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

ABSTRACT: 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

SUBMITTER: Yu W 

PROVIDER: S-EPMC10099009 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature