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Open AccessArticle

Peer-Review Record

Uncertainty Assessment of Climate Change Adaptation Options Using an Economic Pluvial Flood Risk Framework

Reviewer 1: Anonymous
Reviewer 2: Anonymous
Water 2018, 10(12), 1877;
Received: 30 October 2018 / Revised: 13 December 2018 / Accepted: 14 December 2018 / Published: 19 December 2018
(This article belongs to the Special Issue Recent Advances in the Assessment of Current and Future Flood Risk)

Round  1

Reviewer 1 Report

Flood risk assessments aim to estimate current flood risk or projected changes in flood risk due to certain (future) developments. However, estimates on both the magnitude of a flood event and estimates of its corresponding consequences are inherently uncertain. Knowledge of the magnitude and source of these uncertainties helps to improve assessments and leads to better informed decisions. In this context, this research is of value for contributing to flood risk management topic. The paper is well written and scientifically sound.

The paper presents an uncertainty and sensitivity assessment of pluvial flood risk in a case study in Denmark.  In this study, a Monte Carlo framework is used that combines climate change scenarios, hydraulic boundary conditions, an inundation model, and a damage model.

Regarding the overall value of the paper, I think that the paper still needs some additional efforts to improve the presentation of the procedure adopted and the obtained results.

In particular, the section 2 needs a more detailed description of the described components. The required data and source of these data should be clearly defined. The boundary and initial conditions of hydrological and hydraulic model defined. The spatio-temporal resolution justified. The stage-damage functions and unit costs listed and defined.

Moreover, the advancements of the study respect to state-of-art is completely missed; a poor list of bibliographic works is made and  it is not explained how the work presented is relative to them. I suggest to consider for example the following works:

- Roland Löwead, et al.,  Assessment of urban pluvial flood risk and efficiency of adaptation options through simulations – A new generation of urban planning tools Journal of Hydrology

Volume 550, July 2017, Pages 355-367

- Freni, G. et al., Uncertainty in urban flood damage assessment due to urban drainage modelling and depth-damage curve estimation, Water Sci Technol (2010) 61 (12): 2979-2993.

- Albano, R., et al.,  2018, Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy, International Journal of Applied Earth Observation and Geoinformation, Volume 73, pp. 220-229

I suggest to compare methods and obtain results with the one achieved in the proposed paper.

Moreover, I think a calibration and validation of the proposed methodology could be really important in justified the obtained results. For example check the following paper:

- Inam, et al., 2017. Parameter estimation and uncertainty analysis of Spatial Agro Hydro Salinity Model (SAHYSMOD) in semi-arid climate of Rechna Doab, Pakistan, Environmental Modelling & Software, Pages 186–211

Author Response

we have addressed the comments point by point in the enclosed file.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear authors,

Please read the comments from the attached file.

Best regards,

Your reviewer

Comments for author File: Comments.pdf

Author Response

we have responded point by point in the attached document. We appreciate the care in checking for consistency between figures and text.

Author Response File: Author Response.pdf

Round  2

Reviewer 1 Report

Regarding specifically the reviews, the authors have addressed most part of the Referee comments. Some  limitations of the paper still remain but the authors have well justified them and, surely, future researches need to be done on these important aspects.Therefore I think that the paper is now in a suitable form for publication

Author Response

Thank you for doing the review.

Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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