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首页> 外文期刊>The Science of the Total Environment >Quantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy (VNIRS) in situ or in laboratory conditions
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Quantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy (VNIRS) in situ or in laboratory conditions

机译：在原位或实验室条件下使用可见和近红外反射光谱（VNIR）或在实验室条件下使用近红外反射光谱法定量土壤有机碳储量

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Urban soils, like other soils, can be sink or source for atmospheric carbon dioxide, and due to urban expansion, are receiving increasing attention. Studying their highly variable attributes requires high-density sampling, which can hardly be achieved using conventional approaches. The objective of this work was to determine the ability of visible and near infrared reflectance spectroscopy (VNIRS) to quantify soil organic carbon (SOC) concentration (gC kg(-1)) and stock (gC dm(-3), or MgC ha(-1) for a given depth layer) in parks and sealed soils of two French cities, Marseille and Nantes, using spectra collected on pit walls or in laboratory conditions (air dried, 2 mm sieved samples).Better VNIRS predictions were achieved using laboratory than in situ spectra (R-2 approximate to 0.8-0.9 vs. 0.7-0.8 in validation), and for sample SOC concentration than stock (R-vai(2) up to 0.83 in situ and 0.95 in the laboratory vs. 0.78 and 0.89, respectively). Stock was conventionally calculated according to four methods that variably account for coarse particles (2 mm); and it was better predicted when coarse particles were not taken into account. This was logical using laboratory spectra, collected on 2 mm sieved samples; but concerning in situ spectra, this suggested the operator tended to put the spectrometer beside the coarsest particles during spectrum acquisition. This point is worth considering for urban soils, often rich in coarse particles.Stocks were then aggregated at the profile level: SOC stock prediction was more accurate at profile than sample level when using laboratory spectra (R-vai(2) = 0.94 vs. 0.89, respectively), probably due to uncertainty compensation; but this was not the case when using in situ spectra, possibly because samples collected for SOC analysis and corresponding VNIRS scans were not at the exact same location.This work demonstrates VNIRS usefulness for quantifying SOC stock time- and cost-effectively, in urban soils especially. (C) 2019 Elsevier B.V. All rights reserved.
机译：与其他土壤一样，城市土壤可以是沉没或源于大气二氧化碳，并且由于城市扩张，正在接受越来越关注。研究其高度变量属性需要高密度采样，这几乎可以使用常规方法实现。这项工作的目的是确定可见和近红外反射光谱（VNIR）来量化土壤有机碳（SOC）浓度（GC kg（-1））和原料（GC DM（-3）或MGC HA的能力（-1）对于给定深度层）在公园和两个法国城市的密封土壤中，使用坑壁或实验室条件上收集的光谱（空气干燥，2mm筛分的样品）。使用VNIR预测实验室比原位光谱（R-2近似为0.8-0.9与0.7-0.8在验证中），而样品SOC浓度比库存（R-Vai（2）在实验室中最高0.83和0.95）和0.89分别）。通常根据四种方法计算粗颗粒（> 2 mm）的四种方法计算库存;当未考虑粗粒颗粒时，最好预测。这是使用实验室光谱的逻辑，收集在2 mm筛分的样品上;但是关于原位光谱，这表明操作员倾向于在频谱采集期间将光谱仪放在较粗糙的颗粒旁边。这一点值得考虑城市土壤，通常富含粗粒粒子。然后在轮廓水平聚合时汇集：SoC库存预测在使用实验室光谱时比样品水平更准确（R-Vai（2）= 0.94 Vs. 0.89分别），可能是由于不确定性补偿;但是，当使用原位光谱时，这不是这种情况，因为用于SOC分析和相应的VNIRS扫描收集的样本并不在完全相同的位置。本工作证明了在城市土壤中且成本有效地定量SoC股票的用途和成本有效的vnirs有用性。尤其。 （c）2019 Elsevier B.v.保留所有权利。

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