|   | 
Details
   web
Records
Author Marion Lara Tan; Sara Harrison; Julia S. Becker; Emma E.H. Doyle; Raj Prasanna
Title Research Themes on Warnings in Information Systems Crisis Management Literature Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 1085-1099
Keywords Early Warnings Systems, Literature Review, Ethics, Social Media.
Abstract Early Warning Systems (EWS) are crucial to mitigating and reducing disaster impacts. Furthermore, technology and information systems (IS) are key to the success of EWSs. This systematic literature review investigates the research topics and themes from the past six years of Information Systems for Crisis Response and Management (ISCRAM) conference proceedings and seeks to identify the research developments and directions for EWSs to steer a discourse to advance the research in this field. Findings from a sample size of 60 papers show that there are technical, social, and topical considerations to using and advancing technology for EWSs. While technology has advanced EWSs to new levels, it is important to consider the influence of technology in the successful operation of EWSs. The results are based on the ISCRAM proceedings literature and may be broader or have different prioritization if a wider disciplinary body of literature was explored. This will be considered in the future.
Address Massey University; Massey University; Massey University; Massey University; Massey University
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-98 ISBN 2411-3484 Medium
Track Visions for Future Crisis Management Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes M.L.Tan@massey.ac.nz Approved no
Call Number Serial 2299
Share this record to Facebook
 

 
Author Chanthujan Chandrakumar; Raj Prasanna; Max Stephens; Marion Lara Tan; Caroline Holden; Amal Punchihewa; Julia S. Becker; Seokho Jeong; Danuka Ravishan
Title Algorithms for Detecting P-Waves and Earthquake Magnitude Estimation: Initial Literature Review Findings Type Conference Article
Year 2023 Publication Proceedings of the ISCRAM Asia Pacific Conference 2022 Abbreviated Journal Proc. ISCRAM AP 2022
Volume Issue Pages 138-155
Keywords Earthquake Early Warning; P-Waves; Magnitude Estimation; EEW Algorithms
Abstract Earthquake Early Warning System (EEWS) plays a major role during an earthquake in alerting the public and authorities to take appropriate safety measures during an earthquake. Generally, EEWSs use three types of algorithms to generate alerts during an earthquake; namely: source-based, ground motion or wavefield-based and on-site-based approaches. However, source-based algorithms are commonly used in most of EEWSs worldwide. A source-based EEWS uses a particular time frame of the P-wave of an earthquake to estimate the source parameters such as magnitude and the location of that earthquake with the support of P-wave detection and earthquake magnitude and location estimation algorithms. As the initial step of a research project which aims to explore the best use of P-waves to generate earthquake alerts, this Work in Progress paper (WiPe) presents the initial partial findings from an ongoing literature review on exploring the algorithms used for P-wave detection and earthquake magnitude estimation.
Address Massey University; Massey University; University of Auckland; Massey University; SeismoCity; ADP Consultancy; Massey University; Changwon National University; Synopsys
Corporate Author Thesis
Publisher Massey Unversity Place of Publication Palmerston North, New Zealand Editor Thomas J. Huggins, V.L.
Language English Summary Language Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Building Disaster Resilience Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2488
Share this record to Facebook