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Article

Developing Real-Time Nowcasting System for Regional Landslide Hazard Assessment under Extreme Rainfall Events

1
National Center for Research on Earthquake Engineering, Taipei 106219, Taiwan
2
Department of Civil Engineering, National Central University, Taoyuan 320317, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Samuele Segoni
Water 2021, 13(5), 732; https://doi.org/10.3390/w13050732
Received: 31 December 2020 / Revised: 3 March 2021 / Accepted: 4 March 2021 / Published: 8 March 2021
(This article belongs to the Special Issue Rainfall-Induced Shallow Landslides Modeling and Warning)
In this research, a real-time nowcasting system for regional landslide-hazard assessment under extreme-rainfall conditions was established by integrating a real-time rainfall data retrieving system, a landslide-susceptibility analysis program (TRISHAL), and a real-time display system to show the stability of regional slopes in real time and provide an alert index under rainstorm conditions for disaster prevention and mitigation. The regional hydrogeological parameters were calibrated using a reverse-optimization analysis based on an RGA (Real-coded Genetic Algorithm) of the optimization techniques and an improved version of the TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope-Stability) model. The 2009 landslide event in the Xiaolin area of Taiwan, associated with Typhoon Morakot, was used to test the real-time regional landslide-susceptibility system. The system-testing results showed that the system configuration was feasible for practical applications concerning disaster prevention and mitigation. View Full-Text
Keywords: real-time nowcasting system; TRIGRS; optimization; Xiaolin village; landslide real-time nowcasting system; TRIGRS; optimization; Xiaolin village; landslide
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MDPI and ACS Style

Deng, Y.-C.; Hwang, J.-H.; Lyu, Y.-D. Developing Real-Time Nowcasting System for Regional Landslide Hazard Assessment under Extreme Rainfall Events. Water 2021, 13, 732. https://doi.org/10.3390/w13050732

AMA Style

Deng Y-C, Hwang J-H, Lyu Y-D. Developing Real-Time Nowcasting System for Regional Landslide Hazard Assessment under Extreme Rainfall Events. Water. 2021; 13(5):732. https://doi.org/10.3390/w13050732

Chicago/Turabian Style

Deng, Yuan-Chang, Jin-Hung Hwang, and Yu-Da Lyu. 2021. "Developing Real-Time Nowcasting System for Regional Landslide Hazard Assessment under Extreme Rainfall Events" Water 13, no. 5: 732. https://doi.org/10.3390/w13050732

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