低资源社区妇女进行可靠的水质监测

IF 4.8 Q1 ENVIRONMENTAL SCIENCES
Reshma Ramesh, Efrat Frank, Aswathi Padmavilochanan, Yuval Barda, Itay Eldar, Hanna Wolf, Asaf Pras, Dana Pousty, Parameswari Anita, Lekha Shekar, J. Sophie von Lieres, Bhavani Rao R, Hadas Mamane* and Ram Fishman, 
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引用次数: 0

摘要

定期监测饮用水水质对于实现可持续发展目标 6 至关重要,但传统方法成本高昂,在资源匮乏的环境中实施具有挑战性。在传感器技术和信息通信工具的帮助下,基于社区的监测提供了一种更有效、更经济的方法,但数据的可靠性并不确定。本研究调查了受过最少培训的非专业农村妇女能否利用综合水质检测包可靠地监测低资源环境中的饮用水水质、家庭水处理和安全储存方法。该试剂盒将移动应用程序与传感器相结合,用于检测化学污染(硬度、pH 值、碱度、氯、溶解性总固体、电导率、溶解氧、氧化还原电位、浊度)和生物污染(大肠杆菌)。AquaGenX P/A 试剂盒用于测量大肠杆菌。我们检查了 27 名农村妇女和我们的研究团队在坦桑尼亚和印度两个邦的 1673 个农村家庭中收集的数据之间的可靠性和一致性。结果显示,非专家和专家之间的一致性和互测可靠性达到了很高的水平,表明这种方法能够提供有价值的水质数据。农村妇女的参与还通过技术提高了能力、责任感和主人翁意识。我们的研究结果表明,在资源有限的情况下,基于社区的举措具有改善水质管理的潜力。这项研究通过赋予农村妇女可持续改善水质的能力,验证了一种基于社区的工具,从而改变了低收入地区的水质监测工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Reliable Water Quality Monitoring by Women in Low-Resource Communities

Reliable Water Quality Monitoring by Women in Low-Resource Communities

Regular monitoring of drinking water quality is crucial for achieving Sustainable Development Goal 6, but conventional methods are costly and challenging to implement in low-resource settings. Community-based monitoring, facilitated by sensor technology and information and communication tools, offers a more efficient and affordable approach, yet data reliability is uncertain. This study investigated whether minimally trained nonexpert rural women could reliably monitor drinking water quality, household water treatment and safe storage practices in low-resource settings using an integrated water quality testing kit. The kit combined a mobile app with sensors for detecting chemical (hardness, pH, alkalinity, chlorine, total dissolved solids, conductivity, dissolved oxygen, oxidation–reduction potential, turbidity) and biological (Escherichia coli) contamination. The AquaGenX P/A kit was used to measured E. coli. We examined the interrater reliability and agreement between data collected by 27 rural women and our research team in 1673 rural households in Tanzania and two Indian states. Results showed robust, moderate to high levels of agreement and interrater reliability between the nonexperts and experts, suggesting the method delivers valuable water quality data. Rural women’s involvement also led to empowerment, accountability, and ownership through technology. Our results indicate community-based initiatives’ potential to improve water quality management in resource-constrained contexts.

Transforming water quality monitoring in low-income areas, the study validates a community-based tool by empowering rural women for sustainable improvements.

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