Articles | Volume 24, issue 1
16 Jan 2020
Research article | 16 Jan 2020
Assessing the perturbations of the hydrogeological regime in sloping fens due to roads
Fabien Cochand et al.
No articles found.
Thomas Hermans, Pascal Goderniaux, Damien Jougnot, Jan H. Fleckenstein, Philip Brunner, Frédéric Nguyen, Niklas Linde, Johan Alexander Huisman, Olivier Bour, Jorge Lopez Alvis, Richard Hoffmann, Andrea Palacios, Anne-Karin Cooke, Álvaro Pardo-Álvarez, Lara Blazevic, Behzad Pouladi, Peleg Haruzi, Alejandro Fernandez Visentini, Guilherme E. H. Nogueira, Joel Tirado-Conde, Majken C. Looms, Meruyert Kenshilikova, Philippe Davy, and Tanguy Le Borgne
Hydrol. Earth Syst. Sci., 27, 255–287,Short summary
Although invisible, groundwater plays an essential role for society as a source of drinking water or for ecosystems but is also facing important challenges in terms of contamination. Characterizing groundwater reservoirs with their spatial heterogeneity and their temporal evolution is therefore crucial for their sustainable management. In this paper, we review some important challenges and recent innovations in imaging and modeling the 4D nature of the hydrogeological systems.
Guilherme E. H. Nogueira, Christian Schmidt, Daniel Partington, Philip Brunner, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 26, 1883–1905,Short summary
In near-stream aquifers, mixing between stream water and ambient groundwater can lead to dilution and the removal of substances that can be harmful to the water ecosystem at high concentrations. We used a numerical model to track the spatiotemporal evolution of different water sources and their mixing around a stream, which are rather difficult in the field. Results show that mixing mainly develops as narrow spots, varying In time and space, and is affected by magnitudes of discharge events.
K. Koutantou, G. Mazzotti, and P. Brunner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 477–484,
James M. Thornton, Gregoire Mariethoz, Tristan J. Brauchli, and Philip Brunner
The Cryosphere Discuss.,
Manuscript not accepted for further reviewShort summary
Meltwater runoff from steep mountainous terrain holds great societal and ecological importance. Predicting snow dynamics in unmonitored areas and/or under changed climate requires computer simulations. Yet variability in alpine snow patterns poses a considerable challenge. Here we combine existing tools with high-resolution observations to both constrain and quantify the uncertainty in historical simulations. Snowpack evolution was satisfactorily reproduced and uncertainty substantially reduced.
W. Kurtz, H.-J. Hendricks Franssen, P. Brunner, and H. Vereecken
Hydrol. Earth Syst. Sci., 17, 3795–3813,
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Modelling approachesRecession discharge from compartmentalized bedrock hillslopesFrozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet PlateauOn the similarity of hillslope hydrologic function: a clustering approach based on groundwater changesSpatiotemporal changes in flow hydraulic characteristics and soil loss during gully headcut erosion under controlled conditionsEstimation of rainfall erosivity based on WRF-derived raindrop size distributionsPhysically based model for gully simulation: application to the Brazilian semiarid regionA review of the (Revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimatesHybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecastingMulti-source data assimilation for physically based hydrological modeling of an experimental hillslopeA new method, with application, for analysis of the impacts on flood risk of widely distributed enhanced hillslope storageTowards improved parameterization of a macroscale hydrologic model in a discontinuous permafrost boreal forest ecosystemReconstructing long-term gully dynamics in Mediterranean agricultural areasEvaluating performance of simplified physically based models for shallow landslide susceptibilityMultiresponse modeling of variably saturated flow and isotope tracer transport for a hillslope experiment at the Landscape Evolution ObservatoryDeterminants of modelling choices for 1-D free-surface flow and morphodynamics in hydrology and hydraulics: a reviewUse of satellite and modeled soil moisture data for predicting event soil loss at plot scaleQuantification of the influence of preferential flow on slope stability using a numerical modelling approachHydrological hysteresis and its value for assessing process consistency in catchment conceptual modelsDerivation and evaluation of landslide-triggering thresholds by a Monte Carlo approachStable water isotope tracing through hydrological models for disentangling runoff generation processes at the hillslope scaleAnalysis of landslide triggering conditions in the Sarno area using a physically based modelThe influence of grid resolution on the prediction of natural and road-related shallow landslidesIncipient subsurface heterogeneity and its effect on overland flow generation – insight from a