A risk-based network analysis of distributed in-stream  leaky barriers for flood risk management

Hankin, Barry; Hewitt, Ian; Sander, Graham; Danieli, Federico; Formetta, Giuseppe; Kamilova, Alissa; Kretzschmar, Ann; Kiradjiev, Kris; Wong, Clint; Pegler, Sam; Lamb, Rob

doi:https://doi.org/10.5194/nhess-20-2567-2020

Articles | Volume 20, issue 10

https://doi.org/10.5194/nhess-20-2567-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-2567-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 10

Research article

|

01 Oct 2020

Research article |

| 01 Oct 2020

A risk-based network analysis of distributed in-stream leaky barriers for flood risk management

Barry Hankin, Ian Hewitt, Graham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, and Rob Lamb

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Final revised paper (published on 01 Oct 2020)
Preprint (discussion started on 16 Jan 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review 2. Iteration Check of deliveries and scientific questions', Anonymous Referee #1, 23 Mar 2020
- RC2: 'Review', Paul Quinn, 27 May 2020
  - AC2: 'Response to review comments', Barry Hankin, 06 Jul 2020
- AC1: 'Response to review comments', Barry Hankin, 06 Jul 2020

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (08 Jul 2020) by Bruno Merz

Dear authors,

Thank you for the submission of your very interesting manuscript “A risk-based, network analysis of distributed in-stream leaky barriers for flood risk management”.

As you know, two reviewers have now provided reviews, which you have replied in thoughtful detail to. The reviewers come to somehow conflicting evaluations, one rather critical, the other seeing a lot of value in your work (but asking for clarification). In my view, your manuscript discusses a topic which has received little attention (in terms of modelling and quantification), so the development and provision of a simple model to understand the performance of a network of nature-based, leaky-barriers and to test many configurations at larger scales are certainly worthwhile. Therefore I would like to invite you to submit a revised version of your manuscript.

Would you please also provide an ‘author’s reply’ to the reviewers (feel free to use the same words/file that you used in what you have already uploaded). Please can you also include a track changes document between the old manuscript and the new one (you can include this as part of your ‘author’s reply’).

In terms of editor guidance on language: Personally, I do not have a preference, and the use of 'we' does not disturb me. So I leave it to you whether/to which extent you want to change this.

In addition I would like to suggest the following technical items:
(a) Please add a legend to Figures 8 and 10. It would be good to be able to understand what the size and color mean without searching in the text.
(b) NHESS usually does not use footnotes. See if you can do without.
(c) There is something wrong with the numbering of 'Code availability' and 'References'.

I look forward to seeing the next version of your manuscript which I will then send out for further review.

Best regards, Bruno Merz

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AR by Barry Hankin on behalf of the Authors (14 Jul 2020)

ED: Referee Nomination & Report Request started (29 Jul 2020) by Bruno Merz

RR by Paul Quinn (07 Aug 2020)

ED: Publish subject to technical corrections (10 Aug 2020) by Bruno Merz

AR by Barry Hankin on behalf of the Authors (14 Aug 2020) Author's response Manuscript

Short summary

With growing support for nature-based solutions to reduce flooding by local communities, government authorities and international organisations, it is still important to improve how we assess risk reduction. We demonstrate an efficient, simplified 1D network model that allows us to explore the whole-system response of numerous leaky barriers placed in different stream networks, whilst considering utilisation, synchronisation effects and cascade failure, and we provide advice on their siting.