Abstract

This proposal outlines a novel approach to studying sediment transport dynamics at an erosion plot scale using proximal sensing techniques and rainfall simulations. Sediment transport is critical to watershed management and soil erosion control, impacting water quality, ecosystem health, and infrastructure stability. Traditional methods often rely on labor-intensive field measurements and laboratory analyses, which can be costly and time-consuming. In this study, we propose a proximal sensing framework that leverages high-resolution surface sensed data, elemental content using laser-induced breakdown spectrometry (LIBS), and controlled rainfall simulations to study sediment transport processes at a finer scale. This research will be conducted at Finca Alzamora on a representative Ultisol in a region prone to erosion. Key objectives include developing a methodology of sediment characterization using LIBS and conducting rainfall simulations to study sediment transport under erosive events. Data will include surface runoff, sediment concentration, soil moisture, and topographic features. The outcomes will improve the understanding of sediment transport using proximal sensors and establish a new paradigm for more sustainable tools. This research aligns with broader goals of environmental sustainability and natural resource management in the face of changing climate conditions.