4.8 Article

Modeling Exposure to Fecal Contamination in Drinking Water due to Multiple Water Source Use

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 6, 页码 3419-3429

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05683

关键词

multiple water source use; supplemental unimproved source use; fecal contamination; Monte Carlo simulations; drinking water quality; low- and middle-income countries

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The Joint Monitoring Programme estimated that 71% of people globally had access to safely managed drinking water in 2017. However, typical data collection practices do not capture the use of multiple water sources, which is common in low- and middle-income countries. This study simulated the exposure to fecal contamination when individuals supplement improved water with unimproved water and found that even supplementing for just 2 days annually can lead to a significant increase in E. coli exposure. These findings emphasize the importance of evaluating water quality and the temporal dynamics of water sources in LMICs for global monitoring of safe drinking water access.
The Joint Monitoring Programme estimated that 71% of people globally had access to safely managed drinking water in 2017. However, typical data collection practices focus only on a household's primary water source, yet some households in low- and middle-income countries (LMICs) engage in multiple water source use, including supplementing improved water supplies with unimproved water throughout the year. Monte Carlo simulations and previously published data were used to simulate exposure to fecal contamination (as measured by E. coli) along a range of supplemental unimproved source use rates (e.g., 0-100% improved water use, with the remainder made up with unimproved water). The model results revealed a statistically significant increase in annual exposure to E. coli when individuals supplement their improved water with unimproved water just 2 days annually. Additionally, our analysis identified scenarios-realistic for the data set study setting-where supplementing with unimproved water counterintuitively decreases exposure to E. coli. These results highlight the need for evaluating the temporal dynamics in water quality and availability of drinking water sources in LMICs as well as capturing the use of multiple water sources for monitoring global access to safe drinking water.

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