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Determination of probability distribution for data on rainfalland flood levels in Bangladesh

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Main Authors: Mohammad, Ferdows, Dr., OTA, Masahiro, Roushan, Jahan, MNA, Bhuiyan, Md. Mubarak, Hossain, Prof.
Other Authors: ferdowsmohammad@yahoo.com
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2011
Subjects:
Flood frequency
Rainfall frequency
Probability distribution
Method of moments
Method of maximum likelihood
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13695
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spelling my.unimap-136952011-09-08T15:10:40Z Determination of probability distribution for data on rainfalland flood levels in Bangladesh Mohammad, Ferdows, Dr. OTA, Masahiro Roushan, Jahan MNA, Bhuiyan Md. Mubarak, Hossain, Prof. ferdowsmohammad@yahoo.com Flood frequency Rainfall frequency Probability distribution Method of moments Method of maximum likelihood Link to publisher's homepage at http://www.myiem.org.my/ To evaluate flood (Discharge or water level) as well as rainfall frequency of given returns period, it is essential that one probability distribution function be used as a standard. In many countries one distribution function is used as a standard but in Bangladesh various frequency distribution function are in use. The main objectives of this study are to compare the probability distribution function for the application on flood and rainfall frequency analysis in Bangladesh. To compare it, three widely used distributions have been used namely: (1) Log Normal (Two parameters, LN2 and three parameters, LN3); (2) Extreme value Type-1 (EV1) or Grumbel and (3) Log-person type-3 (LP3) distributions. For this purpose, 5 set data of annual maximum runoff of different main rivers in Bangladesh and 3-days and 5-days rainfall data of Bhola Island (8 sets) have been used. The parameters of the distributions have been estimated by using the method of moments and method of maximum likelihood. 2011-09-08T15:10:40Z 2011-09-08T15:10:40Z 2005-03 Article The Journal of the Institution of Engineers, Malaysia, vol. 66(1), 2005, pages 61-72 0126-513X http://www.myiem.org.my/content/iem_journal_2005-176.aspx http://hdl.handle.net/123456789/13695 en The Institution of Engineers, Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Flood frequency
Rainfall frequency
Probability distribution
Method of moments
Method of maximum likelihood
spellingShingle Flood frequency
Rainfall frequency
Probability distribution
Method of moments
Method of maximum likelihood
Mohammad, Ferdows, Dr.
OTA, Masahiro
Roushan, Jahan
MNA, Bhuiyan
Md. Mubarak, Hossain, Prof.
Determination of probability distribution for data on rainfalland flood levels in Bangladesh
description Link to publisher's homepage at http://www.myiem.org.my/
author2 ferdowsmohammad@yahoo.com
author_facet ferdowsmohammad@yahoo.com
Mohammad, Ferdows, Dr.
OTA, Masahiro
Roushan, Jahan
MNA, Bhuiyan
Md. Mubarak, Hossain, Prof.
format Article
author Mohammad, Ferdows, Dr.
OTA, Masahiro
Roushan, Jahan
MNA, Bhuiyan
Md. Mubarak, Hossain, Prof.
author_sort Mohammad, Ferdows, Dr.
title Determination of probability distribution for data on rainfalland flood levels in Bangladesh
title_short Determination of probability distribution for data on rainfalland flood levels in Bangladesh
title_full Determination of probability distribution for data on rainfalland flood levels in Bangladesh
title_fullStr Determination of probability distribution for data on rainfalland flood levels in Bangladesh
title_full_unstemmed Determination of probability distribution for data on rainfalland flood levels in Bangladesh
title_sort determination of probability distribution for data on rainfalland flood levels in bangladesh
publisher The Institution of Engineers, Malaysia
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13695
_version_ 1643790901652226048
score 13.211869

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