Numerical Simulations of Carbon Emission-Absorption Model with Data From Thailand

In the summer of 2024, between the months March and May, many environmental anomalies occurred within Thailand, such as, rising temperatures which exceeded 40 degrees Celsius for more than a week. Another example would be unexpected thunderstorms beginning from early March and lasting the entire duration of summertime (https://www.tmd.go.th, online accessed on 2024). This shows that Thailand’s current weather conditions are extremely variable. These variabilities in weather conditions are one of many results of global warming, which is caused by the great amount of greenhouse gases in the atmosphere. Though this research is focused solely on Thailand in a closed environment, the greenhouse effect is a problem faced worldwide. Therefore, global warming is a dilemma that has gained a lot of attention universally and has been a common point for countries to band together and set goals aiming to reduce greenhouse gas emissions. Such movements are led by leading countries such as, China, who put forward a dual carbon target that aims to reduce the total amount of carbon emissions in China by 65% within the year 2030. This declaration has raised concerns in terms of the reality of carbon emissions in China, causing many researchers to find ways to accurately calculate carbon emissions. Such as ,( Leilei Han et al., 2022),who analyzed China’s carbon emission stability according to current changes in industrial structure and (Haokun Sui et al., 2022), who did a dynamic analysis of delayed carbon emissions influenced by China’s urbanization and population. Apart from China, other countries see the importance of this increasingly critical issue. For example, (Pita Donald et al., 2024), who used a mathematical model to explain carbon dioxide emissions for vehicles. In this paper, we use the numerical method with a delayed differential equation model of carbon emission-absorption under the influence of Thailand’s urbanization to analyze carbon neutrality.