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    <titleInfo>
        <title>Hydrology of peat estimated from near-surface water contents</title>
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    <name type="personal">
        <namePart type="given">Dimitre</namePart>
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        <namePart type="given">Peter</namePart>
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        <namePart type="family">Lafleur</namePart>
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    <name type="personal">
        <namePart type="given">Oliver</namePart>
        <namePart type="family">Sonnentag</namePart>
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    <name type="personal">
        <namePart type="given">Julie</namePart>
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            <title>Hydrological Sciences Journal, Volume 67, Issue 11</title>
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            <issuance>continuing</issuance>
            <publisher>Informa UK Limited</publisher>
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        <genre authority="marcgt">periodical</genre>
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    <abstract>ABSTRACT Simple and robust hydrological modelling is critical for peat studies as water content (θ) and water table depth (d WT) are key controls on many biogeochemical processes. We show that near-surface θ can be a good predictor of θ at any depth and/or d WT in peat. This was achieved by further developing the formulae of an existing model and applying it for Mer Bleue bog (Ontario, Canada) and a permafrost peat plateau at Scotty Creek (Northwest Territories, Canada). Simulated θ dynamics at various depths in hummocks and hollows at both sites matched observations with R2 , Willmott’s index of agreement (d), and normalized Nash-Sutcliffe efficiency coefficient (NNSE), reaching 0.97, 0.95, and 0.86, respectively. Simulated bog WT dynamics matched observations with R2 , d, and NNSE reaching 0.67, 0.87, and 0.72. Our approach circumvents the difficulties of measuring subsurface hydrology and reveals a perspective for large spatial scale estimation of θ and d WT in peat.</abstract>
    <identifier type="citekey">Dimitrov-2022-Hydrology</identifier>
    <identifier type="doi">10.1080/02626667.2022.2099281</identifier>
    <location>
        <url>https://gwf-uwaterloo.github.io/gwf-publications/G22-42001</url>
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    <part>
        <date>2022</date>
        <detail type="volume"><number>67</number></detail>
        <detail type="issue"><number>11</number></detail>
        <extent unit="page">
            <start>1702</start>
            <end>1721</end>
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%0 Journal Article
%T Hydrology of peat estimated from near-surface water contents
%A Dimitrov, Dimitre D.
%A Lafleur, Peter M.
%A Sonnentag, Oliver
%A Talbot, Julie
%A Quinton, William L.
%J Hydrological Sciences Journal, Volume 67, Issue 11
%D 2022
%V 67
%N 11
%I Informa UK Limited
%F Dimitrov-2022-Hydrology
%X ABSTRACT Simple and robust hydrological modelling is critical for peat studies as water content (θ) and water table depth (d WT) are key controls on many biogeochemical processes. We show that near-surface θ can be a good predictor of θ at any depth and/or d WT in peat. This was achieved by further developing the formulae of an existing model and applying it for Mer Bleue bog (Ontario, Canada) and a permafrost peat plateau at Scotty Creek (Northwest Territories, Canada). Simulated θ dynamics at various depths in hummocks and hollows at both sites matched observations with R2 , Willmott’s index of agreement (d), and normalized Nash-Sutcliffe efficiency coefficient (NNSE), reaching 0.97, 0.95, and 0.86, respectively. Simulated bog WT dynamics matched observations with R2 , d, and NNSE reaching 0.67, 0.87, and 0.72. Our approach circumvents the difficulties of measuring subsurface hydrology and reveals a perspective for large spatial scale estimation of θ and d WT in peat.
%R 10.1080/02626667.2022.2099281
%U https://gwf-uwaterloo.github.io/gwf-publications/G22-42001
%U https://doi.org/10.1080/02626667.2022.2099281
%P 1702-1721

Markdown (Informal)

[Hydrology of peat estimated from near-surface water contents](https://gwf-uwaterloo.github.io/gwf-publications/G22-42001) (Dimitrov et al., GWF 2022)

• Hydrology of peat estimated from near-surface water contents (Dimitrov et al., GWF 2022)

ACL

• Dimitre D. Dimitrov, Peter M. Lafleur, Oliver Sonnentag, Julie Talbot, and William L. Quinton. 2022. Hydrology of peat estimated from near-surface water contents. Hydrological Sciences Journal, Volume 67, Issue 11, 67(11):1702–1721.