Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon

Detalhes bibliográficos
Autor(a) principal: Afungang,Roland
Data de Publicação: 2016
Outros Autores: Bateira,Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002
Resumo: The Bamenda mountain region has one of the highest frequencies of landslides in Cameroon and the lowlands are prone to floods. The occurrence of these hazards is attributed to the estimated 2500 mm of rainfall that the area receives annually. The aim of this paper was to estimate the maximum rainfall the area is likely to receive in future and to examine some past extreme rainfall episodes that triggered landslides and floods and their return periods. The type I extreme value (Gumble) distribution was used to make these estimates through an Excel worksheet. From the model, it was predicted that the area could receive a maximum rainfall of about 87.7mm/day in 3 years, 116.97mm/day in 25 years, 126.13mm/day in 50 years and 135.23/day in 100 year. Seven extreme rainfall episodes were identified within the 43 year study period with rainfall amounts ranging from 99.5mm/day to 129.3mm/day. The extreme rainfall episodes initiated both landslide and floods and with return periods ranging between 7.3 years to 68.9 years. Predicting these extreme cases can be useful in the construction of dams and bridges and further research on rainfall thresholds for rainfall-induced hazards affecting the region.
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spelling Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW CameroonExtreme rainfallreturn periodslandslidesfloodsNW CameroonThe Bamenda mountain region has one of the highest frequencies of landslides in Cameroon and the lowlands are prone to floods. The occurrence of these hazards is attributed to the estimated 2500 mm of rainfall that the area receives annually. The aim of this paper was to estimate the maximum rainfall the area is likely to receive in future and to examine some past extreme rainfall episodes that triggered landslides and floods and their return periods. The type I extreme value (Gumble) distribution was used to make these estimates through an Excel worksheet. From the model, it was predicted that the area could receive a maximum rainfall of about 87.7mm/day in 3 years, 116.97mm/day in 25 years, 126.13mm/day in 50 years and 135.23/day in 100 year. Seven extreme rainfall episodes were identified within the 43 year study period with rainfall amounts ranging from 99.5mm/day to 129.3mm/day. The extreme rainfall episodes initiated both landslide and floods and with return periods ranging between 7.3 years to 68.9 years. Predicting these extreme cases can be useful in the construction of dams and bridges and further research on rainfall thresholds for rainfall-induced hazards affecting the region.Universidade do Porto - Faculdade de Letras2016-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002GOT, Revista de Geografia e Ordenamento do Território n.9 2016reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002Afungang,RolandBateira,Carlosinfo:eu-repo/semantics/openAccess2024-02-06T17:25:57Zoai:scielo:S2182-12672016000100002Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:31:14.846372Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
title Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
spellingShingle Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
Afungang,Roland
Extreme rainfall
return periods
landslides
floods
NW Cameroon
title_short Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
title_full Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
title_fullStr Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
title_full_unstemmed Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
title_sort Statistical modelling of extreme rainfall, return periods and associated hazards in the Bamenda Mountain, NW Cameroon
author Afungang,Roland
author_facet Afungang,Roland
Bateira,Carlos
author_role author
author2 Bateira,Carlos
author2_role author
dc.contributor.author.fl_str_mv Afungang,Roland
Bateira,Carlos
dc.subject.por.fl_str_mv Extreme rainfall
return periods
landslides
floods
NW Cameroon
topic Extreme rainfall
return periods
landslides
floods
NW Cameroon
description The Bamenda mountain region has one of the highest frequencies of landslides in Cameroon and the lowlands are prone to floods. The occurrence of these hazards is attributed to the estimated 2500 mm of rainfall that the area receives annually. The aim of this paper was to estimate the maximum rainfall the area is likely to receive in future and to examine some past extreme rainfall episodes that triggered landslides and floods and their return periods. The type I extreme value (Gumble) distribution was used to make these estimates through an Excel worksheet. From the model, it was predicted that the area could receive a maximum rainfall of about 87.7mm/day in 3 years, 116.97mm/day in 25 years, 126.13mm/day in 50 years and 135.23/day in 100 year. Seven extreme rainfall episodes were identified within the 43 year study period with rainfall amounts ranging from 99.5mm/day to 129.3mm/day. The extreme rainfall episodes initiated both landslide and floods and with return periods ranging between 7.3 years to 68.9 years. Predicting these extreme cases can be useful in the construction of dams and bridges and further research on rainfall thresholds for rainfall-induced hazards affecting the region.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672016000100002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade do Porto - Faculdade de Letras
publisher.none.fl_str_mv Universidade do Porto - Faculdade de Letras
dc.source.none.fl_str_mv GOT, Revista de Geografia e Ordenamento do Território n.9 2016
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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