IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v98y2010i1p12-18.html
   My bibliography  Save this article

Modeling cherry orchard evapotranspiration based on an improved dual-source model

Author

Listed:
  • Li, Xianyue
  • Yang, Peiling
  • Ren, Shumei
  • Li, Yunkai
  • Liu, Honglu
  • Du, Jun
  • Li, Pingfeng
  • Wang, Caiyuan
  • Ren, Liang

Abstract

The partitioning of canopy transpiration (Ec) and soil evaporation (Es) is often important to estimate evapotranspiration for hydrologic, ecologic, forest, and agricultural applications. Although Shuttleworth-Wallace (SW) model can estimate the partitioning of Ec and Es, some parameters due to the complicated model structure are not easily obtained. Therefore, this has limited the further development of SW model. In this study, an improved dual-source model (SSW) was proposed for ET estimation. This simpler model structure with less parameters than SW model can estimate Ec and Es, separately, and only requires conventional meteorological data. The estimations of Ec and Es for the observation period were consistent with the data measured from sap flow and micro-lysimeter, respectively, in a commercial cherry orchard in Beijing, China. Also daily ET estimated from the SSW, SW, and Penman-Monteith (PM) model were compared and analyzed. The results showed there was a small difference between SSW and SW model, but their accuracy were both higher than PM model's, and the root mean square error (RMSE) was 0.641, 0.613 and 0.955 mm/day, respectively. Sensitivity analysis for SSW model showed that the variation of ET was less than 2% when parameters varied in the range of ±20%. So, the SSW model is not only simple but also high accurate and stable, and it appears suitable to estimate cherry orchard ET.

Suggested Citation

  • Li, Xianyue & Yang, Peiling & Ren, Shumei & Li, Yunkai & Liu, Honglu & Du, Jun & Li, Pingfeng & Wang, Caiyuan & Ren, Liang, 2010. "Modeling cherry orchard evapotranspiration based on an improved dual-source model," Agricultural Water Management, Elsevier, vol. 98(1), pages 12-18, December.
    • Handle: RePEc:eee:agiwat:v:98:y:2010:i:1:p:12-18
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(10)00250-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Villalobos, F.J. & Testi, L. & Moreno-Perez, M.F., 2009. "Evaporation and canopy conductance of citrus orchards," Agricultural Water Management, Elsevier, vol. 96(4), pages 565-573, April.
    2. Utset, Angel & Farre, Imma & Martinez-Cob, Antonio & Cavero, Jose, 2004. "Comparing Penman-Monteith and Priestley-Taylor approaches as reference-evapotranspiration inputs for modeling maize water-use under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 66(3), pages 205-219, May.
    3. Kato, Tomomichi & Kimura, Reiji & Kamichika, Makio, 2004. "Estimation of evapotranspiration, transpiration ratio and water-use efficiency from a sparse canopy using a compartment model," Agricultural Water Management, Elsevier, vol. 65(3), pages 173-191, March.
    4. Rousseaux, M. Cecilia & Figuerola, Patricia I. & Correa-Tedesco, Guillermo & Searles, Peter S., 2009. "Seasonal variations in sap flow and soil evaporation in an olive (Olea europaea L.) grove under two irrigation regimes in an arid region of Argentina," Agricultural Water Management, Elsevier, vol. 96(6), pages 1037-1044, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bian, Jiang & Hu, Xiaolong & Shi, Liangsheng & Min, Leilei & Zhang, Yucui & Shen, Yanjun & Zhao, Fenghua & Zha, Yuanyuan & Lian, Xie & Huang, Jiesheng, 2024. "Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain," Agricultural Water Management, Elsevier, vol. 295(C).
    2. Gong, Xuewen & Liu, Hao & Sun, Jingsheng & Gao, Yang & Zhang, Hao, 2019. "Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse," Agricultural Water Management, Elsevier, vol. 217(C), pages 141-153.
    3. Wang, Hong & Wang, Chenbing & Zhao, Xiumei & Wang, Falin, 2015. "Mulching increases water-use efficiency of peach production on the rainfed semiarid Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 154(C), pages 20-28.
    4. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).
    5. Liao, Renkuan & Wu, Wenyong & Hu, Yaqi & Xu, Di & Huang, Qiannan & Wang, Shiyu, 2019. "Micro-irrigation strategies to improve water-use efficiency of cherry trees in Northern China," Agricultural Water Management, Elsevier, vol. 221(C), pages 388-396.
    6. Chen, Han & Huang, Jinhui Jeanne & McBean, Edward, 2020. "Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland," Agricultural Water Management, Elsevier, vol. 228(C).
    7. Liao, Renkuan & Wu, Wenyong & Hu, Yaqi & Huang, Qiannan & Yan, Hua, 2019. "Quantifying moisture availability in soil profiles of cherry orchards under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 225(C).
    8. Measham, P.F. & Wilson, S.J. & Gracie, A.J. & Bound, S.A., 2014. "Tree water relations: Flow and fruit," Agricultural Water Management, Elsevier, vol. 137(C), pages 59-67.
    9. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    10. Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Guo, Li & Zhao, Long & Wu, Zongjun & Jiang, Xuelian & Wen, Shenglin & Zhao, Lu & Gong, Daozhi, 2024. "Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model," Agricultural Water Management, Elsevier, vol. 295(C).
    11. Mashabatu, Munashe & Ntshidi, Zanele & Dzikiti, Sebinasi & Jovanovic, Nebojsa & Dube, Timothy & Taylor, Nicky J., 2023. "Deriving crop coefficients for evergreen and deciduous fruit orchards in South Africa using the fraction of vegetation cover and tree height data," Agricultural Water Management, Elsevier, vol. 286(C).

