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Seulgi Moon

· Associate Professor

University of California, Los Angeles · Earth and Space Sciences

Active 2005–2025

h-index28
Citations2.8k
Papers13870 last 5y
Funding$1.2M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Seulgi Moon is an Associate Professor at UCLA in the Department of Earth, Planetary, and Space Sciences. She earned her Ph.D. from Stanford University. Her research group, the UCLA Geomorphology Lab, focuses on the study of stress, fault, and river flows. Professor Moon mentors a diverse group of postdoctoral researchers, graduate students, and undergraduate students, many of whom collaborate with other experts in the field. Her lab's work contributes to understanding the dynamics of Earth's surface processes and their interactions with tectonic and hydrological systems.

Research topics

  • Machine Learning
  • Artificial Intelligence
  • Geomorphology
  • Computer Science
  • Geology
  • Petrology
  • Geotechnical engineering
  • Mathematics
  • Statistics
  • Geochemistry

Selected publications

  • Landslide susceptibility modeling by interpretable neural network

    Communications Earth & Environment · 2023 · 89 citations

    Abstract Landslides are notoriously difficult to predict because numerous spatially and temporally varying factors contribute to slope stability. Artificial neural networks (ANN) have been shown to improve prediction accuracy but are largely uninterpretable. Here we introduce an additive ANN optimization framework to assess landslide susceptibility, as well as dataset division and outcome interpretation techniques. We refer to our approach, which features full interpretability, high accuracy, hi…

  • Present‐Day Stress Field Influences Bedrock Fracture Openness Deep Into the Subsurface

    Geophysical Research Letters · 2020 · 47 citations

    1st authorCorresponding

    Abstract Fracturing of bedrock promotes water‐rock interactions and influences the formation of the life‐sustaining layer of soil at Earth's surface. Models predict that present‐day stress fields should influence bedrock fracture openness, but testing this prediction has proven difficult because comprehensive fracture data sets are rarely available. We model the three‐dimensional present‐day stress field beneath the deglaciated, low‐relief landscape of Forsmark, Sweden. We account for ambient re…

  • Cascading land surface hazards as a nexus in the Earth system

    Science · 2025-06-26 · 30 citations

    review

    This Review synthesizes progress and outlines a new framework for understanding how land surface hazards interact and propagate as sediment cascades across Earth's surface, influenced by interactions among the atmosphere, biosphere, hydrosphere, and solid Earth. Recent research highlights a gap in understanding these interactions on human timescales, given rapid climatic change and urban expansion into hazard-prone zones. We review how surface processes such as coseismic landslides and post-fire…

  • The grain size of sediments delivered to steep debris‐flow prone channels prior to and following wildfire

    Earth Surface Processes and Landforms · 2024-04-05 · 7 citations

    articleOpen access

    Abstract Debris flows are powered by sediment supplied from steep hillslopes where soils are often patchy and interrupted by bare‐bedrock cliffs. The role of patchy soils and cliffs in supplying sediment to channels remains unclear, particularly surrounding wildfire disturbances that heighten debris‐flow hazards by increasing sediment supply to channels. Here, we examine how variation in soil cover on hillslopes affects sediment sizes in channels surrounding the 2020 El Dorado wildfire, which bu…

  • Residence Time of Over‐Steepened Rock Masses in an Active Mountain Range

    Geophysical Research Letters · 2022-04-11 · 7 citations

    articleOpen accessCorresponding

    Abstract In uplifting mountains, hillslopes steepen toward a threshold angle set by substrate material strength. Hillslopes beyond the threshold angle, referred to as excess topography, are mechanically unstable. The residence time scale of rock masses in excess topography ( T ex ) is critical for understanding time scales of surface processes and landscape evolution in steep mountains. However, T ex remains loosely constrained for varying slopes and lithologies. Here, we calculate T ex in the e…

Recent grants

Frequent coauthors

  • Nathan D. Brown

    58 shared
  • Edward J. Rhodes

    37 shared
  • Sourav Saha

    31 shared
  • Katherine M. Scharer

    Earthquake Science Center

    26 shared
  • G. E. Hilley

    Stanford University

    22 shared
  • Gen Li

    University of California, Santa Barbara

    22 shared
  • Marina O. Argueta

    Planetary Science Institute

    20 shared
  • Bryan Castillo

    19 shared

Labs

Education

  • Ph.D., Geological and Environmental Sciences

    Stanford University

    2013
  • M.S., Earth System

    Seoul National University

    2007
  • B.S., Earth System

    Seoul National University

    2005

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