Risk assessment of Cryptosporidium intake in drinking water treatment plant by a combination of predictive models and event-tree and fault-tree techniques-Reference-Cited by-同舟云学术

Risk assessment of Cryptosporidium intake in drinking water treatment plant by a combination of predictive models and event-tree and fault-tree techniques

Published:2022-09 Issue: Volume:838 Page:156500
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Doménech E.,Martorell S.,Kombo-Mpindou G.O.M.,Macián-Cervera J.,Escuder-Bueno I.

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference70 articles.

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3. The effects of climate variability and seasonal influence on diarrhoeal disease in the tropical city-state of Singapore – a time-series analysis;Aik;Int. J. Hyg. Environ. Health,2020

4. Turbidity as a surrogate for Cryptosporidium removal by filtration in drinking-water QMRA models;Bastos;Water Sci. Technol. Water Supply,2013

5. Drinking water treatment processes for removal of Cryptosporidium and Giardia;Betancourt;Vet. Parasitol.,2004

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