Research on the Influencing Mechanism of Traditional Cultural Values on Citizens’ Behavior Regarding the Reuse of Recycled Water

Liu, Kun; Fu, Hanliang; Chen, Hong

doi:10.3390/su10010165

Cited by 12 publications

(10 citation statements)

References 43 publications

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“…Human activities have become the most important factor affecting the natural water cycling system, and its influence has exceeded the limit of ecological bearing capabilities, thus causing irreversible damage [2,3]. In urban areas with relatively dense industries and population, the supply-demand conflict of water resources is extremely significant, making water resources an important factor that restricts the development of the social economy in the 21st century [4]. Therefore, recycled water, an alternative to natural water resources, has become an important approach to solve the problem of water shortages.…”

Section: Introductionmentioning

confidence: 99%

Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization

Liu

et al. 2018

Sustainability

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The public's acceptance level of recycled water use is a key factor that affects the popularization of this technology; therefore, it is critical to know the public's attitude in order to make guiding policies effectively and scientifically. To examine the major focuses and hot topics among the public about recycled water use, one of the major platforms for social opinion in China, the micro blog, is used as a source to obtain data related to the topic. Through the "follow-be followed" and "forward-dialogue" behaviors, a network of discussion of recycled water use among micro-blog users has been constructed. Improved particle swarm optimization has been used to allow deep digging for key words. Ultimately, key words about the topic of have been clustered into three categories, namely, the popularization status of recycled water use, the main application, and the public's attitude. The conclusion accurately describes the concerns of Chinese citizens regarding recycled water use, and has important significance for the popularization of this technology.

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Section: Introductionmentioning

confidence: 99%

Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization

Liu

et al. 2018

Sustainability

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“…Specificlly, the data collected in the last month is used as testing set, the rest data as training set. In this way, the method can achieve anomaly detection via training and testing [36][37][38]. The second method uses alert logs based on time window to predict anomaly.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope

Jiang

Lian

et al. 2018

Complexity

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With the diversification of pit mine slope monitoring and the development of new technologies such as multisource data flow monitoring, normal alert log processing system cannot fulfil the log analysis expectation at the scale of big data. In order to make up this disadvantage, this research will provide an ensemble prediction algorithm of anomalous system data based on time series and an evaluation system for the algorithm. This algorithm integrates multiple classifier prediction algorithms and proceeds classified forecast for data collected, which can optimize the accuracy in predicting the anomaly data in the system. The algorithm and evaluation system is tested by using the microseismic monitoring data of an open-pit mine slope over 6 months. Testing results illustrate prediction algorithm provided by this research can successfully integrate the advantage of multiple algorithms to increase the accuracy of prediction. In addition, the evaluation system greatly supports the algorithm, which enhances the stability of log analysis platform.

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“…Note: To avoid antipathy of the survey participants, private information is not compulsory, so some questionnaires were found to be blank in this part. In many conditions, people are divided into two stages of age in China, young and old, and 43 is always the age line [44].…”

Section: Data Collectionmentioning

confidence: 99%

How Environmental Protection Motivation Influences on Residents’ Recycled Water Reuse Behaviors: A Case Study in Xi’an City

Liu

et al. 2018

Water

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Pro-environmental behaviors related to reclaimed water reuse are regarded as important motivations for both environmental protection and the use of reclaimed water, and these motivations could affect the citizens’ decision whether they will accept reclaimed water reuse. A hypothesis model was developed as the NAM (Norm Activation Model) has changed, and this hypothesis model was used to explore the factors that affect the citizen’s decision about the reclaimed water reuse, and obtain a better understanding of the mechanism of urban citizens in environmental protection and the related outcomes. First, 584 samples were used to verify the reliability and validity of data, and AMOS21.0 was used to test the goodness-of-fit between the sample data and the hypothesis model. Based on this, the applicability of the improved NAM was verified through the study of recycled water reuse. The hypothesis model was used to analyze its direct influences, showing that environmental motivation has positive influences on the citizens’ acceptance toward recycled water reuse. Besides, Bootstrap method was used to verify the mediation effect, proving that awareness of consequences regarding environmental pollution caused by human activities and ascription of responsibility could strengthen the citizens’ motivation to protect the environment.

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Research on the Influencing Mechanism of Traditional Cultural Values on Citizens’ Behavior Regarding the Reuse of Recycled Water

Cited by 12 publications

References 43 publications

Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization

Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization

Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope

How Environmental Protection Motivation Influences on Residents’ Recycled Water Reuse Behaviors: A Case Study in Xi’an City

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