R/S method for evaluation of pollutant time series in environmental quality assessment
The significance of the fluctuation and randomness of the time series of each pollutant in environmental quality assessment is described for the first time in this paper. A comparative study was made of three different computing methods: the same starting point method, the striding averaging method,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2008-12-01
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| Series: | Water Science and Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237015300429 |
| _version_ | 1819237454358511616 |
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| author | Bu Quanmin Bi Jun Yuan Zengwei Huang Lei |
| author_facet | Bu Quanmin Bi Jun Yuan Zengwei Huang Lei |
| author_sort | Bu Quanmin |
| collection | DOAJ |
| description | The significance of the fluctuation and randomness of the time series of each pollutant in environmental quality assessment is described for the first time in this paper. A comparative study was made of three different computing methods: the same starting point method, the striding averaging method, and the stagger phase averaging method. All of them can be used to calculate the Hurst index, which quantifies fluctuation and randomness. This study used real water quality data from Shazhu monitoring station on Taihu Lake in Wuxi, Jiangsu Province. The results show that, of the three methods, the stagger phase averaging method is best for calculating the Hurst index of a pollutant time series from the perspective of statistical regularity. |
| first_indexed | 2024-12-23T13:20:35Z |
| format | Article |
| id | doaj.art-1ae7930434cd411094b5e0dd5ef8d77c |
| institution | Directory Open Access Journal |
| issn | 1674-2370 |
| language | English |
| last_indexed | 2024-12-23T13:20:35Z |
| publishDate | 2008-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Science and Engineering |
| spelling | doaj.art-1ae7930434cd411094b5e0dd5ef8d77c2022-12-21T17:45:27ZengElsevierWater Science and Engineering1674-23702008-12-0114828810.3882/j.issn.1674-2370.2008.04.009R/S method for evaluation of pollutant time series in environmental quality assessmentBu Quanmin0Bi Jun1Yuan Zengwei2Huang Lei3State Key Laboratory of Pollution Control and Resources Reuse, Nanjing 210093, P. R. ChinaState Key Laboratory of Pollution Control and Resources Reuse, Nanjing 210093, P. R. ChinaState Key Laboratory of Pollution Control and Resources Reuse, Nanjing 210093, P. R. ChinaState Key Laboratory of Pollution Control and Resources Reuse, Nanjing 210093, P. R. ChinaThe significance of the fluctuation and randomness of the time series of each pollutant in environmental quality assessment is described for the first time in this paper. A comparative study was made of three different computing methods: the same starting point method, the striding averaging method, and the stagger phase averaging method. All of them can be used to calculate the Hurst index, which quantifies fluctuation and randomness. This study used real water quality data from Shazhu monitoring station on Taihu Lake in Wuxi, Jiangsu Province. The results show that, of the three methods, the stagger phase averaging method is best for calculating the Hurst index of a pollutant time series from the perspective of statistical regularity.http://www.sciencedirect.com/science/article/pii/S1674237015300429environmental quality assessmenttime seriesfractal dimensionR/S statistical methodHurst index |
| spellingShingle | Bu Quanmin Bi Jun Yuan Zengwei Huang Lei R/S method for evaluation of pollutant time series in environmental quality assessment Water Science and Engineering environmental quality assessment time series fractal dimension R/S statistical method Hurst index |
| title | R/S method for evaluation of pollutant time series in environmental quality assessment |
| title_full | R/S method for evaluation of pollutant time series in environmental quality assessment |
| title_fullStr | R/S method for evaluation of pollutant time series in environmental quality assessment |
| title_full_unstemmed | R/S method for evaluation of pollutant time series in environmental quality assessment |
| title_short | R/S method for evaluation of pollutant time series in environmental quality assessment |
| title_sort | r s method for evaluation of pollutant time series in environmental quality assessment |
| topic | environmental quality assessment time series fractal dimension R/S statistical method Hurst index |
| url | http://www.sciencedirect.com/science/article/pii/S1674237015300429 |
| work_keys_str_mv | AT buquanmin rsmethodforevaluationofpollutanttimeseriesinenvironmentalqualityassessment AT bijun rsmethodforevaluationofpollutanttimeseriesinenvironmentalqualityassessment AT yuanzengwei rsmethodforevaluationofpollutanttimeseriesinenvironmentalqualityassessment AT huanglei rsmethodforevaluationofpollutanttimeseriesinenvironmentalqualityassessment |