Arid
DOI10.1016/j.agwat.2016.08.025
Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events
Valipour, Mohammad; Sefidkouhi, Mohammad Ali Gholami; Raeini-Sarjaz, Mahmoud
通讯作者Sefidkouhi, Mohammad Ali Gholami
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2017
卷号180页码:50-60
英文摘要

There are a lot of investigations to select the best model to estimate potential evapotranspiration (ETo) in a certain climate or region. In this paper, the types of climate include arid, semiarid, Mediterranean, and very humid. A spatial and temporal study of the ETo is the aim of this paper, according to the peak and low events (extreme events) and climate change alarms. For this purpose, 50 years (1961-2010) monthly meteorological data of 18 regions in Iran, with various climates, were collected. For estimating the ETo, 5 temperature-based, 5 radiation-based, and 5 mass transfer-based models, were selected with respect to better performance of them in different climates on the basis of past investigations. The results will especially be useful in the regions where the monthly (rather than daily) meteorological data are available. The results appear that the Blaney-Criddle (BC) (root mean square error (RMSE)= 1.32 mm day(-1)) and Abtew (Ab) (RMSE= 0.83 mm day(-1)) are the best models for estimating the ETo in the arid and semiarid regions, respectively. While, modified Hargreaves-Samani 2 (MHS2) represents the best performance in the Mediterranean and very humid regions (RMSE= 0.30 mm day(-1) & 0.68 mm day(-1), respectively). In addition, radiation-and mass transfer-based models are proper tools to estimate the ETo in warm and cold seasons on the basis of improving values of evaluation indices in 40% and 70% of the study area, respectively. Increasing air temperature and decreasing minimum relative humidity for best performance of most models alarms a climate change in most regions of Iran. As a result, the radiation-based models were adapted with climate change better than the temperature-based and particularly mass transfer-based models. Finally, a step by step flowchart was presented for selecting the best model to estimate the ETo in each climate. (C) 2016 Elsevier B.V. All sights reserved.


英文关键词Best model Climate variability Crop water requirement Iran Uncertainty Weather parameters
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000390741000005
WOS关键词HARGREAVES ; MANAGEMENT ; EQUATION ; TEMPERATURE ; CALIBRATION ; EVAPORATION ; WATER ; IRAN
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/197131
作者单位Sari Agr Sci & Nat Resources Univ, Dept Water Engn, Sari, Iran
推荐引用方式
GB/T 7714
Valipour, Mohammad,Sefidkouhi, Mohammad Ali Gholami,Raeini-Sarjaz, Mahmoud. Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events[J],2017,180:50-60.
APA Valipour, Mohammad,Sefidkouhi, Mohammad Ali Gholami,&Raeini-Sarjaz, Mahmoud.(2017).Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events.AGRICULTURAL WATER MANAGEMENT,180,50-60.
MLA Valipour, Mohammad,et al."Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events".AGRICULTURAL WATER MANAGEMENT 180(2017):50-60.
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