Adventures in Monitoring: Maintaining Sensor Networks and Managing the Flood of Data

Presenter Information

Amber Spackman Jones

Location

ECC 303/305

Event Website

http://water.usu.edu/

Start Date

4-4-2012 2:30 PM

End Date

4-4-2012 2:50 PM

Description

Advances in sensor technology enable the monitoring of water quality in real time, with high frequency, and for extended time periods. In order to implement water quality observation with in situ sensors, users must consider the observing infrastructure and the cyberinfrastructure necessary for the collection, transmittal, storage, and sharing of resulting data. An important component of sensor data management is reviewing and performing quality control on the data streams. A case study of a sensor network within the Little Bear River, Utah, USA will be used to illustrate the challenges faced in collecting high frequency sensor data. In addition to existing tools for correcting anomalous data, we are researching streamlined methods to perform quality control on high frequency water quality datasets.

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Apr 4th, 2:30 PM Apr 4th, 2:50 PM

Adventures in Monitoring: Maintaining Sensor Networks and Managing the Flood of Data

ECC 303/305

Advances in sensor technology enable the monitoring of water quality in real time, with high frequency, and for extended time periods. In order to implement water quality observation with in situ sensors, users must consider the observing infrastructure and the cyberinfrastructure necessary for the collection, transmittal, storage, and sharing of resulting data. An important component of sensor data management is reviewing and performing quality control on the data streams. A case study of a sensor network within the Little Bear River, Utah, USA will be used to illustrate the challenges faced in collecting high frequency sensor data. In addition to existing tools for correcting anomalous data, we are researching streamlined methods to perform quality control on high frequency water quality datasets.

https://digitalcommons.usu.edu/runoff/2012/AllAbstracts/50