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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Estimating the water characteristic curve for soil containing residual plastic film based on an improved pore-size distribution
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Estimating the water characteristic curve for soil containing residual plastic film based on an improved pore-size distribution

机译:基于改进的孔径分布估算含有残留塑料膜的水特性曲线

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Although plastic-film mulching has played an important role in agriculture production in arid areas, the practice has resulted in the accumulation of large amounts of residual plastic film (RPF) in the soil. This intensely impedes the movement of the water and solutes in soil by seriously affecting the physical and hydraulic properties of soil, in particular the soil water characteristic curve (SWCC). Despite the severity of the problem, studies on how RPF affects soil properties and the SWCC remain scarce. This paper thus aims to achieve a better understanding of the influences of RPF on soil pores and SWCC. In this study, SWCCs were measured under five concentrations of RPF (0 kg.hm(-2), 50 kg.hm(-2), 100 kg.hm(-2), 200 kg.hm(-2) and 400 kg.hm(-2)) and three soil textures (sandy soil, sandy loam and loam soil) based on the pressure plate extractor test. A model for estimating SWCC for soil with residual plastic film (RPF-SWCC) based on an improved pore-size distribution is proposed, and its performance was evaluated and compared with those for existing models, including the van Genuchten (VG), Brooks-Corey (BC) and log normal distribution (LND) models. The results showed that there is a clear influence by the RPF in soil on the shape of the SWCC, and the order of the different soil types in regards to soil water holding capacity was loam soil > sandy loam > sandy soil, with or without RPF. The RPF-SWCC model accounted for the effects of water blocking by RPF, thereby achieving improved fitting accuracy compared to that by the VG, BC and LND models, especially for soil with high RPF concentration. The average Nash-Sutcliffe efficiency coefficient (NSE), mean absolute percentage error (MAPE) and symmetric mean absolute percentage error (SMAPE) for achieved for the RPF-SWCC model were 0.9943, 3.37% and 3.43%, respectively, which was an improvement on the 0.9938, 5.94% and 5.06% achieved for the VG model, 0.9926, 4.43% and 4.25% for the BC model and 0.9923, 15.00% and 7.53% for the LND model, respectively. In addition, the correlation between the parameters of the RPF-SWCC model and RPF concentration showed that the saturated soil water content and residual soil water content decreased and increased with increasing RPF concentration, respectively. In addition, soil RPF increased and decreased the proportion of macropores and soil water holding capacity, respectively. This study can provide a theoretical and technical basis for research into soil water movement and the efficient utilization of water and fertilizer in areas with high agricultural film residue.
机译:虽然塑料薄膜覆盖在干旱地区的农业生产中发挥了重要作用,但实践导致土壤中大量残留塑料膜(RPF)的积累。这种强烈地阻碍了水和溶质在土壤中的运动,严重影响了土壤的物理和液压特性,特别是土壤水分特征曲线(SWCC)。尽管问题的严重性,但如何研究RPF如何影响土壤性质,SWCC仍然稀缺。因此,本文旨在更好地了解RPF对土壤毛孔和SWCC的影响。在该研究中,SWCC在5个浓度的RPF(0kg.hm(-2),50kg.hm(-2),100kg.hm(-2),200kg.hm(-2)和400中测量基于压板提取器试验的kg.hm(-2))和三种土纹理(砂土,砂土和壤土土壤)。提出了一种基于改进的孔径分布的残余塑料薄膜(RPF-SWCC)估算土壤SWCC模型,并评价其性能,与现有型号的性能,包括Van Genuchten(VG),Brooks- Corey(BC)和日志正态分布(LND)模型。结果表明,SWCC形状的土壤中的RPF存在明显的影响,对土壤水持有量的不同土壤类型的顺序是泥土土壤>砂质壤土>砂土,有或没有RPF 。 RPF-SWCC模型占RPF的水阻塞的影响,与VG,BC和LND模型相比,实现了改善的拟合精度,特别是对于具有高RPF浓度的土壤。对于RPF-SWCC模型实现的平均NASH-Sutcliffe效率系数(NSE),平均绝对百分比误差(MAPE)和对称的平均绝对百分比误差(SMAPH)分别为0.9943,3.37%和3.43%,这是一种改进在0.9938,5.94%和5.06%的VG型号,0.9926,4.43%和4.25%,分别为LND模型0.9923,15.00%和7.53%。此外,RPF-SWCC模型的参数与RPF浓度之间的相关性表明,随着RPF浓度的增加,饱和土壤含水量和残余土壤含水量分别降低并增加。此外,土壤RPF分别增加并降低了大孔和土壤含水量的比例。本研究可以为研究土壤水运动和高农业薄膜残留区地区的水和肥的有效利用提供理论和技术基础。

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