干旱区生态环境知识资源中心(Arid): Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions

Arid

DOI	10.1007/s00704-019-03007-3
	Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions
	Raza, Ali 1; Shoaib, Muhammad 1; Khan, Afzaal 1; Baig, Faisal 1; Faiz, Muhammad Abrar 2; Khan, Mudasser Muneer 3
通讯作者	Shoaib, Muhammad
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2020
卷号	139 期号:3-4 页码:1459-1477
英文摘要	Evapotranspiration (ET) is a fundamental element in the hydrological cycle and plays a vital role in simulating hydrological effects of climate change. Accurate estimation of reference evapotranspiration (ETo) plays a significant role in the field of hydrometeorology and agrometeorology. There are many direct or indirect methods that are employed for estimation of ETo. Furthermore, soft computing approaches are also used to solve complex problems of estimation in various disciplines. The application of the soft computing techniques for estimating evapotranspiration has only been limited to few approaches including artificial neural network, fuzzy logic, and genetic algorithm. This study is conducted to apply non-conventional soft computing approaches for estimating ETo which include single decision tree (SDT), tree boost (TB), and decision tree forest (DTF). Monthly meteorological data spanning over 30 years (1987 to 2016) for six different cities located in arid, semi-arid, and humid regions of Pakistan is used for the estimation of ETo in this study. Seventeen input combinations comprising of various climatic parameters were developed to evaluate the impact of different parameters. A total of 306 models were developed using the SDT, TB, and DTF approaches for all six selected cities of Pakistan. The results of the developed models are then compared with ETo calculated by the standard method of modified Penmen equation. The TB modeling technique is found to perform best for various cities located in different climatic zones of Pakistan. Only two climatic parameters, the mean temperature and wind velocity, are found to be sufficient for efficient ETo prediction. To further validate the results, the outcome of the study was applied on some other climatic regions located in the USA, New Zealand, and China. Finally, it is concluded that these non-conventional approaches can also be considered superior alternatives to the available methods of estimating ETo.
英文关键词	Evapotranspiration Soft computing approaches Single decision tree Tree boost Decision tree forest
类型	Article
语种	英语
国家	Pakistan ; Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000511528400048
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; MODEL ; EVAPORATION
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315659
作者单位	1.Bahauddin Zakariya Univ, Dept Agr Engn, Multan, Pakistan; 2.Northeast Agr Univ, Coll Water Conservancy & Civil Engn, Harbin, Peoples R China; 3.Bahauddin Zakariya Univ, Dept Civil Engn, Multan, Pakistan
推荐引用方式 GB/T 7714	Raza, Ali,Shoaib, Muhammad,Khan, Afzaal,et al. Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions[J],2020,139(3-4):1459-1477.
APA	Raza, Ali,Shoaib, Muhammad,Khan, Afzaal,Baig, Faisal,Faiz, Muhammad Abrar,&Khan, Mudasser Muneer.(2020).Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions.THEORETICAL AND APPLIED CLIMATOLOGY,139(3-4),1459-1477.
MLA	Raza, Ali,et al."Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions".THEORETICAL AND APPLIED CLIMATOLOGY 139.3-4(2020):1459-1477.