IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v277y2023ics0378377422006680.html
   My bibliography  Save this article

An improved model to simulate soil water and heat: A case study for drip-irrigated tomato grown in a greenhouse

Author

Listed:
  • Gong, Xuewen
  • Li, Xiaoming
  • Li, Yu
  • Bo, Guokui
  • Qiu, Rangjian
  • Huang, Zongdong
  • Gao, Shikai
  • Wang, Shunsheng

Abstract

Soil physical, chemical, and biological processes are influenced by soil water and heat conditions, which greatly depend on the crop root systems in different soil layers. Hence, understanding root distribution, soil water and heat dynamics is essential to improve water and nutrient use efficiency. A case study of tomato grown in a greenhouse with drip irrigation was conducted to test an improved two-dimensional (2D) model, namely UZflow-2D, for simulating the soil water and heat dynamics. The performance of UZflow-2D model was also compared with the well-known Hydrus-2D model. A 2D root length density (RLD) function, as a main subsidiary model of UZflow-2D, was proposed by investigating the roots distribution from lateral and radial latitudes at the four main growth stages (seedling, flowering, fruit-setting, and picking). Experimental data in 2015 was used to calibrate the parameters of UZflow-2D and Hydrus-2D models, and validated using the data of 2016. Results showed that more than 70% of the total RLD was concentrated in soil layers of 0–20 cm during the seedling, 0–40 cm during the flowering, and 0–60 cm during the fruit-setting and picking stages. The 2D RLD function perform well for locations within and between two rows, with determination coefficients higher than 0.77. Both UZflow-2D and Hydrus-2D models perform well in simulating soil water and soil temperature dynamics, while UZflow-2D model produced improved accuracy in modeling the soil water and heat dynamics within and between two rows of drip-irrigated tomato plants. The overall root mean square error (RMSE) was ∼0.008 cm3 cm−3 for soil water contents, and ∼0.434 °C for soil temperature for UZflow-2D model. However, the overall RMSE was ∼0.012 cm3 cm−3 for soil water contents, and ∼0.504 °C for soil temperature for Hydrus-2D model. Hence, the UZflow-2D model can be served as an alternatively useful tool to simulate water and heat dynamics.

