scholarly journals A Study on Drivers of Water Consumption in China From a Complex Network Perspective

2021 ◽  
Vol 9 ◽  
Author(s):  
Ruijin Du ◽  
Xiaoxia Zheng ◽  
Lixin Tian ◽  
Kaihui Liu ◽  
Lijuan Qian ◽  
...  
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Water Consumption ◽  
Water Conservation ◽  
Structural Characteristics ◽  
Virtual Water ◽  
Direct Production ◽  
Complex Network Theory ◽  
Daunting Task ◽  
The Impact

Water consumption has been one of the most important topics in the field of environment and economy. Even though the driving factors of water consumption have been well studied, it is still a daunting task to reveal the influence of the status of provinces in the entire supply chain. By combining the multi-regional input-output (MRIO) model and complex network theory, an inter-provincial virtual water transfer (V WT) network was constructed to analyze the overall structural characteristics of the network model and identify the structural roles of each province. The constructed inter-provincial V WT network exhibited the characteristics of a small-world network, that is, virtual water can be easily transferred from one province to another. Moreover, network analysis revealed that provinces with different positions in the V WT network played discrepant structural roles. Panel regression analysis was further used to quantify the impact of provincial structural roles on their water consumption. The results showed that water consumption in China largely depended on some structural role characteristics in the V WT network. Out-degree and out-strength characterizing the ability of direct exporting virtual water exerted significant positive influences, while in-closeness featuring the indirect virtual water importing rate had a significant negative effect on water usage. This indicated that adjusting the uneven provincial consumption structure, the direct production demand of downstream provinces and the indirect production activities in the supply chain would help reduce water consumption. Therefore, to come true the goal of water conservation in China, it would be necessary to improve the trade structure between direct and indirect exporters and importers in the entire supply chain.

scholarly journals Complex network and fractal theory for the assessment of water distribution network resilience to pipe failures

2017 ◽  
Vol 18 (3) ◽  
pp. 767-777 ◽  
Author(s):  
Armando Di Nardo ◽  
Michele Di Natale ◽  
Carlo Giudicianni ◽  
Roberto Greco ◽  
Giovanni Francesco Santonastaso
Keyword(s):  
Complex Network ◽  
Water Distribution ◽  
Fractal Theory ◽  
Distribution Networks ◽  
Pipe Failure ◽  
Operational Conditions ◽  
Complex Network Theory ◽  
Topological Features ◽  
Wide Range ◽  
The Impact

AbstractWater distribution networks (WDNs) must keep a proper level of service under a wide range of operational conditions, and, in particular, the analysis of their resilience to pipe failures is essential to improve their design and management. WDNs can be regarded as large sparse planar graphs showing fractal and complex network properties. In this paper, the relationship linking the geometrical and topological features of a WDN to its resilience to the failure of a pipe is investigated. Some innovative indices have been borrowed from fractal geometry and complex network theory to study WDNs. Considering all possible network configurations obtained by suppressing one link, the proposed indices are used to quantify the impact of pipe failure on the system's resilience. This approach aims to identify critical links, in terms of resilience, with the help of topological metrics only, and without recourse to hydraulic simulations, which require complex calibration processes and come with a computational burden. It is concluded that the proposed procedure, which has been successfully tested on two real WDNs located in southern Italy, can provide valuable information to water utilities about which pipes have a significant role in network performance, thus helping in their design, planning and management.

scholarly journals Research on the Structural Characteristics of Transmission Grid Based on Complex Network Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jinli Zhao ◽  
Hongshan Zhou ◽  
Bo Chen ◽  
Peng Li
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Statistical Characteristic ◽  
Network Theory ◽  
Structural Characteristics ◽  
Power Grid ◽  
Characteristic Parameters ◽  
Characteristic Structure ◽  
Complex Network Theory ◽  
Transmission Grid

Reasonable and strong structure is an important foundation for the smart transmission grid. For vigorously promoting construction of the smart grid, it is of great significance to have a thorough understanding of the complex structural characteristics of the power grid. The structural characteristics of several actual large-scale power grids of China are studied in this paper based on the complex network theory. Firstly, the topology-based network model of power grid is recalled for analyzing the statistical characteristic parameters. The result demonstrated that although some statistical characteristic parameters could reflect the topological characteristics of power grid from different ways, they have certain limitation in representing the electrical characteristics of power grid. Subsequently, the network model based on the electrical distance is established considering the limitation of topology-based model, which reflects that current and voltage distribution in the power grid are subject to Ohm's Law and Kirchhoff's Law. Comparing with the topology-based model, the electrical distance-based model performs better in reflecting the natural electrical characteristic structure of power grid, especially intuitive and effective in analyzing clustering characteristics and agglomeration characteristics of power grid. These two models could complement each other.

scholarly journals Assessing the Vulnerability of Logistics Service Supply Chain Based on Complex Network

