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Water Resources Management
Erschienen in: Water Resources Management 1/2017

23.10.2016

Investigation of Climatic Variability with Hybrid Statistical Analysis

verfasst von: Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga

Erschienen in: Water Resources Management | Ausgabe 1/2017

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Abstract

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.
Vorheriger Artikel Cross-Calibration of Two Independent Groundwater Balance Models and Evaluation of Unknown Terms: The Case of the Shallow Aquifer of “Tavoliere di Puglia” (South Italy)
Nächster Artikel Fuzzy C-Mean Clustering Based Inference System for Saltwater Intrusion Processes Prediction in Coastal Aquifers

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Metadaten
Titel
Investigation of Climatic Variability with Hybrid Statistical Analysis
verfasst von
Omid Bozorg-Haddad
Mohammad Solgi
Hugo A. Loáiciga
Publikationsdatum
23.10.2016
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 1/2017
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-016-1530-4

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