Kmoch, A., White, P. A., & Klug, H. (2015). Sensor Observation Service and web-based real-time Processing of environmental Measurements in the Upper Rangitaiki Catchment (Poster). In The NZ Hydrological Society Conference 2015, 26th November, in Hamilton, New Zealand
Abstract:
Environmental assessments naturally depend on field observations and technological advancements. , such as tTelemetry, allow the automated collection, transmission and processing of these measurements. However, modelling of natural processes is typically a complex challenge and involves applying expertise of scientists as well as a host of data preparation steps (White, 2006, White et al., 2003).
In addition, automation of model execution with the most recent observation data is dependent on the integration of the data collection, storage and processing elements (Klug and Kmoch, 2014). This paper demonstrates a system that integrates a Sensor Observation Service (SOS) that includinges field observations and internet-based environmental data with a rainfall recharge model that allows near-real time calculation of rainfall recharge in the Upper Rangitaiki catchment, Bay of Plenty region.
The SOS specification is an Open Geospatial Consortium (OGC) standard for the open and standardised integration of environmental sensors into an internet-based environmental data infrastructure (Klug and Kmoch, 2015, Klug, Kmoch, Reichel, 2015).
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| Figure 1. Process of data flow from field site sensors, to SOS data service to a simulation model process |
Results:
- We showed that it is possible to link the collected data directly to a simple rainfall recharge model (Figure 1)
- The low cost sensor and circuit board instrumentation collects data and forwards them to the field computer in 10-minute intervals via robust, low power, ZigBee wireless protocol
- The field computer running a standard Linux operating system, transfers observation data in 10 minute intervals via a 3G mobile data connection to an online SOS server.
- From the service the observations are available in a standardised open format.
- A website can access the raw data from the SOS server and plotted data points within 5-10 minutes of field measurement
- A rainfall recharge model runs with the latest data points from the online SOS server.
References:
Klug, H., & Kmoch, A. (2014). A SMART groundwater portal: An OGC web services orchestration framework for hydrology to improve data access and visualisation in New Zealand. Computers & Geosciences, 69(0), 78–86. http://dx.doi.org/10.1016/j.cageo.2014.04.016
Klug, H., Kmoch, A. (2015). Operationalizing environmental indicators for real time multi-purpose decision making and action support. Ecological Modelling, 295, 66-74. http://dx.doi.org/10.1016/j.ecolmodel.2014.04.009.
White, P. A. (2006). Some Future Directions in Hydrology. Journal of Hydrology (NZ), 45(2), 63–68.
White, P. A., Hong, Y.-S., Murray, D. L., Scott, D. M., & Thorpe, H. R. (2003). Evaluation of regional models of rainfall recharge to groundwater by comparison with lysimeter measurements, Canterbury, New Zealand. Journal of Hydrology (NZ), 42(1), 39–64.
Klug, H., Kmoch, A., & Reichel, S. (2015). Adjusting the Frequency of Automated Phosphorus Measurements to Environmental Conditions. GI_Forum 2015 - Journal for Geographic Information Science - Geospatial Minds for Society, 1, 590–599. http://doi.org/10.1553/giscience2015s590
