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Evaluation of saline water irrigation on cotton growth and yield using the AquaCrop crop simulation model
Agricultural Water Management ( IF 6.7 ) Pub Date : 2021-11-23 , DOI: 10.1016/j.agwat.2021.107355
Junpeng Zhang 1, 2 , Kejiang Li 2 , Yang Gao 3 , Di Feng 3 , Chunlian Zheng 2 , Caiyun Cao 2 , Jingsheng Sun 3 , Hongkai Dang 2 , Abdoul Kader Mounkaila Hamani 3
Affiliation  

It is imperative to evaluate the practicality of brackish water irrigation for alleviating the conflict between freshwater resources shortages and food production. Four years experiments were carried out on cotton from 2012 to 2015 seasons with four salinity levels in irrigation water, including 1.3 dS m-1 (CK), 5.4 dS m-1 (S1), 8.8 dS m-1 (S2), and 12.4 dS m-1 (S3) in lowland plain of Hebei in the North China Plain (NCP). Parameters of the FAO AquaCrop model were calibrated with a dataset collected in the 2012 season, and the model was validated with independent data from the next three seasons. Under the condition of saline water irrigation, the simulation of canopy cover, soil water content, soil electric conductivity, biomass, and yield was accurate (the coefficient of determination (R2) > 0.65, the index of agreement (d) > 0.89). The scenario simulations with different salinity levels in irrigation water were run in growing degree days mode in AquaCrop with climatic data from 1958 to 2010. In the high (483 mm) and normal (430 mm) rainfall years, salt was drained out of the soil profile. Whereas, salt was accumulated in the soil profile under the scenario of S2 and S3, while was leaving out the root zone in the scenario of CK and S1 in the low (324 mm) rainfall years. With the salinity of 4.5 dS m-1, the difference between salt inside and outside of the soil profile tends to be zero. Based on the scenario simulations, the relationships between crop evapotranspiration (ETa) and cotton yield and between ETa and water productivity were fitted with a quadratic curve. It is concluded from the scenario simulations that there are real risks in soil salinization for cotton production in the lowland plain of Hebei in the NCP due to saline water irrigation.



中文翻译:

使用 AquaCrop 作物模拟模型评估盐水灌溉对棉花生长和产量的影响

评估苦咸水灌溉的实用性对于缓解淡水资源短缺与粮食生产之间的矛盾势在必行。对 2012 年至 2015 年的棉花进行了 4 年的试验,灌溉水含 4 个盐度,包括 1.3 dS m -1 (CK)、5.4 dS m -1 (S1)、8.8 dS m -1 (S2) 和12.4 分秒-1(S3) 位于华北平原 (NCP) 的河北低地平原。粮农组织 AquaCrop 模型的参数使用 2012 年收集的数据集进行校准,并使用来自未来三个季节的独立数据验证该模型。在咸水灌溉条件下,对冠层盖度、土壤含水量、土壤电导率、生物量和产量的模拟准确(决定系数(R 2)> 0.65,一致性指数(d) > 0.89)。灌溉水中不同盐度水平的情景模拟在 AquaCrop 的生长期日模式下运行,气候数据为 1958 年至 2010 年。在高(483 毫米)和正常(430 毫米)降雨年,盐分从土壤中排出轮廓。而在 S2 和 S3 情景下,盐分在土壤剖面中积累,而在 CK 和 S1 情景下,盐分在低降雨年(324 mm)下没有根区。当盐度为 4.5 dS m -1 时,土壤剖面内外盐分之差趋于零。基于情景模拟,作物蒸散量(ET a)与棉花产量的关系以及ET a和水生产率用二次曲线拟合。情景模拟结果表明,华北平原河北低地平原棉花生产土壤盐渍化存在实际风险,原因是咸水灌溉。

更新日期:2021-11-24
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