American
International
University-
Bangladesh

Students & Supervisors

Abstract

Introduction With its quick urbanization and economic expansion, Dubai is becoming more and more concerned about the effects of climate change. For climate management and adaptation plans to be successful, it is essential to comprehend the dynamics of important climate variables including temperature, precipitation, and CO2 emissions. The goal of this study's thorough statistical research is to solve the complex mystery of Dubai's climatic changes. Methodology We gathered and examined large-scale datasets from 2010 to 2022 that included CO2 emissions, temperature logs, and rainfall data for Dubai. To investigate the connections and patterns between these variables, statistical methods such as time series modeling, trend analysis, and correlation analysis were used. Results Figure 1 shows trends for CO2 emissions, rainfall, and temperature in Dubai over a certain time period. While rainfall varies, temperatures are rising steadily, suggesting global warming. A growing trend in CO2 emissions points to an increase in human activity. These patterns draw attention to the intricate interactions between manmade and natural elements that affect Dubai's climate, highlighting the necessity of sustainable mitigation efforts for the effects of climate change. The correlations between temperature, rainfall, and CO2 emissions in Dubai are briefly shown in Table 1. The data indicates a robust positive correlation (0.9661) between temperature and CO2 emissions, suggesting that human activity plays a role in the rise in global temperatures. Furthermore, a weak negative correlation (-0.2144) indicates that there may be a small drop in emissions when rainfall increases. The matrix provides clear insights into the dynamics of Dubai's climate by highlighting the interdependence of these elements. Furthermore, further research is needed to determine how urbanization and economic growth directly affect temperature and rainfall, even though they have contributed to CO2 emissions. Conclusion Finally, our statistical analysis clarifies the intricate relationships between Dubai's temperature, rainfall, and CO2 emissions. The results highlight the necessity of taking proactive steps to lessen the effects of climate change and improve climate resilience in the area. Subsequent investigations ought to concentrate on improving climate models and delving into the more extensive socio-economic elements affecting Dubai's climate dynamics. For the purpose of developing policies and making well-informed decisions about sustainable climate management in Dubai and other comparable metropolitan settings, this study provides a useful basis.

Keywords

Publication Details

• Type of Publication: Conference
• Conference Name: 23rd International Mathematics Conference
• Date of Conference: 16/05/2024 - 17/05/2024
• Venue: Department of Mathematics, University of Rajshahi, Bangladesh
• Organizer: Department of Mathematics, University of Rajshahi, Bangladesh