Temporal and Spatial Geophysical Data Analysis in the Issues of Natural Hazards and Risk Assessment (in Example of North Ossetia, Russia)

Abstract

The paper considers the aspects of hazard assessment within the framework of a generalized approach. The aim of the study is to improve the methodology for more accurate and detailed probabilistic assessments of risks of various nature. A complex hazard map is constructed in an example of the territory of the Republic of North Ossetia-Alania and the construction site of the Mamison resort. Based on the analysis of data on Quaternary formations and quantitative estimates, it was concluded that the natural average static environmental evolution proceeds in the mode of the dynamic balance of two factors: mountain building and the equivalent increase in denudation, of which about 90% is transported and deposited by river waters and winds outside the territory. The remaining 10% is deposited in intermountain depressions and river valleys in situ. Geodynamic and climatic factors of influence on the geoenvironment create the danger of excessive environmental impact and disruption of its equilibrium development under anthropogenic impacts, which must be taken into account in designing.

A review of data analytics techniques in enhancing environmental risk assessments in the U.S. Geology Sector

“…This technology enables the identification of spatial patterns and the translation of these patterns into measurable targets, thereby enhancing the precision of risk assessments. Melkov et al (2022) focus on the temporal and spatial geophysical data analysis in the context of natural hazards and risk assessment. Their study, conducted in North Ossetia, Russia, illustrates the importance of a detailed probabilistic assessment of risks of various natures.…”

“…The research highlights the dynamic balance between natural processes such as mountain building and denudation, and how geodynamic and climatic factors influence these processes. The study by Melkov et al (2022) underscores the significance of considering both temporal and spatial data in environmental risk assessments, particularly in geological studies where the risks are often multifaceted and complex.…”