[HTML][HTML] Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

AL Balogun, F Rezaie, QB Pham, L Gigović… - Geoscience …, 2021 - Elsevier
In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …

Fatal landslides in China from 1940 to 2020: Occurrences and vulnerabilities

S Zhang, C Li, J Peng, Y Zhou, S Wang, Y Chen… - Landslides, 2023 - Springer
Landslides result in severe casualties every year in China. However, few historical fatal
landslide databases are available for quantitatively assessing the temporal and spatial …

[HTML][HTML] National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

Q Lin, P Lima, S Steger, T Glade, T Jiang, J Zhang… - Geoscience …, 2021 - Elsevier
China is one of the countries where landslides caused the most fatalities in the last decades.
The threat that landslide disasters pose to people might even be greater in the future, due to …

Spatial and temporal analysis of a fatal landslide inventory in China from 1950 to 2016

Q Lin, Y Wang - Landslides, 2018 - Springer
Landslides result in severe casualties every year in China. However, there are few historical
fatal landslide catalogs available to quantitatively assess the impact as well as the temporal …

[图书][B] Landslide risk assessment

EM Lee, DKC Jones - 2023 - icevirtuallibrary.com
See also specific Asian countries asphyxiation, 287–288 Assam (India) earthquake, 39
assets fixed, 81, 82, 254, 255f, 264 Hong Kong example, 118 market value, 337–339, 338t …

Landslide susceptibility mapping on a global scale using the method of logistic regression

L Lin, Q Lin, Y Wang - Natural Hazards and Earth System …, 2017 - nhess.copernicus.org
This paper proposes a statistical model for mapping global landslide susceptibility based on
logistic regression. After investigating explanatory factors for landslides in the existing …

Human vulnerability to landslides

W Pollock, J Wartman - GeoHealth, 2020 - Wiley Online Library
Landslides pose a devastating threat to human health, killing thousands of people annually.
Human vulnerability is a crucial element of landslide risk reduction, yet up until now, all …

Machine learning-based evaluation of susceptibility to geological hazards in the Hengduan mountains region, China

J Zhao, Q Zhang, D Wang, W Wu, R Yuan - International Journal of …, 2022 - Springer
Abstract The Hengduan Mountains Region (HMR) is one of the areas that experience the
most frequent geological hazards in China. However, few reports are available that address …

The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: A case study of Anhui Province in China

C Wang, Q Lin, L Wang, T Jiang, B Su, Y Wang… - Natural Hazards, 2022 - Springer
Landslide susceptibility assessment is crucial to the development of appropriate strategies
to mitigate the risk of landslide fatalities and economic losses. The selection of spatial extent …

Spatial landslide risk assessment at Phuentsholing, Bhutan

A Dikshit, R Sarkar, B Pradhan, S Acharya, AM Alamri - Geosciences, 2020 - mdpi.com
Landslides are one of the most destructive and most recurring natural calamities in the
Himalayan region. Their occurrence leads to immense damage to infrastructure and loss of …