Seasonal-Spatial of Putrajaya Lake Water Quality Parameter (WQP) Concentration Using Geographic Information System (GIS)

Abstract

This study presents the assessment of selected water quality parameters (WQP) distribution at Putrajaya Lake during the dry and wet season using spatial analysis. The WQP used in this study were dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), ammonia-nitrogen (NH3-N), total suspended solid (TSS), pH and temperature. Total thirteen water samples were obtained during both dry and wet seasons from May 2015 until March 2016 distributed throughout the areas. To explore the WQP distribution, Inverse Distance Weighted (IDW) was employed. The results have shown that mean values of WQ concentration during dry and wet season are varies accordingly. The highest value parameters of water quality during dry season which are COD (17.2 mg/L), DO (7.11 mg/L) and NH3N (0.94 mg/L). Meanwhile on the wet season, the highest values are recorded for BOD (5.27 mg/L), pH (7.62 mg/L) and TSS (18.4 mg/L) respectively. This has indicated that the concentration of WQP in the lake changed seasonally. Furthermore, among the WQPs; DO, TSS and COD have exhibited significant relationship between others for both seasons.

Lake Water Quality Assessment Through GIS based Interpolation Method: A Case Study of Beris Dam, Kedah, Malaysia

“…Many organic and inorganic pollutants cause eutrophication in lakes and streams, harming the biological system and contributing to the deteriorate of water quality. Such scenario offers significant health risk impact on humans [4]. Analysis of water quality parameters is essential for frequent monitoring and understanding of the environmental condition of water resources [5].…”

Calidad del agua superficial y presiones socioambientales en la microcuenca alta del río Poás

“…El registro de mayores magnitudes de este parámetro para la época lluviosa difiere de lo indicado por otros autores, quienes apuntan valores mayores de este parámetro durante la época seca, debido a la disminución del efecto de dilución de la materia orgánica (Mena-Rivera et al, 2017). Esto sugiere otro escenario para la zona de estudio, el cual puede ligarse al posible aumento en el arrastre y acumulación de carga orgánica que se puede presentar durante la época lluviosa y que puede provenir de las zonas con ocupación urbana con deficientes sistemas de tratamiento de residuos líquidos y en las zonas agrícolas, debido a la carga aportada por los suelos con patrones importantes de alteración y al uso intensivo de fertilizantes (Adegbite et al, 2018;Asmat et al, 2018), ambas características identificadas como presiones socioambientales propias de la zona.…”

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“…These continuous changes in the seasonal and physicochemical parameters have undoubtedly influenced the state of water quality in Putrajaya Lake. Many indications of pollution were found within Putrajaya Lake due to the anthropogenic activities from the inlets or surface run-off points surrounding the lake (Asmat et al, 2018). Monitoring the nutrient removal for water quality improvement has been done at a pilot scale to simulate the essential roles of inhabiting macrophytes within the constructed wetlands (Vymazal, 2007).…”