Collaborative catchment-scale water quality management using
integrated wireless sensor networks
Collaborative catchment-scale water quality management using
integrated wireless sensor networks
The challenge of improving water quality (WQ) is a growing global concern. Poor WQ is mainly attributed to poor water management and outdated agricultural activities. We propose that collaborative sensor networks spread across an entire catchment can allow cooperation among individual activities for integrated WQ monitoring and management. We show that sharing information on critical parameters among networks of water bodies and farms can enable identification and quantification of the contaminant sources, enabling better decision making for agricultural practices and thereby reducing contaminants fluxes.
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8
Harris, Nick
237cfdbd-86e4-4025-869c-c85136f14dfd
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8
Harris, Nick
237cfdbd-86e4-4025-869c-c85136f14dfd
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Zia, Huma, Harris, Nick and Merrett, Geoff V.
(2013)
Collaborative catchment-scale water quality management using
integrated wireless sensor networks.
European Geosciences Union General Assembly 2013, Austria, Republic of, Austria.
07 - 12 Apr 2013.
Record type:
Conference or Workshop Item
(Poster)
Abstract
The challenge of improving water quality (WQ) is a growing global concern. Poor WQ is mainly attributed to poor water management and outdated agricultural activities. We propose that collaborative sensor networks spread across an entire catchment can allow cooperation among individual activities for integrated WQ monitoring and management. We show that sharing information on critical parameters among networks of water bodies and farms can enable identification and quantification of the contaminant sources, enabling better decision making for agricultural practices and thereby reducing contaminants fluxes.
Text
EGU2013-10248.pdf
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More information
e-pub ahead of print date: 11 April 2013
Additional Information:
In session: Merging hydrologic models and Earth Observation data for reliable information on water
Venue - Dates:
European Geosciences Union General Assembly 2013, Austria, Republic of, Austria, 2013-04-07 - 2013-04-12
Organisations:
EEE
Identifiers
Local EPrints ID: 349493
URI: http://eprints.soton.ac.uk/id/eprint/349493
PURE UUID: 77af8859-49a1-4f7b-bafd-fc085a8ac8c0
Catalogue record
Date deposited: 06 Mar 2013 10:03
Last modified: 15 Mar 2024 03:23
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Contributors
Author:
Huma Zia
Author:
Nick Harris
Author:
Geoff V. Merrett
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