Wave Dynamics of River Water Quality
Doklady Earth Sciences, ISSN: 1531-8354, Vol: 491, Issue: 1, Page: 175-178
2020
- 5Citations
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes5
- CrossRef2
Article Description
Abstract: A cyclic wave nature of variations in the composition and properties of river water, indicating the long-term memory effect in the corresponding time series, has been discovered. This effect lies in the fact that the current values of the parameters under control to a great extent depend on their former values. The relation of long-term memory and persistence to the Hurst exponent and fractals of the investigated series has been specified. The possibility for quantitative estimation of the long-term memory effect has been established for controlled water use.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85084442811&origin=inward; http://dx.doi.org/10.1134/s1028334x20030162; https://link.springer.com/10.1134/S1028334X20030162; https://link.springer.com/content/pdf/10.1134/S1028334X20030162.pdf; https://link.springer.com/article/10.1134/S1028334X20030162/fulltext.html; https://dx.doi.org/10.1134/s1028334x20030162; https://link.springer.com/article/10.1134/S1028334X20030162
Pleiades Publishing Ltd
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know