Geostatistical Exploration of Some Water Quality Clusters in Laguna Lake, Philippines.

This paper underscores the benefits of employing data visualization and geostatistical analyses in monitoring the water quality parameters of Laguna Lake in the Philippines, particularly emphasizing the influence of quarterly seasonality based on the Philippine climate. Preliminary post-COVID-19 lockdown analyses support and extend the literature in highlighting the persistent risks posed by population growth and industrialization of Metro Manila, also known as the National Capital Region, to the ecosystem and economic benefits of the lake. While findings corroborate existing studies, this paper proposes novel avenues for future research, pinpointing locations with elevated water quality parameters and exploring the impact of different seasonal quarters in the Philippines. The findings also offer potential contributions to Sustainable Development Goal 6 and proactive climate change responses. Targeting stakeholders, economic managers, and health officials overseeing Laguna Lake, the study provides a foundation for informed decision-making and anticipatory measures crucial for addressing potential fish population declines, especially during warmer seasons. Contiguity in Metro Manila raises concerns about water quality, necessitating decisive interventions to mitigate long-term human and fish health risks from contaminant accumulation. Integrating the Geographical Information System enhances interpretation by revealing clusters of high or low water quality parameter values, empowering effective resource management. Further, identifying the hot spots of the water quality parameters by seasonal quarter may equip authorities with essential insights for safeguarding the sustainability, economic vitality, and well-being of the dependent populations of the lake on ways forward after the COVID-19 lockdowns were fully lifted. [ABSTRACT FROM AUTHOR]