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Sökning: WFRF:(Pham Quoc Bao) > (2020) > The optimal alterna...

The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh

Salam, Roquia (författare)
Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh
Islam, Abu Reza Md. Towfiqul (författare)
Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh
Pham, Quoc Bao (författare)
Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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Dehghani, Majid (författare)
Civil Engineering Department, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
Al-Ansari, Nadhir, 1947- (författare)
Luleå tekniska universitet,Geoteknologi
Linh, Nguyen Thi Thuy (författare)
Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam. Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang, 550000, Vietnam
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Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam (creator_code:org_t)
2020-11-19
2020
Engelska.
Ingår i: Scientific Reports. - UK : Springer Nature. - 2045-2322. ; 10
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Reference evapotranspiration (ETo) is a basic element for hydrological designing and agricultural water resources management. The FAO56 recommended Penman–Monteith (FAO56-PM) formula recognized worldwide as the robust and standard model for calculating ETo. However, the use of the FAO56-PM model is restricted in some data-scarce regions like Bangladesh. Therefore, it is imperative to find an optimal alternative for estimating ETo against FAO56-PM model. This study comprehensively compared the performance of 13 empirical models (Hargreaves–Samani, HargreavesM1, Hargreaves M2, Berti, WMO, Abtew, Irmak 1, Irmak 2, Makkink, Priestley-Taylor, Jensen–Haise, Tabari and Turc) by using statistical criteria for 38-years dataset from 1980 to 2017 in Bangladesh. The radiation-based model proposed by Abtew (ETo,6) was selected as an optimal alternative in all the sub-regions and whole Bangladesh against FAO56-PM model owing to its high accuracy, reliability in outlining substantial spatiotemporal variations of ETo, with very well linearly correlation with the FAO56-PM and the least errors. The importance degree analysis of 13 models based on the random forest (RF) also depicted that Abtew (ETo,6) is the most reliable and robust model for ETo computation in different sub-regions. Validation of the optimal alternative produced the largest correlation coefficient of 0.989 between ETo,s and ETo,6 and confirmed that Abtew (ETo,6) is the best suitable method for ETo calculation in Bangladesh.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Geotechnical Engineering (hsv//eng)

Nyckelord

Evapotranspiration
Climate
Bangladesh
Soil Mechanics
Geoteknik

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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