Evolution of the Water Resources System Based on Synergetic and Entropy Theory

Zhu, Qing; Shen, Laixin; Pei-bin, Liu; Yue-fen, Zhao; Yang, Yi; Huang, Daying; Wang, Ping; Jin, Yang

doi:10.15244/pjoes/59236

Cited by 9 publications

(6 citation statements)

References 14 publications

(23 reference statements)

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“…A higher entropy value corresponds to greater uncertainty in the change in the representative variable and more information represented by the variable. In recent years, it has been widely used in hydrological sequence analyses [62,63], station network layouts [64], water resources assessment [65], and other aspects.…”

Section: Fundamental Theory Of Entropy and Standard Deviationmentioning

confidence: 99%

A Method for the Optimized Design of a Rain Gauge Network Combined with Satellite Remote Sensing Data

et al. 2020

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A well-designed rain gauge network can provide precise and detailed rainfall data for earth science research; meanwhile, satellite precipitation data has been developed to generate more real spatial features, which provides new data support for the improvement of ground station network design methods. In this paper, satellite precipitation data are introduced into the design of a rain gauge network and an optimized method for designing a rain gauge network that comprehensively considers the information content, spatiotemporality, and accuracy (ISA) of the data is proposed. After screening the potential stations, the average spatial information index of the rain gauge network, which is calculated from remote sensing data, is used to address the shortcomings of applying spatial information from single-use measurement data. Then, the greedy ranking algorithm is used to rank the order in which the rain gauges are added to the network. The results of the rain gauge network design in the upper reaches of the Chaobai river show that compared with two methods that do not consider spatiality or use only measured data to consider spatiality, the proposed method performs better in terms of the spatial layout and accuracy verification. This study provides new ideas and references for the design of hydrological station networks and explores the use of remote sensing data for the layout of ground-based station networks.

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Section: Fundamental Theory Of Entropy and Standard Deviationmentioning

confidence: 99%

A Method for the Optimized Design of a Rain Gauge Network Combined with Satellite Remote Sensing Data

et al. 2020

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“…They also provided a method to evaluate groundwater quality monitoring systems with marginal entropy contour maps. Zhu et al (2015) also studied the groundwater quality using entropy theory in China. The results show that Beijing's water resources system fluctuated indirectly between 2000 and 2007.…”

Section: Introductionmentioning

confidence: 99%

Development of the entropy theory for wind speed monitoring by using copula-based approach

Tahroudi

Ramezani

Michele

et al. 2023

Preprint

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The purpose of this study is to development of the entropy theory by using copula-based approach for temporal and spatial monitoring of wind speeds in the Lut Desert, Iran at Bam, Tabas and Birjand stations in the period of 1973–2020. The conventional entropy method was improved by the two methods. In the first method, vine copulas were used to evaluate the interaction between the stations. At the second method, in addition to the first method, a 2-D copula function was used to analyze the joint frequency and conditional occurrence probability. In the first method, A D-vine copula was selected to simulate the wind speed at each station according to the wind speed at the other stations. In the second method, Frank copula function was used to joint probability analysis. The results of comparing the information transfer index in the two methods and the conventional entropy method showed that the percentage increase of this index in the first method at the Bam, Birjand and Tabas stations compared to the conventional entropy method is 25, 0 and 23%, respectively. This increase in the second method compared to the conventional entropy method at the mentioned stations is 24, 10 and 33%, respectively.

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“…Several researchers proposed the synergetic theory to explore the development of industries and apply the "order parameter" to determine the driving force that guides the development of the industry [21][22][23]. Synergetic theory proposes that all open systems can be viewed as forms of self-organization, wherein the driving force is formed through interconnection and interaction among several and even all driving force factors [22].…”

Section: Introductionmentioning

confidence: 99%

Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

2022

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Global climate crises are forcing the world to behave sustainably. The building energy service industry (BESI) emerged and promoted building energy conservation by providing a market-oriented mechanism for initial investment. However, the BESI lacks scientific and rational planning, lagging far behind the energy service in the industrial sector. This paper attempts to analyze BESI from the perspective of order parameter-based analysis by adopting the DEMATEL (Decision-Making and Trial Evaluation Laboratory) method, thereby revealing the characteristics of industrial evolution and ascertaining the main order parameters. Consequently, the results show that the evolution of the BESI industry relies on synergistic interaction in the corporate operation, industry-standard, production factor-related, and external environmental industry subsystems. The synergy of the BESI consists of synergy in subsystems, between subsystems, and between the system and the external environment. Three main order parameters dominating the evolution of the BESIs system are determined, namely, “financial support”, “industry standard”, and “technology innovation”. Financial support and industry standard drove the development of the BESI in China over the last few years, while technological innovation will lead its evolution in the coming years. Based on these results, policy suggestions can be proposed to foster BESI development, especially regarding technological innovation.

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Evolution of the Water Resources System Based on Synergetic and Entropy Theory

Cited by 9 publications

References 14 publications

A Method for the Optimized Design of a Rain Gauge Network Combined with Satellite Remote Sensing Data

A Method for the Optimized Design of a Rain Gauge Network Combined with Satellite Remote Sensing Data

Development of the entropy theory for wind speed monitoring by using copula-based approach

Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

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