Civil Engineering ETDs
Publication Date
Summer 8-1-2023
Abstract
Most freshwater aquatic studies rely on Eulerian monitoring, i.e., water quality and quantity are monitored using grab samples or semi-continuous sensors deployed at fixed cross-sections. While Eulerian monitoring is practical, it provides a limited understanding of spatial and temporal heterogeneity and their effects on environmental processes. This dissertation summarizes the design and application of The Navigator, an alternative Lagrangian monitoring system that offers cost-effective solutions for in-situ, real-time data collection in lotic and lentic freshwater ecosystems such as streams, rivers, ponds, and reservoirs. The Navigator features a suite of methods – an autonomous surface vehicle (ASV) with GPS and LTE connectivity, water quality sensors, depth sonar, computer vision camera, cloud computing, and a real-time webpage dashboard to visualize data. With these technologies, The Navigator provides insight into where, how, and why water quality and quantity change in time and space as it moves through the current or flows following user-specified pathways.
First, we tested our prototype of The Navigator in the monitoring of water quality parameters at high spatial-temporal resolution along the Rio Grande and a retention pond in Albuquerque, NM. Then, we deployed the Navigator to quantify experimental mixing lengths downstream of the outfall of a wastewater treatment plant in the Rio Grande near Albuquerque, NM, under various flow regimes. Lastly, we deployed The Navigator to examine the role of Santa Rosa Lake in attenuating the propagation of wildfire disturbances generated 170 km upstream during and after the Hermit’s Peak-Calf Canyon wildfire. Using Lagrangian monitoring, we quantified changes in water density, turbidity, and other water quality parameters along the river-lake section.
Keywords
surface freshwater, lagrangian monitoring, autonomous surface vehicle (ASV), water quality.
Document Type
Dissertation
Language
English
Degree Name
Civil Engineering
Level of Degree
Doctoral
Department Name
Civil Engineering
First Committee Member (Chair)
Dr. Ricardo González-Pinzón
Second Committee Member
Dr. David Van Horn
Third Committee Member
Dr. Mark Stone
Fourth Committee Member
Dr. Stefan Krause
Recommended Citation
Khandelwal, Aashish Sanjay. "DEVELOPMENT OF THE NAVIGATOR: A LAGRANGIAN SMART SENSING SYSTEM TO CHARACTERIZE AQUATIC ECOSYSTEMS.." (2023). https://digitalrepository.unm.edu/ce_etds/309
Comments
I have filed an embargo for this dissertation because of a pending patent.