Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-431-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-431-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2023
Research article |
| 19 Jan 2023
| 19 Jan 2023
Numerical assessment of morphological and hydraulic properties of moss, lichen and peat from a permafrost peatland
Simon Cazaurang
CORRESPONDING AUTHOR
Toulouse Institute of Fluid Mechanics (IMFT), National Polytechnic
Institute of Toulouse, Toulouse, 31400, France
Manuel Marcoux
Toulouse Institute of Fluid Mechanics (IMFT), National Polytechnic
Institute of Toulouse, Toulouse, 31400, France
Oleg S. Pokrovsky
Geosciences Environnement Toulouse (GET) Laboratory, University
Toulouse III – Paul Sabatier, Toulouse, 31400, France
BIO-GEO-CLIM Laboratory, Tomsk State University, Tomsk, Russian
Federation
Sergey V. Loiko
BIO-GEO-CLIM Laboratory, Tomsk State University, Tomsk, Russian
Federation
Artem G. Lim
BIO-GEO-CLIM Laboratory, Tomsk State University, Tomsk, Russian
Federation
Stéphane Audry
Geosciences Environnement Toulouse (GET) Laboratory, University
Toulouse III – Paul Sabatier, Toulouse, 31400, France
Liudmila S. Shirokova
Geosciences Environnement Toulouse (GET) Laboratory, University
Toulouse III – Paul Sabatier, Toulouse, 31400, France
Laverov Federal Center for Integrated Arctic Research of the
Ural Branch – Russian Academy of Science, Russian Federation
Laurent Orgogozo
Geosciences Environnement Toulouse (GET) Laboratory, University
Toulouse III – Paul Sabatier, Toulouse, 31400, France
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Permafrost (permanently frozen soil at depth) is thawing as a result of climate change. However, estimating its future degradation is particularly challenging due to the complex multi-physical processes involved. In this work, we designed and ran numerical simulations for months on a supercomputer to quantify the impact of climate change in a forested valley of central Siberia. There, climate change could increase the thickness of the seasonally thawed soil layer in summer by up to 65 % by 2100.
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In order to quantify C transport and emission and main environmental factors controlling the C cycle in Siberian rivers, we investigated the largest tributary of the Ob River, the Ket River basin, by measuring spatial and seasonal variations in carbon CO2 and CH4 concentrations and emissions together with hydrochemical analyses. The obtained results are useful for large-scale modeling of C emission and export fluxes from permafrost-free boreal rivers of an underrepresented region of the world.
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We monitor the spatio-temporal variability of organic and inorganic carbon (C) species in the tropical Nyong River (Cameroon), across groundwater and increasing stream orders. We show the significant contribution of wetland as a C source for tropical rivers. Thus, ignoring the river–wetland connectivity might lead to the misrepresentation of C dynamics in tropical watersheds. Finally, total fluvial carbon losses might offset ~10 % of the net C sink estimated for the whole Nyong watershed.
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In order to quantify riverine carbon (C) exchange with the atmosphere in permafrost regions, we report a first assessment of CO2 and CH4 concentration and fluxes of the largest permafrost-affected river, the Lena River, during the peak of spring flow. The results allowed identification of environmental factors controlling GHG concentrations and emission in the Lena River watershed; this new knowledge can be used for foreseeing future changes in C balance in permafrost-affected Arctic rivers.
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Short summary
Moss, lichen and peat samples are reconstructed using X-ray tomography. Most samples can be cut down to a representative volume based on porosity. However, only homogeneous samples could be reduced to a representative volume based on hydraulic conductivity. For heterogeneous samples, a devoted pore network model is computed. The studied samples are mostly highly porous and water-conductive. These results must be put into perspective with compressibility phenomena occurring in field tests.
Moss, lichen and peat samples are reconstructed using X-ray tomography. Most samples can be cut...
