Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
Article
Article Title | Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments |
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ERA Journal ID | 30188 |
Article Category | Article |
Authors | Salih, Sinan Q. (Author), Sharafati, Ahmad (Author), Ebtehaj, Isa (Author), Sanikhani, Hadi (Author), Siddique, Ridwan (Author), Deo, Ravinesh C. (Author), Bonakdari, Hossein (Author), Shahid, Shamsuddin (Author) and Yaseen, Zaher Mundher (Author) |
Journal Title | Hydrological Sciences Journal |
Journal Citation | 65 (7), pp. 1145-1157 |
Number of Pages | 13 |
Year | 2020 |
Place of Publication | United Kingdom |
ISSN | 0262-6667 |
2150-3435 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/02626667.2020.1734813 |
Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/02626667.2020.1734813 |
Abstract | Climate patterns, including rainfall prediction, is one of the most complex problems for hydrologist. It is inherited by its natural and stochastic phenomena. In this study, a new approach for rainfall time series forecasting is introduced based on the integration of three stochastic modelling methods, including the seasonal differencing, seasonal standardization and spectral analysis, associated with the genetic algorithm (GA). This approach is specially tailored to eradicate the periodic pattern effects notable on the rainfall time series stationarity behaviour. Two different climates are selected to evaluate the proposed methodology, in tropical and semi-arid regions (Malaysia and Iraq). The results show that the predictive model registered an acceptable result for the forecasting of rainfall for both the investigated regions. The attained determination coefficient (R2) for the investigated stations was approx. 0.91, 0.90 and 0.089 for Mosul, Baghdad and Basrah (Iraq), and 0.80, 0.87 and 0.94 for Selangor, Negeri Sembilan and Johor (Malaysia). |
Keywords | genetic algorithm, stationarization, stochastic model, periodic term, rainfall forecasting |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
410404. Environmental management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Duy Tan University, Vietnam |
Islamic Azad University, Iran | |
Razi University, Iran | |
University of Kurdistan, Iran | |
University of Massachusetts, United States | |
School of Sciences | |
Laval University, Canada | |
University of Technology Malaysia, Malaysia | |
Ton Duc Thang University, Vietnam | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5qzq/integrative-stochastic-model-standardization-with-genetic-algorithm-for-rainfall-pattern-forecasting-in-tropical-and-semi-arid-environments
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