MARC details
| 000 -LEADER |
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| fixed length control field |
02938ntm a2200373 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125105539.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
200624t20192019my a|||fram|| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0008648(Local) |
| Qualifying information |
hardback |
| 040 ## - CATALOGING SOURCE |
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| 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 .S939 2019 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Muhammad Syazwan Mat Akhir, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Prediction of blue water footprint at Semambu and Panching water treatment plants / |
| Statement of responsibility, etc. |
Muhammad Syazwan Mat Akhir |
| 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 |
2019 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 93 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| Source |
rdamedia |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
computer disc |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Civil Engineering and Earth Resources |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Water stress in the world is becoming more alarming issue due to urbanisation. There are a lot of water related researches to address this issue (Chang, Chang, Huang, & Kao, 2016; Nguyen-ky et al., 2017; Rosecrans, Nolan, & Gronberg, 2017). This study focused on blue water footprint (WFblue) assessment in Semambu and Panching water treatment plants (WTPs). Then, the total WFblue will be modelled and undergo a series of training to predict the trend by using 2 algorithms which is Artificial Neural Network (ANN) and Random Forest (RF). In order to choose the best algorithm, comparison has been made between those two algorithms. The objectives of this research are; (1) to calculate the total WFblue in Semambu & Panching WTPs which are located in Kuantan river basin for the 2015-2017 period; (2) to predict the trend of total blue water footprint Semambu & Panching water treatment plants in Kuantan river basin; and, (3) to compare the best algorithm between ANN and RF in WFblue prediction model. Water intake, rainfall utilization and total evaporation will be taken into account in total WFblue calculation where WFblue can be defined as total water consumption within a product chain. at the end result of this research, the total blue water footprint prediction trend has been produced. The predicted trend of WFblue showed a decrement from 2015 until 2017 after undergoes training in WEKA software. From this research, correct monitoring of water intake amount need to be implemented and it is suggested that all WTPs applies water footprint assessment as an approach to ensure the efficiency of water utilization |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Civil Engineering and Earth Resources |
| General subdivision |
Disertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Disertations |
| 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 |
Final Year Report |