Journal
SCIENCE ADVANCES
Volume 9, Issue 18, Pages -Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.add2932
Keywords
-
Categories
Ask authors/readers for more resources
Surface-rupturing earthquakes can cause sudden changes in rivers by displacing faults. Although there have been several documented cases of fault rupture-induced river avulsions (FIRAs), the factors influencing these phenomena have not been thoroughly studied. In this study, a case study from the 2016 Kaikoura earthquake in New Zealand was used to model the coseismic avulsion of a major braided river that experienced a -7m vertical and -4m horizontal offset. The results show that a simple two-dimensional hydrodynamic model can accurately reproduce the avulsion characteristics. This research highlights the importance of considering fault deformation in flood hazard models to properly assess the extent and severity of inundation following large earthquakes.
Surface-rupturing earthquakes can produce fault displacements that abruptly alter the established course of rivers. Several notable examples of fault rupture-induced river avulsions (FIRAs) have been documented, yet the factors influencing these phenomena have not been examined in detail. Here, we use a recent case study from New Zealand's 2016 Kaikoura earthquake to model the coseismic avulsion of a major braided river sub-jected to-7-m vertical and-4-m horizontal offset. We demonstrate that the salient characteristics of the avul-sion can be reproduced with high accuracy by running a simple two-dimensional hydrodynamic model on synthetic (pre-earthquake) and real (post-earthquake) deformed lidar datasets. With adequate hydraulic inputs, deterministic and probabilistic hazard models can be precompiled for fault-river intersections to improve multihazard planning. Flood hazard models that ignore present and potential future fault deformation may underestimate the extent, frequency, and severity of inundation following large earthquakes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available