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Hydrology of peat estimated from near-surface water contents
Hydrological Sciences Journal ( IF 3.5 ) Pub Date : 2022-07-08 , DOI: 10.1080/02626667.2022.2099281
Dimitre D. Dimitrov, Peter Lafleur, Oliver Sonnentag, Julie Talbot, William L. Quinton

Abstract

Simple and robust hydrological modelling is critical for peat studies as water content (θ) and water table depth (dWT) 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 dWT 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. 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 dWT in peat.



中文翻译:

从近地表水含量估计的泥炭水文

摘要

简单而稳健的水文建模对于泥炭研究至关重要,因为含水量 ( θ ) 和地下水位深度 ( dWT ) 是许多生物地球化学过程的关键控制因素我们表明,近地表θ可以很好地预测任何深度的θ和/或泥炭中的d WT。这是通过进一步开发现有模型的公式并将其应用于 Mer Bleue 沼泽(加拿大安大略省)和斯科蒂溪(加拿大西北地区)的永久冻土泥炭高原来实现的。在两个地点的小丘和空洞中不同深度的模拟θ动力学与 R 2的观察结果相匹配,Willmott 的一致性指数 ( d),归一化 Nash-Sutcliffe 效率系数 (NNSE) 分别达到 0.97、0.95 和 0.86。模拟的沼泽 WT 动力学与 R 2d和 NNSE 的观测值相匹配,分别达到 0.67、0.87 和 0.72。我们的方法绕过了测量地下水文的困难,并揭示了泥炭中θd WT的大空间尺度估计的前景。

更新日期:2022-07-08
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