EGU23-4145, updated on 22 Feb 2023
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using Apriori Algorithm to Find the Number of Frequent Heat Wave Days Affecting Cities in Europe Over the Future Period 

Mahesh Ramadoss1, Christopher Kadow2, Meyyappan Thirunavukkarasu3, Samuel Chellathurai1, Shameema Begum1, Narmatha Duraisamy1, Akbar Bhadushah1, and Abdul Rasheed1
Mahesh Ramadoss et al.
  • 1School of Computing Science,Sree Saraswathi Thyagaraja College, Pollachi, India (
  • 2Deutsches Klimarechenzentrum GmbH (DKRZ), Hamburg, Germany
  • 3Department of Computer Science,Alagappa University, Karaikudi,India

Heatwave episodes have severe consequences in the forms of excess mortality in many regions around the world, shortage of agricultural products, drastic changes in ecosystem function and health risks. Due to the global mean temperature rising, the acceleration of extreme temperature disturbing highly at the local scale level, particularly in urban areas. From an economic growth point of view, Major cities are contributing in terms of GDP more. Heatwaves have impacted European GDP significantly in recent years. Our work is to find the number of frequent heat wave days affecting cities which are contributing to the growth of the economy in terms of GDP and density of population wise in Europe over the near future, mid future and long future using the Apriori algorithm. The features of the heat wave and their attributes have been defined according to the criteria explained in ETCCDI. The dataset that contains heat wave days in Europe derived from EURO-CORDEX climate projections is used in this work.


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How to cite: Ramadoss, M., Kadow, C., Thirunavukkarasu, M., Chellathurai, S., Begum, S., Duraisamy, N., Bhadushah, A., and Rasheed, A.: Using Apriori Algorithm to Find the Number of Frequent Heat Wave Days Affecting Cities in Europe Over the Future Period , EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4145,, 2023.