Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya.

Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya.
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DOI:
10.1038/s41545-023-00247-9
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发表时间:
2023
期刊:
影响因子:
11.4
通讯作者:
--
中科院分区:
工程技术1区
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雨水收集的可靠性,即每年雨水需求得到充分满足的天数比例,很难从作为国际监测基础的跨部门住户调查中估计出来。本研究调查使用的建模方法,将入户调查与网格化降水数据,以评估雨水收集的可靠性,使用两个当地规模的家庭调查农村锡亚亚县,肯尼亚作为一个说明性的案例研究。我们采访了234户家庭,管理一个标准的问卷调查,也确定了家庭储存的饮用水的来源。Logistic混合效应模型估计存储的雨水可用性从家庭和气候变量,随机效应占未观察到的异质性。家庭雨水供应量与季节性、储存能力和获得替代性改良水源的机会显著相关。大多数消耗雨水的家庭(95.1%)面临全年可供饮用的雨水供应不足的问题,大多数家庭在短雨季期间有其他经改善的水源。尽管不显著,但与有多个改善水源的家庭(144.4 ± 63.7天)相比,唯一改善水源为雨水的家庭(301.8 ± 40.2天)储存的雨水持续时间更长。这种建模分析可使雨水收集的可靠性得到估计,从而进行国家/国际监测和有针对性的后续实地工作,以支持雨水收集。
Rainwater harvesting reliability, the proportion of days annually when rainwater demand is fully met, is challenging to estimate from cross-sectional household surveys that underpin international monitoring. This study investigated the use of a modelling approach that integrates household surveys with gridded precipitation data to evaluate rainwater harvesting reliability, using two local-scale household surveys in rural Siaya County, Kenya as an illustrative case study. We interviewed 234 households, administering a standard questionnaire that also identified the source of household stored drinking water. Logistic mixed effects models estimated stored rainwater availability from household and climatological variables, with random effects accounting for unobserved heterogeneity. Household rainwater availability was significantly associated with seasonality, storage capacity, and access to alternative improved water sources. Most households (95.1%) that consumed rainwater faced insufficient supply of rainwater available for potable needs throughout the year, with intermittencies during the short rains for most households with alternative improved sources. Although not significant, stored rainwater lasts longer for households whose only improved water source was rainwater (301.8 ± 40.2 days) compared to those having multiple improved sources (144.4 ± 63.7 days). Such modelling analysis could enable rainwater harvesting reliability estimation, and thereby national/international monitoring and targeted follow-up fieldwork to support rainwater harvesting.
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