Estimation of the Parameters of the Moving Average in the Case of Infinite Variance

Онищенко, В. Ф.

doi:10.1137/1134031

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…This study used moving average method to analyze the hydrological data and make prediction. For the observation sequence (y1, y2, …, yT), the calculation Equation can be described as follows (Onishchenko, 1990):…”

Section: Time-series Analysismentioning

confidence: 99%

Study on Dynamic Water Environmental Capacity of Fenghuangshan Drinking Water Source Area in Three Gorges Reservoir

Liu¹,

Zhu²,

Zhai³

et al. 2021

J ENVIRON INFORM LET

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Research on water environment capacity is an important part of watershed water environment management. Based on the basic theory of water environment capacity, this study obtained and analyzed the dynamic water environment capacity in Fenghuangshan drinking water source area, Three Gorges Reservoir. In this study, eight water indicators were taken as the indicator object, and the dynamic water environment capacity change range from 2012 to 2017 was permanganate index, biochemical oxygen demand, ferrum, ammonia nitrogen, total phosphorus, anionic surfactant, hexavalent chromium and cuprum, in descending order. The the dynamic water environment capacity of anionic surfactant would increase mainly in pre-flood stage and after storage stage and the other indicators would increase mainly in the end of the flood stage and storage stage. Besides, when the difference between inflow and outflow was positive, the dynamic water environment capacity of anionic surfactant would be reduced and other indicators would be increased. Moreover, the results of time-series analysis introduced showed that this method could be used to predict the change trend of dynamic water environment capacity. Overall, the research in this paper could be a new reference for scientists and decision makers in analyzing, predicting and control the change trend of water environment.

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Section: Time-series Analysismentioning

confidence: 99%