Non-Linear Kalman Filter in Simulation Modelling of Hydrologic Cycles in the Basin of Lake Prespa

Abstract

The branch of systems theory in the state space aimed at the theory of process state estimation modelling appeared to play a keyrole, and has given incentives to be explored in applications to a variety of environmental problems. This paper presents a simulation model for medium and longer-term dynamics of water level of Prespanean Lake from precipitation to evaporation in a hydrologic cycle. Based on the observation data, a system-theoretic state estimation method using theory of non-linear Kalrnan filters is developed and applied within the model.