Evaluation of Water Network Construction Effect Based on Game-Weighting Matter-Element Cloud Model
Round 1
Reviewer 1 Report
The subject matter of the article coincides with journal topics. The article is interesting for readers of the magazine dealing with water management in urbanized areas.
The first part of the article is a good introduction to the further part of the considerations and justifies the research. The purpose of the article is well defined.
Both the research object and the research method used were well described. Noteworthy is an interesting combination of several methods, which is a new research tool. I find table 1 very interesting, containing in my opinion a valuable list of indicators that can also be used by other researchers. These indicators, in conjunction with tables 2 and 3, may be an introduction to the development of sustainable water management standards.
The research results were well presented.
The conclusions are justified by the content of the work.
Line 74-75: Australia is not a EU country :)
Formula 1 - what does the T symbol mean?
The bibliography is correct.
Author Response
Line 74-75: Australia is not a EU country.
Thank you very much for the valuable feedback provided by the experts. Your correction has made me realize the seriousness of this issue, and I have changed Australia to the correct Spain. Once again, I would like to express my sincere gratitude to you. The modifications are as follows:
EU countries such as Spain and France also promoted the construction of smart water networks in their countries through top-level planning, key technology research and development, and demonstration project construction.
Formula 1 - what does the T symbol mean?
Thank you very much for the expert review of the article. In Formula 1, the T symbol means the transposition of the matrix.
Author Response File: 
Author Response.docx
Reviewer 2 Report
The authors focus their study on the water network construction and they formulate an index system in order to assess the efficacy of the water network construction based on the driving force pressure state influence response model by considering four different dimensions of the optimal allocation of water resources, flood control, protection of water ecosystems, and intelligent water network management.
The manuscript is overall well written and easy to follow and the authors have well thought out their main contributions. The provided theoretical analysis is concrete, complete, and correct and the authors have provided all the intermediate steps in order to enable the average reader to easily follow it.
Furthermore, the authors have provided a very detailed set of numerical results in order to demonstrate the pure operation and the performance of the proposed model. The authors are highly encouraged to consider the following suggestions provided by the reviewer in order to further improve the quality of presentation of their manuscript, as well as its scientific depth.
Initially, in Section 1, the authors need to discuss how existing Internet of Things technologies, e.g., Grieco, Luigi Alfredo, et al., eds. Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Proceedings. Vol. 12338. Springer Nature, 2020, can support the water network construction both in terms of its operation as well as in terms of its efficacy.
In section two, the authors need to include an additional subsection providing the theoretical analysis of the computational complexity of the proposed framework and discuss the information and control overhead that is imposed in the system.
In Section 3, the authors need to include an additional subsection providing some additional discussion explaining the implementation cost of the proposed approach in a realistic setup.
The authors focus their study on the water network construction and they formulate an index system in order to assess the efficacy of the water network construction based on the driving force pressure state influence response model by considering four different dimensions of the optimal allocation of water resources, flood control, protection of water ecosystems, and intelligent water network management.
The manuscript is overall well written and easy to follow and the authors have well thought out their main contributions. The provided theoretical analysis is concrete, complete, and correct and the authors have provided all the intermediate steps in order to enable the average reader to easily follow it.
Furthermore, the authors have provided a very detailed set of numerical results in order to demonstrate the pure operation and the performance of the proposed model. The authors are highly encouraged to consider the following suggestions provided by the reviewer in order to further improve the quality of presentation of their manuscript, as well as its scientific depth.
Initially, in Section 1, the authors need to discuss how existing Internet of Things technologies, e.g., Grieco, Luigi Alfredo, et al., eds. Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Proceedings. Vol. 12338. Springer Nature, 2020, can support the water network construction both in terms of its operation as well as in terms of its efficacy.
In section two, the authors need to include an additional subsection providing the theoretical analysis of the computational complexity of the proposed framework and discuss the information and control overhead that is imposed in the system.
In Section 3, the authors need to include an additional subsection providing some additional discussion explaining the implementation cost of the proposed approach in a realistic setup.
Finally, the overall manuscript needs to be checked for typos, syntax, and grammar errors in order to improve the quality of its presentation.
The overall manuscript needs to be checked for typos, syntax, and grammar errors in order to improve the quality of its presentation.
Author Response
1.Initially, in Section 1, the authors need to discuss how existing Internet of Things technologies, e.g., Grieco, Luigi Alfredo, et al., eds. Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Proceedings. Vol. 12338. Springer Nature, 2020, can support the water network construction both in terms of its operation as well as in terms of its efficacy.
