MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02631nam a22003617a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251125105406.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191016t20182018my a|||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0008229(Local) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FKASA .Z87 2018 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zuriani Halwa Abdullah, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Flood forecasting modelling using artificial neural network (ann) in Chukai Kemaman / |
| Statement of responsibility, etc. |
Zuriani Halwa Abdullah |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMP, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2018 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
© 2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xi, 34 pages : |
| Other physical details |
Illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
computer |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
computer disc |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Civil Engineering and Earth Resources |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Project Paper (Bachelor of Civil Engineering) -- Universiti Malaysia Pahang – 2018 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Flood has a big potential to obliterate away an entire city, area or coastline and can cause substantial damages to life and properties. Flood is the most intense and the only natural disaster happens in Malaysia. Floods occur when the amount of water flowing from a catchment surpass the capacity of its drains, creeks, and rivers. This process begins with rainfall, but is an affected by many other factors. Flood can happen at any time of the year and are caused by heavy rainfall or non-stop rainfall. Hence, flood forecasting is requiring providing better warning for people. Artificial Neural Network (ANN) is used to develop accurate flood forecasting modelling. ANN is chosen to be use because of its simplicity, easy implementation and demonstrated success in forecasting studies, since ANN have been found to be powerful tools for solving different problems in variety of applications. Artificial Neural Network (ANN) also can be used to develop accurate flood forecasting modelling. This study is based on predicting flood event at Chukai, Kemaman, Terengganu. In Terengganu, flood happen due to monsoon rainfall and cause of backwater phenomenon during high tides. The hourly water levels for 20 to 30 years are needed to develop flood forecasting. The hourly water level data can be taken from the Department of Irrigation and Drainage (DID), Malaysia. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Civil Engineering and Earth Resources |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Dissertations |
| General subdivision |
Universities and colleges |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Restricted Collection |