    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. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    2. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
    3. Agüero Alcaras, L. Martín & Rousseaux, M. Cecilia & Searles, Peter S., 2021. "Yield and water productivity responses of olive trees (cv. Manzanilla) to post-harvest deficit irrigation in a non-Mediterranean climate," Agricultural Water Management, Elsevier, vol. 245(C).
    4. Tahiri, Adel Zeggaf & Anyoji, H. & Yasuda, H., 2006. "Fixed and variable light extinction coefficients for estimating plant transpiration and soil evaporation under irrigated maize," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 186-192, July.
    5. Ali Rahimikhoob, 2014. "Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 657-669, February.
    6. Jafari, Mohammad & Kamali, Hamidreza & Keshavarz, Ali & Momeni, Akbar, 2021. "Estimation of evapotranspiration and crop coefficient of drip-irrigated orange trees under a semi-arid climate," Agricultural Water Management, Elsevier, vol. 248(C).
    7. Chen, Yongfan & Zhang, Zeshan & Wang, Xuejiao & Sun, Shuai & Zhang, Yutong & Wang, Sen & Yang, Mingfeng & Ji, Fen & Ji, Chunrong & Xiang, Dao & Zha, Tianshan & Zhang, Lizhen, 2022. "Sap velocity, transpiration and water use efficiency of drip-irrigated cotton in response to chemical topping and row spacing," Agricultural Water Management, Elsevier, vol. 267(C).
    8. Gao, Lei & Zhao, Peng & Kang, Shaozhong & Li, Sien & Tong, Ling & Ding, Risheng & Lu, Hongna, 2019. "Surface soil water content dominates the difference between ecosystem and canopy water use efficiency in a sparse vineyard," Agricultural Water Management, Elsevier, vol. 226(C).
    9. Gong, Xuewen & Qiu, Rangjian & Ge, Jiankun & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Wang, Shunsheng, 2021. "Evapotranspiration partitioning of greenhouse grown tomato using a modified Priestley–Taylor model," Agricultural Water Management, Elsevier, vol. 247(C).
    10. Hlavinka, Petr & Trnka, Miroslav & Balek, Jan & Semerádová, Daniela & Hayes, Michael & Svoboda, Mark & Eitzinger, Josef & Mozný, Martin & Fischer, Milan & Hunt, Eric & Zalud, Zdenek, 2011. "Development and evaluation of the SoilClim model for water balance and soil climate estimates," Agricultural Water Management, Elsevier, vol. 98(8), pages 1249-1261, May.
    11. Ali Rahimikhoob & Mahmood Behbahani & Javad Fakheri, 2012. "An Evaluation of Four Reference Evapotranspiration Models in a Subtropical Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2867-2881, August.
    12. Teixeira, Antônio & Leivas, Janice & Struiving, Tiago & Reis, João & Simão, Fúlvio, 2021. "Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images," Agricultural Water Management, Elsevier, vol. 247(C).
    13. Jamshidi, Sajad & Zand-Parsa, Shahrokh & Kamgar-Haghighi, Ali Akbar & Shahsavar, Ali Reza & Niyogi, Dev, 2020. "Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 227(C).
    14. Sara, Ourrai & Bouchra, Aithssaine & Abdelhakim, Amazirh & Salah, Er-RAKI & Lhoussaine, Bouchaou & Frederic, Jacob & Abdelghani, Chehbouni, 2024. "Assessment of the modified two-source energy balance (TSEB) model for estimating evapotranspiration and its components over an irrigated olive orchard in Morocco," Agricultural Water Management, Elsevier, vol. 298(C).
    15. Zanotelli, Damiano & Montagnani, Leonardo & Andreotti, Carlo & Tagliavini, Massimo, 2019. "Evapotranspiration and crop coefficient patterns of an apple orchard in a sub-humid environment," Agricultural Water Management, Elsevier, vol. 226(C).
    16. Gharsallah, O. & Facchi, A. & Gandolfi, C., 2013. "Comparison of six evapotranspiration models for a surface irrigated maize agro-ecosystem in Northern Italy," Agricultural Water Management, Elsevier, vol. 130(C), pages 119-130.
    17. El Hajj, Marcel M. & Johansen, Kasper & Almashharawi, Samer K. & McCabe, Matthew F., 2023. "Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data," Agricultural Water Management, Elsevier, vol. 288(C).
    18. Yin, Xuanpeng & Chen, Junji & Ye, Yunyu & Zhu, Hongfeng & Li, Junyu & Zhang, Lizhen & Zhang, Hao & He, Shuilian & Wu, Hongzhi, 2024. "Optimizing bent branch numbers improves transpiration and crop water productivity of cut rose (Rosa hybrida) in greenhouse," Agricultural Water Management, Elsevier, vol. 296(C).
    19. Ochege, Friday Uchenna & Luo, Geping & Yuan, Xiuliang & Owusu, George & Li, Chaofan & Justine, Francis Meta, 2022. "Simulated effects of plastic film-mulched soil on surface energy fluxes based on optimized TSEB model in a drip-irrigated cotton field," Agricultural Water Management, Elsevier, vol. 262(C).
    20. Peddinti, Srinivasa Rao & Kambhammettu, BVN P, 2019. "Dynamics of crop coefficients for citrus orchards of central India using water balance and eddy covariance flux partition techniques," Agricultural Water Management, Elsevier, vol. 212(C), pages 68-77.

    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:eee:agiwat:v:98:y:2010:i:1:p:12-18. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.