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dc.contributor.authorNgigi, Roselyn Gathoni
dc.contributor.authorKoske, James Kibii
dc.contributor.authorGichuki, Cecilia
dc.date.accessioned2023-05-25T09:58:30Z
dc.date.available2023-05-25T09:58:30Z
dc.date.issued2023
dc.identifier.citationNgigi, R., Koske, J., & Gichuki, C. (2023). Overtime Modelled Climate Variability Effect in Roysambu Sub-County in Nairobi Kenya: A Retrospective Analysis. African Journal of Climate Change and Resource Sustainability, 2(1), 42-50. https://doi.org/10.37284/ajccrs.2.1.1169en_US
dc.identifier.otherDOI: https://doi.org/10.37284/ajccrs.2.1.1169
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/25425
dc.descriptionArticleen_US
dc.description.abstractThe effect of climate variability is unprecedented, affecting an array of ecosystems globally. Intensified effects of rainfall and temperature variations are affecting urbanised ecosystems where urban sprawl has ramified. This study looks at modelled retrospective climate variability changes in the Roysambu area, an urbanised suburb in Nairobi County, Kenya. The study aimed to ascertain the changes in rainfall and temperature in the past 30 years. From the simple regression analysis, the total annual average rainfall has slightly increased in the area (y = 0.5235x + 72.037, R2 = 0.0618). There were changes in temperature where the maximum average temperature had increased by 0.5 °C with a simple regression model (y = 0.012x + 0.6281, R2 = 0.0814). From the findings, climate variability has been experienced in the area through simple regression model retrospective analysis over time.en_US
dc.language.isoenen_US
dc.publisherEANSOen_US
dc.subjectClimate Variabilityen_US
dc.subjectRainfallen_US
dc.subjectTemperatureen_US
dc.subjectRetrospective analysisen_US
dc.subjectSimple Regressionen_US
dc.titleOvertime Modelled Climate Variability Effect in Roysambu Sub-County in Nairobi Kenya: a Retrospective Analysisen_US
dc.typeArticleen_US


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