Author(s): Minji Kim; Ji Eun Kim; Tae-Woong Kim
Linked Author(s): Tae-Woong Kim
Keywords: Climate change LSTM neural networks Vulnerability Water-Energy-Food nexus
Abstract: Climate change poses significant challenges to the sustainability of resources, particularly in the interconnected sectors of water, energy, and food. South Korea, which relies heavily on external resources and is vulnerable to climate-induced disruptions, faces increasing risks in maintaining resource security. To address these challenges, this study developed an integrated Water-Energy-Food (WEF) nexus model tailored to the unique climatic and socioeconomic conditions of South Korea. The WEF nexus approach facilitates a comprehensive assessment of resource flows and interdependencies, enabling optimized management strategies under changing climate conditions. The model incorporates annual data on water availability (precipitation, river flow, dam storage), energy production (renewable and fossil fuel), and food production (crop yields, livestock populations). Using Long Short-Term Memory (LSTM) neural networks, we analyzed resource stress indices across 17 provinces, identifying areas most sensitive to climate variations. The model’s predictive capacity allows for scenario-based simulations to evaluate resource vulnerabilities and potential mitigation strategies.
Year: 2025