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Selection of alternate reference evapotranspiration models based on multi-criteria decision ranking for semiarid climate

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Abstract

The hydrologic cycle’s fundamental component, evapotranspiration, is a crucial parameter for research on climate, hydrology, and water use in agriculture. Efficient water management in agriculture requires an accurate assessment of reference evapotranspiration (ETo). The Food and Agriculture Organization recommended Penman–Monteith (PM) approach is among the most precise models for computing ETo. Nevertheless, this technique requires a comprehensive climate dataset, typically only accessible at a few meteorological observatories. As a result, estimating ETo using a small climatic dataset may be an alternative for water management aspects. Thus, in the current study, 12 temperature, ten radiation, and seven mass transfer-based models were assessed using 31 years of meteorological data (1990–2020) and compared with the traditional PM approach in the semiarid environment of Central Delhi, India. Moreover, ranking different models in data-limited situations was attempted using multi-criteria decision-making (MCDM) techniques viz.,TOPSIS (technique for order performance by similarity to ideal solution) and entropy. Results showed that the Priestley–Taylor (PRTY) and Blaney–Criddle (BLCD) models were found to be the most appropriate alternatives to the PM model, with Pearson’s coefficient of correlation (r) values of 0.93 and 0.96, respectively, and mean absolute percentage error (MAPE) values of 13.30 and 21.11%. According to the performance evaluation indices, the performance of the radiation-based models was superior to that of the temperature and mass transfer models. Nevertheless, this ranking would aid in precisely estimating ETo with minimal data, resulting in efficient irrigation scheduling and water resource management.

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Abbreviations

FAO:

Food and Agriculture Organization

PM:

Penman–Monteith model

ETo:

Reference evapotranspiration

MCDM:

Multi-criteria decision-making

PRTY:

Priestley–Taylor

BLCD:

Blaney–Criddle

r :

Pearson’s correlation coefficient

MAPE:

Mean absolute percentage error

TOPSIS:

Technique for order performance by similarity to ideal solution

ET:

Evapotranspiration

RBF:

Radial basis function

HASA:

Hargreaves and Samani

ICAR:

Indian Council of Agricultural Research

ACR-IV:

Agro-Climatic-region-IV

IARI:

Indian Agricultural Research institute

R2:

Coefficient of determination

d :

Index of agreement

MSE:

Mean squared error

RMSE:

Root-mean-squared error

SD:

Standard deviation

SWAT:

Soil and Water Assessment Tool

NRMSE:

Normalized root-mean-squared error

BLCD:

Blaney and Criddle (1950)

HASA:

Hargreaves and Samani (1985)

TRAJ:

Trajkovic (2007)

TBTL1:

Tabari and Talaee (2011)

TBTL2:

Tabari and Talaee (2011)

DRAL1:

Droogers and Allen (2002)

DRAL2:

Droogers and Allen (2002)

BERT:

Berti et al. (2014)

DORJ:

Dorji et al. (2016)

BARO:

Baier and Robertson (1965)

AHGH1:

Ahooghalandari (2016)

AHGH2:

Ahooghalandari (2016)

MAKK:

Makkink (1957)

TURC:

Turc (1961)

HRGV:

Hargreaves (1994)

ABTW1:

Abtew (1996)

ABTW2:

Abtew (1996)

IRMK:

Irmak et al. (2003)

TBTLr1:

Tabari and Talaee (2011)

TBTLr2:

Tabari and Talaee (2011)

OUDN:

Oudin (2004)

DLTN:

Dalton (1802)

MEYR:

Meyer (1926)

ROHW:

Rohwer (1931)

WMO:

WMO (1966)

BRWE:

Brockamp and Wenner

PENM:

Penman (1948)

ROMA:

Romanenko (1961)

SVR:

Support vector regression

MA:

Moving average

PSO:

Particle swarm optimization

GWO:

Grey Wolf optimization

GSA:

Gravitational search algorithm

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Acknowledgements

The authors would like to express their gratitude to the division of agricultural physics at the Indian Agricultural Research Institute (ICAR-IARI), New Delhi, for supplying the meteorological data.

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Authors and Affiliations

  1. Water Technology Center, ICAR-IARI, New Delhi, 110012, India

    Jitendra Rajput, Man Singh, Khajanchi Lal, Manoj Khanna & Arjamadutta Sarangi

  2. Division of Agricultural Physics, ICAR-IARI, New Delhi, 110012, India

    Joydeep Mukherjee

  3. Division of Vegetable Science, ICAR-IARI, New Delhi, 110012, India

    Shrawan Singh

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Contributions

Jitendra Rajput conceptualized, methodology selection and carried formal analysis. Man Singh performed data analysis and graphics preparation. Khajanchi Lal contributed in drafting the manuscript. Manoj Khanna applied the software for analysis. Arjamadutta Sarangi contributed in reviewing the draft. Joydeep Mukherjee performed reviewing and editing. Shrawan Singh participated in the manuscript editing and finalization of the manuscript content. All the authors have contributed significantly to this research work. All authors read and approved the final manuscript.

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Rajput, J., Singh, M., Lal, K. et al. Selection of alternate reference evapotranspiration models based on multi-criteria decision ranking for semiarid climate. Environ Dev Sustain 26, 11171–11216 (2024). https://doi.org/10.1007/s10668-023-03234-9

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