2020 ◽  
Vol 12 (5) ◽  
pp. 1991 ◽  
Author(s):  
Fei Ma ◽  
Huifeng Xue ◽  
Kum Fai Yuen ◽  
Qipeng Sun ◽  
Shumei Zhao ◽  
...  
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Service Providers ◽  
Real Life ◽  
Clustering Coefficient ◽  
Important Indicator ◽  
Complex Network Theory ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Low Efficiency

The reliable operation of a logistics service supply chain (LSSC) is a key factor for improving logistics efficiency and service level, and vulnerability is an important indicator of reliable LSSC operation. Based on complex network theory, we reconstructed the running mechanism of logistics service providers, integrators, and demanders. We constructed an improved structure model of LSSC. By observing the selected three indicators (clustering coefficient, maximum connectivity, and network connectivity efficiency), the influence caused by the problem will continue to spread to more subjects along the network when a problem exists in one part of the network. The results showed that the destructive power of deliberate attacks is far greater than the damage caused by random attacks, and the disruption of logistics service integrators will considerably increase the vulnerability of the LSSC. However, even if logistics service integrators are removed completely, the LSSC still can operate at low efficiency. Through a case analysis, we identified the vulnerable nodes in logistics service, clarify the vulnerable mechanism in LSSC, and provide guidance for the operation of LSSC in real life.

Vulnerability Assessment and Analysis of Active Distribution Network Structure

2014 ◽  
Vol 568-570 ◽  
pp. 1843-1849
Author(s):  
Da Chuan Liu ◽  
Jian Hua Zhang ◽  
Dan Wang ◽  
Hai Nan Li ◽  
Bo Zeng
Keyword(s):  
Power System ◽  
Complex Network ◽  
Network Structure ◽  
Network Theory ◽  
Large Scale ◽  
Fossil Fuels ◽  
Distribution Network ◽  
Complex Network Theory ◽  
Active Distribution Network ◽  
The Impact

Owing to more and more people concern about environment issues and reduction of fossil fuels, a growing number of distributed generations (DGs) are being interconnected to the power system. The active distribution network (ADN) provides an effective way to achieve the large scale connection and efficient utilization of them. This paper analyzes the vulnerability performance of active distribution network quantitatively and discusses the impact of DGs on the distribution network transmission efficiency under different grid structure through the application of complex network theory in power system. The example results show that meshed network structure can effectively promoting the consumption of DG and verify the feasibility of applying complex network theory to the distribution network for vulnerability analysis.

scholarly journals Structural Characteristics of EV Li-ion Batteries Recycling Supply Chain Network

2022 ◽  
Vol 2160 (1) ◽  
pp. 012042
Author(s):  
Dong Mu ◽  
Haonan Ni ◽  
Huanyu Ren
Keyword(s):  
Supply Chain ◽  
Network Theory ◽  
Structural Characteristics ◽  
Li Ion Batteries ◽  
Firm Level ◽  
Complex Network Theory ◽  
Recycling Industry ◽  
Supply Relationship ◽  
Li Ion ◽  
The Government

Abstract With the rapid increase in the decommissioning of the EV Li-ion batteries (EV-LIBs), the EV-LIBs recycling industry is growing dramatically. Based on the realistic supply relationship data of major firms in the EV-LIBs recycling industry, this paper uses the complex network theory to construct a global firm-level EV-LIBs recycling supply chain (EV-LIBs-RSC) network and analyze the structural characteristics of the EV-LIBs-RSC network from the network level. Specifically, The degree distribution, average degree, overall density, average shortest path length, and community structure of EV-LIBs-RSC network are systematically analyzed. The relevant results can assist the government in proposing appropriate industrial policies.

scholarly journals Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Nai-Ru Xu ◽  
Jia-Bao Liu ◽  
De-Xun Li ◽  
Jun Wang
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Network Theory ◽  
Clustering Coefficient ◽  
Supply Chain Network ◽  
Evolutionary Mechanism ◽  
Complex Network Theory ◽  
Scale Free ◽  
Agile Supply Chain ◽  
Network Research

The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

scholarly journals Evolution of China’s Interprovincial Water Flow Network

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Taozhen Huang ◽  
Yan Li ◽  
Qiaoliang Zhang
Keyword(s):  
Complex Network ◽  
Water Flow ◽  
Water Governance ◽  
Social Systems ◽  
Virtual Water ◽  
Water Resource System ◽  
Flow Network ◽  
Complex Network Theory ◽  
Water Flows ◽  
Evolutionary Features

Traditionally, water governance focuses on water only. The emergence of virtual water breaks this limitation and integrates economic and social systems with the water resource system. This paper establishes an interprovincial complex network of virtual water flows in China, based on the theory on complex network, which has rarely been adopted to study the virtual water transfer network. Then, the authors analyzed the pattern and evolutionary features of China’s interprovincial virtual water flow network. In this way, the complex network theory was successfully applied to explore the virtual water flows across provinces in China.

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