首页> 外文OA文献 >Relationships between particle size distribution and VNIR reflectance spectra are weaker for soils formed from bedrock compared to transported parent materials
【2h】

Relationships between particle size distribution and VNIR reflectance spectra are weaker for soils formed from bedrock compared to transported parent materials

机译:与运输的母体材料相比,基岩形成的土壤的粒度分布和VNIR反射光谱之间的关系较弱

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The cost of determining particle size distribution (psd) of the soil can be significantly reduced by using statistical relationships between visible and near infra red diffuse reflectance spectra (VNIR-DRS) and the proportions of the three size fractions (sand, silt and clay). The spectra contain information on the quantities of soil minerals which occur in these fractions. Statistical models for estimating psd based on a set of soil samples from common parent materials (PM)—with similar mineralogy—may provide more accurate predictions than more comprehensive, global models. The aim of this paper is to compare the performance of statistical models for the prediction of psd from VNIR-DRS for soils with differing types of parent material; specifically soils derived directly from bedrock (coal-bearing and mudstone-bearing strata) or from transported parent materials (glacial till, glacio-lacustrine deposits and alluvium) across eastern England. We assessed the accuracy of psd predictions using partial least squares regression (PLSR) models between two additive log ratios of the three size fractions and VNIR-DRS. We also formed a global PLSR model from all five soil groups. We used mean residual prediction deviation (RPD) from repeated (n = 100) cross-validation to compare the performance of the models because it accounts for the magnitude of variation in the sample data. The most accurate models for the clay (RPD range 1.82–2.33) and sand fractions (RPD range 1.71–1.94) were for soils developed over the transported PM; the models for soils developed over bedrock were substantially poorer (clay RPD range 1.33–1.68; sand RPD range 1.34–1.39). The RPD values for the silt fraction models were smaller, but the same distinction between transported (better; RPD range 1.4–1.88) and bedrock-derived soils (poorer; RPD range 1.15–1.25) was observed. The global model had intermediate RPD values for the three size fractions (clay = 1.75, silt = 1.76 and sand = 1.74). Of the five groups, the soils developed from glacio-lacustrine deposits had the largest mean sand size fraction (58%), but also the most accurate models for estimation of clay and sand size fractions. Due to sedimentary transport and deposition, the mineralogy of the soils developed from Quaternary substrates may be more homogeneous than the bedrock-derived soils, which may in part account for the more accurate models developed for the former. To date we do not have sufficient evidence to demonstrate this unequivocally.udud
机译:通过使用可见和近红外漫反射光谱(VNIR-DRS)与三个尺寸部分(砂,粉砂和粘土)的比例之间的统计关系,可以显着降低确定土壤粒径分布(psd)的成本。 。光谱包含有关这些部分中土壤矿物质含量的信息。基于来自具有相似矿物学特征的常见母体材料(PM)的一组土壤样品估算psd的统计模型可能比更全面的全局模型提供更准确的预测。本文的目的是比较用于不同母体类型土壤的VNIR-DRS预测psd的统计模型的性能。尤其是直接来自整个英格兰东部的基岩(含煤和含泥岩地层)或运输的母体物质(冰川耕层,冰川湖沉积物和冲积层)的土壤。我们使用三个大小部分的两个加法对数比率和VNIR-DRS之间的偏最小二乘回归(PLSR)模型评估了psd预测的准确性。我们还从所有五个土壤组形成了全球PLSR模型。我们使用来自重复(n = 100)交叉验证的平均残差预测偏差(RPD)来比较模型的性能,因为它考虑了样本数据中变化的幅度。对于黏土(RPD范围为1.82–2.33)和砂​​级分(RPD范围为1.71–1.94),最准确的模型是针对运输的PM上发育的土壤。基岩上发育的土壤模型则较差(粘土RPD范围为1.33-1.68;沙子RPD范围为1.34-1.39)。淤泥分数模型的RPD值较小,但在运移(更好; RPD范围为1.4-1.88)和基岩土(较差; RPD范围为1.15-1.25)之间存在相同的区别。全局模型对于这三个尺寸分数(粘土= 1.75,淤泥= 1.76和沙子= 1.74)具有中间RPD值。在这五组中,由冰湖相沉积形成的土壤具有最大的平均砂度分数(58%),但也是估算粘土和砂度分数最精确的模型。由于沉积物的运移和沉积,从第四纪底物发育的土壤的矿物学特征可能比基岩衍生的土壤更均匀,这可能部分解释了为前者开发的更精确的模型。迄今为止,我们没有足够的证据来明确地证明这一点。 ud ud

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号