• Login
    View Item 
    •   Mak UD Home
    • College of Agricultural and Environmental Sciences (CAES)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collection
    • View Item
    •   Mak UD Home
    • College of Agricultural and Environmental Sciences (CAES)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collection
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Influence of Rainfall Characteristics on Landslide Occurrence In Bududa District, Mount Elgon Region

    Thumbnail
    View/Open
    Undergraduate dissertation (1.578Mb)
    Date
    2022-03
    Author
    Okello, David Stanley Jr
    Metadata
    Show full item record
    Abstract
    The communities of Bududa district recurrently experience landslide events during rainy season. The frequency and intensity of these landslides are increasing over the years because of heavy rainfall occurring over a few days. Daily rainfall data for the periods 1986 to 2018 from CHIRPS portal was obtained and landslide records for the period were obtained from Global Landslide catalog available on https://catalog.data.gov/dataset/global-landslide-catalog-export. With these, the rainfall characteristics were examined in relation to landslides occurrences. To determine the trends in rainfall characteristic, Mann-Kendal trend analysis method was used as well the Coefficient of Variation. Linear regression model was used to generate the rainfall threshold causing Landslide in Bududa district. Results reveal positive linear trends for the period 1986 to 1996 and 2008 to 2018 while negative linear trend was observed in the period of 1997 to 2007. The threshold computation suggested that about 105mm of accumulated rainfall can trigger landslide events in Bududa district. However, there is need for continuous monitoring of the landslides in the area by concerned research institutions and local authorities for validation of the proposed threshold and caution must be taken as the thresholds were defined statistically, using a limited, geographically biased, and certainly incomplete dataset when adopting this work to establish operational landslide warning systems.
    URI
    http://hdl.handle.net/20.500.12281/11434
    Collections
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collection

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of Mak UDCommunities & CollectionsTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy TypeThis CollectionTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV