The Computer modeling and forecast of expected debris flow in the mletiskhevi

Authors

  • G. Chakhaia Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]
  • L. Tsulukidze Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]
  • Z. Laoshvili Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]
  • S. Bosikashvili Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]
  • T. Gugushvili LLC “Geobarrier”, 107061, Preobrazhensky Val, bld. 1, Moscow, Russia
  • I. Khubulava Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]
  • T. Supatashvili 3 University of Georgia, School of Sciences and Technologies, 0171, M. Kostava str. 77a Tbilisi, Georgia
  • S. Gogilava Georgian Technical University, Ts. Mirtskhulava Water Management Institute, 0179, I. Chavchavadze ave. 60b, Tbilisi, Georgia/ [email protected]

Keywords:

Debris flow, erosion, landside, modelling, RAMMS

Abstract

The aim of the research is computer modeling and risk analysis of debris flow of expected erosion and landslide genesis in Mletiskhevi, for which, at the initial stage, the minimum conditions for the resistance of the landslide slope mainly caused by debris flow were de-termined. In case of both dry and water-saturated ground. At a later stage for modelling the debris flow we used computer program RAMMS (Rapid mass movement simulation) and for its functioning Mletiskhevi DEM (Digital Elevation Model) was used. Besides the inputs were defined for RAMMS. As a result by modelling carried out with RAMMS computer program, the forecasting characteristics of the expected debris flow in the Mletiskhevi catchment area were defined: height, speed, pressure and volume of the extracted mass. Accordingly, debris flow risk zones were also identified. There are 3 houses, agricultural land, St. George Church and Motor bridge. Therefore, effective anti-debris flow measures should be taken immediately to minimize the risk of expected debris flow in Mletiskhevi.

Additional Files

Published

16-10-2023

How to Cite

Chakhaia, G., Tsulukidze, L., Laoshvili, Z., Bosikashvili, S., Gugushvili, T., Khubulava, I., Supatashvili, T., & Gogilava, S. (2023). The Computer modeling and forecast of expected debris flow in the mletiskhevi. The Journal of Nature Studies - Annals of Agrarian Science, 20(4). Retrieved from https://journals.org.ge/index.php/aans/article/view/188