TITLE:
Artificial Neural Network Modeling of Healthy Risk Level Induced by Aircraft Pollutant Impacts around Soekarno Hatta International Airport
AUTHORS:
Salah Khardi, Jermanto Setia Kurniawan, Irwan Katili, Setyo Moersidik
KEYWORDS:
Aircraft; Pollutant Emissions; Artificial Neural Network; Healthy Risk Level
JOURNAL NAME:
Journal of Environmental Protection,
Vol.4 No.8A,
August
12,
2013
ABSTRACT: Aircraft pollutant emissions are an
important part of sources of pollution that directly or indirectly affect human
health and ecosystems. This research suggests an Artificial Neural Network
model to determine the healthy risk level around Soekarno Hatta International
Airport-Cengkareng
Indonesia. This ANN modeling is a flexible method, which enables to recognize
highly complex non-linear correlations. The network was trained with real
measurement data and updated with new measurements, enhancing its quality and
making it the ideal method for this research. Measurements of aircraft
pollutant emissions are carried out with the aim to be used as input data and
to validate the developed model. The obtained results concerned the improved
ANN architecture model based on pollutant emissions as input variables. ANN
model processes variables—hidden layers—and gives an
output variable corresponding to a healthy risk level. This model is
characterized by a 4-10-1 scheme. Based on ANN
criteria, the best validation performance is achieved at epoch 28 from 34
epochs with the Mean Squared Error (MSE) of 9 × 10-3. The correlation
between targets and outputs is confirmed. It validated a close relationship
between targets and outputs. The network output errors value approaches zero.
Further research is needed with the aim to enlarge the scheme of the ANN model
by increasing its input variables. This is one of the major key defining
environmental capacities of an airport that should be applied by Indonesian
airport authorities. These would institute policies to manage or reduce
pollutant emissions considering population and income growth to be socially
positive.