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DOI	10.1080/02626667.2020.1734813
	Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
	Salih, Sinan Q.1; Sharafati, Ahmad 1,2,12; Ebtehaj, Isa 3,4; Sanikhani, Hadi 5,6; Siddique, Ridwan 7; Deo, Ravinesh C.8; Bonakdari, Hossein 9; Shahid, Shamsuddin 10; Yaseen, Zaher Mundher 11
通讯作者	Yaseen, Zaher Mundher
来源期刊	HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
ISSN	0262-6667
EISSN	2150-3435
出版年	2020
卷号	65 期号:7 页码:1145-1157
英文摘要	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 (R-2) 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).
英文关键词	genetic algorithm stationarization stochastic model periodic term rainfall forecasting
类型	Article
语种	英语
国家	Vietnam ; Iran ; USA ; Australia ; Canada ; Malaysia
收录类别	SCI-E
WOS记录号	WOS:000524033200001
WOS关键词	ATLANTIC REGION ; TREND ANALYSIS ; IDENTIFICATION
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314695
作者单位	1.Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam; 2.Duy Tan Univ, Fac Civil Engn, Da Nang 550000, Vietnam; 3.Razi Univ, Dept Civil Engn, Kermanshah, Iran; 4.Razi Univ, Environm Res Ctr, Kermanshah, Iran; 5.Univ Kurdistan, Water Engn Dept, Agr Fac, Sanandaj, Iran; 6.Univ Kurdistan, Res Ctr Water Sci & Engn, Sanandaj, Iran; 7.Univ Massachusetts, Northeast Climate Sci Ctr, Amherst, MA 01003 USA; 8.Univ Southern Queensland, Inst Life Sci & Environm, Ctr Appl Climate Sci, Sch Agr Computat & Environm Sci, Springfield, Australia; 9.Univ Laval, Dept Soils & Agri Food Engn, Quebec City, PQ, Canada; 10.Univ Teknol Malaysia, Sch Civil Engn, Fac Engn, Johor Baharu, Malaysia; 11.Ton Duc Thang Univ, Fac Civil Engn, Sustainable Dev Civil Engn Res Grp, Ho Chi Minh City, Vietnam; 12.Islamic Azad Univ, Sci & Res Branch, Dept Civil Engn, Tehran, Iran
推荐引用方式 GB/T 7714	Salih, Sinan Q.,Sharafati, Ahmad,Ebtehaj, Isa,et al. Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments[J],2020,65(7):1145-1157.
APA	Salih, Sinan Q..,Sharafati, Ahmad.,Ebtehaj, Isa.,Sanikhani, Hadi.,Siddique, Ridwan.,...&Yaseen, Zaher Mundher.(2020).Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments.HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES,65(7),1145-1157.
MLA	Salih, Sinan Q.,et al."Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments".HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES 65.7(2020):1145-1157.