As climate change and population growth raise the likelihood of natural disasters, it becomes crucial to comprehend and mitigate these risks in vital infrastructure systems, especially nuclear power plants (NPPs). This research addresses the necessity for evaluating multiple hazards by concentrating on slope failures triggered by earthquakes near NPPs over a timeframe extending up to a return period of 100,000 years. Utilizing a Geographical Information System (GIS) and Monte Carlo Simulation (MCS), the research conducts a comprehensive fragility assessment to predict failure probability under varying ground-shaking conditions. According to the Newmark displacement method, factors such as Peak Ground Acceleration (PGA), slope angle, soil properties, and saturation ratio play significant roles in determining slope safety outcomes. The investigation aims to enhance understanding seismic event repercussions on NPP-adjacent landscapes, providing insights into long-term dynamics and associated risks. Results indicate an increase in slope vulnerability with longer return periods, with distinct instances of slope failures at specific return periods. This analysis not only highlights immediate seismic impacts but also underscores the escalating risk of slope displacement across the extended return period scales, crucial for evaluating long-term stability and associated hazards near nuclear infrastructure.

Malaria is an infectious disease that cause chilling, fever and hepatosplenomegaly by protozoan in plasmodium invading red blood cell, carried by anopheles mosquitoes. Malaria is transmitting steadily in South Korea from 1993 when vivax malaria retransmission occurred to soldiers at the front line near North Korea. There are many attempts in academic fields to analyse the causes by carrying out correlation analysis considering weather elements and regional characteristics, also developing tools for analysis. However, existing analysis tools have many limitations relating multi-platform support, user associability, limitation of information and so on. This study is to improve these limitations by developing hybrid web app concepted malaria vulnerability map system. Thus, it is possible to check the real-time malaria risk information, even in mobile platforms, and maximize the support for ease of use by using the implements and game UI animation technology of mobile-specific functions. Further utilizing a frame animation technology is a game animation techniques visual representation, and visually provides a time zone of malaria risk information, it is attempted to increase the user access. The system is expected to utilized by experts in related fields and general users.