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Volume 17, issue 12 | Copyright

Special issue: Landslide early warning systems: monitoring systems, rainfall...

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

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
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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
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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...
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