Special Session #14

Mathematical Modeling, Wavelets and Engineering Applications in Earth and Nature Sciences for Real-World Phenomena

 

Chair:

Prof. Funda Dökmen, Kocaeli University, Department of Plant and Animal Production, Kocaeli, Türkiye; e-mail: funda.dokmen@kocaeli.edu.tr ; f_dokmen@hotmail.com

Co-Chair:

Prof. Emrah Tuncay Özdemir, İstanbul Technical University, Department of Meteorological Engineering, Istanbul, Türkiye; e-mail: etozdemir@itu.edu.tr ; etozdemir@gmail.com


Mathematical modeling for dynamic systems is intricately connected to the examination of different meteorological conditions, climate change, natural and atmospheric science. A structured framework can be designed and implemented for the purposes of analyzing, predicting and understanding complex interactions occurring within Earth's atmosphere and climatic systems. Besides this, mathematical modeling converts the physical processes governing meteorological and atmospheric phenomena into equations and algorithms. These integrative models may represent critical aspects such as temperature, humidity, air pressure as well as wind patterns so that accurate forecasts of weather conditions and variations can be ensured. On the other hand, analyzing dynamic systems is important to understand how such variables evolve over time and interact across different scales along with understanding nonlinearities and feedback mechanisms in atmospheric processes, which are all crucial for improving prediction accuracy. In conjunction with enhancing understanding, advanced tools and techniques like artificial intelligence (AI), machine learning, numerical simulations, remote sensing and satellite, advanced computing, climate models, aerial vehicles, geographic information systems, renewable energy technologies, and so forth are highly effective and when applied to climate change, even more essential.

Wavelets as a powerful mathematical tool and their analyses are employed for studying time-series data which include climate variability and weather patterns. In the area of agriculture, wavelets, some uses of which are drought monitoring, rainfall analysis, crop yield prediction, can be utilized for analyzing and predicting seasonal and periodical variations in meteorological conditions to pave the way for better planning, finding optimal timing and ensuring environmental sustainability.

The integration of mathematical modeling and dynamic systems into Earth sciences, natural sciences, meteorology, aviation and atmospheric science drives the implementation of advanced and efficient applications in agriculture, irrigation, urban planning, risk mitigation, disaster management and renewable energy, among many others. Consequently, our special session aims to bridge theory and real-world applications in these related domains so that ideas, innovations, practice and research can contribute to protection of communities and fostering sustainable development while mitigating climate impacts and adapting to the changing environments.

The topics include but are not limited to:

  • Wavelets in atmospheric changes and weather patterns
  • Machine learning and AI applications in Earth sciences / climatology / life sciences / nature sciences, etc.
  • Mathematical modeling for life and natural sciences
  • Analysis of climate patterns by greenhouse gas emissions
  • Predicting future scenarios based on anthropogenic factors 
  • Digital technologies and agrifood
  • Predictive algorithms for future climatic and / or atmospheric phenomena
  • Comparative analysis in nonlinear models
  • Modeling long-term nonrenewable energy production
  • Meteorological remote sensing
  • Environmental monitoring and assessment
  • Sensitivity analysis in environmental sciences
  • Wavelet transform models for parameters changes
  • Wavelet applications in epidemiology and ecology
  • Advanced statistical methods and models
  • Water management and its applications
  • Agricultural ecology, and its applications
  • Agricultural and its modeling applications
  • Mathematical modeling in nature sciences
  • Dynamical systems and atmospheric sciences
  • Aeronautical meteorology applications and atmospheric dynamic