Risk Assessment Using Geographic Information Technologies On The Costa Verde Cliff, Magdalena Del Mar, Peru

Abstract

The research analyzes cliff instability, triggered by earthquakes and human activities such as inadequate construction and irrigation. These factors increase the fragility of infrastructure and the population in high-risk seismic areas. To prevent and mitigate risks, information and communication technologies (TICs) and geographic information systems (GIS) were used to improve decision-making. Hazard and vulnerability levels were assessed using spatial data and thematic maps generated with advanced tools, integrating drones and GIS. The results identify hazard levels: Very High (0.264 ≤ NP ≤ 0.447), High (0.164 ≤ NP < 0.264), Medium (0.078 ≤ NP < 0.164), and Low (0.047 ≤ NP < 0.078). Vulnerability levels were Medium (0.079 ≤ NV < 0.215) and Low (0.042 ≤ NV < 0.079). Risk was classified as High (0.151 ≤ NR < 0.275), Medium (0.074 ≤ NR < 0.151), and Low (0.039 ≤ NR < 0.074). Three-dimensional maps made it possible to identify critical areas and exposed elements, such as roads and recreational areas. It is concluded that TICs are essential to optimize risk management by providing accurate and timely information. In addition, the need for land use regulation policies and prevention strategies based on comprehensive analysis, reducing the exposure of the population and infrastructure, is highlighted. This research highlights the transformative potential of TICs in risk management in vulnerable areas and the fundamental role of local authorities in promoting a culture of prevention and adopting innovative technologies that foster more efficient management of natural hazards.