMed
35482381