Quantitative health risk assessment of microbial hazards from water sources for community and self-supply drinking water systems
2023
Yan, Cheng | Wan, Wei-di | Wang, Rui-ning | Lai, Tian-nuo | Ali, Wajid | He, Shan-shan | Liu, Sai | Nasir, Zaheer A. | Coulon, Frederic
In low and medium income countries (LMIC) drinking water sources (wells and boreholes) often contain a high number of pathogenic microorganisms, that can pose significant human and environmental health risks. In this study, a quantitative microbial risk assessment approach based on existing literature was conducted to evaluate and compare the quantitative health risks associated with different age groups using various drinking water supply systems. Results showed that both community-supply and self-supply modes exhibit similar levels of risk. However, the self-supply water source consistently showed higher risks compared to the community-supply one. Borehole water was found to be a more suitable option than well water, consistently showing between 5 and 8 lower health risks for E. coli and fecal coliform levels, respectively. The sensitivity analysis further showed the importance of prioritizing the reduction of E. coli concentration in well water and fecal coliform concentration in borehole water. This study offers a fresh perception on quantifying the impact of exposure concentration and age groups, shedding light on how they affect environmental health risks. These findings provide valuable insights for stakeholders involved in the management and protection of water sources.
Afficher plus [+] Moins [-]This work was supported by the National Natural Science Foundation of China [grant number 51608497]; the Environmental Microbiology and Human Health Programme [grant number NE/M010961/1]; and the SPF Clean Air Programme Grant [grant number NE/V002171/1] in facilitating this collaborative study.
Afficher plus [+] Moins [-]Journal of Hazardous Materials
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Cranfield University
Découvrez la collection de ce fournisseur de données dans AGRIS