Evaluating indigenous and scientific weather forecasting techniques for resilience to weather events among fishing communities in jinja

dc.contributor.authorKiprop, Julius Kapkwomu
dc.date.accessioned2026-01-07T08:24:30Z
dc.date.available2026-01-07T08:24:30Z
dc.date.issued2025
dc.descriptionDissertationen_US
dc.description.abstractThe aim of the study was to examine how evaluating indigenous and scientific weather forecasting techniques influence resilience to weather events among fishing communities in Jinja. The objectives were to analyse trends of weather events, assess the relative effectiveness of scientific forecasts compared to indigenous forecasts,identify community preparedness, identify response strategies, and determine the impact of integrating forecasts on preparedness. The results, derived from survey responses and meteorological data analysis, show that 92.2% of participants apply indigenous methods using indicators like cloud patterns and wind shifts, while 70.2% rely on scientific sources, mainly radios and Television. Comparative analysis revealed that scientific forecasts recorded 90 Hits (67.5%) for rainfall and 92 Hits (67.6%) for wind, while indigenous forecasts had 47 Hits (34.3%) for rainfall and 44 Hits (32.4%) for wind. Correlation analysis established a 30% positive relationship between scientific forecasts and observed rainfall and wind records. Event trend analysis highlighted strong winds, heavy rainfall, and floods as the most frequent hazards. Using SPI-3, SPI-6 indices, and annual rainfall anomaly records for Jinja (1991– 2023), wet years between 2019–2023 were confirmed. Preparedness strategies identified through survey responses included ensuring seaworthiness of vessels (24.8%), pulling boats ashore (15.8%), and minimizing fishing activity (15.8%). Response strategies emphasized maintaining vessel safety and scaling down fishing, reflecting proactive risk management. Regarding integration, 60.3% of respondents agreed both methods provide reliable forecasts, though scientific forecasts were consistently more effective. Overall, analysis confirms that scientific forecasts surpassed indigenous forecasts in accuracy. The study therefore recommends strengthening stakeholder participation and capacity building in applying scientific forecasts, enhancing dissemination systems, and engaging communities in integrating both approaches for wider acceptance. Further, expanding weather stations across the Lake Victoria basin emerged as critical for improving scientific accuracy, enhancing adoption, and ultimately strengthening fisherfolk safety and reducing vulnerability to extreme weather risks.en_US
dc.description.sponsorshipAssociate Prof. Alice Nakiyemba : Dr. Sowedi Masaba : Busitema Universityen_US
dc.identifier.citationKiprop, J.K. (2025). Evaluating indigenous and scientific weather forecasting techniques for resilience to weather events among fishing communities in Jinja. Busitema University. Unpublished dissertationen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/4673
dc.language.isoenen_US
dc.publisherBusitema Universityen_US
dc.subjectWeather forecastingen_US
dc.titleEvaluating indigenous and scientific weather forecasting techniques for resilience to weather events among fishing communities in jinjaen_US
dc.typeOtheren_US