Work Description

Title: A numerical study of SMART Cables potential in marine hazard early warning for the Sumatra and Java regions Open Access Deposited

h
Attribute Value
Methodology
  • Nominal subsea cables are interpolated to 1 degree spacing.
Description
  • We carry out a set of exploratory numerical experiments based on ocean bottom pressure and seismic data from a simulated linear array of SMART (Scientific Monitoring And Reliable Telecommunication) cable stations off the trench in the Sumatra-Java region. We use a set of earthquake rupture as well as submarine landslide scenarios to calculate tsunami propagation via hydrodynamic simulations. We also investigate the contribution of SMART stations to improvement of earthquake early warning by calculating the arrival times of seismic phases. Existing telecom cables can also contribute to the SMART network, if they are equipped with scientific sensors and repeaters. In this study we use the MOST (Method of Splitting Tsunami; Titov et al, 2016) to simulate tsunamis, and the TauP toolkit (Crotwell et al, 1999) to calculate seismic arrival times. This study was supported by grants from National Science Foundation (PREEVENTS geosciences directorate No. 1663769) and NASA JPL (Award NNN13D462T). - Crotwell, H.P., Owens, T.J. and Ritsema, J., 1999. The TauP Toolkit: Flexible seismic travel-time and ray-path utilities. Seismological Research Letters, 70(2), pp.154-160. Titov, V., Kânoğlu, U. and Synolakis, C.E., 2016, Development of MOST for real-time tsunami forecasting. J Waterw Port Coast Ocean Eng 142:03116004-1–03116004-16
Creator
Depositor
  • salaree@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
  • National Science Foundation (NSF)
Other Funding agency
  • NASA (JPL)
Keyword
Resource type
Last modified
  • 11/21/2022
Published
  • 04/22/2021
DOI
  • https://doi.org/10.7302/0jmy-pa60
License
To Cite this Work:
Amir Salaree. (2021). A numerical study of SMART Cables potential in marine hazard early warning for the Sumatra and Java regions [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/0jmy-pa60

Relationships

This work is not a member of any user collections.

Files (Count: 4; Size: 59.3 MB)

################################################################
########### Global map of subsea telecommunication cables ######
################################################################

## A. INCLUDED ITEMS:

1. subsea_telecom_cables.dat
Geographic coordinates of nominal locations of subsea
telecom cables. This is a two-column ASCII file with
(longitude,latitude) pairs, for all cable segments.
The file is readable with most mapping programs such
as GMT (Generic Mapping Tools; Wessel et al, 2013).
'>' lines separate cable segments and branches.

2. subsea_telecom_cables.mp4
The movie shows global distribution of subsea telecom
cables, interpolated to 1 degree. The map is color-coded
according to population (NASA-SEDAC); scale bar shows
population per square km. Visualization is done using GMT.

3. SMART.xy
Geographic coordinates of our proposed SMART* array.

4. README.txt
Description of contents (this file).

* SMART (Scientific Monitoring And Reliable Telecommunications)
networks are telecommunication cables equipped with scientific
sensors such as accelerometer, pressure sensors, etc.

## B. DESCRIPTION:

This material accompanies a set of exploratory numerical experiments based
on ocean bottom pressure and seismic data from a simulated linear array
of SMART (Scientific Monitoring And Reliable Telecommunication) cable
stations off the trench in the Sumatra-Java region. We use a set of
earthquake rupture as well as submarine landslide scenarios to calculate
tsunami propagation via hydrodynamic simulations. We also investigate the
contribution of SMART stations to improvement of earthquake early warning
by calculating the arrival times of seismic phases. Existing telecom cables
can also contribute to the SMART network, if they are equipped with scientific
sensors and repeaters. In this study we use the MOST (Method of Splitting
Tsunami; Titov et al, 2016) to simulate tsunamis, and the TauP toolkit
(Crotwell et al, 1999) to calculate seismic arrival times.

## C. REFERENCE:

- Crotwell, H.P., Owens, T.J. and Ritsema, J., 1999. The TauP Toolkit:
Flexible seismic travel-time and ray-path utilities. Seismol. Res. Lett.,
70(2), pp.154-160, https://doi.org/10.1785/gssrl.70.2.154

- NASA-SEDAC, 2018. Documentation for the Gridded Population of the
World, version 4 (GPWv4), Revision 11 Data Sets, Palisades NY: NASA
Socioeconomic Data and Applications Center (SEDAC),
https://sedac.ciesin.columbia.edu/data/collection/gpw-v4/documentation,
accessed 02 Dec 2020.

- Titov, V., Kânoğlu, U. and Synolakis, C.E., 2016, Development of MOST
for real-time tsunami forecasting. J Waterw Port Coast Ocean Eng
142:03116004-1–03116004-16, https://doi.org/10.1061/(ASCE)WW.1943-5460.0000357

- Wessel, P., Smith, W.H., Scharroo, R., Luis, J. and Wobbe, F., 2013.
Generic Mapping Tools: Improved version released. Eos, Transactions
American Geophysical Union, 94(45), pp.409-410,
https://doi.org/10.1002/2013EO450001

## D. FUNDING

This study was supported by grants from National Science Foundation
(PREEVENTS geosciences directorate No. 1663769) and NASA JPL (Award NNN13D462T).

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.