2014
DOI: 10.1080/09064710.2014.966751
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Use of sensor data for turbidity, pH and conductivity as an alternative to conventional water quality monitoring in four Norwegian case studies

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Cited by 24 publications
(19 citation statements)
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“…Along with these understandings, novel high resolution P water quality monitoring, such as sensor technology, can be used to understand the processes of dissolved and particle-bound substances in waters. For example by using turbidity as a proxy for particulate P we can now reliably achieve high-frequency observations of P losses from agricultural landscapes over multiannual periods (Jordan et al, 2007;Skarbøvik and Roseth, 2014;Rode et al, 2016;Shore et al, 2017). This information, combined with ever advancing analytical techniques (Kruse et al, 2015) as well as improvements in landscape visualization tool kits, is helping to facilitate efforts to better quantify P dynamics in time and space, from plot to catchment and landscape.…”
Section: Introductionmentioning
confidence: 99%
“…Along with these understandings, novel high resolution P water quality monitoring, such as sensor technology, can be used to understand the processes of dissolved and particle-bound substances in waters. For example by using turbidity as a proxy for particulate P we can now reliably achieve high-frequency observations of P losses from agricultural landscapes over multiannual periods (Jordan et al, 2007;Skarbøvik and Roseth, 2014;Rode et al, 2016;Shore et al, 2017). This information, combined with ever advancing analytical techniques (Kruse et al, 2015) as well as improvements in landscape visualization tool kits, is helping to facilitate efforts to better quantify P dynamics in time and space, from plot to catchment and landscape.…”
Section: Introductionmentioning
confidence: 99%
“…For example, sensors offer continuous monitoring of water quality that can give increased understanding of pollutant transport during extreme events, something that is more difficult to detect from infrequent grab sampling or composite sampling (e.g. Koskiaho et al 2010;Skarbøvik and Roseth 2014). Results from different parts of the Nordic region obtained using multiple modelling tools could be combined.…”
Section: Development Of New Modelling and Monitoring Toolsmentioning
confidence: 99%
“…However, the high flow sampling was very much dependent on the person taking samples and his/her possibility of foreseeing the flow peak and concentration peak, as well as having the opportunity to do the sampling at the right time. The use of sensors, e.g., for measuring turbidity, would raise the quality of monitoring in this pilot project [48].…”
Section: Sampling Frequencymentioning
confidence: 99%