UAV-Based Quantification of Dynamic Lahar Channel Morphology at Volcán de Fuego, Guatemala


Abstract:

This study quantified erosional and depositional processes for secondary lahars in Las Lajas drainage at Volcán de Fuego, Guatemala, during the rainy season from May to October 2021. Abundant pyroclastic material from ongoing eruptive activity is remobilized seasonally during heavy precipitation, which can impact infrastructure and populations living near Fuego. Our region of focus was in an agricultural zone 6 to 10 km from the summit, surveyed with an unoccupied aerial vehicle (UAV) quadcopter at monthly intervals. Imagery was processed into overlapping time-lapse structure from motion digital elevation models (DEMs). DEMs were differenced to find volumetric changes as a function of the channel flow path distance (quantified in 500 m sections) to track channel morphology changes over time. The largest measured volume changes were a 490 m<sup>3</sup>/day loss in the upper section (~6 km from summit) and a 440 m<sup>3</sup>/day gain in the lower sections (~10 km from summit). We discussed how the natural channel’s constriction and widening of Las Lajas in more distal sections control the behavior and stability of the stream evolution. Above the constriction, the channel is primarily downcutting and meandering within an old flood plain, which had been filled in by pyroclastic materials deposited by the June 2018 paroxysm.

Año de publicación:

2023

Keywords:

  • DEM
  • DoD
  • Fuego
  • Geophysics
  • LAHAR
  • orthomosaic
  • Photogrammetry
  • SfM
  • UAV
  • volcano

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Geomorfología
  • Geomorfología
  • Ciencia planetaria

Áreas temáticas de Dewey:

  • Geología, hidrología, meteorología
  • Otras ramas de la ingeniería
  • Geografía matemática
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 9: Industria, innovación e infraestructura
  • ODS 11: Ciudades y comunidades sostenibles
  • ODS 12: Producción y consumo responsables
Procesado con IAProcesado con IA