## 3 Results and Discussion
### Scenario Analysis
#### 3.4.2 Scenario 2: Reducing the Effect of Powerhouse Effluent
Figure 13: Reducing the effect of powerhouse effluent on water pollution: (**a**) amount of dredging discharge; (**b**) total amount of dumping at sites. By implementing these strategies and prioritizing environmental stewardship, powerhouses can contribute to the protection and preservation of water quality in Charleston Harbor, reducing the potential adverse effects of effluent discharge on the marine ecosystem. We acknowledge the crucial role of easily accessible historical data in accurately predicting and addressing marine pollution challenges. As exemplified by the comprehensive data availability in Charleston Harbor, SC, USA, we recognize the importance of transparency and data sharing to foster effective pollution control strategies and environmental management. Charleston Harbor's data-driven approach serves as a model for encouraging authorities worldwide to prioritize data transparency and establish sustainable partnerships with scientists and research institutions. By instituting regular, accurate data recording and making such data readily available, we can collectively uncover the true extent of marine pollution and develop solutions to one of humanity's most pressing issues. The proposed system dynamics modeling approach in the present study offers a versatile and powerful framework for understanding and addressing complex environmental issues, such as marine pollution. One of its key advantages is its ability to provide a holistic understanding of the intricate interactions within complex systems. By capturing the feedback loops and cause-and-effect relationships between different variables, system dynamics models reveal the dynamic behavior of the system over time. In the context of marine pollution, this approach allows researchers to comprehensively explore the sources of pollution, transport mechanisms, and their potential impacts on water quality and human health. To address the challenges posed by limited historical data in various locations and harbors, the manuscript underscores the need for collective efforts to promote data accessibility and foster international collaborations. The proposed model, inspired by Charleston Harbor's data-rich case study, serves as a steppingstone for inspiring other regions to adopt transparent data collection and sharing practices. By recognizing the vital role of data availability in marine pollution studies, we advocate for the active involvement of local authorities in contributing to comprehensive data sets. Sustainable and unbiased partnerships between local authorities, scientists, and research institutions are crucial in ensuring the availability of accurate data, which will drive evidence-based policy-making and environmental management. Moreover, the manuscript emphasizes the model's adaptability \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Time (Year)** & **Water Pollution: Base** & **Water Pollution: 20\% Reduced** & **Water Pollution: 40\% Reduced** \\  & **Simulation (mg/L)** & **(mg/L)** & **(mg/L)** \\ \hline  
\hline \hline \end{tabular}
\end{table} 
Table 3: Reducing the effect of powerhouse effluent on water pollution. to diverse locations once data becomes available, making it a valuable tool for addressing pollution challenges worldwide. By emphasizing the importance of data transparency and collaborative efforts, our study seeks to promote a global commitment to understanding and mitigating the impacts of marine pollution on our ecosystems and human well-being.