Spatio-temporal feature extraction used for detection of water pollution in New Zealand rivers.
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Authors
Song, Lei
Lovell, Gerard
Dacey, Simon
Chitalia, Abha
Lovell, Gerard
Dacey, Simon
Chitalia, Abha
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Date
2021-12
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Type
Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
New Zealand
rivers
water pollution analysis
computational analysis of environmental data
environmental monitoring
water quality
rivers
water pollution analysis
computational analysis of environmental data
environmental monitoring
water quality
ANZSRC Field of Research Code (2020)
Citation
Song, L., Lovell, G., Dacey, S., & Chitalia, A. (2021, December). Spatio-temporal feature extraction used for detection of water pollution in New Zealand rivers. Paper presented at the MIT/Unitec Research Symposium 2021 - Rangahau Horonuku Hou - New Research Landscapes
Abstract
Purpose:
• Develop a water pollution detection model to monitor the water quality of NZ rivers
Target features:
• Dissolved reactive phosphorus
• Oxidised nitrogen
Proposed solution:
• Spatio-temporal analysis
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