<sup>GA</sup><i>SAKe</i>: forecasting landslide activations by a genetic-algorithms-based hydrological model

Terranova, O. G.; Gariano, S. L.; Iaquinta, P.; Iovine, G. G. R.

doi:https://doi.org/10.5194/gmd-8-1955-2015

Articles | Volume 8, issue 7

https://doi.org/10.5194/gmd-8-1955-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-1955-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 7

Methods for assessment of models

|

07 Jul 2015

Methods for assessment of models |

| 07 Jul 2015

^GASAKe: forecasting landslide activations by a genetic-algorithms-based hydrological model

O. G. Terranova, S. L. Gariano, P. Iaquinta, and G. G. R. Iovine

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Final revised paper (published on 07 Jul 2015)
Preprint (discussion started on 11 Feb 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC C250: 'Exec Editor Comments', Dan Lunt, 26 Mar 2015
- AC C279: 'Reply to Executive Editor Comment', Stefano Luigi Gariano, 27 Mar 2015
RC C361: 'Minor Revisions', Anonymous Referee #1, 03 Apr 2015
- AC C479: 'Reply to Anonymous Referee #1', Stefano Luigi Gariano, 20 Apr 2015
RC C511: 'Minor revision', Anonymous Referee #2, 22 Apr 2015
- AC C585: 'Reply to Anonymous Referee #2', Stefano Luigi Gariano, 30 Apr 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Stefano Luigi Gariano on behalf of the Authors (30 Apr 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 May 2015) by Jeffrey Neal

RR by Jeffrey Neal (08 May 2015)

RR by Anonymous Referee #2 (24 May 2015)

ED: Publish subject to minor revisions (Editor review) (25 May 2015) by Jeffrey Neal

AR by Stefano Luigi Gariano on behalf of the Authors (28 May 2015) Author's response Manuscript

ED: Publish as is (02 Jun 2015) by Jeffrey Neal

AR by Stefano Luigi Gariano on behalf of the Authors (03 Jun 2015)

Short summary

A model for predicting the timing of activation of rainfall-induced landslides is presented. Calibration against real events is based on genetic algorithms, and provides a family of optimal solutions (kernels) that maximize a fitness function. Accordingly, a set of mobility functions is obtained through convolution with rainfall. Once properly validated, the model allows one to estimate future landslide activations in the same study area, by employing either recorded or forecasted rainfall.