Trends of Water Quality Data at Perlis River Biology essay




In this study, thirty physicochemical variables on the water quality of the Perlis River Basin were collected by the Ministry of. The objectives of the study are to establish the pollutant profile along Sungai Perlis during high tide and low tide based on physical and chemical parameters and correlate, The present work is the first study using long-term data 2004-2020, locations of water quality variables in the rivers Satluj and Beas, the two most important, water quality analysis through PCA and CA, water quality index WQI, chemical health through nutrient pollution index NPI, physical environment, health QHEI, biological, The application of multivariate statistical techniques including cluster analysis and principal component analysis - multiple linear regression PCA-MLR was successfully used to classify the level of river pollution in, Set up along the Kuala Perlis River, the water quality index was found to be. 30, 61,87. 64, respectively. This finding shows decreasing trends in the WQI values ​​indicating an increase in the problems: water and rivers in Malaysia. Malaysia is enriched with an abundance of natural resources and one of them is its rivers, also known as surface H2O. River or surface H2O is a cherished and crucial natural resource for all life on Earth, especially humans, because it provides the H2O supply for human domestic use and irrigation. In this study, water quality status and spatial and temporal trends along the Drina were assessed through the application of seven WQI parameters to an eight-year public database of. Lagi, Perlis, Malaysia. Email: ainnihla unimap.edu.my. Abstract. The aim of the study is to determine the pollutant profile along Sungai Perlis during. high and low tide based on. As the basin served. people with drinking water. The results of this study are discussed in relation to the health status of the uMngeni River and its suitability for drinking water treatment production. Time series and box plots of water quality variables monitored at six stations over an eight-year period





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