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Quantifying the impact of the COVID-19 lockdown on household water consumption patterns in England
npj Clean Water ( IF 11.4 ) Pub Date : 2021-02-18 , DOI: 10.1038/s41545-021-00103-8
Halidu Abu-Bakar , Leon Williams , Stephen H. Hallett

The COVID-19 lockdown has instigated significant changes in household behaviours across a variety of categories including water consumption, which in the south and east regions of England is at an all-time high. We analysed water consumption data from 11,528 households over 20 weeks from January 2020, revealing clusters of households with distinctive temporal patterns. We present a data-driven household water consumer segmentation characterising households’ unique consumption patterns and we demonstrate how the understanding of the impact of these patterns of behaviour on network demand during the COVID-19 pandemic lockdown can improve the accuracy of demand forecasting. Our results highlight those groupings with the highest and lowest impact on water demand across the network, revealing a significant quantifiable change in water consumption patterns during the COVID-19 lockdown period. The implications of the study to urban water demand forecasting strategies are discussed, along with proposed future research directions.



中文翻译:

量化COVID-19锁定对英格兰家庭用水模式的影响

COVID-19封锁已在包括水消耗在内的各种类别的家庭行为中引发了重大变化,在英格兰的南部和东部地区,用水量达到了历史最高水平。我们分析了从2020年1月开始的20周内来自11,528户家庭的用水量数据,揭示了具有不同时间格局的家庭集群。我们提出了一个数据驱动的家庭用水者细分,以表征家庭独特的消费模式,并展示了如何理解COVID-19大流行封锁期间这些行为模式对网络需求的影响如何提高需求预测的准确性。我们的结果突出显示了对整个网络的用水需求影响最大和最小的那些分组,揭示了COVID-19锁定期间耗水量模式的重大可量化变化。讨论了该研究对城市用水需求预测策略的意义,并提出了未来的研究方向。

更新日期:2021-02-18
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