Optimization of Compressive Strength of Reactive Powder Concrete for an Energy Storage Pile Application Using Response Surface Method

Bektimirova, Umut; Sharafutdinov, Eldar; Tleuken, Aidana; Shon, Chang Seon; Zhang, Dichuan; Kim, Jong Ryeol

doi:10.4028/www.scientific.net/msf.950.117

Cited by 1 publication

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References 7 publications

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“…The more the contour tends to be elliptical, the more significant the interaction between the two factors is. The more the contour tends to be circular, the less significant the interaction is [20,21]. Figure 4 shows the correlation between each principal component of ecological environment evaluation system in Guangzhou smart city.…”

Section: Correlation Analysis On Principal Components Of Ecological E...mentioning

confidence: 99%

Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource Data

Ma¹,

Yang

2022

Journal of Sensors

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In order to further enhance the ecological environment construction of smart cities and promote its deep integration with advanced technologies, such as the new generation of artificial intelligence and big data, this study constructs a data fusion framework for the ecological environment of smart cities driven by multisource data and constructs an ecological environment evaluation index system of smart cities in Guangzhou from 2010 to 2018. The ecological environment status of smart cities in Guangzhou is analyzed by principal component analysis, and finally the, correlation influence degree of each principal component content on the ecological environment index of smart cities is analyzed. The results show that environmental excellence ( K 1 ), environmental restoration response ( K 2 ), and environmental pollution pressure ( K 3 ) are the main components of the ecological environment in Guangzhou smart city. The environmental excellence and environmental restoration response level are relatively high, and the environmental pressure system is relatively low, in which the greenland coverage rate increases from 41.3% to 44.0%, and the urban sewage treatment rate and the decontamination rate of urban refuse increase year by year, from 73.1% to 94.6% and from 72.1% to 99.9%, respectively. The results of principal component correlation analysis show that there are interactive influences among environmental excellence ( K 1 ), environmental restoration response (K2), and environmental pollution pressure ( K 3 ). The ecological environment index of smart cities increases with the improvement of environmental excellence and environmental restoration response capacity, but gradually decreases with the increase of environmental pollution pressure. Generally speaking, improving environmental excellence and environmental restoration response will be the key to improve the ecological environment construction capacity of smart cities in the future.

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Section: Correlation Analysis On Principal Components Of Ecological E...mentioning

confidence: 99%

Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource Data

Ma¹,

Yang

2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

Optimization of Compressive Strength of Reactive Powder Concrete for an Energy Storage Pile Application Using Response Surface Method

Cited by 1 publication

References 7 publications

Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource Data

Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource Data

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