干旱区生态环境知识资源中心(Arid): Neuro-fuzzy systems to estimate reference evapotranspiration

Arid

DOI	10.4314/wsa.v45i2.10
	Neuro-fuzzy systems to estimate reference evapotranspiration
	Zakhrouf, Mousaab 1; Bouchelkia, Hamid 1; Stamboul, Madani 2
通讯作者	Bouchelkia, Hamid
来源期刊	WATER SA
ISSN	0378-4738
EISSN	1816-7950
出版年	2019
卷号	45 期号:2 页码:232-238
英文摘要	Routine and rapid estimation of evapotranspiration (ET) at regional scale is of great significance for agricultural, hydrological and climatic studies. A large number of empirical or semi-empirical equations have been developed for assessing ET from meteorological data. The FAO-56 PM is one of the most important methods used to estimate evapotranspiration. The advantage of FAO-56 PM is a physically based method that requires a large number of climatic parameter data. In this paper, the potential of two types of neuro-fuzzy system, including ANFIS based on subtractive clustering (S_ANFIS), ANFIS based on the fuzzy C-means clustering method (F_ANFIS), and multiple linear regression (MLR), were used in modelling daily evapotranspiration (ET0). For this purpose various daily climate data - air temperature (T), relative humidity (RH), wind speed (U) and insolation duration (ID) - from Dar El Beidain Algiers, Algeria, were used as inputs for the ANFIS and MLR models to estimate the ET0, obtained by FAO-56 based on the Penman-Monteith equation. The obtained results show that the performances of S_ANFIS model yield superior to those of F_ANFIS and MLR models. It can be judged from results of the Nash-Sutcliffe efficiency coefficient (EC) where S_ANFIS (EC = 94.01%) model can improve the performances of F_ANFIS (EC = 93.00%) and MLR (EC = 92.12%) during the test period, respectively.
英文关键词	modelling FAO-56 PM evapotranspiration S-ANFIS F-ANFIS MLR semi-arid regions Algeria
类型	Article
语种	英语
国家	Algeria
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000466983100010
WOS关键词	ANFIS
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/2XILL650/219299
作者单位	1.Univ Tlemcen, Fac Technol, URMER Lab, Dept Hydraul, Tilimsen, Algeria; 2.Laghouat Univ, Dept Civil Engn, Fac Engn Sci, Laghouat, Algeria
推荐引用方式 GB/T 7714	Zakhrouf, Mousaab,Bouchelkia, Hamid,Stamboul, Madani. Neuro-fuzzy systems to estimate reference evapotranspiration[J],2019,45(2):232-238.
APA	Zakhrouf, Mousaab,Bouchelkia, Hamid,&Stamboul, Madani.(2019).Neuro-fuzzy systems to estimate reference evapotranspiration.WATER SA,45(2),232-238.
MLA	Zakhrouf, Mousaab,et al."Neuro-fuzzy systems to estimate reference evapotranspiration".WATER SA 45.2(2019):232-238.