Talk · BIO Web of Conferences · January 1, 2024
A data-driven approach to assessing climate issues in coastal cities
Daniyal Kair, Amandyk Zhankozhauly Kartbayev
Abstract
This paper addresses the critical issue of climate change, a subject of considerable debate over recent decades. To provide a clear and unbiased perspective, we have developed an innovative model to forecast the future impacts of global warming. Utilizing datasets exclusively sourced from official government records ensures the integrity and neutrality of our data. Various modeling techniques were employed to optimize the fit and enhance the accuracy of our predictions. By analyzing temperature and sea-level data, we applied regression techniques to predict future values. We focused on preprocessing the data using MATLAB, and developed a function capable of forecasting both temperature and sea level changes. The findings indicate a grim future, particularly for coastal cities, which are expected to experience severe consequences.
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