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.

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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
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article

Temporal Analysis of Oceanographic Data: Insights into Environmental Variability and Trends

Navneet Kaur Popli, Rudra Pratap Singh, Bhan Singh
3 citations
Marine and fisheries research
0.85
article

Temporal Analysis of Oceanographic Data: Insights into Environmental Variability and Trends

Navneet Kaur Popli, Rudra Pratap Singh, Bhan Singh
article en
3 citations

Abstract

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.

University of Victoria (CA)
Climate action
Openalex Percentile: Top 27%
Marine and fisheries research
0.85
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