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Article
Peer-Review Record

Spatiotemporal Analysis of Land Use and Land Cover (LULC) Changes and Precipitation Trends in Shanghai

Appl. Sci. 2020, 10(21), 7897; https://doi.org/10.3390/app10217897
by Qin Jiang 1,2, Xiaogang He 3, Jun Wang 1,2,*, Jiahong Wen 4,*, Haizhen Mu 5 and Ming Xu 6
Reviewer 1:
Reviewer 2:
Reviewer 3: Anonymous
Appl. Sci. 2020, 10(21), 7897; https://doi.org/10.3390/app10217897
Submission received: 25 September 2020 / Revised: 3 November 2020 / Accepted: 5 November 2020 / Published: 7 November 2020
(This article belongs to the Special Issue Remote Sensing and Health Problems)

Round 1

Reviewer 1 Report

L48: "due to" should be corrected to other words.

L77: What do you mean by "total intensity"?

L53:  Please refer to Dr.Souma's works. He has done many works on urban heat island and heavy rainfall using cloud resolving model.

L88: What do you mean by "relative method"?  relative --> related?

Table 1:  I think that China has its own GIS database for LULC. Why you chose USGS data?

L126 and many places: "Os" can be replaced to "OS"

L159-160: How to include the orographic effects by IDW method? I think that IDW cannot consider such effect. How can you mention that IDW has the advantage for the hilly areas?
It's better to confirm your gridded data is good enough for the purpose of your study. Did you check the spatial distribution by radar data?
Another way for confirmation is to reproduce gridded value by hiding (not use) some station's information. If you can successfully reproduce such hided information, you can show the effectiveness of your gridding method. As your paper's title is "Spatio-temporal analysis", spatial distribution is key factor. LULC is very detail. On the other hand, precipitation distribution is poorly analyzed.

L173 Results : Before showing the spatial distribution of trend, it's better to show the spatial distribution of gridded precipitation. It is important to show the quality of your spatio-temporal analysis.

L175: spatial distribution of the (trend for) annual precipitation amount

Figure5: It is better to show the value of trend with blue gradation and red gradation (not up or down). We can see how the trend is different from place to place more clearly.

Figure5(b),(c): There are some spotty patterns at the edge area. Such pattern may happen by inadequate griding by extrapolation of stations data. It is better to include more surrounding (western part) station's data to prevent the 'extrapolation' in griding process.

Figure10: Is there any reason for northern area not showing upward trend?

Figure11: "UrS" should be "Ur"

Figure12: It's better to discuss the changes in high temperature extremes as well.

 

 

 

 

 

Author Response

please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Generalities

 

This paper deals with the analysis of the impacts of land use and land cover on precipitations, and partially, on air temperature, in Shanghai, a very big city experiencing relatively fast urban development in the last decades. The object of this work is surely interesting, since the results and the conclusions can be very useful for application and programming to other similar urban contexts and environments. The work is well written, well organized and extremely clear in the studied processes and used methods. The discussion and conclusions are well based on the found results.

Therefore, this article is suitable for publication in "Applied Sciences”. However, it can be accepted for publication only after minor-moderate revisions, according to the general and specific comments detailed in the separate document here enclosed

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 3 Report

Very well written paper on the relationship between CLC development and Changes and Precipitation Trends in Shanghai. The authors significantly confirmed:
-fast growth of built-up area is positively correlated with the increase of precipitation
- that urbanization has a significant effect on precipitation in this area
These results confirm the intense human impact on the microclimate and the direct human environment.
I have 2 recommendations:
1. Line 94 - population since 2017 - recommendation to supplement the situation from 2019
2. Isn't the increase in development prioritized towards the port (north-northeast of the center) as places with high potential for work?

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The revised manuscript is different from your responce.

L173 Results: Before showing the spatial distribution of trend, it's better to show the spatial distribution of gridded precipitation. It is important to show the quality of your spatio-temporal analysis.
Response: the detailed spatial distribution of gridded precipitation has been added in results.

I cannot find the result of spatial distribution of gridded rainfall. You just show the spatial distribution of trend.

 

Figure5(b), (c): There are some spotty patterns at the edge area. Such pattern may happen by inadequate griding by extrapolation of stations data. It is better to include more surrounding (western part) station's data to prevent the 'extrapolation' in griding process.
Response: Thank you for your invaluable suggestions. We have added two surrounding station’s data to prevent the 'extrapolation' in interpolation process.

 

If you have two more stations for gridding process, Figure 3 should be changed. Also, no description for these two stations in inner region in the manuscript.

 

 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

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