World’s population is
increasing day by day. It will be making water management very
critical issue. It has become absolutely necessary to find the
solution for effective water management. Many techniques are
available for effective water management based on the observed data
analysis. Most of the techniques are statistical which are based on
collection of data and analysing this data with the help of designing
a computational model. For designing the computational model various
mathematical and statistical techniques has been used based on state
variable equations.
A computational model contains
numerous variables that characterise the system being studied.
Simulation is done by adjusting these variables and observing how the
changes affect the outcomes predicted by the model. The results of
model simulations help researchers make predictions about what will
happen in the real system that is being studied in response to
changing conditions.
Data assimilation is the process
by which observations are incorporated into a computer model of a
real system. Data assimilation is very important concept of applied
mathematics which is used in most of the application areas from
signal processing to weather forecasting.
