MARC details
| 000 -LEADER |
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| fixed length control field |
04296ntm 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 |
20251125110754.0 |
| 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 |
230720t20232023my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0009674 (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) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKA .A36 2023 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Noraini Binti Yussof, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Water footprint of water supply for industrial sector within kuantan river basin / |
| Remainder of title |
Noraini Binti Yussof. |
| 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 |
2023 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 250 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
computer |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
computer disc |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Civil Engineering Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Science) -- Universiti Malaysia Pahang – 2023 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
In Malaysia, industrialization is an economic activity generating national income and currently showing rapid growth. Hence, it can be anticipated that the water demand from industrial activities is increasingly intensified. Since 2016, Kuantan City has been facing water shortage problems due to several circumstances such as economic activities. Thus, it is important for water regulators to manage the water supply efficiently. This study aims to determine and predict the water footprint (WF) of water supply for industrial sectors within the Kuantan River Basin (KRB). All calculations followed the WF Manual and estimated two industrial areas within KRB. Meanwhile, the deep machine learning tool Artificial Neural Network (ANN) was utilized for prediction purposes. The factor influencing the calculation of total WFi can be categorized into environmental, social, and economic factors. The results indicated that from 2015 to 2019, the heavy industry category contributed the highest value of blue water footprint (WFbi), followed by the medium and light industry categories. The highest value of WFbi for the heavy industry was in 2016, with 20.21 million m3, which decreases in 2019 by 17%. This study also shows that the manufacturing activity of all industry categories consumes the most of KRB’s water supply which is responsible for almost 60% of the water consumption in the industrial sector. Regarding the calculated industrial grey water footprint (WFgi), the light industry category depicted the highest value, followed by medium and heavy industries. The trend of WFgi for the light industry category showed an increment from 2015 and reached a peak in 2017 with 1.26 million m3. However, in 2019, the trend decreased by 54% - 62%. Meanwhile, the total industrial water footprint (WFi) was the highest in 2016 at 27.14 million m3. It might be due to the largest volume of water consumption and the greatest number of industries during that particular year. The results also indicated that the heavy industry category contributed the highest value of total WFi, followed by the medium and light industries. In attempting to predict the total WFi trend using ANN, Semambu and Panching industrial areas showed an increment of 33% and 100%, respectively. The predicted value for WFbi falls on average by 30% in Semambu industrial area. It rises to 85% in the Panching industrial area. Meanwhile, the predicted value of WFgi increased on average by 90% for both areas. Thus, it can be concluded that an increasing heavy industry activity contributed to the increasing calculation of current total WFi and the prediction trend. Finally, the environment factor could be defined as the significant factor that influences the total of WFi compared to social and economy factors. In conclusion, this study highlights the significance of WF determination in assisting the state government in managing the water supply appropriation within the river basin as one way to ensure the sustainability of our water resources. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Civil Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |