Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures

Hasanzadeh Nafari, Roozbeh; Amadio, Mattia; Ngo, Tuan; Mysiak, Jaroslav

doi:https://doi.org/10.5194/nhess-17-1047-2017

Articles | Volume 17, issue 7

https://doi.org/10.5194/nhess-17-1047-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-1047-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 7

Research article

|

06 Jul 2017

Research article |

| 06 Jul 2017

Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures

Roozbeh Hasanzadeh Nafari, Mattia Amadio, Tuan Ngo, and Jaroslav Mysiak

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Final revised paper (published on 06 Jul 2017)
Preprint (discussion started on 06 Mar 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review on „Flood loss modelling with FLF-IT: A new Flood Loss Function for Italian residential structures“', Anonymous Referee #1, 04 Apr 2017
- AC1: 'Response to Reviewer 1', Roozbeh Hasanzadeh Nafari, 03 May 2017
RC2: 'Flood loss modelling with FLF-IT: A new Flood Loss Function for Italian residential structures by Roozbeh Hasanzadeh Nafari et al.', Anonymous Referee #2, 10 Apr 2017
- AC2: 'Response to Reviewer 2', Roozbeh Hasanzadeh Nafari, 03 May 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (04 May 2017) by Sven Fuchs

AR by Roozbeh Hasanzadeh Nafari on behalf of the Authors (06 May 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 May 2017) by Sven Fuchs

RR by Anonymous Referee #2 (19 May 2017)

RR by Viktor Rözer (22 May 2017)

Suggestions for revision or reasons for rejection

General comments:
The revised version of the manuscript significantly improved compared to the previous version. The methodology as well as the data set is now explicitly described and splitting the model calibration in validation in two chapters makes it easier for the reader to follow the study design. Therefore, I would recommend accepting the manuscript for publication after the following minor corrections:

P. 5 L1-3: It is unclear why the authors in a first step use geo-referencing to transfer the address into a point coordinate to visually inspect if the address is within the building footprint. As a person not familiar with the Italian house number system, I would assume that every damage entry for an address (incl. house number) also belongs to a particular building. Please provide reasons for your approach.

P6 L10-20, P.7 L21-26: According to P.7 L22-25 the authors are using a 3-fold cross validation, where for each of the three iterations two thirds of the data is used for calibration and one third is used for validation. However, reading the previous chapter P.6 L10-20, one could think that the full 613 observations are used for calibration. I would recommend mentioning the data splitting procedure in P.6 and that in fact three models are calibrated with the three different data sets. It is also not 100% clear to me, if the bootstrap approach described on P. 6, is performed before or after splitting the dataset for cross validation.

Technical Corrections:
Abstract L1: amount in million Euros instead of dollars
P. 3 L26: 2.5 thousand to 25,000
P. 9 L17 -22: can be "made" instead of "found". Shorter sentences
P. 10 L15: “maximum damage as a percentage and the starting elevation for damage”: please specify percentage of …; please clarify “starting elevation damage”
Fig 5 and 6: Class limits of third class are probably wrong 14-60 should probably 41-60

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ED: Publish subject to minor revisions (further review by Editor) (24 May 2017) by Sven Fuchs

AR by Roozbeh Hasanzadeh Nafari on behalf of the Authors (28 May 2017) Author's response Manuscript

ED: Publish as is (02 Jun 2017) by Sven Fuchs

Short summary

Floods are frequent natural hazards in Italy, triggering significant adverse consequences on the economy every year. Their impact is expected to worsen in the near future due to socio-economic development and climate variability. To be able to reduce the probability and magnitude of expected economic losses, flood risk managers need to be correctly informed about the potential damage from flood hazards. In this study, we have developed a new and accurate model for Italian residential buildings.