A Statistical Study on Effects of Plastics on Flooding in Salem Western Region

Abstract

The escalating issue of plastic pollution has garnered significant attention in recent years due to its detrimental effects on the environment and ecosystems. In this study, we employ R software to investigate the intricate relationship between flooding occurrences and plastic pollution density, considering the influence of land use patterns and precipitation levels. Through rigorous statistical analysis, we uncover compelling insights into how plastic waste density, land use characteristics, and precipitation dynamics collectively impact the frequency of flooding events.

Our findings reveal significant correlations between plastic waste density, land use types, precipitation levels, and the incidence of flooding. Specifically, areas with higher concentrations of plastic waste exhibit heightened susceptibility to flooding, particularly when coupled with specific land use patterns and precipitation regimes. These significant relationships underscore the critical role that plastic pollution plays in exacerbating flood risks in various geographical contexts.

The implications of our research extend beyond academic discourse, as the identified relationships provide valuable guidance for policymakers, legislators, and environmentalists. By pinpointing the locations where plastic pollution intensifies the likelihood of flooding events, our data-driven approach facilitates targeted interventions aimed at mitigating the adverse impacts of plastic on flood susceptibility. This strategic approach empowers stakeholders to prioritize and implement effective measures to curb plastic pollution and safeguard vulnerable communities against the ravages of flooding.

In essence, our study underscores the urgent need for concerted efforts to address the intertwined challenges of plastic pollution and flooding, emphasizing the imperative of informed decision-making and proactive environmental management strategies. By leveraging empirical evidence and advanced statistical techniques, we contribute to the growing body of knowledge aimed at fostering sustainable solutions to mitigate the multifaceted threats posed by plastic pollution and climate change-induced flooding.