Page 26 - Çevre Şehir ve İklim Dergisi İngilizce - Özel Sayı

Breath: the Source of Life
“Air Quality Modelling Applications”

The approach that is developed for determining the air quality will ensure;
a. Spatial and temporal distribution at high resolution,
b. Calculating the pollution distribution according to meteorological
conditions by using a scientifically based and reliable model,
And the obtained analyses and data as a result of the calculations will provide
great benefits for the decision makers or local administrators throughout the
country, such as;
a. Showing how much of the total population is exposed to pollution,
b. Performing the studies related to health and urban planning in a more
realistic way,
c. Taking more effective measures to improve air quality.
In this regard, at the very time when the research on the impact of the
building structure of cities on air quality has just gained momentum, the
Ministry of Environment, Urbanisation and Climate Change has launched and
implemented the domestic and national New Emission Forecast & Evaluation
System software - NEFES (NEFES, 2021).
3-dimensional NEFES software is able to model even short distances up to
5 meters allowing to identify the points causing air pollution and the source of
the pollution. Domestic and national software NEFES enables demonstrating
air quality values in 3-dimensional medium for centers and all districts of 81
provinces in Türkiye by considering more than 100.000 data and various factors
such as strategic air quality maps, 3-dimensional building models, urban atlas,
topography, traffic density, land use, intersections, fuel types of the buildings.
It is planned to activate the implementation process for policies in our cities
with this method. This 3 dimensional software is one of the first examples in
this field worldwide with its feature to detect instantly all the data processed
into the software and produce outputs.
NEFES software algorithm performs analysis with a hybrid approach using
a land use regression modelling approach and contains many computational
algorithms that can be featured as the first of its kind in the field. For example,
topography, which is neglected in the literature in order to reduce computer
processing power, has been taken into account. By taking advantage of the
3-dimensional feature, the relationship between the volume of buildings
and emissions caused by heating, hourly mobility in buildings and vehicle
emissions deriving from this have been added to the algorithm. Local hotspots
were identified by using location information of the attraction points such as
pharmacy, school, restaurant and traffic dataset, and have been added to the
emission algorithm. Moreover, the effect of the road slope on increasing the
fuel consumption/emissions, the effect of traffic signalling lamps on increasing

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Special Issue / 2024