An integrated methodology to develop a standard for landslide early warning
systems

Fathani, Teuku Faisal; Karnawati, Dwikorita; Wilopo, Wahyu

doi:https://doi.org/10.5194/nhess-16-2123-2016

Articles | Volume 16, issue 9

https://doi.org/10.5194/nhess-16-2123-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-2123-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 9

Research article

|

14 Sep 2016

Research article |

| 14 Sep 2016

An integrated methodology to develop a standard for landslide early warning systems

Teuku Faisal Fathani, Dwikorita Karnawati, and Wahyu Wilopo

Download

Final revised paper (published on 14 Sep 2016)
Preprint (discussion started on 17 Jun 2016)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 21 Jun 2016
- AC1: 'Response to RC1 on manuscript: "An integrated methodology to develop a standard for landslide early warning system"', Teuku Faisal Fathani, 26 Jun 2016
RC2: 'Review Landslide EWS Indonesia', Kate Crowley, 30 Jun 2016
- AC2: 'Response to Kate Crowley on manuscript: "An integrated methodology to develop a standard for landslide early warning system"', Teuku Faisal Fathani, 01 Jul 2016

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (01 Jul 2016) by Thomas Glade

AR by Teuku Faisal Fathani on behalf of the Authors (15 Jul 2016) Author's response Manuscript

ED: Publish as is (18 Aug 2016) by Thomas Glade

Short summary

The Sendai Framework for DRR declared that resilience is obtained through disaster prevention and risk reduction, with priority actions being risk assessment and early warning systems (EWSs). A universal standard for landslide EWSs was composed by considering the limitations of local communities, to provide guidance in conducting landslide detection, prediction, interpretation, and response. This paper details its application in Central Java, one of 20 landslide-prone provinces in Indonesia.