Abstract :
this paper aims to design and implement an
environmental monitoring and forecasting system based on neural
computing approach. The output information is used for feeding
the alarming systems. The data are collected in real-time through
pollution monitoring sensors at Sohar region. Air pollution is a
serious problem and coming from different sources that can lead
to a catastrophic, which is needed to be monitored and controlled.
The proposed work is monitored and managed the alerts on the
emissions of Hydrogen sulfide (H2S) in Oman. It is forecasting the
Level of H2S in the Sohar region based Neural Computation. The
SOFM is used to compute and predict the ratio of H2S and then
issue an alarm to take the proper decision which helps to
implement the necessary precautions. The experiments are giving
evidence that the predicted values are closely to true values that
gained from real sensors with accuracy of 78% and less MSE of
0.03865
Keyword :
Environment pollution, air quality standards, Environmental management system, Neural computing SOFM.