modeling study of the first experiment at the Biosphere 2 Landscape Evolution ObservatoryCoupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians, USAPredicting subsurface stormflow response of a forested hillslope – the role of connected flow pathsInterplay of riparian forest and groundwater in the hillslope hydrology of Sudanian West Africa (northern Benin)A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollutionA paradigm shift in stormflow predictions for active tectonic regions with large-magnitude storms: generalisation of catchment observations by hydraulic sensitivity analysis and insight into soil-layer evolutionDerivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systemsStatistical analysis and modelling of surface runoff from arable fields in central EuropeHydrological modelling of a slope covered with shallow pyroclastic deposits from field monitoring dataPhysically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest, Puerto RicoCharacterization of groundwater dynamics in landslides in varved claysA critical assessment of simple recharge models: application to the UK ChalkThe effect of spatial throughfall patterns on soil moisture patterns at the hillslope scaleSnow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systemsSuspended sediment concentration–discharge relationships in the (sub-) humid Ethiopian highlandsA model of hydrological and mechanical feedbacks of preferential fissure flow in a slow-moving landslideScale effect on overland flow connectivity at the plot scalePhysical models for classroom teaching in hydrologyCoupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of ChinaEffects of peatland drainage management on peak flowsA conceptual model of the hydrological influence of fissures on landslide activityA structure generator for modelling the initial sediment distribution of an artificial hydrologic catchmentA novel explicit approach to model bromide and pesticide transport in connected soil structuresQuantifying spatial and temporal discharge dynamics of an event in a first order stream, using distributed temperature sensingEffect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic modelA steady-state saturation model to determine the subsurface travel time (STT) in complex hillslopesComparison of algorithms and parameterisations for infiltration into organic-covered permafrost soils
Clément Roques, David E. Rupp, Jean-Raynald de Dreuzy, Laurent Longuevergne, Elizabeth R. Jachens, Gordon Grant, Luc Aquilina, and John S. Selker
Hydrol. Earth Syst. Sci., 26, 4391–4405,Short summary
Streamflow dynamics are directly dependent on contributions from groundwater, with hillslope heterogeneity being a major driver in controlling both spatial and temporal variabilities in recession discharge behaviors. By analysing new model results, this paper identifies the major structural features of aquifers driving streamflow dynamics. It provides important guidance to inform catchment-to-regional-scale models, with key geological knowledge influencing groundwater–surface water interactions.
Hongkai Gao, Chuntan Han, Rensheng Chen, Zijing Feng, Kang Wang, Fabrizio Fenicia, and Hubert Savenije
Hydrol. Earth Syst. Sci., 26, 4187–4208,Short summary
Frozen soil hydrology is one of the 23 unsolved problems in hydrology (UPH). In this study, we developed a novel conceptual frozen soil hydrological model, FLEX-Topo-FS. The model successfully reproduced the soil freeze–thaw process, and its impacts on hydrologic connectivity, runoff generation, and groundwater. We believe this study is a breakthrough for the 23 UPH, giving us new insights on frozen soil hydrology, with broad implications for predicting cold region hydrology in future.
Fadji Z. Maina, Haruko M. Wainwright, Peter James Dennedy-Frank, and Erica R. Siirila-Woodburn
Hydrol. Earth Syst. Sci., 26, 3805–3823,Short summary
We propose a hillslope clustering approach based on the seasonal changes in groundwater levels and test its performance by comparing it to several common clustering approaches (aridity index, topographic wetness index, elevation, land cover, and machine-learning clustering). The proposed approach is robust as it reasonably categorizes hillslopes with similar elevation, land cover, hydroclimate, land surface processes, and subsurface hydrodynamics, hence a similar hydrologic function.
Mingming Guo, Zhuoxin Chen, Wenlong Wang, Tianchao Wang, Qianhua Shi, Hongliang Kang, Man Zhao, and Lanqian Feng
Hydrol. Earth Syst. Sci., 25, 4473–4494,Short summary
Gully headcut erosion is always a difficult issue in soil erosion, which hinders the revelation of gully erosion mechanisms and the establishment of a gully erosion model. This study clarified the spatiotemporal changes in flow properties, energy consumption, and soil loss, confirming that gully head consumed the most of flow energy (78 %) and can contribute 89 % of total soil loss. Critical energy consumption initiating soil erosion of the upstream area, gully head, and gully bed is confirmed.
