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首页> 外文期刊>Journal of near infrared spectroscopy >Assessing soil water repellency of a sandy field with visible near infrared spectroscopy
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Assessing soil water repellency of a sandy field with visible near infrared spectroscopy

机译:用可见光近红外光谱法评估沙田的土壤疏水性

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摘要

Soil water repellency (WR) is a widespread phenomenon caused by aggregated organic matter (OM) and layers of hydrophobic organic substances coating the surface of soil particles. These substances have a very low surface free energy, reducing a soil's water attraction. There is focus on WR due to its effects on germination, root growth, liquid- vapour dynamics, surface erosion and leaching of chemicals through fingered flow paths. However, common techniques for measuring WR are time-consuming and expensive. Meanwhile, it is well established that visible near infrared (vis-NIR) spectroscopy is a reliable method for determining soil OM. Potentially it could therefore provide fast measurements of WR through autocorrelation with OM. The aim of this study was to test the feasibility of vis-NIR spectroscopy for estimating the WR of soils with a small gradient in soil organic carbon (SOC) and texture, and to evaluate the effect of soil pretreatment on the predictive ability of WR models. A total of 87 soil samples from an agricultural coarse sandy field in Denmark were analysed for SOC, particle size fractions, water content and WR. Soil samples were scanned with a vis-NIR sensor (350-2500 nm) after air-and oven-drying at 60 degrees C and 105 degrees C. WR, expressed as liquid surface tension (mN m(-1)), was determined using the molarity of ethanol droplet test. Partial least squares regression models of SOC, texture and water content showed no predictive ability (r(2) values between 0.10 and 0.51). However, successful models (r(2) = 0.85) were generated for WR. The majority of bands important in the vis-NIR region of WR models were related to different components of OM indicating that, across the investigated field, WR was related to specific hydrophobic components of soil OM rather than to the total amount of carbon. A lower prediction error of the WR model for soils dried at 105 degrees C (1.93 mN m(-1)) than at 60 degrees C (2.52 mN m(-1)) can be explained by a lower range of WR values for the soils dried at 105 degrees C. Moreover, a higher temperature reduced the number of absorption bands related to OM, indicating a degradation of hydrocarbon groups and a more hydrophobic character of the soil.
机译:土壤疏水性(WR)是一种普遍现象,由聚集的有机物(OM)和覆盖土壤颗粒表面的疏水性有机物质层引起。这些物质的表面自由能非常低,减少了土壤对水的吸引力。由于WR对发芽,根生长,液蒸气动力学,表面侵蚀和通过指状流路的化学物质浸出具有影响,因此对其进行了重点研究。但是,用于测量WR的常用技术既耗时又昂贵。同时,众所周知,可见近红外(vis-NIR)光谱法是测定土壤OM的可靠方法。因此,它有可能通过与OM自相关来提供WR的快速测量。这项研究的目的是检验vis-NIR光谱法估算土壤有机碳(SOC)和质地较小梯度的土壤WR的可行性,并评估土壤预处理对WR模型的预测能力的影响。总共对来自丹麦一个农业粗沙田的87个土壤样品进行了SOC,粒径分数,水含量和WR的分析。在60摄氏度和105摄氏度的空气和烤箱中干燥后,使用vis-NIR传感器(350-2500 nm)扫描土壤样品。确定了WR,表示为液体表面张力(mN m(-1))用乙醇滴度摩尔浓度试验。 SOC,质地和水含量的偏最小二乘回归模型显示没有预测能力(r(2)值在0.10和0.51之间)。但是,为WR生成了成功的模型(r(2)= 0.85)。在WR模型的vis-NIR区域中,重要的大多数谱带与OM的不同成分有关,这表明在整个研究领域中,WR与土壤OM的特定疏水成分有关,而不与碳的总量有关。对于在105摄氏度(1.93 mN m(-1))下干燥的土壤,在WR模型中的预测误差比在60摄氏度(2.52 mN m(-1))下干燥的土壤的预测误差低,这是因为土壤在105摄氏度下干燥。此外,较高的温度降低了与OM相关的吸收带的数量,表明烃基的降解和土壤的疏水性更高。

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