Suggested Citation

  • Gong, Xuewen & Li, Xiaoming & Li, Yu & Bo, Guokui & Qiu, Rangjian & Huang, Zongdong & Gao, Shikai & Wang, Shunsheng, 2023. "An improved model to simulate soil water and heat: A case study for drip-irrigated tomato grown in a greenhouse," Agricultural Water Management, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006680
    DOI: 10.1016/j.agwat.2022.108121
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422006680
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.108121?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Qin, Shujing & Li, Sien & Cheng, Lei & Zhang, Lu & Qiu, Rangjian & Liu, Pan & Xi, Haiyang, 2023. "Partitioning evapotranspiration in partially mulched interplanted croplands by improving the Shuttleworth-Wallace model," Agricultural Water Management, Elsevier, vol. 276(C).
    2. Jha, Shiva K. & Gao, Yang & Liu, Hao & Huang, Zhongdong & Wang, Guangshuai & Liang, Yueping & Duan, Aiwang, 2017. "Root development and water uptake in winter wheat under different irrigation methods and scheduling for North China," Agricultural Water Management, Elsevier, vol. 182(C), pages 139-150.
    3. 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.
    4. Liu, Hao & Li, Huanhuan & Ning, Huifeng & Zhang, Xiaoxian & Li, Shuang & Pang, Jie & Wang, Guangshuai & Sun, Jingsheng, 2019. "Optimizing irrigation frequency and amount to balance yield, fruit quality and water use efficiency of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 226(C).
    5. Delgoda, Dilini & Saleem, Syed K. & Malano, Hector & Halgamuge, Malka N., 2016. "Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data," Agricultural Water Management, Elsevier, vol. 163(C), pages 344-353.
    6. Qiu, Rangjian & Du, Taisheng & Kang, Shaozhong & Chen, Renqiang & Wu, Laosheng, 2015. "Assessing the SIMDualKc model for estimating evapotranspiration of hot pepper grown in a solar greenhouse in Northwest China," Agricultural Systems, Elsevier, vol. 138(C), pages 1-9.
    7. Gong, Xuewen & Qiu, Rangjian & Sun, Jingsheng & Ge, Jiankun & Li, Yanbin & Wang, Shunsheng, 2020. "Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 235(C).
    8. Dabach, Sharon & Shani, Uri & Lazarovitch, Naftali, 2015. "Optimal tensiometer placement for high-frequency subsurface drip irrigation management in heterogeneous soils," Agricultural Water Management, Elsevier, vol. 152(C), pages 91-98.
    9. Qiu, Rangjian & Li, Longan & Wu, Lifeng & Agathokleous, Evgenios & Liu, Chunwei & Zhang, Baozhong & Luo, Yufeng & Sun, Shanlei, 2022. "Modeling daily global solar radiation using only temperature data: Past, development, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    10. Zotarelli, Lincoln & Scholberg, Johannes M. & Dukes, Michael D. & Muñoz-Carpena, Rafael & Icerman, Jason, 2009. "Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(1), pages 23-34, January.
    11. Singh, D.K. & Rajput, T.B.S. & Singh, D.K. & Sikarwar, H.S. & Sahoo, R.N. & Ahmad, T., 2006. "Simulation of soil wetting pattern with subsurface drip irrigation from line source," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 130-134, May.
    12. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    13. Li, Bo & Wim, Voogt & Shukla, Manoj Kumar & Du, Taisheng, 2021. "Drip irrigation provides a trade-off between yield and nutritional quality of tomato in the solar greenhouse," Agricultural Water Management, Elsevier, vol. 249(C).
    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. Xia, Tianyang & He, Ming & Li, Yiming & Sun, Dapeng & Sun, Zhouping & Liu, Xingan & Li, Tianlai, 2024. "New design concept and thermal performance of a composite wall applied in solar greenhouse," Energy, Elsevier, vol. 300(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 & Luo, Yufeng & Wu, Jingwei & Zhang, Baozhong & Liu, Zhihe & Agathokleous, Evgenios & Yang, Xiumei & Hu, Wei & Clothier, Brent, 2023. "Short–term forecasting of daily evapotranspiration from rice using a modified Priestley–Taylor model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Gong, Xuewen & Li, Xiaoming & Qiu, Rangjian & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Ge, Jiankun, 2022. "Ventilation and irrigation management strategy for tomato cultivated in greenhouses," Agricultural Water Management, Elsevier, vol. 273(C).
    3. 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).