Qiang Dai, Jingxuan Zhu, Shuliang Zhang, Shaonan Zhu, Dawei Han, and Guonian Lv
Hydrol. Earth Syst. Sci., 24, 5407–5422,Short summary
Rainfall is a driving force that accounts for a large proportion of soil loss around the world. Most previous studies used a fixed rainfall–energy relationship to estimate rainfall energy, ignoring the spatial and temporal changes of raindrop microphysical processes. This study proposes a novel method for large-scale and long-term rainfall energy and rainfall erosivity investigations based on rainfall microphysical parameterization schemes in the Weather Research and Forecasting (WRF) model.
Pedro Henrique Lima Alencar, José Carlos de Araújo, and Adunias dos Santos Teixeira
Hydrol. Earth Syst. Sci., 24, 4239–4255,Short summary
Soil erosion by water has been emphasized as a key problem to be faced in the 21st century. Thus, it is critical to understand land degradation and to answer fundamental questions regarding how and why such processes occur. Here, we present a model for gully erosion (channels carved by rainwater) based on existing equations, and we identify some major variables that influence the initiation and evolution of this process. The successful model can help in planning soil conservation practices.
Rubianca Benavidez, Bethanna Jackson, Deborah Maxwell, and Kevin Norton
Hydrol. Earth Syst. Sci., 22, 6059–6086,Short summary
Soil erosion is a global problem and models identify vulnerable areas for management. One such model is the Revised Universal Soil Loss Equation. We review its different sub-factors and compile studies and equations that modified it for local conditions. The limitations of RUSLE include its data requirements and exclusion of gullying and landslides. Future directions include accounting for these erosion types. This paper serves as a reference for others working with RUSLE and related approaches.
Felipe Hernández and Xu Liang
Hydrol. Earth Syst. Sci., 22, 5759–5779,Short summary
Predicting floods requires first knowing the amount of water in the valleys, which is complicated because we cannot know for sure how much water there is in the soil. We created a unique system that combines the best methods to estimate these conditions accurately based on the observed water flow in the rivers and on detailed simulations of the valleys. Comparisons with popular methods show that our system can produce realistic predictions efficiently, even for very detailed river networks.
Anna Botto, Enrica Belluco, and Matteo Camporese
Hydrol. Earth Syst. Sci., 22, 4251–4266,Short summary
We present a multivariate application of the ensemble Kalman filter (EnKF) in hydrological modeling of a real-world hillslope test case with dominant unsaturated dynamics and strong nonlinearities. Overall, the EnKF is able to correctly update system state and soil parameters. However, multivariate data assimilation may lead to significant tradeoffs between model predictions of different variables, if the observation data are not high quality or representative.
Peter Metcalfe, Keith Beven, Barry Hankin, and Rob Lamb
Hydrol. Earth Syst. Sci., 22, 2589–2605,Short summary
Flooding is a significant hazard and extreme events in recent years have focused attention on effective means of reducing its risk. An approach known as natural flood management (NFM) seeks to increase flood resilience by a range of measures that work with natural processes. The paper develops a modelling approach to assess one type NFM of intervention – distributed additional hillslope storage features – and demonstrates that more strategic placement is required than has hitherto been applied.
Abraham Endalamaw, W. Robert Bolton, Jessica M. Young-Robertson, Don Morton, Larry Hinzman, and Bart Nijssen
Hydrol. Earth Syst. Sci., 21, 4663–4680,Short summary
This study applies plot-scale and hill-slope knowledge to a process-based mesoscale model to improve the skill of distributed hydrological models to simulate the spatially and basin-integrated hydrological processes of complex ecosystems in the sub-arctic boreal forest. We developed a sub-grid parameterization method to parameterize the surface heterogeneity of interior Alaskan discontinuous permafrost watersheds.
Antonio Hayas, Tom Vanwalleghem, Ana Laguna, Adolfo Peña, and Juan V. Giráldez
Hydrol. Earth Syst. Sci., 21, 235–249,Short summary
Gully erosion is one of the most important erosion processes. In this study, we provide new data on gully dynamics over long timescales with an unprecedented temporal resolution. We apply a new Monte Carlo based method for calculating gully volumes based on orthophotos and, especially, for constraining uncertainties of these estimations. Our results show that gully erosion rates are highly variable from year to year and significantly higher than other erosion processes.
