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Modelling the influence of short-term climate variability on drinking water quality in tropical developing countries: A case study in Tanzania

机译:塑造短期气候变化对热带发展中国家饮用水质量影响的影响 - 以坦桑尼亚为例

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Climate change is expected to increase the prevalence of water-borne diseases especially in developing countries. Climate-resilient drinking water supplies are critical to protect communities from faecal contamination and thus against increasing disease risks. However, no quantitative assessment exists for the impacts of short-term climate variability on faecal contamination at different drinking water sources in developing countries, while existing understanding remains largely conceptual. This critical gap limits the ability to predict drinking water quality under climate change or to recommend climate-resilient water sources for vulnerable communities. This study aims to provide such quantitative understanding by investigating the relationships between faecal contamination and short-term climate variability across different types of water sources. We collected a novel dataset with over 20 months' monitoring of weather, Escherichia coli (E. coli) and total coliforms, at 233 different water sources in three climatically different regions in Tanzania. We then took a rigorous statistical analysis with Bayesian hierarchical models, to relate both contamination occurrence and amount to climate variability. The model results explained the temporal variability in drinking water faecal contamination using climate predictors, and also revealed the climate sensitivity of faecal contamination for individual water sources. We found that: a) short-term climate variability and baseline contamination levels can explain about half the observed variability in faecal contamination (R~2 ≥ 0.44); b) increased contamination was most consistently related to recent heavy rainfall and high temperature across different water sources; c) unimproved water sources such as the unprotected dug wells have substantially higher climate sensitivity. Based on these results, we can expert substantial increases in drinking water contamination risks across tropical Sub-Saharan Africa and South-East Asian developing countries under a warmer climate, which highlight the urgent need of protecting vulnerable communities from the severe climate impacts.
机译:预计气候变化将增加特别是在发展中国家的水性疾病的患病率。气氛弹性饮用水供应对于保护粪便污染的社区至关重要,从而反对增加疾病风险。然而,对于发展中国家不同饮用水来源对粪便污染的短期气候变化的影响没有数量评估存在,而现有的理解仍然很大程度上是概念性的。这种关键差距限制了在气候变化下预测饮用水质量的能力,或推荐弱势社区的气候弹性水源。本研究旨在通过调查不同类型的水源的粪便污染和短期气候变异性之间的关系来提供这种定量理解。我们在坦桑尼亚的三个基本不同地区的233个不同的水源,在233种不同的水源中收集了20多个月的天气监测的新型数据集。然后,我们与贝叶斯等级模型进行了严格的统计分析,以将污染事件与气候变异性相关。模型结果解释了利用气候预测因子饮用水粪便污染的时间变异,并揭示了个体水源粪便污染的气候敏感性。我们发现:a)短期气候变异性和基线污染水平可以解释粪便污染的观察变异的一半(R〜2≥0.44); b)污染的增加与近期不同水源的近期大雨和高温有关; c)未经改善的水源,例如未受保护的挖掘井具有基本上更高的气候敏感性。根据这些结果,我们可以在热带撒哈拉以南非洲和东南亚发展中国家的饮用水污染风险下,在温暖的气氛下,专家大幅增加,这突出了迫切需要保护脆弱的社区免受严重的气候影响。

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