高级检索+

疏松土层厚度及其压实量对灌水沉降的影响

Effects of loose soil layer thickness and compaction on soil subsidence after irrigation

  • 摘要: 农田耕整是水稻生产的首要环节,其中稻田旱整作业的应用范围不断扩大。然而,稻田旱整灌后常产生差异性沉降,显著降低农田平整度,影响水稻生长管理效率与产量。为此,该研究通过田间试验探究土壤沉降差异的主要因素,并结合容器试验建立其与土壤沉降之间的关系。基于此,研究提出通过压实(定义为压实厚度)来控制土壤沉降,构建疏松土层、压实厚度与土壤沉降(膨胀)的非线性回归模型,并通过容器试验验证其预测准确性。结果表明,稻田旱耕整及灌后土壤沉降存在显著差异,同一田块内疏松土层厚度是影响沉降差异的主要因素,且与土壤沉降呈显著线性正相关。施加压实处理后,沉降量随压实厚度增加而减小,当压实厚度超过一定范围后,土壤出现膨胀现象。模型验证结果显示,预设沉降量与实测沉降量的绝对误差分别为0.64和0.25 mm,均方根误差分别为1.43和0.39 mm,表明回归关系模型具有较高的预测精度与可靠性。该研究构建的关系模型可为智能耕整技术提供理论依据,实现灌溉后土壤沉降的精准控制,从而提高农田平整度。此外,土壤沉降的量化分析还可为起垄种植作物的时空精准管理提供科学支撑。

     

    Abstract: Soil preparation is one of the most critical steps in rice production. The dry-land leveling operations have also been continuously expanding in paddy fields. However, the differential soil subsidence can often occur during irrigation after dry tillage. Field levelness can be significantly reduced on the efficiency of the rice growth and yield. In this study, a systematic investigation was implemented on the influencing factors on the differential soil subsidence. A series of the field tests were carried out to determine the effects of the loos soil layer thickness and compaction on the soil subsidence after irrigation. The relationship was then established between these factors and soil subsidence. The soil subsidence was controlled using moderate compaction (defined as compaction thickness). A nonlinear regression model was constructed between loose soil layer thickness, compaction thickness, and soil subsidence (or expansion). A container test was finally conducted to validate the feasibility. Field tests revealed that there was the significant differential soil subsidence that caused by dry tillage and subsequent irrigation. In terms of the terrain changes, the rotary tillage increased the average terrain height of the field by 47 mm, whereas, the post-irrigation decreased 14 mm. Additionally, the areas with the greater height after rotary tillage also exhibited the significantly higher subsidence after irrigation. In the soil physical properties, the Mann-Kendall test was used to locate the abrupt variations in the soil penetration resistance, indicating the thickness of the loose soil layer. The field tests showed that the loose soil layer was typically 0–50 mm thick before rotary tillage, thus increasing to 125–175 mm afterward. There was the negligible subsidence after irrigation before tillage. But there was the significant subsidence after tillage and irrigation. As such, the thickness of the loose soil layer was the primary factor on the differential soil subsidence. The thickness of the loose soil layer was taken as the key variable with the real-world needs from the perspective of the practical production. Furthermore, the agricultural machinery that equipped with sensors was utilized to real-time measure the thickness of the loose soil layer for the soil subsidence. The container tests show that there was the relationship between loose soil layer thickness and soil subsidence. There was the significant positive linear correlation between them, with a determination coefficient of 0.97. Once the loose soil layer thickness was 50 mm, the subsidence was nearly negligible; When the thickness increased to 300 mm, the soil subsidence reached 36.15 mm, thus exceeding the requirement of the high-standard farmland leveling (±30 mm). Additionally, the soil subsidence was controlled after moderate compaction, defined as the compaction thickness. Container test results showed that the post-irrigation subsidence of the loose soil layer decreased gradually, as the compaction thickness increased. Once the compaction thickness exceeded the critical value, the soil expansion began to occur. A nonlinear regression analysis was conducted for the relationship between loose soil layer thickness, compaction thickness, and soil subsidence (or expansion). A determination coefficient of 0.964 and a root mean square error of 2.4 mm were achieved for the excellent accuracy. According to the principle of subsidence uniformity, the model validation tests demonstrated that there were the absolute errors between calculated and measured subsidence of 0.64 and 0.25 mm, respectively, with the root mean square errors of 1.43 and 0.39 mm, respectively, indicating the high precision and reliability. The findings can provide a scientific basis to develop and apply the soil preparation using intelligent technologies. The precise control of the post-irrigation soil subsidence and field levelness can be expected to enhance the production efficiency and profitability. Moreover, the quantification of the soil subsidence can also offer the spatial and temporal guidance for the precision field of the ridge-planted crops.

     

/

返回文章
返回