The Disaster Data Dilemma [Earth sciences artificial intelligence]

Access Full Text

The Disaster Data Dilemma [Earth sciences artificial intelligence]

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Engineering & Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Published

The paper begins by looking at the 2011 Japanese tsunami and the role of modelling in forecasting how high tsunami waves can be. It goes on to discuss the role of various data sets in forecasting natural disasters in general, and the use of artificial intelligence/machine learning in modelling.

Inspec keywords: geophysics computing; geophysical techniques; tsunami; disasters; learning (artificial intelligence)

Other keywords: Earth science modelling; machine learning; natural disasters; Pacific Ocean; Japanese tsunami; artificial intelligence; AD 2011 03 11; Japan; forecasting

Subjects: Data and information; acquisition, processing, storage and dissemination in geophysics; Other topics in hydrospheric and atmospheric physics; Machine learning (artificial intelligence); Tsunami; Geophysics computing; Other topics in solid Earth physics; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research

http://iet.metastore.ingenta.com/content/journals/10.1049/et.2021.0308
Loading

Related content

content/journals/10.1049/et.2021.0308
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading