Gray correlation analysis and prediction models of living refuse generation in Shanghai city

Liu, Gousheng; Yu, Jialu

doi:10.1016/j.wasman.2006.03.010

Cited by 74 publications

(30 citation statements)

References 6 publications

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“…The analysis is on the basis of gray correlation coefficients of different factors. Those with high correlation coefficients would indicate strong effect within a system . Lastly, path analysis (PA) was performed by the software SAS 9.1 (SAS Institute, Cary, NC, USA) to assess correlation between the active components and antioxidant activity and these primary environmental factors, which made the multiple statistical analyses employed in this study more reasonable .…”

Section: Methodsmentioning

confidence: 99%

“…Those with high correlation coefficients would indicate strong effect within a system. [26] [27] Lastly, path analysis (PA) was performed by the software SAS 9.1 (SAS Institute, Cary, NC, USA) to assess correlation between the active components and antioxidant activity and these primary environmental factors, which made the multiple statistical analyses employed in this study more reasonable. [57] All the data were expressed as the mean value AE SD (standard deviation) and were subjected by one-way ANOVA followed by Duncan multiple comparison based on the SPSS 19.0 software.…”

Section: Measurement Of Rutin By Rp-hplcmentioning

confidence: 99%

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Effects of Growing Location on the Contents of Main Active Components and Antioxidant Activity of Dasiphora fruticosa (L.) Rydb. by Chemometric Methods

Liu

Wang

Hou

et al. 2018

Chemistry & Biodiversity

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Traditional Chinese Medicine (TCM) is a very important raw material source for natural medicines in China. The content and activity of active component are main indexes that evaluate the quality of TCM, however, they may vary with environmental factors. In this study, the effects of environmental factors on the active component contents and antioxidant activity of Dasiphora fruticosa collected from the five main growing areas of China were investigated. The contents of tannin, total flavonoids and rutin were determined to be 7.65 - 10.69%, 2.30 - 5.39% and 0.18 - 0.81%, respectively. Antioxidant activity was determined by DPPH assay, with the DPPH IC values ranged from 8.791 to 32.534 μg mL . In order to further explore the cause of these significant geographical variations, the chemometric methods including correlation analysis, principal component analysis, gray correlation analysis and path analysis were applied. The results showed that environmental factors had significant effect on the contents of active components and antioxidant activity. Rapidly available phosphorus (RAP) and rapidly available nitrogen (RAN) were common dominant factors, and a significant positive action existed between RAP and active components and antioxidant activity (P < 0.05). Contributed by their high active components and strong antioxidant activity, Bange in Tibet and Geermu in Qinghai Province were selected as a favorable growing location, respectively.

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Section: Methodsmentioning

confidence: 99%

Section: Measurement Of Rutin By Rp-hplcmentioning

confidence: 99%

Effects of Growing Location on the Contents of Main Active Components and Antioxidant Activity of Dasiphora fruticosa (L.) Rydb. by Chemometric Methods

Liu

Wang

Hou

et al. 2018

Chemistry & Biodiversity

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“…The relations between annual emission and annual concentrations were examined using grey correlation analysis, which was described previously (He and Lin 2003;Liu and Yu 2007;Jia et al 2010).…”

Section: Ambient Pollutant Concentration Datamentioning

confidence: 99%

“…The authors concluded that "reasonable traffic system improvement strategies along with vehicle technology improvements can contribute to controlling total motor vehicle emissions in Beijing after the Olympic Games." Grey Model has been applied in quite a few environmental evaluations (He and Lin 2003;Liu and Yu 2007;Jia et al 2010). Grey Model, also known as gray correlation analysis, is a tool revealing the relations between variables (Deng 1989).…”

Section: Introductionmentioning

confidence: 99%

An evaluation of improvements in the air quality of Beijing arising from the use of new vehicle emission standards

Jin

Gao

et al. 2011

Environ Monit Assess

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An innovative approach of mean emission by vehicle type was used in this paper to assess the impact of new vehicle emission standards in Beijing, China during the period of 2000-2005. It was found that CO and NO(x) emissions decreased by 48% and 23%, respectively, from Type O (before 2000) to Type I (year 2000) vehicles. The reductions from Type O to Type II (year 2002) vehicles were 85% and 73% for CO and NO(x), respectively. When all three types of vehicles (Types O, I and II) are combined, the annual per vehicle CO emissions decreased from 586 kg per vehicle per year in 2000 to 324 kg per vehicle per year in 2005, while that of NO(x) decreased from 66.9 to 43.4 kg per vehicle per year, which was mainly resulted from the impact of stringent new vehicle emission standards implemented in years 2000 and 2002. However, the vehicle population increased by 70% during the same time period, which offset the impact of cleaner vehicles. Thus, the total vehicle emission decreased little for CO (885,000 tons in 2000, 837,000 tons in 2005) and even increased slightly for NO(x) (101,000 and 112,000 tons in 2000 and 2005, respectively). The ambient concentrations of CO decreased significantly throughout 2000-2005, the same trend was not observed for NO(2). Correlation analysis (grey correlation and Pearson correlation) between the annual vehicle emissions and annual concentrations of CO, the annual NO(x) emission and annual NO(2) concentration indicated that the implementation of new vehicle emission standards was associated with the abatement of ambient CO and NO(2) concentrations in Beijing.

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“…Although the grey forecasting model has demonstrated promising results in different fields, the literature shows that its performance could still be improved (Lin et al 2009). Zhou et al (2006) combine the traditional grey model GM (1,1) with the trigonometric residual modification technique to forecast electricity demand; Tien (2005) combines the deterministic grey dynamic model with the Grey-Markov chain to predict the time for which the deviation is over the limit of tolerance deviation; Liu & Yu (2007) introduce the grey linear power index model (GIM (1)), grey logarithm power model (GLPM (1)) and grey parabola power model (GPPM (1)); Lin & Lee (2007) propose a novel high-precision grey forecasting model MFGMn (1, 1) and the result indicates that this model can increase the prediction accuracy; Ou (2012) forecasts agricultural production in Taiwan with an improved grey forecasting model based on the genetic algorithm, and finds that the improved model can raise the forecasting accuracy of the GM (1,1) model.…”

Section: Introductionmentioning

confidence: 99%

New optimized grey derivative models for grain production forecasting in China

Liu

Wang

et al. 2014

J. Agric. Sci.

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Although the grey forecasting model has been successfully employed in various fields and demonstrates promising results, the literature shows that its performance could still be improved. Therefore, the aim of the present study was to continue the investigation and derive three hybrid models to predict grain production in China by combining particle swarm optimization (PSO) with the grey linear power index model, the grey logarithm power model and the grey parabola power model. In grey modelling, the use of PSO had the ability to search optimum grey parameters to construct three improved derivative grey models. The results concluded that the improved optimization models with high precision were superior to the traditional models, and PSO contributed more to precision improvement of the three grey models. Furthermore, results from the experiments demonstrated that the optimized models were reliable and valid.

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Gray correlation analysis and prediction models of living refuse generation in Shanghai city

Cited by 74 publications

References 6 publications

Effects of Growing Location on the Contents of Main Active Components and Antioxidant Activity of Dasiphora fruticosa (L.) Rydb. by Chemometric Methods

Effects of Growing Location on the Contents of Main Active Components and Antioxidant Activity of Dasiphora fruticosa (L.) Rydb. by Chemometric Methods

An evaluation of improvements in the air quality of Beijing arising from the use of new vehicle emission standards

New optimized grey derivative models for grain production forecasting in China

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