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Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia

Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at Kenyir Lake, Terengganu, using a fuzzy inference...

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Main Authors: Mohd Azlan, Nor Najwa Irina, Abdul Malek, Marlinda, Zolkepli, Maslina, Mohd Salim, Jamilah, Ahmed, Ali Najah
Format: Article
Published: Springer 2021
Online Access:http://psasir.upm.edu.my/id/eprint/95232/
https://link.springer.com/article/10.1007/s11356-020-11908-4
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spelling my.upm.eprints.952322023-04-07T01:35:05Z http://psasir.upm.edu.my/id/eprint/95232/ Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia Mohd Azlan, Nor Najwa Irina Abdul Malek, Marlinda Zolkepli, Maslina Mohd Salim, Jamilah Ahmed, Ali Najah Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at Kenyir Lake, Terengganu, using a fuzzy inference system (FIS). The analysis is widened by comparing FIS with the multiple linear regression (MLR) method. FIS applied as an analysis tool provides good generalization capability for optimum solutions and utilizes human behavior influenced by expert knowledge in water resources management for fuzzy rules specified in the system, whereas MLR can simultaneously adjust and compare several variables as per the needs of the study. The water demand dataset of Kenyir Lake was analyzed using FIS and MLR, resulting in total forecasted water consumptions at Kenyir Lake of 2314.38 m3 and 1358.22 m3, respectively. It is confirmed that both techniques converge close to the actual water consumption of 1249.98 m3. MLR showed the accuracy of the water demand values with smaller forecasted errors to be higher than FIS did. To attain sustainable water demand management, the techniques used can be examined extensively by researchers, educators, and learners by adding more variables, which will provide more anticipated outcomes. Springer 2021-01-06 Article PeerReviewed Mohd Azlan, Nor Najwa Irina and Abdul Malek, Marlinda and Zolkepli, Maslina and Mohd Salim, Jamilah and Ahmed, Ali Najah (2021) Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia. Environmental Science and Pollution Research, 28 (16). pp. 20261-20272. ISSN 0944-1344; ESSN: 1614-7499 https://link.springer.com/article/10.1007/s11356-020-11908-4 10.1007/s11356-020-11908-4
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at Kenyir Lake, Terengganu, using a fuzzy inference system (FIS). The analysis is widened by comparing FIS with the multiple linear regression (MLR) method. FIS applied as an analysis tool provides good generalization capability for optimum solutions and utilizes human behavior influenced by expert knowledge in water resources management for fuzzy rules specified in the system, whereas MLR can simultaneously adjust and compare several variables as per the needs of the study. The water demand dataset of Kenyir Lake was analyzed using FIS and MLR, resulting in total forecasted water consumptions at Kenyir Lake of 2314.38 m3 and 1358.22 m3, respectively. It is confirmed that both techniques converge close to the actual water consumption of 1249.98 m3. MLR showed the accuracy of the water demand values with smaller forecasted errors to be higher than FIS did. To attain sustainable water demand management, the techniques used can be examined extensively by researchers, educators, and learners by adding more variables, which will provide more anticipated outcomes.
format Article
author Mohd Azlan, Nor Najwa Irina
Abdul Malek, Marlinda
Zolkepli, Maslina
Mohd Salim, Jamilah
Ahmed, Ali Najah
spellingShingle Mohd Azlan, Nor Najwa Irina
Abdul Malek, Marlinda
Zolkepli, Maslina
Mohd Salim, Jamilah
Ahmed, Ali Najah
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
author_facet Mohd Azlan, Nor Najwa Irina
Abdul Malek, Marlinda
Zolkepli, Maslina
Mohd Salim, Jamilah
Ahmed, Ali Najah
author_sort Mohd Azlan, Nor Najwa Irina
title Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
title_short Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
title_full Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
title_fullStr Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
title_full_unstemmed Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
title_sort sustainable management of water demand using fuzzy inference system: a case study of kenyir lake, malaysia
publisher Springer
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/95232/
https://link.springer.com/article/10.1007/s11356-020-11908-4
_version_ 1762839464241004544
score 13.211869

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