Variations of water quality in the monitoring network of a tropical river. Global Journal of Environmental Science and Management (GJESM), 6 (1). pp. 85-96. ISSN 2383-3866 (2020)
Abstract
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 (8mg/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.
| Item Type: | Article |
|---|---|
| Keywords: | Water quality, Trend detection, Statistical analysis, Selangor River, Monitoring network, Water pollution |
| Taxonomy: | By Subject > Applied Sciences > Biology By Subject > Applied Sciences > Environmental Technology |
| Local Content Hub: | Subjects > Applied Sciences |
| Depositing User: | Mohd Fadhli Samsudin |
| Date Deposited: | 09 Apr 2021 07:55 |
| Last Modified: | 09 Apr 2021 07:55 |
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