Post-Flood Resilience Assessment of July 2021 Flood in Western Germany and Henan, China

Round 1

Reviewer 1 Report

 

The topic of the article is interesting and stimulating. Here you can find my comments:

 

OVERALL: - Please, enlarge and re-arrange font sizes to guide the reader properly in all sections. All figures must be composed of HD images. It is mandatory to improve the scientific quality of the whole manuscript.

-      Please, pay attention to the JOURNAL TEMPLATE within the entire manuscript: in all sections, including tables, references, captions, units, equations, and Figures.

 

INTRODUCTION: Please, consider in the scientific background of your study the value of both advanced experimental and modeling analysis of the prediction of natural phenomena (i.e.,

 

Lama, G.F.C., Crimaldi, M. 2021. Assessing the role of Gap Fraction on the Leaf Area Index (LAI) estimations of riparian vegetation based on Fisheye lenses. 29th European Biomass Conference and Exhibition, 26-29 April 2021 Online, 1172–1176, 2021. https://dx.doi.org/10.5071/29thEUBCE2021-4AV.3.16.

 

Pirone, D., Cimorelli, L., Del Giudice, G., Pianese, D. 2023. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach. J. Hydrol. 128949. https://doi.org/10.1016/j.jhydrol.2022.128949.

 

METHODS: Please, insert a Figure for each sub-section. This could improve considerably the clarity of your manuscript.

 

DISCUSSION and CONCLUSIONS: These two sections must be re-arranged according to the suggestions indicated by the reviewer.

Author Response

Dear Reviewer,

Thank you for your kind suggestions. We deeply appreciate your time and effort to provide your valuable feedbacks and insightful comments on revising the manuscript. All the suggestions mentioned by the reviewer have been tried to incorporate in the manuscript. Below we provide the attached point-by-point responses. All modifications in the manuscript can be seen in track changes, highlighted in red. 

please see the attachment

 

Author Response File: Author Response.doc

Reviewer 2 Report

Review for Land-2230325“Post-Flood Resilience Assessment of 2021 July Western 2 Germany and Henan, China Flood”.

The study focuses on the evaluation of the post-flood resilience of two deadly floods in Western Germany and Henan, China (due to climate change in July 2021).

please see the attached file for the comments.

Comments for author File: Comments.pdf

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Reviewer 3 Report

The manuscript is significant for the journal’s profile, the post-Flood Resilience Assessment - the comparative studies - could bring some practical solutions.

 

However, the paper is not fit to be published in its current form. There is need for revision and improvements in order to be published.

  Abstract.

I suggest adding the methodology used for the manuscript.

 

Introduction

I suggest that the Introduction chap. could be also developed based also on some international literature, projects results, some official reports.

Please add the research question which is not very well stated in the Introduction.

 

Methodology

I suggest using a quantitative method (different indicators) in order to quantify the resilience in these 2 countries. It seems as a description being the main gap of the manuscript.

 

 

Conclusions

The result should be also correlated with the result of some international projects. I suggest adding future scope of this study in the conclusion section. I suggest adding a section dedicated to uncertainties and limitations of the study.

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Reviewer 4 Report

Dear authors,
Good work, but some comments and improvements should be addressed. See in the attached file.

Best,

Comments for author File: Comments.pdf

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Reviewer 5 Report

Line 56. Add some information from the latest report of IPCC https://www.ipcc.ch/report/ar6/wg2/ regarding the future climate projections for rainfall intensities and floods frequency in the forthcoming climatic periods.

Line 87. This is also confirmed by recently published national scale flood exposure assessments of critical infrastructure using geospatial technologies and open access data (https://doi.org/10.3390/hydrology9080145, https://doi.org/10.1016/j.ijdrr.2019.101240).

Line 181. Social infrastructure could be added to the table as a new entry category.

Figure 211. Please increase the resolution of the figure 1. Moreover, any explanation of the different colors in the main figure.

Line 239. Increase the font it the captures 4.1.1 – 4.1.13.

Figure 3. Reduce the digits of the precipitation values in the legend.

Line 424. Increase the font it the captures 4.2.1 – 4.2.13.

 

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Round 2

Reviewer 1 Report

The article has been improved. Few corrections are needed:

 

OVERALL: Please, improved the contrasr between colour in the figures. It will improve the aquality of the whole manuscript.

 

INTRODUCTION: Please, consider in the scientific background of your study the importance of uncertainty quantification in the monitoring and prediction of water resources broadlly speaking (i.e.,

 

Lama, G.F.C., Crimaldi, M., De Vivo, A., Chirico, G.B., Sarghini, F. 2021. Eco-hydrodynamic characterization of vegetated flows derived by UAV-based imagery, 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 273–278, doi:10.1109/MetroAgriFor52389.2021.9628749.

 

Pirone, D., Cimorelli, L., Del Giudice, G., Pianese, D. 2023. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach. J. Hydrol. 128949. https://doi.org/10.1016/j.jhydrol.2022.128949.

 

Lama, G.F.C., Rillo Migliorini Giovannini, M., Errico, A., Mirzaei, S., Chirico, G.B., Preti, F. 2021. The impacts of Nature Based Solutions (NBS) on vegetated flows’ dynamics in urban areas, 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2021, 58–63. doi:10.1109/MetroAgriFor52389.2021.9628438.

 

 

de Oliveira, L.E., & Janzen, J.G. 2020. Mass Exchange in Dead Water Zones: A Numerical Approach. Water, Energy and Food Nexus in the Context of Strategies for Climate Change Mitigation, 59-68. doi: 10.1007/978-3-030-57235-8_5)

 

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Reviewer 3 Report

The authors improved partially their manuscript, not all recommendations were taken into account. However, the paper is not fit to be published in its current form. There is need for revision and improvements in order to be published.

 Methodology

I suggest using a quantitative method (different indicators) in order to quantify the resilience in these 2 countries. It seems as a description being the main gap of the manuscript.

 Conclusions

The result should be also correlated with the result of some international projects

Author Response

Please see the attachment

 

Author Response File: Author Response.doc

Round 3

Reviewer 3 Report

The authors took into account the reviewer suggestions and comments.