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...
Saved in:
Main Author: | |
---|---|
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 |