    4. Li, Shengping & Tan, Deshui & Wu, Xueping & Degré, Aurore & Long, Huaiyu & Zhang, Shuxiang & Lu, Jinjing & Gao, Lili & Zheng, Fengjun & Liu, Xiaotong & Liang, Guopeng, 2021. "Negative pressure irrigation increases vegetable water productivity and nitrogen use efficiency by improving soil water and NO3–-N distributions," Agricultural Water Management, Elsevier, vol. 251(C).
    5. Guo, Lijie & Cao, Hongxia & Helgason, Warren D. & Yang, Hui & Wu, Xuanyi & Li, Hongzheng, 2022. "Effect of drip-line layout and irrigation amount on yield, irrigation water use efficiency, and quality of short-season tomato in Northwest China," Agricultural Water Management, Elsevier, vol. 270(C).
    6. Li Yang & Haijun Liu & Shabtai Cohen & Zhuangzhuang Gao, 2022. "Microclimate and Plant Transpiration of Tomato ( Solanum lycopersicum L.) in a Sunken Solar Greenhouse in North China," Agriculture, MDPI, vol. 12(2), pages 1-21, February.
    7. Zhang, Junwei & Xiang, Lingxiao & Zhu, Chenxi & Li, Wuqiang & Jing, Dan & Zhang, Lili & Liu, Yong & Li, Tianlai & Li, Jianming, 2023. "Evaluating the irrigation schedules of greenhouse tomato by simulating soil water balance under drip irrigation," Agricultural Water Management, Elsevier, vol. 283(C).
    8. Yi, Ping & Liu, Hao & Liu, Shengxing & Han, Yang & Zhang, Xianbo & Yang, Guang & Wang, Chunting & Kader, Abdoul & Qiang, Xiaoman & Wang, Jinglei, 2024. "Assessment for aerodynamic and canopy resistances in simulating latent heat flux of Venlo-type greenhouse tomato," Agricultural Water Management, Elsevier, vol. 297(C).
    9. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
    10. 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.
    11. Li, Huanhuan & Liu, Hao & Gong, Xuewen & Li, Shuang & Pang, Jie & Chen, Zhifang & Sun, Jingsheng, 2021. "Optimizing irrigation and nitrogen management strategy to trade off yield, crop water productivity, nitrogen use efficiency and fruit quality of greenhouse grown tomato," Agricultural Water Management, Elsevier, vol. 245(C).
    12. Mingze Yao & Manman Gao & Jingkuan Wang & Bo Li & Lizhen Mao & Mingyu Zhao & Zhanyang Xu & Hongfei Niu & Tieliang Wang & Lei Sun & Dongshuang Niu, 2023. "Estimating Evapotranspiration of Greenhouse Tomato under Different Irrigation Levels Using a Modified Dual Crop Coefficient Model in Northeast China," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    13. Sun, Lei & Li, Bo & Yao, Mingze & Niu, Dongshuang & Gao, Manman & Mao, Lizhen & Xu, Zhanyang & Wang, Tieliang & Wang, Jingkuan, 2023. "Optimising water and nitrogen management for greenhouse tomatoes in Northeast China using EWM−TOPSIS−AISM model," Agricultural Water Management, Elsevier, vol. 290(C).
    14. Zhang, Chuan & Li, Xinyu & Yan, Haofang & Ullah, Ikram & Zuo, Zhiyu & Li, Lanlan & Yu, Jianjun, 2020. "Effects of irrigation quantity and biochar on soil physical properties, growth characteristics, yield and quality of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 241(C).
    15. Zhu, Keyu & Zhao, Yuhong & Ma, Yongbo & Zhang, Qi & Kang, Zhen & Hu, Xiaohui, 2022. "Drip irrigation strategy for tomatoes grown in greenhouse on the basis of fuzzy Borda and K-means analysis method," Agricultural Water Management, Elsevier, vol. 267(C).
    16. Dou, Zhiyao & Feng, Hanlong & Zhang, Hao & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun & Fan, Junliang, 2023. "Silicon application mitigated the adverse effects of salt stress and deficit irrigation on drip-irrigated greenhouse tomato," Agricultural Water Management, Elsevier, vol. 289(C).
    17. Gong, Xuewen & Qiu, Rangjian & Zhang, Baozhong & Wang, Shunsheng & Ge, Jiankun & Gao, Shikai & Yang, Zaiqiang, 2021. "Energy budget for tomato plants grown in a greenhouse in northern China," Agricultural Water Management, Elsevier, vol. 255(C).
    18. Yuan Li & Mingzhi Zhang & Zhenguang Lu & Yushun Zhang & Jingwei Wang, 2022. "Effects of Irrigation Strategy and Plastic Film Mulching on Soil N 2 O Emissions and Fruit Yields of Greenhouse Tomato," Agriculture, MDPI, vol. 12(2), pages 1-15, February.
    19. Gong, Xuewen & Qiu, Rangjian & Sun, Jingsheng & Ge, Jiankun & Li, Yanbin & Wang, Shunsheng, 2020. "Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 235(C).
    20. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).

    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:277:y:2023:i:c:s0378377422006680. 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.