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Simulation of water balance in a maize field under film-mulching drip irrigation

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  • He, Qinsi
  • Li, Sien
  • Kang, Shaozhong
  • Yang, Hanbo
  • Qin, Shujing

Abstract

Film-mulching drip irrigation technology has been widely promoted and used in arid regions. However, few studies have simulated the water balance process under film-mulching drip irrigation. In our study, the water movement in different soil layers and the distributions of evaporation and transpiration were evaluated using the HYDRUS-2D model. Long-term continuous observations of evapotranspiration, soil evaporation, crop transpiration and soil moisture in a maize field under film-mulching drip irrigation were conducted using an eddy covariance system, micro-lysimeters, stem-flow gauges and soil water sensors from 2014 to 2016 in northwest China. Experimental data were collected to calibrate and validate the model. Results showed that the accuracy of HYDRUS-2D was satisfactory in deep soil layers and that the RMSEs (root mean square errors) of the 20 cm, 40 cm, 60 cm and 80 cm soil layers were 0.022 cm3 cm−3, 0.018 cm3 cm−3, 0.014 cm3 cm−3 and 0.010 cm3 cm−3, respectively. Thus, the model could be improved to better simulate soil water in surface soil layers. The results suggest that HYDRUS-2D can generally be used to simulate the actual evaporation (Ea), transpiration (Ta) and evapotranspiration (ETa) in a maize field under film-mulching drip irrigation, with the REs (relative errors) of 1.7%, -11.06% and -8.27%, respectively. The simulation error of ETa mainly stemmed from the simulation error of Ta, and the error contribution was 91.02%. Therefore, further studies that consider the effects of film-mulching drip irrigation are needed to improve the root water uptake and the ET calculation modules and enhance the accuracy of the HYDRUS-2D model.

Suggested Citation

  • He, Qinsi & Li, Sien & Kang, Shaozhong & Yang, Hanbo & Qin, Shujing, 2018. "Simulation of water balance in a maize field under film-mulching drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 252-260.
    • Handle: RePEc:eee:agiwat:v:210:y:2018:i:c:p:252-260
    DOI: 10.1016/j.agwat.2018.08.005
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    6. 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).
    7. 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).
    8. Zhang, Jinxia & Du, Liangliang & Xing, Zisheng & Zhang, Rui & Li, Fuqiang & Zhong, Tao & Ren, Fangfang & Yin, Meng & Ding, Lin & Liu, Xingrong, 2023. "Effects of dual mulching with wheat straw and plastic film under three irrigation regimes on soil nutrients and growth of edible sunflower," Agricultural Water Management, Elsevier, vol. 288(C).
    9. Yi, Jun & Li, Huijie & Zhao, Ying & Shao, Ming'an & Zhang, Hailin & Liu, Muxing, 2022. "Assessing soil water balance to optimize irrigation schedules of flood-irrigated maize fields with different cultivation histories in the arid region," Agricultural Water Management, Elsevier, vol. 265(C).
    10. Liyuan Bo & Xiaomin Mao & Yali Wang, 2022. "Assessing the Applicability of Biodegradable Film Mulching in Northwest China Based on Comprehensive Benefits Study," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    11. Ning, Songrui & Zhou, Beibei & Shi, Jianchu & Wang, Quanjiu, 2021. "Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang," Agricultural Water Management, Elsevier, vol. 245(C).
    12. Guo, Hui & Li, Sien & Kang, Shaozhong & Du, Taisheng & Liu, Wenfeng & Tong, Ling & Hao, Xinmei & Ding, Risheng, 2022. "Comparison of several models for estimating gross primary production of drip-irrigated maize in arid regions," Ecological Modelling, Elsevier, vol. 468(C).
    13. Zhang, Junpeng & Li, Kejiang & Gao, Yang & Feng, Di & Zheng, Chunlian & Cao, Caiyun & Sun, Jingsheng & Dang, Hongkai & Hamani, Abdoul Kader Mounkaila, 2022. "Evaluation of saline water irrigation on cotton growth and yield using the AquaCrop crop simulation model," Agricultural Water Management, Elsevier, vol. 261(C).
    14. Yu, Qihua & Kang, Shaozhong & Zhang, Lu & Hu, Shunjun & Li, Yunfeng & Parsons, David, 2023. "Incorporating new functions into the WAVES model, to better simulate cotton production under film mulching and severe salinity," Agricultural Water Management, Elsevier, vol. 288(C).

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