干旱区生态环境知识资源中心(Arid): Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region

Arid

DOI	10.1007/s12517-018-4168-0
	Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region
	Hellassa, Sarah; Souag-Gamane, Doudja
通讯作者	Souag-Gamane, Doudja
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2019
卷号	12 期号:2
英文摘要	This paper presents a combined model of wavelet transform analysis and multi-site stochastic generation model of daily rainfall data. The followed methodology demonstrates the feasibility of the discrete wavelets transform for de-noising process as part of hydrological data processing. The classical two-part stochastic model has been investigated at the basin scale to simulate multi-site daily rainfall time series, which is among the most useful information used in water resources management. However, despite the importance of such information, as far as we know, no previous contribution has been conducted to tackle the issue for Algerian watershed. Such requirement has spurred the authors to investigate the performance of a multi-site stochastic process in this study area. Therefore, to develop this investigation, a modified stochastic model based on Wilks approach was adopted. According to the literature, the adopted model led to good results in solving the adverse effect of random noise problem. Overall, the validation of the statistical characteristics of the obtained generated series demonstrates that the model performs very well with noisy data as well as with the de-noised ones. Furthermore, the use of the pre-treated daily rainfall data in the stochastic multi-site model has contributed to improve substantially the spatial dependency results for the semi-arid study area.
英文关键词	Multi-site stochastic generator Daily rainfall De-noising process Wavelet analysis Spatial correlation Algeria
类型	Article
语种	英语
国家	Algeria
收录类别	SCI-E
WOS记录号	WOS:000455451600002
WOS关键词	MARKOV-CHAIN MODEL ; DAILY PRECIPITATION OCCURRENCE ; INTERANNUAL VARIABILITY ; NONPARAMETRIC MODEL ; WEATHER GENERATOR ; SERIES ; SIMULATION ; CLIMATE ; STREAMFLOW
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214305
作者单位	Univ Sci & Technol Houari Boumediene, LEGHYD Lab, BP 32, Algiers, Algeria
推荐引用方式 GB/T 7714	Hellassa, Sarah,Souag-Gamane, Doudja. Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region[J],2019,12(2).
APA	Hellassa, Sarah,&Souag-Gamane, Doudja.(2019).Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region.ARABIAN JOURNAL OF GEOSCIENCES,12(2).
MLA	Hellassa, Sarah,et al."Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region".ARABIAN JOURNAL OF GEOSCIENCES 12.2(2019).