A Data-Driven Model for Spatial Shallow Landslide Probability of Occurrence Due to a Typhoon in Ningguo City, Anhui Province, China
Round 1
Reviewer 1 Report
Necessary contents and suggestions are included in the text of the article(Attached File)
Comments for author File: 
Comments.pdf
Author Response
Reviewer 1:
Thank you for your comments in the attachment, all the text marked yellow have been checked and revised, please see the new manuscript.
Refer to newest statistical information for average of typhoons.
Response: Thanks for your comments. The manuscript has been modified according to your suggestions, and the average of typhoons has been referred to the newest statistical information.
Reference name used
Response: Thank you for this comment, it has been revised
Name of satellite sensor
Response: The name has been added in the new manuscript. Please lines 142-143.
The distance of the meteorological station to the place of the landslide
Response: Thank you for this comment, the distances from these meteorological stations to the center of the study area have been added in the new manuscript.
Mention a reference or scientific reason for classifying factors
Response: Yes, several references have been added.
Logical relationship between rainfall factor classes and elevation. Given the average rainfall above 1000 mm, why is the maximum rainfall class 402?
Response: The average rainfall in Figure 3 is the annual average rainfall, and the rainfall in Table 2 is the cumulative rainfall during the 3 days of typhoon storms from August 9 to August 11. The corresponding parts have been reviesd in the new manuscript, please see Table 2、Figures 5(i) and 6(i).
Reviewer 2 Report
The analyses performed in the article have a local scope, but the algorithms and tools used during the analysis can be used for any region of the world. The work is of a scientific nature, after introducing the suggested corrections, but following corrections should be introduced:
Specific comments:
Line 116: „NW-trending”- repetition
Fig.1 -the location of the arrows is incorrect, linear scale is incompatible with map scale
Fig. 3 the description of the vertical axis should be: Mean annual precipitation [mm]
Line 159: „This method of manual visual 159 interpretation was used to obtain the completeness of the study area”. What does the Authors mean writing "completness of the study area"? Please specify it.
Line 159: „comparison of the tonal changes of the images”-what the Authors mean? What kind of images these are? What is representing by the white and green colour on this images? Were the occurance of these landslides verified in the terrain (although one). Did the Authors verified the meteorological data for this region (Anhui Province) in the given period of typhoon lasting? Were there snow fall those days?
Line 186: Authors idetified 414 landslides. The total landslide area was 1.42 km2. Is it written properly?) The same is : Line 322 : The size of the study area was 3002.3 km², and the total landslide area was 1.42 km²
Table 1, line: Landslide area zones (m²): In Reviewer’s opinion the intervals should be given using a pause or division sign for example: 0÷2000
Line 213: The Authors wrote: „In the slope range of 20–40°, the distribution of landslides was more concentrated; and when the slope was 214 greater than 50°, almost no landslides occurred (Figure 6b)”. In the Reviewer opinion these conclusions were based on the value Landslide Area /km². But how was it calculated? If conclusions were formulated in this way, it was done incorrectly. According to the reviewer, it was necessary to compare the area of landslides in a given class to the total area studied, and not to the area represented by a given class/ range.
Line 267 and 294: „(175,200] mm, (200,250] mm, (250,300] mm, (300,350] mm, and (350,402]”. The way the intervals are saved is up to the discretion of the Editor. According to the Reviewer, it should be (175÷ 200]mm, (200÷250]……
Line 265: Do the authors simultaneously state the occurrence of landslides in a given area and determine the probability of landslides occurring in the same area? If so, the results of these studies could be compared with each other.
Figure 9 and others: The description of the vertical axis suggests dividing by km2, while km2 are a unit.
Line 363 Authors state that results of their work would be of great significance to the disaster prevention and reduction of typhoon rain- storm-induced landslides in the southeast coastal area. How these results can reduce the number of landslides?
Author Response
Reviewer 2:
The analyses performed in the article have a local scope, but the algorithms and tools used during the analysis can be used for any region of the world. The work is of a scientific nature, after introducing the suggested corrections, but following corrections should be introduced:
Response: Thank you for your affirmation and comments. The new manuscript has been revised according to your comments and the other reviewer’s.
Specific comments:
Line 116: „NW-trending”- repetition
Response: It has been revised please see lines 117-118.
