Temporal Analysis of Oceanographic Data: Insights into Environmental Variability and Trends
This paper presents an extensive analysis of oceanic environmental data collected by Ocean Networks Canada in Discovery Passage over the past five years. Using advanced sensor technology, we collected comprehensive datasets on ocean factors such as temperature, salinity, pH levels, and other critical parameters. Through meticulous data cleaning processes and advanced analytics, including statistical analysis and machine learning models, we systematically examined these large datasets to identify significant trends and patterns in the ocean environment. Our findings reveal notable changes and dynamics in the ecosystem, which are visualized through a series of detailed graphs. These visualizations not only enhance our understanding of the current state of the ocean but also underscore the potential long-term impacts of environmental changes. The insights gained from this study contribute significantly to the field of oceanography by providing a clearer picture of ocean health and laying a foundation for future research on sustainable ocean management and environmental conservation.
Authors
- Navneet Kaur Popli (ORCID: https://orcid.org/0009-0004-8040-0721)
- Rudra Pratap Singh (ORCID: https://orcid.org/0000-0002-9642-7679)
- Bhan Singh (ORCID: https://orcid.org/0009-0002-7556-9878)
Institutions
- University of Victoria (CA)
Publication Details
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1109/pacrim61180.2024.10690219
- Citations
- 3
- Primary Topic
- Marine and fisheries research
- Type
- article
- Field-Weighted Citation Impact
- 0.85