Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Nat. Hazards Earth Syst. Sci., 17, 2213-2227, 2017
https://doi.org/10.5194/nhess-17-2213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
08 Dec 2017
Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides
Roberto Greco and Luca Pagano
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Referee Comment', Anonymous Referee #1, 29 Aug 2017 Printer-friendly Version Supplement 
AC1: 'Author reply', Luca Pagano, 08 Sep 2017 Printer-friendly Version Supplement 
 
RC2: 'Referee Comments', Anonymous Referee #2, 02 Sep 2017 Printer-friendly Version 
AC2: 'Author reply', Luca Pagano, 08 Sep 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (21 Sep 2017) by Stefano Luigi Gariano  
AR by Luca Pagano on behalf of the Authors (30 Oct 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (03 Nov 2017) by Stefano Luigi Gariano
RR by Anonymous Referee #1 (07 Nov 2017)  
RR by Anonymous Referee #2 (14 Nov 2017)  
ED: Publish subject to minor revisions (review by editor) (14 Nov 2017) by Stefano Luigi Gariano  
AR by Luca Pagano on behalf of the Authors (17 Nov 2017)  Author's response  Manuscript
ED: Publish subject to technical corrections (23 Nov 2017) by Stefano Luigi Gariano  
AR by Luca Pagano on behalf of the Authors (23 Nov 2017)  Author's response  Manuscript
CC BY 4.0
Publications Copernicus
Download
Short summary
The paper focuses on the main features characterizing predictive models working in early warning systems (EWS), by discussing their aims, the evolution stage of the phenomenon where they should be incardinated, and their architecture, regardless of the specific application field. With reference to flow-like landslide and earth flows, some alternative approaches to the development of the predictive tool and to its implementation in an EWS are described.
The paper focuses on the main features characterizing predictive models working in early warning...
Share