干旱区生态环境知识资源中心(Arid): Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran)

Arid

DOI	10.1007/s40899-019-00352-z
	Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran)
	Bahrami, Mehdi; Zarei, Abdol Rassoul; Moghimi, Mohammad Mehdi; Mahmoudi, Mohammad Reza
通讯作者	Bahrami, M
来源期刊	SUSTAINABLE WATER RESOURCES MANAGEMENT
ISSN	2363-5037
EISSN	2363-5045
出版年	2019
卷号	5 期号:4 页码:1981-1994
英文摘要	Evapotranspiration, as the main component of the hydrologic cycle, will affect plant water demands and water resources plan. The aims of present research were to evaluate the tendency in reference evapotranspiration (ET0) by the Mann-Kendall test, the Spearman's Rho test and the linear regression analysis at the 5% significant level using meteorological data of 16 synoptic stations at Southern Iran during period 1980-2010. Results revealed that 1, 3, 6, and 12 monthly ET0 in most regions of study area showed increasing trends. Only, Shiraz station exhibited the significant decreasing trend in all time scales based on statistical methods. The values of the significant raising tendencies in annual ET0 varied among -0.501 at Shiraz and +3.194 mm/year at Bam. Based on seasonal time scale, also Bam station showed the maximum significant increasing tendency (in summer and spring) based on Mann-Kendall and Spearman's Rho techniques. The monthly analysis of trend in ET0 series indicated that the highest amounts of stations with significant increase tendency discovered in May. In general, this study result indicates a serious warning about warming and climate change of southern Iran. This subject can cause different effects including increment of water consumption in agricultural sector, increase of water rain waste, enhancement of water waste in dams, reservoirs, lakes, etc., decrease of surface water quality, and food crisis.
英文关键词	Mann-Kendall Evapotranspiration Trend analysis Spearman Rho test Linear regression Iran
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000494686800047
WOS关键词	CROP EVAPOTRANSPIRATION ; DROUGHT ; INDEX ; VARIABLES ; TESTS
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/2XILL650/333904
作者单位	[Bahrami, Mehdi; Moghimi, Mohammad Mehdi] Fasa Univ, Fac Agr, Dept Water Engn, Fasa, Iran; [Zarei, Abdol Rassoul] Fasa Univ, Fac Agr, Dept Range & Watershed Management Nat Engn, Fasa, Iran; [Mahmoudi, Mohammad Reza] Fasa Univ, Fac Sci, Dept Stat Sci, Fasa, Iran
推荐引用方式 GB/T 7714	Bahrami, Mehdi,Zarei, Abdol Rassoul,Moghimi, Mohammad Mehdi,et al. Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran)[J],2019,5(4):1981-1994.
APA	Bahrami, Mehdi,Zarei, Abdol Rassoul,Moghimi, Mohammad Mehdi,&Mahmoudi, Mohammad Reza.(2019).Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran).SUSTAINABLE WATER RESOURCES MANAGEMENT,5(4),1981-1994.
MLA	Bahrami, Mehdi,et al."Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran)".SUSTAINABLE WATER RESOURCES MANAGEMENT 5.4(2019):1981-1994.