Spatio-temporal feature extraction used for detection of water pollution in New Zealand rivers.

Song, Lei; Lovell, Gerard; Dacey, Simon; Chitalia, Abha

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Date
2021-12
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
Permanent link to Research Bank record:
https://hdl.handle.net/10652/5604
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
Keywords:
New Zealand, rivers, water pollution analysis, computational analysis of environmental data, environmental monitoring, water quality
ANZSRC Field of Research:
410402 Environmental assessment and monitoring, 4105 Pollution and contamination
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