The construction of mathematical time functions for storm events

The main objective of applying statistics in rainfall analysis deals with interpreting a past record of rainfall events, the derivation of information from these observed past hydrologic phenomena and making inferences for the future purpose. Rainfall cannot be predicted with certainty. Therefore st...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd Arish @Arshad, Nur Aini
Format: Thesis
Language:English
English
English
Published: 2003
Subjects:
Online Access:http://eprints.uthm.edu.my/8169/1/24p%20NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD.pdf
http://eprints.uthm.edu.my/8169/2/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/8169/3/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20WATERMARK.pdf
http://eprints.uthm.edu.my/8169/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uthm.eprints.8169
record_format eprints
spelling my.uthm.eprints.81692023-02-07T03:26:07Z http://eprints.uthm.edu.my/8169/ The construction of mathematical time functions for storm events Mohd Arish @Arshad, Nur Aini QC Physics QC851-999 Meteorology. Climatology. Including the earth's atmosphere The main objective of applying statistics in rainfall analysis deals with interpreting a past record of rainfall events, the derivation of information from these observed past hydrologic phenomena and making inferences for the future purpose. Rainfall cannot be predicted with certainty. Therefore statistical analysis is important so that the information received is more easily to understand.The objective of this study is to construct the structure of the time functions of storm between storm and time functions of storm between peaks for Wilayah Persekutuan Kuala Lumpur. From this result, we can simulate or generate the information of time between storms and time between storm peaks. The data for this study was obtained from Department of Irrigation and Drainage of Wilayah Persekutuan Kuala Lumpur. The study area involved 13 stations. Rainfall data is from the year 2000 till 2001. Analysis was done using regression analysis. The data showed that all of them are nonlinear. Two models were used, the exponential model and logarithm model. Most of the results showed that logarithm model performed better result compared to exponential model. All analysis was done using Microsoft Excel. 2003-10 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8169/1/24p%20NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD.pdf text en http://eprints.uthm.edu.my/8169/2/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/8169/3/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20WATERMARK.pdf Mohd Arish @Arshad, Nur Aini (2003) The construction of mathematical time functions for storm events. Masters thesis, Kolej Universiti Teknologi Tun Hussein Onn.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic QC Physics
QC851-999 Meteorology. Climatology. Including the earth's atmosphere
spellingShingle QC Physics
QC851-999 Meteorology. Climatology. Including the earth's atmosphere
Mohd Arish @Arshad, Nur Aini
The construction of mathematical time functions for storm events
description The main objective of applying statistics in rainfall analysis deals with interpreting a past record of rainfall events, the derivation of information from these observed past hydrologic phenomena and making inferences for the future purpose. Rainfall cannot be predicted with certainty. Therefore statistical analysis is important so that the information received is more easily to understand.The objective of this study is to construct the structure of the time functions of storm between storm and time functions of storm between peaks for Wilayah Persekutuan Kuala Lumpur. From this result, we can simulate or generate the information of time between storms and time between storm peaks. The data for this study was obtained from Department of Irrigation and Drainage of Wilayah Persekutuan Kuala Lumpur. The study area involved 13 stations. Rainfall data is from the year 2000 till 2001. Analysis was done using regression analysis. The data showed that all of them are nonlinear. Two models were used, the exponential model and logarithm model. Most of the results showed that logarithm model performed better result compared to exponential model. All analysis was done using Microsoft Excel.
format Thesis
author Mohd Arish @Arshad, Nur Aini
author_facet Mohd Arish @Arshad, Nur Aini
author_sort Mohd Arish @Arshad, Nur Aini
title The construction of mathematical time functions for storm events
title_short The construction of mathematical time functions for storm events
title_full The construction of mathematical time functions for storm events
title_fullStr The construction of mathematical time functions for storm events
title_full_unstemmed The construction of mathematical time functions for storm events
title_sort construction of mathematical time functions for storm events
publishDate 2003
url http://eprints.uthm.edu.my/8169/1/24p%20NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD.pdf
http://eprints.uthm.edu.my/8169/2/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/8169/3/NUR%20AINI%20MOHD%20ARISH%20%40ARSHAD%20WATERMARK.pdf
http://eprints.uthm.edu.my/8169/
_version_ 1758580250754678784
score 13.209306