Yagnesh Naidu
Contact
yagnesh.naidu@student.unimelb.edu.au
Building 193, Level 4, 410.05
Thesis title
Developing a real-time field estimation model of nutrients across large water bodies using in-situ sensor data to effectively map nutrient distribution and dynamics
Research overview
Algal blooms are a widespread global issue that significantly affect freshwater resources. Although nutrient enrichment is known to be a primary driver, the interactions among nutrients and other environmental factors that lead to bloom formation are still not fully understood. Developing a model capable of providing continuous information on nutrient distribution, dynamics, and temporal change would improve understanding of these mechanisms and enable more timely and cost-effective mitigation strategies. This research aims to develop a real-time field estimation model that leverages in-situ sensor data across a large water body to characterise nutrient patterns and dynamics, thereby enhancing understanding of algal bloom processes and supporting earlier intervention.
Supervisors
Discipline
Qualifications
Bachelor of Engineering (Honours) and Bachelor of Science Double degree, The Australian National University