Variations of water quality in the monitoring network of a tropical river
Rapid development and population growth have resulted in an ever-increasing level of water pollution in Malaysia. Therefore, this study was conducted to assess water quality of Selangor River in Malaysia. The data collected under the river water quality monitoring program by the Department of enviro...
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GJESM Publisher
2020-01-01
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| Series: | Global Journal of Environmental Science and Management |
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| Online Access: | https://www.gjesm.net/article_37130_0a703b495953aec4d970721d2685c2d3.pdf |
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| author | M. Camara N.R.B. Jamil F.B. Abdullah |
| author_facet | M. Camara N.R.B. Jamil F.B. Abdullah |
| author_sort | M. Camara |
| collection | DOAJ |
| description | Rapid development and population growth have resulted in an ever-increasing level of water pollution in Malaysia. Therefore, this study was conducted to assess water quality of Selangor River in Malaysia. The data collected under the river water quality monitoring program by the Department of environment from 2005 to 2015 were used for statistical analyses. The local water quality indices were computed and a trend detection technique and cluster analysis were applied, respectively, to detect changes and spatial disparity in water quality trends. The results showed that the river water is of good quality at all stations, with the exception of 1SR01 and 1SR09 located upstream, which recorded moderate water quality indices of 68 and 71, respectively. The results of trend analysis showed downward trends in dissolved oxygen, biochemical oxygen demand and ammonia nitrogen, for most water quality stations, as well as increasing trends in chemical oxygen, suspended solids, pH and temperature for most stations. In addition, the results of cluster and time series analyses showed that the trend variation in dissolved oxygen, pH, and temperature between the station clusters is relatively low as compared to chemical oxygen demand, biochemical oxygen demand, suspended solids, and ammonia nitrogen. With the peak concentration of 13 mg/L for dissolved oxygen observed in cluster 2 in 2014, and the highest decrease in suspended solids (8 mg/L) observed in cluster 1 for 2015. This finding demonstrates that these combined statistical analyses can be a useful approach for assessing water quality for adequate management of water resources. |
| format | Article |
| id | doaj-art-9b6f8e80288b430eb5dae62f1509d39c |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-9b6f8e80288b430eb5dae62f1509d39c2025-02-02T03:08:46ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662020-01-0161859610.22034/GJESM.2020.01.0737130Variations of water quality in the monitoring network of a tropical riverM. Camara0N.R.B. Jamil1F.B. Abdullah2Faculty of Environmental Studies, Universiti Putra Malaysia, 43400 Serdang, Selangor, MalaysiaFaculty of Environmental Studies, Universiti Putra Malaysia, 43400 Serdang, Selangor, MalaysiaDepartment of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor DE, MalaysiaRapid development and population growth have resulted in an ever-increasing level of water pollution in Malaysia. Therefore, this study was conducted to assess water quality of Selangor River in Malaysia. The data collected under the river water quality monitoring program by the Department of environment from 2005 to 2015 were used for statistical analyses. The local water quality indices were computed and a trend detection technique and cluster analysis were applied, respectively, to detect changes and spatial disparity in water quality trends. The results showed that the river water is of good quality at all stations, with the exception of 1SR01 and 1SR09 located upstream, which recorded moderate water quality indices of 68 and 71, respectively. The results of trend analysis showed downward trends in dissolved oxygen, biochemical oxygen demand and ammonia nitrogen, for most water quality stations, as well as increasing trends in chemical oxygen, suspended solids, pH and temperature for most stations. In addition, the results of cluster and time series analyses showed that the trend variation in dissolved oxygen, pH, and temperature between the station clusters is relatively low as compared to chemical oxygen demand, biochemical oxygen demand, suspended solids, and ammonia nitrogen. With the peak concentration of 13 mg/L for dissolved oxygen observed in cluster 2 in 2014, and the highest decrease in suspended solids (8 mg/L) observed in cluster 1 for 2015. This finding demonstrates that these combined statistical analyses can be a useful approach for assessing water quality for adequate management of water resources.https://www.gjesm.net/article_37130_0a703b495953aec4d970721d2685c2d3.pdfmonitoring networkselangor riverstatistical analysistrend detectionwater quality |
| spellingShingle | M. Camara N.R.B. Jamil F.B. Abdullah Variations of water quality in the monitoring network of a tropical river Global Journal of Environmental Science and Management monitoring network selangor river statistical analysis trend detection water quality |
| title | Variations of water quality in the monitoring network of a tropical river |
| title_full | Variations of water quality in the monitoring network of a tropical river |
| title_fullStr | Variations of water quality in the monitoring network of a tropical river |
| title_full_unstemmed | Variations of water quality in the monitoring network of a tropical river |
| title_short | Variations of water quality in the monitoring network of a tropical river |
| title_sort | variations of water quality in the monitoring network of a tropical river |
| topic | monitoring network selangor river statistical analysis trend detection water quality |
| url | https://www.gjesm.net/article_37130_0a703b495953aec4d970721d2685c2d3.pdf |
| work_keys_str_mv | AT mcamara variationsofwaterqualityinthemonitoringnetworkofatropicalriver AT nrbjamil variationsofwaterqualityinthemonitoringnetworkofatropicalriver AT fbabdullah variationsofwaterqualityinthemonitoringnetworkofatropicalriver |