Next Article in Journal
Comparative Evaluation of Five Hydrological Models in a Large-Scale and Tropical River Basin
Previous Article in Journal
Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models
 
 
Article
Peer-Review Record

Influence of Data Length on the Determination of Data Adjustment Parameters in Conceptual Hydrological Modeling: A Case Study Using the Xinanjiang Model

Water 2022, 14(19), 3012; https://doi.org/10.3390/w14193012
by Thandar Tun Zin * and Minjiao Lu
Reviewer 1:
Reviewer 2: Anonymous
Water 2022, 14(19), 3012; https://doi.org/10.3390/w14193012
Submission received: 29 July 2022 / Revised: 5 September 2022 / Accepted: 19 September 2022 / Published: 24 September 2022
(This article belongs to the Section Hydrology)

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Recommendation: Minor Revision

Manuscript Number: water-1865247

Influence of Data Length on the determination of Data Adjustment Parameters in conceptual hydrological modeling: a case study using the Xinanjiang model

Thandar Tun ZIN, Minjiao LU

Overview and general recommendation:

Thank you for the opportunity to review the manuscript "Influence of Data Length on the determination of Data Adjustment Parameters in conceptual hydrological modeling: a case study using the Xinanjiang model" for the Water journal. Given that the topic of your manuscript centers on the hydrological modeling, I believe that the subject matter is in line with the scope of Water journal.

The work deals with an interesting topic and seems to be very current. Research on hydrological modeling is necessary, especially in human-altered catchments. These changes, combined with climate change, are increasingly causing floods. Disasters related to flooding are the most common threats to people and socio-economic growth. To implement an effective mitigation program and management of flood damages and operation and the proper evacuation management, flood forecasting is an essential tool. Calibrating a model for flood forecasting comprises many difficulties. The lack of the required input data in performing modeling becomes a crucial problem in the hydrological study. This study explains the importance of how the performance and the accuracy of the parameter optimization for the hydrological model change depending on the shortage or lack of required data length. The results of the research are not only of scientific but also practical importance and can be used in the development of flood protection strategies in many places around the world.

The paper is well-organized, containing all of the expected components. In the Introduction, the authors provided a brief research background discussing the current state of technical issues related to the hydrological modeling. The proposed methodology is effective in attaining the object of this work. The Discussion and Conclusions are supported by the information, discussed inside the manuscript.

The text requires an editorial correction. Please, format the text, tables and references according to the journal's guidelines. For example:

-          There should be no spaces between the number and the percent sign: 5 % (Line 693)

-          The quality of figure 6 should be improved, figures 6b and 6d are only partially visible

-          On page 14, figure 8 overlaps the text and the description for that figure has moved to the next page

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Dear Authors

You have incorporated almost all the suggested changes. However, I feel the language check is still required before the article is deemed fit for publication.

Back to TopTop