A statistical approach to determining the uncertainty of peat thickness

This paper presents statistical studies of peat thickness to define its expected maximum variation (∆dm(∆r)) as a function of separation distance Δr. The aim was to provide an estimate of the observational uncertainty in peat depth due to positioning error, and the prediction uncertainty of the comp...

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Main Author: J. Torppa
Format: Article
Language:English
Published: International Mire Conservation Group and International Peatland Society 2011-06-01
Series:Mires and Peat
Subjects:
Online Access:http://www.mires-and-peat.net/map08/map_08_04.pdf
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author J. Torppa
author_facet J. Torppa
author_sort J. Torppa
collection DOAJ
description This paper presents statistical studies of peat thickness to define its expected maximum variation (∆dm(∆r)) as a function of separation distance Δr. The aim was to provide an estimate of the observational uncertainty in peat depth due to positioning error, and the prediction uncertainty of the computed model. The data were GPS position and ground penetrating radar depth measurements of six mires in different parts of Finland. The calculated observational uncertainty for Finnish mires in general caused, for example, by a 20 m positioning error, is 43 cm in depth with 95 % confidence. The peat depth statistics differed among the six mires, and it is recommended that the mire specific function ∆dm(∆r) is defined for each individual mire to obtain the best estimate of observational uncertainty. Knowledge of the observational error and function ∆dm(∆r) should be used in peat depth modelling for defining the uncertainty of depth predictions.
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spelling doaj.art-1e97d1724386493392f4cb25e9bff2ed2023-09-02T06:15:22ZengInternational Mire Conservation Group and International Peatland SocietyMires and Peat1819-754X2011-06-01804122A statistical approach to determining the uncertainty of peat thicknessJ. TorppaThis paper presents statistical studies of peat thickness to define its expected maximum variation (∆dm(∆r)) as a function of separation distance Δr. The aim was to provide an estimate of the observational uncertainty in peat depth due to positioning error, and the prediction uncertainty of the computed model. The data were GPS position and ground penetrating radar depth measurements of six mires in different parts of Finland. The calculated observational uncertainty for Finnish mires in general caused, for example, by a 20 m positioning error, is 43 cm in depth with 95 % confidence. The peat depth statistics differed among the six mires, and it is recommended that the mire specific function ∆dm(∆r) is defined for each individual mire to obtain the best estimate of observational uncertainty. Knowledge of the observational error and function ∆dm(∆r) should be used in peat depth modelling for defining the uncertainty of depth predictions.http://www.mires-and-peat.net/map08/map_08_04.pdfdepthmathematicsmiremodellingobservationsstatistics
spellingShingle J. Torppa
A statistical approach to determining the uncertainty of peat thickness
Mires and Peat
depth
mathematics
mire
modelling
observations
statistics
title A statistical approach to determining the uncertainty of peat thickness
title_full A statistical approach to determining the uncertainty of peat thickness
title_fullStr A statistical approach to determining the uncertainty of peat thickness
title_full_unstemmed A statistical approach to determining the uncertainty of peat thickness
title_short A statistical approach to determining the uncertainty of peat thickness
title_sort statistical approach to determining the uncertainty of peat thickness
topic depth
mathematics
mire
modelling
observations
statistics
url http://www.mires-and-peat.net/map08/map_08_04.pdf
work_keys_str_mv AT jtorppa astatisticalapproachtodeterminingtheuncertaintyofpeatthickness
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