Assessment of Rainwater Harvesting Efficiency in Smallholder Farming Systems

Thesis Abstract

Smallholder farmers in semi-arid regions face persistent water scarcity, adversely affecting crop productivity and livelihood sustainability, thereby emphasizing the urgent need for effective rainwater harvesting (RWH) practices. This study aims to assess the efficiency of rainwater harvesting systems within smallholder farming communities, with specific objectives to evaluate the technical performance of existing RWH structures, identify factors influencing their operational efficiency, and recommend optimization measures to enhance water utilization. Employing a mixed-methods research design, the study integrates quantitative assessments and qualitative insights to provide a comprehensive evaluation. The quantitative component involved a cross-sectional survey of 150 smallholder farmers selected through stratified random sampling across three district hubs characterized by varying agro-ecological conditions. Data collection instruments included structured questionnaires to determine socio-economic parameters, technical performance, and management practices of RWH systems, complemented by physical measurements of water collection and storage efficiency. Qualitative data were gathered through focus group discussions and key informant interviews with extension officers and local leaders to contextualize quantitative findings. The validity and reliability of instruments were established through pre-testing, Cronbach’s alpha (0.82), and triangulation. Data analysis utilized descriptive statistics to outline system characteristics, followed by inferential methods such as multiple regression analysis to identify predictors of RWH efficiency. An ANOVA tested differences across agro-ecological zones, while thematic analysis facilitated interpretation of qualitative data. The study hypothesizes that factors such as system design, maintenance practices, and farmer knowledge significantly influence RWH efficiency. Expected findings include a moderate overall efficiency level of 65%, with significant variability linked to design consistency, catchment area management, and user capacity. The research anticipates revealing that proper system orientation, regular maintenance, and farmer training substantially improve water harvesting success rates. Importantly, the study aims to establish a predictive model illustrating the relationship between operational practices and harvested water volume, thus providing a basis for targeted interventions. This research contributes to existing knowledge by providing empirical data on the actual performance of RWH systems in smallholder contexts, addressing a noted gap in localized efficiency metrics and contextualized best practices. Furthermore, the study’s integration of socio-economic and technical dimensions offers a multidimensional perspective critical for designing sustainable water management strategies. The main conclusion underscores that technical adequacy alone does not guarantee optimal performance unless coupled with farmers’ capacity building and systematic maintenance. The study recommends policies for enhancing farmer training curricula, establishing routine maintenance protocols, and promoting community-based water management frameworks. It also advocates for further longitudinal studies to monitor RWH system performance over multiple seasons, thus informing adaptive management approaches. Overall, the research aims to inform policymakers, extension services, and smallholder farmers on practical, scalable strategies to maximize the benefits of rainwater harvesting—thus contributing to resilient and sustainable smallholder farming systems in water-scarce environments.