Modeling of Groundwater Potentiality in Barangay Lampianao, Calinan District, Davao City Using Random Forest Algorithm
Abstract
Water is undeniably essential for all life forms and ecosystems on Earth. It serves as a fundamental element that sustains life, shapes landscapes, and supports various ecological processes. However, the escalating global population has intensified concerns about water scarcity. To address this concern, groundwater has been extensively utilized to suffice the available surface water to meet the world's growing water demand. The continuous extensive extraction of freshwater resources from groundwater inhibits groundwater recharge. Mismanagement of groundwater resources will inevitably make freshwater accessibility uncertain in the future. The study aims to create a reliable predictive model utilizing the Standard Random Forest Algorithm to assess groundwater potential in Barangay Lampianao, Calinan District, Davao City using Random Forest Algorithm. The model's goal is to pinpoint high groundwater potential areas for effective water resource management. By integrating geological, hydrological, and climatic data, the study employs a mixed research design involving developmental and experimental methods. Field survey data will be split into training (70%), testing (20%), and validation (10%) sets, leveraging sources like DENR, PAGASA, and local government units. Remote sensing and field surveys, along with GIS tools like ArcGIS or QGIS, will be used for accurate mapping and prediction.
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