IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i24p11133-d1547214.html
   My bibliography  Save this article

Comparative Evaluation of Crop Evapotranspiration Estimation Methods in a Semi-Arid Region

Author

Listed:
  • Peter Addo Amarkai

    (Department of Irrigation, Faculty of Agriculture, Selcuk University, 42130 Konya, Turkey)

  • Sinan Süheri

    (Department of Irrigation, Faculty of Agriculture, Selcuk University, 42130 Konya, Turkey)

Abstract

The aim of this study is to compare crop evapotranspiration in the Konya Plain over a period of 10 years calculated by different crop evapotranspiration estimation methods using data collected from four meteorological stations. Accurate ET estimation is vital for sustainable water management in agriculture, especially in areas where there is a limited availability of water. This study highlights how the various estimation methods, particularly the radiation equation, support water-efficient agriculture when full weather data are available. To achieve this, it calculates the water requirements of five widely cultivated crops in the region: sugar beet, maize (grain), sunflower, dry bean, and wheat. The results show a significant difference between the FAO Penman–Monteith method and each of the other methods. It is also observed that the ETc values calculated according to the radiation equation are higher for most of the stations than the ETc values calculated using the other methods. At Akşehir, the ETc of dry bean obtained by using the radiation equation ranges from 501 mm to 679 mm; at Beyşehir, it ranges from 544 mm to 727 mm; at Cihanbeyli, from 679 mm to 738 mm; and at Ereğli, it ranges from 725 mm to 767 mm. The ASCE Penman–Monteith equation recorded the lowest ETc at all meteorological stations for the 10-year period. The radiation equation can be recommended for areas where there are not enough meteorological data to calculate the FAO Penman–Monteith equation, which is considered the standard approach for determining the water requirements of plants.

