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Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation

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  • Yu, Qihua
  • Kang, Shaozhong
  • Hu, Shunjun
  • Zhang, Lu
  • Zhang, Xiaotao

Abstract

Water shortage and serious soil salinization are two general features in arid regions. Crop models can provide constructive suggestions for scientific soil water-salt regulations. In the study an ecohydrological crop model WAVES (the WAter Vegetation Energy and Solute model) was employed to examine the crop responses to soil water-salt dynamics in a severely dry and saline region of southern Xinjiang, China. Observation data of film-mulched cotton with the initial soil salinity of 7.19–9.80 g kg-1 (EC1:5 of 1.56–2.12 dS m-1) were collected in 2009 and 2010 with five different irrigation water salinity treatments 0–11.05 g L-1 (EC of 0–11.85 dS m-1). Results showed that the relative absolute errors of simulated soil water and salt were less than 4.1% and 12.4% in 2010 (calibration), and 11.1% and 13.2% in 2009 (validation). The coefficient of determination of yield in calibration and validation was 0.93 and 0.74, respectively. Simulated dynamics indicated soil salt accumulation at a depth of 40 cm. Results of scenario analysis showed that crop water productivity was the highest when the total irrigation volume was 275–325 mm in all scenarios. Saline water with a certain degree of salinity can be used for irrigation without causing a severe yield reduction (20% reduction). This study provided a scientific basis for water management in areas with severe drought and salinization.

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  • Yu, Qihua & Kang, Shaozhong & Hu, Shunjun & Zhang, Lu & Zhang, Xiaotao, 2021. "Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003656
    DOI: 10.1016/j.agwat.2021.107100
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    3. Liu, Lining & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Wei, Congmin & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Balancing economic benefits and environmental repercussions based on smart irrigation by regulating root zone water and salinity dynamics," Agricultural Water Management, Elsevier, vol. 285(C).
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    5. 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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