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Predicting quality and quantity of water used by urban households based on tap water service

机译:基于自来水服务预测城市家庭使用的水的质量和数量

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Despite significant progress in improving access to safe water globally, inadequate access remains a major public health concern in low- and middle-income countries. We collected data on the bacterial quality of stored drinking water and the quantity of water used domestically from 416 households in Uvira, Democratic Republic of the Congo. An indicator of tap water availability was constructed using invoices from 3685 georeferenced piped water connections. We examined how well this indicator predicts the probability that a household’s stored drinking water is contaminated with Escherichia coli, and the total amount of water used at home daily, accounting for distance from alternative surface water sources. Probability of drinking water contamination is predicted with good discrimination overall, and very good discrimination for poorer households. More than 80% of the households are predicted to store contaminated drinking water in areas closest to the rivers and with the worst tap water service, where river water is also the most likely reported source of drinking water. A model including household composition predicts nearly two-thirds of the variability in the reported quantity of water used daily at home. Households located near surface water and with a poor tap water service indicator are more likely to use water directly at the source. Our results provide valuable information that supports an ongoing large-scale investment in water supply infrastructure in Uvira designed to reduce the high burden of cholera and other diarrhoeal diseases. This approach may be useful in other urban settings with limited water supply access.
机译:尽管在全球进入到全球安全水的进展方面取得了重大进展,但仍然不足,仍然是低收入和中等收入国家的主要公共卫生问题。我们收集了关于储存水的细菌质量的数据以及在刚果民主共和国的Uvira 416家庭中使用的水量使用的水量。使用从3685个地理位置的管道水连接的发票构建自来水可用性的指标。我们检查了这一指标如何预测家庭储存水被大肠杆菌污染的概率,以及每天在家中使用的水总量,占距离替代地表水源的距离。饮用水污染的概率预测,差别差异很好,对贫穷家庭的歧视非常好。超过80%的家庭预计将在最接近河流和最糟糕的自来水服务中储存受污染的饮用水,河水也是最有可能报告的饮用水来源。包括家庭组成的模型预测了在家中每天使用的报告量的近三分之二的变异性。位于地表水附近的家庭和龙头水服务指示器不足,更有可能在源头上使用水。我们的结果提供了有价值的信息,支持Uvira在乌维拉的供水基础设施进行了持续的大规模投资,旨在减少霍乱和其他腹泻疾病的高负担。这种方法可用于其他有限供水通道的城市环境。

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