Next Article in Journal
Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments
Previous Article in Journal
An Indoor Tracking Algorithm Based on Particle Filter and Nearest Neighbor Data Fusion for Wireless Sensor Networks
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 14
Issue 22
10.3390/rs14225796
Review Report
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Article
Peer-Review Record

Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong–Hong Kong–Macao Greater Bay Area and the Contribution of Influencing Factors

Remote Sens. 2022, 14(22), 5796; https://doi.org/10.3390/rs14225796
by Xi Tan 1, Yun Qian 1, Han Wang 1,2, Jiayi Fu 1 and Jiansheng Wu 1,2,*
Reviewer 1:
Ying Zhang
Reviewer 2:
Ziqi Zhao
Remote Sens. 2022, 14(22), 5796; https://doi.org/10.3390/rs14225796
Submission received: 26 October 2022 / Revised: 11 November 2022 / Accepted: 15 November 2022 / Published: 16 November 2022

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

The ozone pollution has been a critical problem under climate change for temperature increase drives the photochemical reactions, especially in summer. This paper investigates the ozone patterns in the GBA where the topic is attractive and interesting. The analysis is solid and reliable, so that this paper can be potentially accepted. But some revisions are needed.

Abstract: authors need to present the full name of the NMVOC.

Introduction, it is comprehensive and well written. However, from line 67-74, there is a gap in writing, where the research gap cannot support the research aim. Please rewrite. Moreover, it would be great if authors can link the variation of the drivers to the photochemical reaction into the research aim. It would be more logical. Please see the temperature increase trend in China: Beating the urban heat: Situation, background, impacts and the way forward in China. Renewable and Sustainable Energy Reviews, 161, 112350.

Subsection 2.2.1 The sensors for Ozone are not even on the map, which can introduce some uncertainties when exploring the impact of land cover (2.2.4). Please discuss this in the limitation section.

Line 239-240, this sentence can be removed. Definitely, the corrected data can be more accurate.

Fig.4, meteorology, a combined result of air temperature, relative humidity, and pressure? Moreover, the scale ranges between 0-1, any negative impacts? The same question in Fig.5.

Figure 6, any difference in the blue and red legend?

Fig.7, please circle the meteorology, anthropogenic emission, and landscape pattern into different sections. Have you examined if the contributions of different factors were significant?

In the discussion section, please add a paragraph on the limitation of this study, and a paragraph on the implications for urban planning and design, or air pollution management actions.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

  • The authors made a comprehensive revision according to the comments

Reviewer 2 Report

N/A

Back to TopTop