Suggested Citation

  • Peter Addo Amarkai & Sinan Süheri, 2024. "Comparative Evaluation of Crop Evapotranspiration Estimation Methods in a Semi-Arid Region," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11133-:d:1547214
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/24/11133/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/24/11133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Watanabe, Kota & Yamamoto, Takashi & Yamada, Takashi & Sakuratani, Tetsuo & Nawata, Eiji & Noichana, Chairat & Sributta, Akadet & Higuchi, Hirokazu, 2004. "Changes in seasonal evapotranspiration, soil water content, and crop coefficients in sugarcane, cassava, and maize fields in Northeast Thailand," Agricultural Water Management, Elsevier, vol. 67(2), pages 133-143, June.
    2. Saadi, Sameh & Todorovic, Mladen & Tanasijevic, Lazar & Pereira, Luis S. & Pizzigalli, Claudia & Lionello, Piero, 2015. "Climate change and Mediterranean agriculture: Impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield," Agricultural Water Management, Elsevier, vol. 147(C), pages 103-115.
    3. Liu, Xiaoying & Xu, Chunying & Zhong, Xiuli & Li, Yuzhong & Yuan, Xiaohuan & Cao, Jingfeng, 2017. "Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement," Agricultural Water Management, Elsevier, vol. 184(C), pages 145-155.
    4. Harmsen, Eric W. & Miller, Norman L. & Schlegel, Nicole J. & Gonzalez, J.E., 2009. "Seasonal climate change impacts on evapotranspiration, precipitation deficit and crop yield in Puerto Rico," Agricultural Water Management, Elsevier, vol. 96(7), pages 1085-1095, July.
    5. Blaney, Harry F. & Criddle, Wayne D., 1962. "Determining Consumptive Use and Irrigation Water Requirements," Technical Bulletins 171000, United States Department of Agriculture, Economic Research Service.
    6. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shima Amani & Hossein Shafizadeh-Moghadam & Saeid Morid, 2024. "Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(6), pages 1921-1942, April.
    2. Yang, Yang & Luo, Yufeng & Wu, Conglin & Zheng, Hezhen & Zhang, Lei & Cui, Yuanlai & Sun, Ningning & Wang, Li, 2019. "Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China," Agricultural Water Management, Elsevier, vol. 222(C), pages 386-399.
    3. Yang, Yong & Chen, Rensheng & Han, Chuntan & Liu, Zhangwen, 2021. "Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China," Agricultural Water Management, Elsevier, vol. 244(C).
    4. Tappi, Marco & Carucci, Federica & Gatta, Giuseppe & Giuliani, Marcella Michela & Lamonaca, Emilia & Santeramo, Fabio Gaetano, 2023. "Temporal and design approaches and yield-weather relationships," MPRA Paper 117488, University Library of Munich, Germany.
    5. Cameira, Maria do Rosário & Rodrigo, Isabel & Garção, Andreia & Neves, Manuela & Ferreira, Antónia & Paredes, Paula, 2024. "Linking participatory approach and rapid appraisal methods to select potential innovations in collective irrigation systems," Agricultural Water Management, Elsevier, vol. 299(C).
    6. Jeetendra Prakash Aryal & Tek B. Sapkota & Ritika Khurana & Arun Khatri-Chhetri & Dil Bahadur Rahut & M. L. Jat, 2020. "Climate change and agriculture in South Asia: adaptation options in smallholder production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5045-5075, August.
    7. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
    8. Cunha, Angélica Carvalho & Filho, Luís Roberto Almeida Gabriel & Tanaka, Adriana Aki & Goes, Bruno Cesar & Putti, Fernando Ferrari, 2021. "Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Zhang, Xiying & Chen, Suying & Sun, Hongyong & Shao, Liwei & Wang, Yanzhe, 2011. "Changes in evapotranspiration over irrigated winter wheat and maize in North China Plain over three decades," Agricultural Water Management, Elsevier, vol. 98(6), pages 1097-1104, April.
    10. Panagiotis Christias & Ioannis N. Daliakopoulos & Thrassyvoulos Manios & Mariana Mocanu, 2020. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support," Mathematics, MDPI, vol. 8(5), pages 1-26, May.
    11. A. S. Giannikopoulou & F. K. Gad & E. Kampragou & D. Assimacopoulos, 2017. "Risk-Based Assessment of Drought Mitigation Options: the Case of Syros Island, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(2), pages 655-669, January.
    12. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    13. Abhinaya Subedi & José Chávez, 2015. "Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion of the Applicability and Limitations of ET Methods," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(6), pages 1-50, May.
    14. Masoud Derakhshandeh & Mustafa Tombul, 2022. "Calibration of METRIC Modeling for Evapotranspiration Estimation Using Landsat 8 Imagery Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 315-339, January.
    15. Dinpashoh, Yagob, 2006. "Study of reference crop evapotranspiration in I.R. of Iran," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 123-129, July.
    16. Seydou Traore & Yufeng Luo & Guy Fipps, 2017. "Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4891-4908, December.
    17. Zhou, Hanmi & Ma, Linshuang & Niu, Xiaoli & Xiang, Youzhen & Chen, Jiageng & Su, Yumin & Li, Jichen & Lu, Sibo & Chen, Cheng & Wu, Qi, 2024. "A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain," Agricultural Water Management, Elsevier, vol. 296(C).
    18. Liu, Yi & Li, Shiqing & Chen, Fang & Yang, Shenjiao & Chen, Xinping, 2010. "Soil water dynamics and water use efficiency in spring maize (Zea mays L.) fields subjected to different water management practices on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 97(5), pages 769-775, May.
    19. Haghnazari, Farzad & Karandish, Fatemeh & Darzi-Naftchali, Abdullah & Šimůnek, Jiří, 2020. "Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field," Agricultural Water Management, Elsevier, vol. 242(C).
    20. Ruchie Pathak & Nicholas R. Magliocca, 2022. "Assessing the Representativeness of Irrigation Adoption Studies: A Meta-Study of Global Research," Agriculture, MDPI, vol. 12(12), pages 1-31, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11133-:d:1547214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.