The University of Southampton
University of Southampton Institutional Repository

Collaborative catchment-scale water quality management using integrated wireless sensor networks

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 Poor WQ is mainly attributed to poor water management and outdated agricultural activities.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 Poor WQ is mainly attributed to poor water management and outdated agricultural activities.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 - Version of Record
Download (39kB)

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
Related URLs:
Organisations: EEE

Identifiers

Local EPrints ID: 349493
URI: http://eprints.soton.ac.uk/id/eprint/349493
PURE UUID: 77af8859-49a1-4f7b-bafd-fc085a8ac8c0
ORCID for Nick Harris: ORCID iD orcid.org/0000-0003-4122-2219
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 06 Mar 2013 10:03
Last modified: 15 Mar 2024 03:23

Export record

Contributors

Author: Huma Zia
Author: Nick Harris ORCID iD
Author: Geoff V. Merrett ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×