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Legacy data for 3D modelling of peat properties with uncertainty estimation in Dava bog - Scotland
Geoderma Regional ( IF 4.1 ) Pub Date : 2020-05-04 , DOI: 10.1016/j.geodrs.2020.e00288
Laura Poggio , Alessandro Gimona , Inge Aalders , Jane Morrice , Rupert Hough

Peatlands are an important potential sink or source of carbon and play a significant role in climate change regulation. Understanding peatland as 3D-landforms is as important as mapping their spatial extent. The main aim of this work was to estimate a 3D representation of peat properties and assess the associated spatial uncertainty, to provide baseline information for climate and land use change analyses. In this study a combination of 3D Generalized Additive Models and 3D geostatistics was applied to a raised basin bog using legacy data to map carbon content. The study presents a novel approach based on methods providing quantification of the spatial uncertainty and the possibility to model complex relationships. The approach fully exploits the 3D spatial relationships between the survey points while supported by environmental variables. The methods proved to be general and highly flexible.

The results of this study showed that it is possible to model peat properties to obtain a detailed volumetric assessment of the peat, including carbon stocks from a limited set of legacy data. The estimates of spatial uncertainty are important when including the results in further environmental and climate-change models or for decision making to provide alternatives and prioritisation.



中文翻译:

Dava沼泽中泥炭特性的3D建模旧数据和不确定性估计-苏格兰

泥炭地是重要的潜在碳汇或碳源,在气候变化调控中发挥重要作用。与3D地形一样,了解泥炭地与绘制其空间范围同样重要。这项工作的主要目的是估计泥炭特性的3D表示并评估相关的空间不确定性,为气候和土地利用变化分析提供基准信息。在这项研究中,将3D广义加性模型和3D地统计学结合在一起,使用遗留数据绘制碳含量,将其应用于高架盆地沼泽。这项研究提出了一种基于方法的新颖方法,该方法提供了对空间不确定性的量化以及对复杂关系进行建模的可能性。该方法充分利用了调查点之间的3D空间关系,并得到了环境变量的支持。

这项研究的结果表明,可以对泥炭特性进行建模,以获得详细的泥炭体积评估,包括从有限的一组遗留数据中获得的碳储量。当将结果包括在进一步的环境和气候变化模型中或用于提供替代方案和优先次序的决策时,空间不确定性的估计很重要。

更新日期:2020-05-04
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