Using Modeling Tools to Better Understand Permafrost Hydrology
Modification of the hydrological cycle and, subsequently, of other global cycles is expected in Arctic watersheds owing to global change. Future climate scenarios imply widespread permafrost degradation caused by an increase in air temperature, and the expected effect on permafrost hydrology is imme...
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doaj-3707ef8fa4b04a458eebfa0694625d962020-11-24T23:53:49ZengMDPI AGWater2073-44412017-06-019641810.3390/w9060418w9060418Using Modeling Tools to Better Understand Permafrost HydrologyClément Fabre0Sabine Sauvage1Nikita Tananaev2Raghavan Srinivasan3Roman Teisserenc4José Miguel Sánchez Pérez5ECOLAB, Université de Toulouse, CNRS, INPT, UPS, 31055 Toulouse, FranceECOLAB, Université de Toulouse, CNRS, INPT, UPS, 31055 Toulouse, FranceP.I. Melnikov Permafrost Institute, SB RAS, Merzlotnaya Str. 36, 677010 Yakutsk, Sakha Republic, RussiaSpatial Science Laboratory in the Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77845, USAECOLAB, Université de Toulouse, CNRS, INPT, UPS, 31055 Toulouse, FranceECOLAB, Université de Toulouse, CNRS, INPT, UPS, 31055 Toulouse, FranceModification of the hydrological cycle and, subsequently, of other global cycles is expected in Arctic watersheds owing to global change. Future climate scenarios imply widespread permafrost degradation caused by an increase in air temperature, and the expected effect on permafrost hydrology is immense. This study aims at analyzing, and quantifying the daily water transfer in the largest Arctic river system, the Yenisei River in central Siberia, Russia, partially underlain by permafrost. The semi-distributed SWAT (Soil and Water Assessment Tool) hydrological model has been calibrated and validated at a daily time step in historical discharge simulations for the 2003–2014 period. The model parameters have been adjusted to embrace the hydrological features of permafrost. SWAT is shown capable to estimate water fluxes at a daily time step, especially during unfrozen periods, once are considered specific climatic and soils conditions adapted to a permafrost watershed. The model simulates average annual contribution to runoff of 263 millimeters per year (mm yr−1) distributed as 152 mm yr−1 (58%) of surface runoff, 103 mm yr−1 (39%) of lateral flow and 8 mm yr−1 (3%) of return flow from the aquifer. These results are integrated on a reduced basin area downstream from large dams and are closer to observations than previous modeling exercises.http://www.mdpi.com/2073-4441/9/6/418permafrostmodelinghydrologywaterYenisei RiverSWAT |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Clément Fabre Sabine Sauvage Nikita Tananaev Raghavan Srinivasan Roman Teisserenc José Miguel Sánchez Pérez |
spellingShingle |
Clément Fabre Sabine Sauvage Nikita Tananaev Raghavan Srinivasan Roman Teisserenc José Miguel Sánchez Pérez Using Modeling Tools to Better Understand Permafrost Hydrology Water permafrost modeling hydrology water Yenisei River SWAT |
author_facet |
Clément Fabre Sabine Sauvage Nikita Tananaev Raghavan Srinivasan Roman Teisserenc José Miguel Sánchez Pérez |
author_sort |
Clément Fabre |
title |
Using Modeling Tools to Better Understand Permafrost Hydrology |
title_short |
Using Modeling Tools to Better Understand Permafrost Hydrology |
title_full |
Using Modeling Tools to Better Understand Permafrost Hydrology |
title_fullStr |
Using Modeling Tools to Better Understand Permafrost Hydrology |
title_full_unstemmed |
Using Modeling Tools to Better Understand Permafrost Hydrology |
title_sort |
using modeling tools to better understand permafrost hydrology |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2017-06-01 |
description |
Modification of the hydrological cycle and, subsequently, of other global cycles is expected in Arctic watersheds owing to global change. Future climate scenarios imply widespread permafrost degradation caused by an increase in air temperature, and the expected effect on permafrost hydrology is immense. This study aims at analyzing, and quantifying the daily water transfer in the largest Arctic river system, the Yenisei River in central Siberia, Russia, partially underlain by permafrost. The semi-distributed SWAT (Soil and Water Assessment Tool) hydrological model has been calibrated and validated at a daily time step in historical discharge simulations for the 2003–2014 period. The model parameters have been adjusted to embrace the hydrological features of permafrost. SWAT is shown capable to estimate water fluxes at a daily time step, especially during unfrozen periods, once are considered specific climatic and soils conditions adapted to a permafrost watershed. The model simulates average annual contribution to runoff of 263 millimeters per year (mm yr−1) distributed as 152 mm yr−1 (58%) of surface runoff, 103 mm yr−1 (39%) of lateral flow and 8 mm yr−1 (3%) of return flow from the aquifer. These results are integrated on a reduced basin area downstream from large dams and are closer to observations than previous modeling exercises. |
topic |
permafrost modeling hydrology water Yenisei River SWAT |
url |
http://www.mdpi.com/2073-4441/9/6/418 |
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AT clementfabre usingmodelingtoolstobetterunderstandpermafrosthydrology AT sabinesauvage usingmodelingtoolstobetterunderstandpermafrosthydrology AT nikitatananaev usingmodelingtoolstobetterunderstandpermafrosthydrology AT raghavansrinivasan usingmodelingtoolstobetterunderstandpermafrosthydrology AT romanteisserenc usingmodelingtoolstobetterunderstandpermafrosthydrology AT josemiguelsanchezperez usingmodelingtoolstobetterunderstandpermafrosthydrology |
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