hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring
Clicks: 150
ID: 224371
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
150 views
16 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #96 of 190 articles by views in anziam journal
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 190 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The Volcán de Colima, one of the most active volcanoes in Mexico, is
commonly affected by tropical rains related to hurricanes that form over the
Pacific Ocean. In 2011, 2013 and 2015 hurricanes Jova, Manuel and Patricia,
respectively, triggered tropical storms that deposited up to 400 mm of rain in
36 h, with maximum intensities of 50 mm h −1. The effects were devastating, with
the formation of multiple lahars along La Lumbre and Montegrande ravines,
which are the most active channels in sediment delivery on the south-southwest flank of
the volcano. Deep erosion along the river channels and several marginal
landslides were observed, and the arrival of block-rich flow fronts resulted
in damages to bridges and paved roads in the distal reaches of the ravines.
The temporal sequence of these flow events is reconstructed and analyzed
using monitoring data (including video images, seismic records and rainfall
data) with respect to the rainfall characteristics and the hydrologic
response of the watersheds based on rainfall-runoff numerical simulation. For
the studied events, lahars occurred 5–6 h after the onset of rainfall,
lasted several hours and were characterized by several pulses with block-rich
fronts and a maximum flow discharge of 900 m3 s −1. Rainfall-runoff
simulations were performer using the SCS-curve number and the Green–Ampt
infiltration models, providing a similar result in the detection of simulated maximum
watershed peaks discharge. Results show different behavior for the arrival
times of the first lahar pulses that correlate with the simulated catchment's
peak discharge for La Lumbre ravine and with the peaks in rainfall intensity
for Montegrande ravine. This different behavior is related to the area and
shape of the two watersheds. Nevertheless, in all analyzed cases, the largest
lahar pulse always corresponds with the last one and correlates with the
simulated maximum peak discharge of these catchments. Data presented here
show that flow pulses within a lahar are not randomly distributed in time,
and they can be correlated with rainfall peak intensity and/or watershed
discharge, depending on the watershed area and shape. This outcome has
important implications for hazard assessment during extreme
hydro-meteorological events, as it could help in providing real-time
alerts. A theoretical rainfall distribution curve was designed for Volcán
de Colima based on the rainfall and time distribution of hurricanes Manuel and
Patricia. This can be used to run simulations using weather forecasts prior
to the actual event, in order to estimate the arrival time of main lahar
pulses, usually characterized by block-rich fronts, which are responsible for
most of the damage to infrastructure and loss of goods and lives.
| Reference Key |
capra2018naturalhydrological
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;L. Capra;V. Coviello;V. Coviello;L. Borselli;V.-H. Márquez-Ramírez;R. Arámbula-Mendoza |
| Journal | anziam journal |
| Year | 2018 |
| DOI |
10.5194/nhess-18-781-2018
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.