Study on the Characteristics of Soil Erosion in the Black Soil Area of Northeast China under Natural Rainfall Conditions: The Case of Sunjiagou Small Watershed

Round 1

Reviewer 1 Report

Line 52 Please delete the repeated sentence: “Soil erosion is influenced by

various factors such as rainfall, slope, soil conservation measures, vegetation cover, and

land use type.”

Line 81 Please delete the sentence: “In this study, it was found that the critical slope changes slightly under different types of rainfall.” And add this info to conclusion.

Line 96 Please use another word instead of “Therefore,”. It was also used in Line 94.

Line 141 Use “mL” instead of “ml” in text.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Corrections to minor methodological errors and text editing. Please see the highlighted text and attached file.

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

 

The paper is well-structure and easy to follow. It is interesting and addresses an important task of soil erosion. However, some improvements are necessary. My suggestion in the aforementioned parts I believe will strengthen the sound of the research

Line 34.  ….and mainly threatens ecosystem’s biodiversity (Stefanidis et al., 2022).

Stefanidis, S., Alexandridis, V., & Ghosal, K. (2022). Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece. Sustainability, 14(5), 2738.

Line 83. It would be useful to add some comments about erosion prediction models. The literature on the development of soil loss estimation models and their dynamics is long over the past decades. These models use mathematical equations to determine the relationship between different type of factors and erosion process. They classified on different spatial/temporal scales and various levels of complexity. In general, the models are categorized as empirical, conceptual and physically-based depending on the physical processes simulated by the model, the algorithms describing these processes and the data dependence. Also refer the most well-known models, limitation, and erosion plot needs.

Line 97. In the last paragraph of the introduction the novelty points of the current approach must be highlighted in comparison with other similar research to the best author’s knowledge. State the research gap answered from this research

Line 132. ….fully automatic weather stations. Type of instruments? measurements accurancy ±?

Line 199. Please make clearer this figure. Decrease the space between the two figures.

Line 362. Add a target for future research based on you results. It would be interesting to compare field measurements with model’s output. Nowadays, this is feasible, as the technological advancement and the ever-growing availability of earth observation (EO) data make the model application quick and effective. To that end, many workflows have been developed, in GIS environment, for the automated estimation of soil erosion (Stefanidis et al., 2021;

Stefanidis, S., Chatzichristaki, C., & Stefanidis, P. (2021). An ArcGIS toolbox for estimation and mapping soil erosion. Journal of Environ. Prot. Ecol, 22, 689-696.

Dominici, R., Larosa, S., Viscomi, A., Mao, L., De Rosa, R., & Cianflone, G. (2020). Yield erosion sediment (YES): a PyQGIS plug-in for the sediments production calculation based on the erosion potential method. Geosciences, 10(8), 324.

 

 

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

The authors greatly improve the article