Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani

In Malaysia, major flood events usually occur during the Northeast and Southeast Monsoon due to continuous heavy rainfall. It is known that the rainfall has a strong correlation with flood occurrences. However, there is no study has been done to correlate the rainfall erosivity and flood occurrences...

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Main Author: Jani, Janmaizatulriah
Format: Thesis
Language:English
Published: 2003
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/27609/
http://ir.uitm.edu.my/id/eprint/27609/1/TM_JANMAIZATULRIAH%20JANI%20EC%2003_5.pdf
id uitm-27609
recordtype eprints
spelling uitm-276092020-02-05T04:53:16Z http://ir.uitm.edu.my/id/eprint/27609/ Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani Jani, Janmaizatulriah Earthwork. Foundations In Malaysia, major flood events usually occur during the Northeast and Southeast Monsoon due to continuous heavy rainfall. It is known that the rainfall has a strong correlation with flood occurrences. However, there is no study has been done to correlate the rainfall erosivity and flood occurrences. Therefore in this research the correlation between rainfall erosivity and flood occurrences will be established . Thus, the idea of this research is to get the erosive properties of rainfall; which are the amount , duration, intensity , energy and the erosivity of the rainfall. In this present study , five rivers , which are Klang, Muda, Pahang, Setiu, and Segamat River were selected. Historical rainfall data for three years (1997-1999) were recorded based on the worst cases of historical flood occurrence among the five rivers. The rainfall data during the flood occurrence were obtained from the Department of Irrigation and Drainage. The method adopted in analysing the rainfall erosivity (RE) and rainfall energy is based on the R factor of the Universal Soil Loss Equation. It is expected that the higher rainfall intensity will lead to the higher rainfall erosivity and major flood occurrence. From the results, it has been found that the maximum of 30 minute s rainfall amount affected some result of the rainfall erosivity . A statistical analysis shows that there is a non-linear relationship between rainfall erosivity and rainfall intensity . Transformation of data was employed and positive linear relationship was established between the log erosivity and log intensity and a new equation was obtained linking rainfall erosivity and intensity which is Log RE = 1.172Log RI + 1.118. This equation , within limits can be used as an indicator to predict future flood occurrence with regards to its intensity and erosivity of rainfall for these five rivers . 2003 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/27609/1/TM_JANMAIZATULRIAH%20JANI%20EC%2003_5.pdf Jani, Janmaizatulriah (2003) Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani. Masters thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Earthwork. Foundations
spellingShingle Earthwork. Foundations
Jani, Janmaizatulriah
Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
description In Malaysia, major flood events usually occur during the Northeast and Southeast Monsoon due to continuous heavy rainfall. It is known that the rainfall has a strong correlation with flood occurrences. However, there is no study has been done to correlate the rainfall erosivity and flood occurrences. Therefore in this research the correlation between rainfall erosivity and flood occurrences will be established . Thus, the idea of this research is to get the erosive properties of rainfall; which are the amount , duration, intensity , energy and the erosivity of the rainfall. In this present study , five rivers , which are Klang, Muda, Pahang, Setiu, and Segamat River were selected. Historical rainfall data for three years (1997-1999) were recorded based on the worst cases of historical flood occurrence among the five rivers. The rainfall data during the flood occurrence were obtained from the Department of Irrigation and Drainage. The method adopted in analysing the rainfall erosivity (RE) and rainfall energy is based on the R factor of the Universal Soil Loss Equation. It is expected that the higher rainfall intensity will lead to the higher rainfall erosivity and major flood occurrence. From the results, it has been found that the maximum of 30 minute s rainfall amount affected some result of the rainfall erosivity . A statistical analysis shows that there is a non-linear relationship between rainfall erosivity and rainfall intensity . Transformation of data was employed and positive linear relationship was established between the log erosivity and log intensity and a new equation was obtained linking rainfall erosivity and intensity which is Log RE = 1.172Log RI + 1.118. This equation , within limits can be used as an indicator to predict future flood occurrence with regards to its intensity and erosivity of rainfall for these five rivers .
format Thesis
author Jani, Janmaizatulriah
author_facet Jani, Janmaizatulriah
author_sort Jani, Janmaizatulriah
title Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
title_short Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
title_full Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
title_fullStr Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
title_full_unstemmed Assessment of rainfall erosivity with regards to flood occurrence / Janmaizatulriah Jani
title_sort assessment of rainfall erosivity with regards to flood occurrence / janmaizatulriah jani
publishDate 2003
url http://ir.uitm.edu.my/id/eprint/27609/
http://ir.uitm.edu.my/id/eprint/27609/1/TM_JANMAIZATULRIAH%20JANI%20EC%2003_5.pdf
first_indexed 2023-09-18T23:18:42Z
last_indexed 2023-09-18T23:18:42Z
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