Fig.1 -the location of the arrows is incorrect, linear scale is incompatible with map scale
Response: It has been revised according your comments.
Fig. 3 the description of the vertical axis should be: Mean annual precipitation [mm]
Response: It has been revised according your comments.
Line 159: „comparison of the tonal changes of the images”-what the Authors mean? What kind of images these are? What is representing by the white and green colour on this images? Were the occurance of these landslides verified in the terrain (although one). Did the Authors verified the meteorological data for this region (Anhui Province) in the given period of typhoon lasting? Were there snow fall those days?
Response: Landslide interpretation mainly compares the satellite images before and after the landslides, and mainly focusing on color difference. Which is caused by the destruction of surface vegetation by landslides. The white areas of the image represents vegetation destruction and valley areas, and the green areas of the image represents vegetation coverage areas. If one small area is green before the typhoon and turn white after the typhoon, then this area is a landslide. In this study, satellite images before the typhoon and satellite images after the typhoon of the study area were downloaded for the interpretation. Typhoon “Lekima” occurred in August with heavy rain and no snow.
Line 159: „This method of manual visual 159 interpretation was used to obtain the completeness of the study area”. What does the Authors mean writing "completness of the study area"? Please specify it.
Response: There is indeed a problem here and it has been revised, please see lines 168-169.
Line 186: Authors idetified 414 landslides. The total landslide area was 1.42 km2. Is it written properly?) The same is : Line 322 : The size of the study area was 3002.3 km², and the total landslide area was 1.42 km²
Response: Thank you for this question. The landslides caused by the rainstorm are very small. After our verification, there is no problem.
Table 1, line: Landslide area zones (m²): In Reviewer’s opinion the intervals should be given using a pause or division sign for example: 0-2000
Response: They have been revised according your comment.
Line 213: The Authors wrote: „In the slope range of 20–40°, the distribution of landslides was more concentrated; and when the slope was 214 greater than 50°, almost no landslides occurred (Figure 6b)”. In the Reviewer opinion these conclusions were based on the value Landslide Area /km². But how was it calculated? If conclusions were formulated in this way, it was done incorrectly. According to the reviewer, it was necessary to compare the area of landslides in a given class to the total area studied, and not to the area represented by a given class/ range.
Response: You are right. In the new manuscript, Figure 6 and the description of lines 211-228 have been revised. Figure 6 of the original manuscript is the statistics of the classification area, the number of landslides, and the landslides area. while Figure 6 of the new manuscript is the statistics of the classification area(CA), landslide number density(LND) and landslide area percentage(LAP).
Line 267 and 294: „(175,200] mm, (200,250] mm, (250,300] mm, (300,350] mm, and (350,402]”. The way the intervals are saved is up to the discretion of the Editor. According to the Reviewer, it should be (175- 200]mm, (200-250]……
Response: Thank you for your suggestion but now we won't adopt this suggestion for the time being. If we want to change it, we have to revise the whole text. We will wait for the editor's advice about this problem.
Line 265: Do the authors simultaneously state the occurrence of landslides in a given area and determine the probability of landslides occurring in the same area? If so, the results of these studies could be compared with each other.
Response: Table 1 shows the statistics of rainfall landslides in this region. Section 4.4 shows the real probability of landslide occurrence under five different rainfall conditions: 175-200mm, 200-250mm, 250-300mm, 300-350mm and 350-402mm, and uses 0.001%, 0.01%, 0.1%, and 1% to divide the study area into five grades. The classification results are shown in Figure 8. Figure 9 shows the horizontal comparison of the research results under these five rainfall conditions with different graded areas.
Figure 9 and others: The description of the vertical axis suggests dividing by km2, while km2 are a unit.
Response: Thank you for your comments, they have been revised in the new text.
Line 363 Authors state that results of their work would be of great significance to the disaster prevention and reduction of typhoon rain-storm-induced landslides in the southeast coastal area. How these results can reduce the number of landslides?
Response: In the future, based on these research results, before the typhoon and rainstorm, early warning and evacuation could be carried out for areas with high landslide probability, so as to reduce the harm caused by landslides to people's lives and property.
Round 2
Reviewer 1 Report
Conclusion must be improved better by using your findings and It is necessary to provide more practical contents for users to use this issue.
