Investigation of Climatic Variability with Hybrid Statistical Analysis

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• 作者：Omid Bozorg-Haddad ; Mohammad Solgi ; Hugo A. Loáiciga
• 关键词：Unit ; root test ; Stationary test ; Hybrid statistical analysis (HSA) model ; Stationarity ; Long memory ; Climate change
• 刊名：Water Resources Management
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：31
• 期：1
• 页码：341-353
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Hydrogeology; Hydrology/Water Resources; Geotechnical Engineering & Applied Earth Sciences; Atmospheric Sciences; Civil Engineering; Environment, general;
• 出版者：Springer Netherlands
• ISSN：1573-1650
• 卷排序：31

文摘

The study of the stationarity of hydrologic time series is a common method to detect climate change and the influence of anthropogenic activities on hydrologic variability. The power of different stationary tests is herein investigated with generated hydrologic time series. This study also combines a standard unit root test and an alternative stationary test to yield a new hybrid statistical analysis (HSA) model. The HSA model is implemented to study the effect of climate change in the Hamun Lake basin, Iran. The implementation results demonstrate that there is evidence of climatic change in the Lake Hamun basin.