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Breath: the Source of Life
“Air Quality Modelling Applications”
4 . Conclusions and Recommendations
Digital applications in effective air quality management launched by the
Ministry of Environment, Urbanisation and Climate Change feature as the
leading example in this field. All sources of air pollution have been considered
in the software that aims to obtain maximum quality data by minimising the
uncertainty in the calculations.
Applications developed simultaneously with the digital transformation
era have enhanced the use of decision support system in the air quality
management at maximum.
It is obvious that this managerial approach, which aims at sustainable and
continuous development with public resources and infrastructure, will be
useful in improving the air quality of our cities.
Through implementing the mitigation measures developed for the identified
hotspots, emission reduction will be achieved, thus the air quality will improve
and contribution will be made to the net zero target of our country.
Sharing the digital transformation outputs in air quality management with
the relevant institutions in line with the green transformation goal is important
for the effective and efficient use of resources.
Setting out with the principle of creating a common and transparent
database, the Ministry of Environment, Urbanisation and Climate Change has
managed to provide all citizens with data on the air quality of their location.
It is recommended to continue to benefit from advancing information
technologies, to use satellite data in studies in particular, and to include
techniques such as machine learning, artificial neural networks in the studies.
I would like to extend my thanks to the project team of Istanbul Technical
University and TURKSAT, my managers and team members in the Ministry
of Environment, Urbanisation and Climate Change, who contributed to the
development of the models in the scope of the study.
References
WHO, 2018. Ambient air pollution: health impacts. Retrieved May 10, (2020), from.
htt ps://www.who.int/airpollution/ambient/health-impacts/en/.
Cohen, A.J., Brauer, M., Burnett, R., Anderson, H.R., Frostad, J., Estep, K.,
Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V., Freedman, G.,
Hubbell, B., Jobling, A., Kan, H., et al., (2017). Estimates and 25-year trends of the
global burden of disease attributable to ambient air pollution: an analysis of data
from the Global Burden of Diseases Study 2015. Lancet. 389, 1907–1918. https:// doi.
org/10.1016/S0140-6736(17)30505-6.
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Special Issue / 2024