首页> 外文会议>International Union for Soil Sciences Inaugural Global Workshop on Digital Soil Morphometrics >Soil Profile Imaging for Estimating the Depth Distributions of Clay, Iron, and Hydrological Conditions of Soils Under Rice in Northern Taiwan
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Soil Profile Imaging for Estimating the Depth Distributions of Clay, Iron, and Hydrological Conditions of Soils Under Rice in Northern Taiwan

机译:北部稻米米粘土,铁和水文条件深度分布的土壤剖面成像

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Soil color variation, clay illuviation, and translocation of Fe and Mn are influenced by hydrological conditions. Soil profile imaging has been considered to predict the distribution of clay, Fe and Mn oxides, and hydrological conditions. Ten TJltisoland Alfisol profiles were selected at elevations ranging from 15 m to 40 m a.s.l. at Chungli Terrace, northern Taiwan. Sixty soil horizons were collected for redoxi-morphic features (RMFs) identification and analysis of soil texture and selective extraction of Fe and Mn oxides. All soil properties were correlated with the RMFs. There was a significantly positive correlation between gray mottle (GM) (value >5, chroma <3) amounts and annual reduction duration (ARD) (r= 0.80**, p < 0.01) and a negative correlation between red mottle (RM) (value >4, chroma >3) amounts and ARD (r=0.15**,p < 0.01) at surface horizons (within 30 cm). A significantly positive correlation was also found between RM and clay content (r = 0.32*, p < 0.05), indicating clay might determine the formation of RM. Moreover, the ratios of iron activity (Feo/Fe_d) and iron crystalline ((Fed-Fe0)/Fet) could also be good indices for ARD prediction. The Mn_d/Fe_d seemed an index of frequent fluctuation of water table in soil profiles. Using image analysis technique, replacing naked eye identification of RMF could improve correlations between soil color and hydrological conditions.
机译:土壤颜色变化,粘土裂化和Fe和Mn的易位受水文条件的影响。已经考虑了土壤轮廓成像预测粘土,Fe和Mn氧化物的分布和水文条件。在从15米到40米A.L的高度范围内选择十个TJLTISOLAND alfisol型材。在台湾北部Chungli Terrace。六十土壤视野,用于氧化辛 - 形态特征(RMFS)鉴定和土壤纹理分析及Fe和Mn氧化物的选择性提取。所有土壤属性与RMF相关。灰色斑块(GM)(价值> 5,色度<3)量和年度还原持续时间(r = 0.80 **,p <0.01)之间存在显着的正相关性和红色斑点(RM)之间的负相关性(值> 4,色度> 3)表面状况(30厘米内)的ARD(r = 0.15 **,p <0.01)。在RM和粘土含量(R = 0.32 *,P <0.05)之间也发现了显着的阳性相关性,表明粘土可以确定RM的形成。此外,铁活性(FeO / Fe_D)和铁结晶((FED-FE0)/ FET)的比例也可以是ARD预测的良好指标。 MN_D / FE_D似乎是土壤剖面频繁波动的索引。使用图像分析技术,取代RMF的肉眼鉴定可以改善土壤颜色和水文条件之间的相关性。

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