Assessing the spatial water quality dynamics in Putrajaya Lake: a modelling approach

Abstract

Putrajaya Lake and Wetlands being the centrepiece of Malaysia's administrative city is an important destination for recreation, sports and tourism in the country. The urban water body system with a total surface area of 400 hectares was designed and built so as to encircle the core island creating a complex morphometry. To ensure the water quality remains in its highest-level condition since its beginning, to perform its multi-functional uses, managing the lake catchment is of paramount importance. This paper describes the application of numerical simulation of Putrajaya Lake using coupled three-dimensional hydrodynamic-ecosystem model to assess the spatial dynamics of the lake water quality. The hydrodynamic model simulates the flow pattern under different meteorological forcing variables. The ecosystem model simulates the resulting spatial and diurnal water quality pattern. Wind is the dominant forcing variable driving the flow field. The lake exhibits spatial variation of physico-chemical variables with an overall high-quality of surface water. The model simulation illustrates the impact of potential discharges on the lake water quality, such as spread of pollutants, subsequently provides a useful tool to enhance the management of the lake sustainably under changing environment.

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

“…Therefore, the water quality improvements in the lake are based on the WQI classification status. Public amenities, including toilets in residential areas, were observed to have occasional sewage backflow or overflow in public holidays or during events (Sharip et al 2016 ). It can be seen from Table 1 that the quality of the lake had deteriorated, and it degraded from WQI Class I to Class II.…”

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“…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). As far as the water quality monitoring assessment of freshwater lake is concerned, the Putrajaya Corporations (PjC) has developed the Putrajaya Lake Water Quality Standards (PLWQS) (Sharip et al, 2016). A previous study which aimed to design an algorithm prediction for water quality changes has found that ammonia concentration plays a crucial role in determining the water quality level (Najah et al, 2021).…”

Evolution of primary production and its drivers on the Lebanese coast between 1986 and 2013

“…Models offer a way to synthesize our understanding of the environment, analyse changes in ecosystems, and forecast future changes (Fadel et al 2019;Jickells et al 2015). Hydrodynamicecological models can help us to understand the dynamics and the controlling factors of primary production (Fadel et al 2017;Roy et al 2016;Sharip et al 2016;Vinçon-Leite et al 2017).…”