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首页> 外文期刊>Journal of Hydrology >Quantification of 3-D soil macropore networks in different soil types and land uses using computed tomography
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Quantification of 3-D soil macropore networks in different soil types and land uses using computed tomography

机译:使用计算机断层扫描技术定量分析不同土壤类型和土地利用中的3-D土壤大孔网络

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摘要

The importance of soil macropores as preferential pathways for water, air, and chemical movement in different soils has long been recognized. However, quantification of complex macropore structures and their relationships to soil types and land uses remains elusive. The objectives of this study were to (1) quantify 3-D macropore networks in intact soil columns using an improved approach and (2) investigate the effects of soil type and land use on soil macropore characteristics. Two soils with contrasting textures and structures (Hagerstown silt loam and Morrison sand) from two land uses (row crop and pasture) were investigated. Intact soil columns, 102. mm in diameter and about 350. mm in length, were taken for each soil type-land use combination. The soil columns were scanned using X-ray computed tomography at a voxel resolution of 0.234 mm × 0.234 mm × 2.000 mm. After reconstruction, characteristics of macropore networks were quantified, including continuous macroporosity change along depth, macropore size distribution, network density, surface area, length density, length distribution, mean hydraulic radius, tortuosity, inclination (angle), and connectivity (path number and node density). The approach we developed provided an improved quantification of complex 3-D macropore networks. The analysis of variance indicated that soil type, land use, and their interaction significantly influenced macroporosity, network density, surface area, length density, node density, and mean angle. The interaction of soil type and land use also influenced mean tortuosity and hydraulic radius. Within the same soil type, the soils under pasture land use had greater macroporosity, length density, and node density than that under row crop, especially in the subsoil. This was due to greater organic matter content and more biota activities in the pasture. Within the same land use, the Morrison sand displayed lower overall macroporosity than the Hagerstown silt loam because of weaker structure and higher amount of rock fragments in the Morrison soil and thus less suited for biota activities. The results from this study provide improved quantitative evaluation of a suite of soil macropore features that have significant implications for non-equilibrium flow prediction and chemical transport modeling in field soils.
机译:人们早已认识到土壤大孔作为水,空气和化学物质在不同土壤中迁移的优先途径的重要性。但是,对复杂的大孔结构及其与土壤类型和土地利用之间关系的量化仍然难以捉摸。这项研究的目的是(1)使用改进的方法对完整土壤柱中的3-D大孔网络进行量化,以及(2)研究土壤类型和土地利用对土壤大孔特征的影响。研究了两种土地用途(行作物和牧场)形成的两种具有相反质地和结构的土壤(黑格斯敦淤泥质壤土和莫里森沙)。对于每种土壤类型-土地利用组合,采用直径102. mm,长度约350. mm的完整土壤柱。使用X射线计算机断层扫描以0.234 mm×0.234 mm×2.000 mm的体素分辨率扫描土壤柱。重建后,对大孔网络的特征进行了量化,包括沿深度的连续大孔度变化,大孔尺寸分布,网络密度,表面积,长度密度,长度分布,平均水力半径,曲折度,倾斜度(角度)和连通性(路径数和节点密度)。我们开发的方法为复杂的3-D大孔网络提供了改进的量化方法。方差分析表明,土壤类型,土地利用及其相互作用显着影响大孔隙度,网络密度,表面积,长度密度,节点密度和平均角度。土壤类型和土地利用之间的相互作用也影响平均曲折度和水力半径。在相同的土壤类型中,牧场土地利用下的土壤比大田作物(特别是在地下土壤)具有更大的大孔隙度,长度密度和节集密度。这是由于牧场中有机物含量更高和生物区系活动更多。在相同的土地利用范围内,由于莫里森土壤中的结构较弱且岩石碎屑含量较高,因此与哈格斯敦粉质壤土相比,莫里森沙粒的总体孔隙度较低。这项研究的结果为一组土壤大孔特征提供了改进的定量评估,这些特征对田间土壤中的非平衡流预测和化学迁移模型具有重要意义。

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