Surface Ruptures Associated with the 2016 Kumamoto Earthquake Sequence in Southwest Japan Surface Ruptures Associated with the 2016 Kumamoto Earthquake Sequence in Southwest Japan
Advances in Geological Science

Surface Ruptures Associated with the 2016 Kumamoto Earthquake Sequence in Southwest Japan

Yasuhiro Kumahara and Others
    • €149.99
    • €149.99

Publisher Description

In April 2016, a series of earthquakes hit the Kumamoto area of Kyushu Island, southwest Japan. The Mj 7.3 (Mw 7.0) mainshock produced extensive and complex surface ruptures in and around the active Futagawa-Hinagu fault zone, including primary right-lateral faulting, slip-partitioned normal faulting, and distributed and triggered surface breaks, as well as minor surface ruptures associated with the foreshocks of up to Mj 6.5 (Mw 6.2). This book provides a complete record of those surface ruptures mapped by a team of more than 25 researchers from Japanese universities and research institutes. The locations, traces, morphology, and displacement are described in great detail along with over 300 on-site photographs, and the information is supplemented by the GIS data available online. The book is useful for a wide range of earthquake scientists and engineers who work on active faults and related seismic hazard assessment, including earthquake geologists, tectonic geomorphologists, seismologists, geodesists, civil engineers, and city planners.

GENRE
Science & Nature
RELEASED
2022
6 August
LANGUAGE
EN
English
LENGTH
249
Pages
PUBLISHER
Springer Nature Singapore
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
739.4
MB
Challenges in Geothermal Development Challenges in Geothermal Development
2026
Advanced Methods of Joint Inversion and Fusion of Multiphysics Data Advanced Methods of Joint Inversion and Fusion of Multiphysics Data
2023
Groundwater Radon in the Taiwan Subduction Zone Groundwater Radon in the Taiwan Subduction Zone
2023
High-Pressure Silicates and Oxides High-Pressure Silicates and Oxides
2022
Geochemical Mechanics and Deep Neural Network Modeling Geochemical Mechanics and Deep Neural Network Modeling
2022
Ground Motion Seismology Ground Motion Seismology
2021