Coastline evolution based on statistical analysis and modeling

Armenio, Elvira; De Serio, Francesca; Mossa, Michele; Petrillo, Antonio F.

doi:https://doi.org/10.5194/nhess-19-1937-2019

Articles | Volume 19, issue 9

https://doi.org/10.5194/nhess-19-1937-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-1937-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 9

Research article

|

02 Sep 2019

Research article |

| 02 Sep 2019

Coastline evolution based on statistical analysis and modeling

Elvira Armenio, Francesca De Serio, Michele Mossa, and Antonio F. Petrillo

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Final revised paper (published on 02 Sep 2019)
Preprint (discussion started on 30 Aug 2018)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Comments on "Coastline evolution based on statistical analysis and modelling"', Matteo Postacchini, 04 Jan 2019
- AC1: 'Reply', Elvira Armenio, 12 Jan 2019
RC1: 'Coastline evolution based on statistical analysis and modelling', Anonymous Referee #1, 22 Jan 2019
- AC2: 'Reply to RC1', Elvira Armenio, 09 Feb 2019
RC2: 'Review of nhess-2018-239', Anonymous Referee #2, 09 Jul 2019
- AC3: 'Reply to RC2', Elvira Armenio, 06 Aug 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (08 Aug 2019) by Thomas Glade

AR by Elvira Armenio on behalf of the Authors (09 Aug 2019) Author's response Manuscript

ED: Publish as is (12 Aug 2019) by Thomas Glade

AR by Elvira Armenio on behalf of the Authors (13 Aug 2019)

Short summary

The present study describes an approach for the assessment of beach accretion–erosion, based on the joint use of data analysis, statistical methods and one-line numerical modeling. A chain method is proposed, based on the joint analysis of field data, statistical tools and numerical modeling. The coastline morphology has been examined through interannual field data, such as aerial photographs, plane-bathymetric surveys and seabed characterization.