Effect of antecedent rainfall conditions and their variations on shallow landslide-triggering rainfall thresholds in South Korea

SW Kim, KW Chun, M Kim, F Catani, B Choi, JI Seo - Landslides, 2021 - Springer
The intensity-duration (ID) threshold is considered an effective indicator for landslides
triggered by short-term high-intensity rainfall and long-term low-intensity rainfall. However …

[HTML][HTML] Landslide assessment classification using deep neural networks based on climate and geospatial data

Y Tynchenko, V Kukartsev, V Tynchenko, O Kukartseva… - Sustainability, 2024 - mdpi.com
This study presents a method for classifying landslide triggers and sizes using climate and
geospatial data. The landslide data were sourced from the Global Landslide Catalog (GLC) …

Assessment of critical rainfall scenarios for slope stability analyses based on historical rainfall records in Singapore

Y Kim, H Rahardjo, MM Nistor, A Satyanaga… - Environmental Earth …, 2022 - Springer
Rainfall-induced slope failure occurs in many countries including Singapore where slopes
are mostly covered with residual soils. Although the significance and impact of rainfall …

Forecasting of landslides using rainfall severity and soil wetness: A probabilistic approach for Darjeeling Himalayas

MT Abraham, N Satyam, B Pradhan, AM Alamri - Water, 2020 - mdpi.com
Rainfall induced landslides are creating havoc in hilly areas and have become an important
concern for the stakeholders and public. Many approaches have been proposed to derive …

The effects of different geological conditions on landslide-triggering rainfall conditions in South Korea

JU Lee, YC Cho, M Kim, SJ Jang, J Lee, S Kim - Water, 2022 - mdpi.com
How landslide-triggering rainfall conditions vary with geology is unclear. The effects of three
different geological conditions (gneiss, GN; granite, GR; sedimentary rock, SR) on variations …

[HTML][HTML] On disasters evacuation modeling: From disruptive to slow-response decisions

M Favereau, LF Robledo, D Villalobos… - International Journal of …, 2022 - Elsevier
Decision-making evacuation modeling for natural hazards has always been complex due to
the uncertainty of variables affecting it. One of the most relevant existing assumptions for this …

A comparison of current trends in soil erosion research using keyword co-occurrence analysis

YH Lim, SW Kim, S Nam, KW Chun… - Korean Journal of …, 2020 - koreascience.kr
Environmental policies and industry practices have recently seen a gradual paradigm shift
from reactive management to proactive prevention of environmental impacts. Accordingly …

Development and applications of slope and river monitoring system using low-power wide-area network technology

A Hafidz, N Kinoshita, H Yasuhara… - Journal of Civil Structural …, 2023 - Springer
The increase in heavy rainfall events has contributed to the increase in floods and slope
failures. These natural disasters can lead to severe loss of human lives. Monitoring and …

[HTML][HTML] A Bayesian Network-Based Inhibition Model of the Rainstorm–Landslide–Debris Flow Disaster Chain in Mountainous Areas: The Case of the Greater Bay …

P Xiao, T Wang, Y Tian, X Xie, J You, X Tan, H Chen - Water, 2023 - mdpi.com
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm–
landslide–debris flow (RLD) disaster chain in the mountainous area of the Greater Bay Area …

Landslide risk on photovoltaic power stations under climate change

CY Park, MG Cho, C Park, HG Kim - Geomatics, Natural Hazards …, 2024 - Taylor & Francis
To achieve the net-zero carbon dioxide emission goals, the number of solar photovoltaic
(PV) power stations (PPSs) installed worldwide has increased. An increasing number of …