Next Article in Journal
Spatio-Temporal Evolution and Action Path of Environmental Governance on Carbon Emissions: A Case Study of Urban Agglomerations in the Yellow River Basin
Previous Article in Journal
A GIS Approach for Analysis of Traffic Accident Hotspots in Abha and Bisha Cities, Saudi Arabia
 
 
Article
Peer-Review Record

Study on Evaluation of Order Degree of Water Resources Coupling System Considering Time Series Characteristics—Take Jiangxi Province as an Example

Sustainability 2023, 15(19), 14113; https://doi.org/10.3390/su151914113
by Wei Qian 1,2, Chun Fu 1,3 and Zhongzheng He 1,2,*
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Sustainability 2023, 15(19), 14113; https://doi.org/10.3390/su151914113
Submission received: 13 August 2023 / Revised: 15 September 2023 / Accepted: 19 September 2023 / Published: 23 September 2023

Round 1

Reviewer 1 Report

1. Line 122: Attention should be paid to the translation of professional term. What is the order degree of synergetics evaluation? Is it homologous with Synergy Degree Evaluation? This professional term does not appear in the existing academic family. If it was created by the author, a detailed explanation of the concept is required, including its sources, amendments, and concepts. See literature:

 

Huang, J., Shuai, Y., Liu, Q., Zhou, H., & He, Z. (2018). Synergy degree evaluation based on synergetics for sustainable logistics enterprises. Sustainability, 10(7), 2187.

 

2. The Chinese character "且" appears in formula (4)

 

3. (b) in Figure 1: Curves 6 and 7 overlap completely, do you need to remove one of them? Because they reflect duplicate information, they can affect the calculation weight of the Economic subsystem.

 

4. Section 3.3: The author's subjective interpretation of the results obtained by considering the time series lacks documentary evidence, making it difficult to conclude that the results are more reasonable facts. In addition, the use of the economic subsystem and the energy subsystem as special cases to illustrate the validity of the time-series results is not recognized, and the results of other subsystems need to be supplemented.

 

5. Why is factor 10 omitted from Figure 3?

 

6. Line 318: economic subsystem should be replaced by energy subsystem

 

7. The writing of the discussion section is empty and lacks communication and dialogue with other scholars. There is not a single reference in the entire paragraph, indicating that the author is actually speaking to himself.

 

Overall, the article lacks academic standardization, and my recommendation is reject

Moderate editing of English language required

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Abstract should start with main aim of the study. Avoid numbering results in the abstract.

To make it easier to interpret the results obtained in the work, it would be good to add a map of the analyzed catchment with its use.

The disadvantage of the publication is a rather local approach to the literature review. There are too few references to international literature. It would be worth adding a few publications of similar studies about the rivers outside of China.

The discussion section is fine. It would be good to add the limitations of the study and recommendations for future studies in the section of conclusion.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

 

This paper introduces the application of a synergetic order degree evaluation method considering the characteristics of time series in water resources evaluation. In this paper, it is proposed that the simple giant system entropy calculation process in the traditional synergetic order degree ignores the time series characteristics of the order parameters, which leads to the inconsistency between the evaluation results of the order degree and the evolution state of the order parameters, making the order degree deviate from the actual evolution state of the system. Therefore, this paper takes Jiangxi Province as the research object, under the premise of considering the characteristics of time series, carries out the comprehensive evaluation case test of water resources coupling system order degree. The research results enhance the universality and scientificity of the evaluation method of order degree of synergetics in the relevant fields of comprehensive evaluation of water resources system, and have certain practical significance.

 

1. There are some syntax error in this article. It is recommended to carefully check and revise the full text.

Lines 28-30: "results" suggests using the singular form and modifying the entire sentence.

Lines 54-56: "methods" suggest using the singular form, changing "which is" to "which are" and modifying the entire sentence.

Line 86: “have an interactive relationship” suggests changing to “have interactive relationships.

Lines 132-134: "parameters" suggest using singular form and modifying the entire sentence.

Lines 242-243: the evaluation model suggests changing to an evaluation model, the coupled water resources system suggests changing to a coupled water resources system.

Lines 393-394: parameter suggests using the plural form.

2. Why is the research data only up to 2021? Is the data for 2022 not available for any objective reason?

3. Why does the object of study focus on a province instead of each prefecture-level city in this province? The test results of each prefecture-level city can better explain the universality.

4. The discussion should be improved. When scientifically and reasonably selecting the order parameters of the water resource coupling system, the author can also consider the principle of policy orientation. Policy orientation reflects the problems that continue to be solved in social life and economic development, and is a scientific basis for decision-makers. Of course, the selected data should be compared vertically at the time level and horizontally at the spatial level as much as possible.

5. After selecting various order parameters, it is recommended to use SPSS to test the reliability of these indicators, in order to test the correlation between each indicator and whether the same content or trait has been measured. Generally speaking, the higher the reliability coefficient, the better the correlation between scales. Subsequently, the entropy weight method can be used to analyze which order parameters are important factors affecting the development of each subsystem.

 

Other comments:

Figure 1 (d): The measurement degree of order parameter 21 has suddenly increased since 2019, indicating a sharp deterioration of order parameter 21. What is the reason for this?

The meaning of each order parameter selected in Table 1 is not stated. I suggest that the author give a brief explanation for each order parameter.

Section 3.4: Why is the entropy weight method used in determining the weights of each subsystem? It is recommended to cite relevant literature for explanation.

Table 4: The overall order of the energy subsystem is decreasing year by year and generally low. Why is this phenomenon occurring?

Table 5: Why is the weight of the water resources subsystem only 0.1347? Does this mean that the impact of the water resource subsystem is not significant? Can you explain it?

 

 

The manscript would be better,if it could be polish.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The author gave detailed answers to the questions I raised and made modifications according to my suggestions. This version is more standardized than the previous version, and my recommendation is to accept it.

Back to TopTop