Thank you very much for the valuable feedback provided by the experts. Based on your suggestion, I have added relevant content on the technical support of Internet of Things technologies in water network construction and management in the first part. These new content will further enrich and improve my introduction, and more accurately present the important role of Internet of Things technology in the field of water networks. The supplementary content is as follows:
Similarly, the operation and effectiveness of Internet of Things technologies also provide technical support for the construction of water networks, connecting sensors to monitor real-time parameters such as water flow, water quality, and pressure [11]. Remote monitoring and operation systems enable remote monitoring and control of water network facilities. They collect a large amount of real-time data and process it through data analysis algorithms to provide insights into the operational status and trends of the water supply network [12]
References：
11.Nakamura, K.; Manzoni, P.; Zennaro, M.; Cano, J.-C.; Calafate, C.T. Integrating an MQTT Proxy in a LoRa-Based Messaging System for Generic Sensor Data Collection. In Proceedings of Ad-Hoc, Mobile, and Wireless Networks, Cham, 2020//; pp. 282-294.
12.Boccadoro, P.; Santorsola, A.; Grieco, L.A. A Dual-Stack Communication System for the Internet of Drones. In Proceedings of Ad-Hoc, Mobile, and Wireless Networks, Cham, 2020//; pp. 71-83
2.In section two, the authors need to include an additional subsection providing the theoretical analysis of the computational complexity of the proposed framework and discuss the information and control overhead that is imposed in the system.
Thank you very much to the respected expert for providing valuable feedback. Based on your guidance, I have added theoretical analysis on the complexity of framework computation and cost control in the second part of the Research Flowchart. This supplement will help improve my paper and make it more comprehensive and in-depth. The supplementary content is as follows:
The research model conducted a comprehensive analysis of the effectiveness of water network construction to provide a scientific and accurate evaluation. The model incorporated key steps such as indicator weight calculation, relevance calculation and GM(1,1) model prediction to comprehensively assess the effectiveness of water net-work construction from temporal and spatial perspectives. Firstly, for indicator weight calculation, the model employed a systematic approach to ensure the accuracy and scientific validity of the weights. Secondly, relevance calculation served as another important step in the model, which was accomplished through methods such as statistical analysis and relevance coefficient calculation to reveal the impact of indicators on the effectiveness of water network construction. In the prediction process of the GM(1,1) model, the model utilized the grey system theory, enabling reliable predictions by modeling and analyzing existing data. This allowed the model to forecast future trends in the effectiveness of water network construction and provide important reference for decision-making.
To achieve a reasonable evaluation and control costs, it is crucial to ensure that data collection focuses only on data closely related to the research objectives, avoiding unnecessary data collection. Furthermore, after data collection, data cleaning and preprocessing should be performed, including data transformation and standardization for subsequent computation and analysis processes. Parallel computing techniques or optimized algorithms can be considered during the processes of indicator weight calculation and correlation calculation to accelerate computation speed and improve efficiency. Effectively utilizing existing data for modeling and analysis is an efficient approach in the prediction process of the GM(1,1) model. This reduces excessive reliance on new data collection, minimizing data costs and time expenses. Additionally, collaboration and data sharing with other research institutions or experts contribute to reducing redundant data collection and processing tasks, thereby improving the efficiency of data utilization. By engaging in cooperative sharing of data resources and re-search outcomes, data utilization efficiency can be enhanced.
3.In Section 3, the authors need to include an additional subsection providing some additional discussion explaining the implementation cost of the proposed approach in a realistic setup.
Thank you very much to the respected expert for providing valuable feedback. Based on your suggestion, I have changed section 3.1 of section 3 to "Data sources and Implementation Cost" and added relevant content to explain the implementation cost of the proposed method in actual settings. This modification will help to explore the feasibility and practical applicability of the research method more comprehensively. The supplementary content is as follows:
This study primarily collects the required information from local statistical data, which is part of the public big data and is updated on an annual basis. These data, combined with the actual situation, provide reliable research data as the basis for analysis. The research method supports decision-making in multidimensional and diversified requirements, enabling targeted and comprehensive decision-making. This method applies big data analytics thinking to address sequential decision-making issues in the construction of multifunctional water networks, without the need to build a separate platform. It involves step-by-step analysis operations, making it simple and efficient. During the research implementation process, it requires the involvement of professional technicians to perform relevant tasks. This includes verifying the accuracy of basic data, scientifically determining process parameters, and selecting appropriate comparative cases to ensure the reliability and comparability of the study. In summary, implementing this method involves preparatory work such as acquiring public data and conducting surveys on specific requirements. It also requires hands-on operation by professional personnel to ensure the reliability of the research data source and the feasibility of the method, providing strong support for decision-making.
4.The overall manuscript needs to be checked for typos, syntax, and grammar errors in order to improve the quality of its presentation.
Thank you very much to the respected expert for providing valuable feedback.Based on your suggestion,the overall manuscript be checked for typos, syntax, and grammar errors. Making modifications to the discovered problems.Once again, I would like to express my sincere gratitude to you.
Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
The authors have addressed in detail the reviewers' comments. This reviewer has no further concerns regarding this paper.
