Modelling Environmental Data using System Identification Techniques

D.I. Jones and J. Farrar (UK)


System identification, environmental change, hydrology, soil processes.


The paper describes how data from the Snowdon Environmental Change Network (ECN) site in North Wales have been analysed using system identification techniques, drawn from the process control industries. Dynamic models are obtained for the input/output relationship between sodium concentration in rain and stream water. It is shown that two low order models, one being linear with time-varying parameters and the other being nonlinear, are capable of fitting the data as well as a high order linear, fixed parameter model. It is concluded that these are promising methods for further analysis of the Snowdon ECN data with a view to detecting long term change in the system's behaviour.

Important Links:

Go Back