A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining

Flooding occurs but there is no flood hazard. It is only after human encroachment into the floodplain that turn into hazard. The practice of continuous increase of properties development along the floodplain and indiscriminate refuse disposal into water channels have been a major constituting fact...

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Main Authors: Chindo, A.A., Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini
Format: Article
Language:English
Published: 2019
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Online Access:http://repo.uum.edu.my/27038/1/520-Article%20Text-919-3-10-20200130.pdf
http://repo.uum.edu.my/27038/
http://www.testmagzine.biz/index.php/testmagzine/issue/view/6
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spelling my.uum.repo.270382020-06-02T00:44:53Z http://repo.uum.edu.my/27038/ A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining Chindo, A.A. Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini QA76 Computer software Flooding occurs but there is no flood hazard. It is only after human encroachment into the floodplain that turn into hazard. The practice of continuous increase of properties development along the floodplain and indiscriminate refuse disposal into water channels have been a major constituting factors to intensive flooding along the floodplain. This is as a result of decline in the capacity of floodplain to absorbs excess flooding, thus resulting to exposing more urban areas to be vulnerable to flood. Foma-river is located in Ilorin Kwara, Nigeria on latitude N08,49574 and longitude E004,5107. Climate of Ilorin comprises of the dry and wet seasons with the wet season starting around March and lasting for about four to five months. This study intends to propose a conceptual framework to support the prediction of effects of season on magnitude of flood in Foma-river area using data mining approach based on 7 years sampled data from Nigeria Meteorological Agency (NIMET), and questionnaire responses from residents along Foma-river floodplain 2019-12 Article PeerReviewed application/pdf en http://repo.uum.edu.my/27038/1/520-Article%20Text-919-3-10-20200130.pdf Chindo, A.A. and Mohd Shaharanee, Izwan Nizal and Mohd Jamil, Jastini (2019) A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining. TEST Engineering & Management, 81. pp. 3913-3918. ISSN 0193-4120 http://www.testmagzine.biz/index.php/testmagzine/issue/view/6
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Chindo, A.A.
Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
description Flooding occurs but there is no flood hazard. It is only after human encroachment into the floodplain that turn into hazard. The practice of continuous increase of properties development along the floodplain and indiscriminate refuse disposal into water channels have been a major constituting factors to intensive flooding along the floodplain. This is as a result of decline in the capacity of floodplain to absorbs excess flooding, thus resulting to exposing more urban areas to be vulnerable to flood. Foma-river is located in Ilorin Kwara, Nigeria on latitude N08,49574 and longitude E004,5107. Climate of Ilorin comprises of the dry and wet seasons with the wet season starting around March and lasting for about four to five months. This study intends to propose a conceptual framework to support the prediction of effects of season on magnitude of flood in Foma-river area using data mining approach based on 7 years sampled data from Nigeria Meteorological Agency (NIMET), and questionnaire responses from residents along Foma-river floodplain
format Article
author Chindo, A.A.
Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
author_facet Chindo, A.A.
Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
author_sort Chindo, A.A.
title A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
title_short A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
title_full A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
title_fullStr A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
title_full_unstemmed A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
title_sort conceptual framework for predicting the effects of encroachment on magnitude of flood in foma-river area, kwara state, nigeria using data mining
publishDate 2019
url http://repo.uum.edu.my/27038/1/520-Article%20Text-919-3-10-20200130.pdf
http://repo.uum.edu.my/27038/
http://www.testmagzine.biz/index.php/testmagzine/issue/view/6
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