Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining
Due to water pollution, the water quality in Sungai Langat Basin is declining. This study was conducted in this regard to identify the sources of pollution and to analyse the relationship between sources of pollution and water quality parameters. The Malaysian Department of Environment (DOE) has p...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
|
| Online Access: | http://journalarticle.ukm.my/15932/1/2.pdf http://journalarticle.ukm.my/15932/ http://www.ukm.my/jsm/malay_journals/jilid49bil10_2020/KandunganJilid49Bil10_2020.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1834432780899975168 |
|---|---|
| author | Nurizah Abdul Hasib, Zalinda Othman, |
| author_facet | Nurizah Abdul Hasib, Zalinda Othman, |
| author_sort | Nurizah Abdul Hasib, |
| building | Tun Sri Lanang Library |
| collection | Institutional Repository |
| content_provider | Universiti Kebangsaan Malaysia |
| content_source | UKM Journal Article Repository |
| continent | Asia |
| country | Malaysia |
| description | Due to water pollution, the water quality in Sungai Langat Basin is declining. This study was conducted in this regard
to identify the sources of pollution and to analyse the relationship between sources of pollution and water quality
parameters. The Malaysian Department of Environment (DOE) has provided data on pollution sources and water
quality. Both data are combined and pre-processed through association rule mining for further modelling processes.
Apriori algorithm was used to generate rules in finding any relationships between sources of pollution and water
quality parameters. Water quality experts had analysed and validated the generated rules. The analysis of expert
acceptance showed that 65% of the formulated rules were agreed by the experts while 35% of the rules were disagreed.
Furthermore, the findings showed that all experts agreed that there was a relation between NH3
-N values ranging
from 0.9 to 2.7 and the sewage as a source of pollution. Besides, as agreed by all experts, either effluent, sewage or
livestock is the pollution source of Sungai Langat. |
| format | Article |
| id | my-ukm.journal.15932 |
| institution | Universiti Kebangsaan Malaysia |
| language | en |
| publishDate | 2020 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | eprints |
| spelling | my-ukm.journal.159322020-12-10T20:49:54Z http://journalarticle.ukm.my/15932/ Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining Nurizah Abdul Hasib, Zalinda Othman, Due to water pollution, the water quality in Sungai Langat Basin is declining. This study was conducted in this regard to identify the sources of pollution and to analyse the relationship between sources of pollution and water quality parameters. The Malaysian Department of Environment (DOE) has provided data on pollution sources and water quality. Both data are combined and pre-processed through association rule mining for further modelling processes. Apriori algorithm was used to generate rules in finding any relationships between sources of pollution and water quality parameters. Water quality experts had analysed and validated the generated rules. The analysis of expert acceptance showed that 65% of the formulated rules were agreed by the experts while 35% of the rules were disagreed. Furthermore, the findings showed that all experts agreed that there was a relation between NH3 -N values ranging from 0.9 to 2.7 and the sewage as a source of pollution. Besides, as agreed by all experts, either effluent, sewage or livestock is the pollution source of Sungai Langat. Penerbit Universiti Kebangsaan Malaysia 2020-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15932/1/2.pdf Nurizah Abdul Hasib, and Zalinda Othman, (2020) Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining. Sains Malaysiana, 49 (10). pp. 2345-2358. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid49bil10_2020/KandunganJilid49Bil10_2020.html |
| spellingShingle | Nurizah Abdul Hasib, Zalinda Othman, Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title | Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title_full | Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title_fullStr | Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title_full_unstemmed | Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title_short | Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining |
| title_sort | assessing the relationship between pollution sources and water quality parameters of sungai langat basin using association rule mining |
| url | http://journalarticle.ukm.my/15932/1/2.pdf http://journalarticle.ukm.my/15932/ http://www.ukm.my/jsm/malay_journals/jilid49bil10_2020/KandunganJilid49Bil10_2020.html |
| url_provider | http://journalarticle.ukm.my/ |