Giuseppe Formetta, Giovanna Capparelli, and Pasquale Versace
Hydrol. Earth Syst. Sci., 20, 4585–4603,Short summary
This paper focuses on performance evaluation of simplified, physically based landslide susceptibility models. It presents a new methodology to systemically and objectively calibrate, verify, and compare different models and models performances indicators in order to individuate and select the models whose behavior is more reliable for a certain case study. The procedure was implemented in a package for landslide susceptibility analysis and integrated the open-source hydrological model NewAge.
Carlotta Scudeler, Luke Pangle, Damiano Pasetto, Guo-Yue Niu, Till Volkmann, Claudio Paniconi, Mario Putti, and Peter Troch
Hydrol. Earth Syst. Sci., 20, 4061–4078,Short summary
Very few studies have applied a physically based hydrological model with integrated and distributed multivariate observation data of both flow and transport phenomena. In this study we address this challenge for a hillslope-scale unsaturated zone isotope tracer experiment. The results show how model complexity evolves as the number and detail of simulated responses increases. Possible gaps in process representation for simulating solute transport phenomena in very dry soils are discussed.
Bruno Cheviron and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 3799–3830,Short summary
This review paper investigates the determinants of modelling choices for numerous applications of 1-D free-surface flow and morphodynamics in hydrology and hydraulics. Each case study has a signature composed of given contexts (spatiotemporal scales, flow typology, and phenomenology) and chosen concepts (refinement and subscales of the flow model). This review proposes a normative procedure possibly enriched by the community for a larger, comprehensive and updated image of modelling strategies.
F. Todisco, L. Brocca, L. F. Termite, and W. Wagner
Hydrol. Earth Syst. Sci., 19, 3845–3856,Short summary
We developed a new formulation of USLE, named Soil Moisture for Erosion (SM4E), that directly incorporates soil moisture information. SM4E is applied here by using modeled data and satellite observations obtained from the Advanced SCATterometer (ASCAT). SM4E is found to outperform USLE and USLE-MM models in silty–clay soil in central Italy. Through satellite data, there is the potential of applying SM4E for large-scale monitoring and quantification of the soil erosion process.
W. Shao, T. A. Bogaard, M. Bakker, and R. Greco
Hydrol. Earth Syst. Sci., 19, 2197–2212,Short summary
The effect of preferential flow on the stability of landslides is studied through numerical simulation of two types of rainfall events on a hypothetical hillslope. A model is developed that consists of two parts. The first part is a model for combined saturated/unsaturated subsurface flow and is used to compute the spatial and temporal water pressure response to rainfall. Preferential flow is simulated with a dual-permeability continuum model consisting of a matrix/preferential flow domain.
O. Fovet, L. Ruiz, M. Hrachowitz, M. Faucheux, and C. Gascuel-Odoux
Hydrol. Earth Syst. Sci., 19, 105–123,Short summary
We studied the annual hysteretic patterns observed between stream flow and water storage in the saturated and unsaturated zones of a hillslope and a riparian zone. We described these signatures using a hysteresis index and then used this to assess conceptual hydrological models. This led us to identify four hydrological periods and a clearly distinct behaviour between riparian and hillslope groundwaters and to provide new information about the model performances.
D. J. Peres and A. Cancelliere
Hydrol. Earth Syst. Sci., 18, 4913–4931,Short summary
A Monte Carlo approach, combining rainfall-stochastic models and hydrological and slope stability physically based models, is used to derive rainfall thresholds of landslide triggering. The uncertainty in threshold assessment related to variability of rainfall intensity within events and to past rainfall (antecedent rainfall) is analyzed and measured via ROC-based indexes, with a specific focus dedicated to the widely used power-law rainfall intensity-duration (I-D) thresholds.
D. Windhorst, P. Kraft, E. Timbe, H.-G. Frede, and L. Breuer
Hydrol. Earth Syst. Sci., 18, 4113–4127,
G. Capparelli and P. Versace
Hydrol. Earth Syst. Sci., 18, 3225–3237,
D. Penna, M. Borga, G. T. Aronica, G. Brigandì, and P. Tarolli
Hydrol. Earth Syst. Sci., 18, 2127–2139,
G.-Y. Niu, D. Pasetto, C. Scudeler, C. Paniconi, M. Putti, P. A. Troch, S. B. DeLong, K. Dontsova, L. Pangle, D. D. Breshears, J. Chorover, T. E. Huxman, J. Pelletier, S. R. Saleska, and X. Zeng
Hydrol. Earth Syst. Sci., 18, 1873–1883,
J. Tao and A. P. Barros
Hydrol. Earth Syst. Sci., 18, 367–388,
J. Wienhöfer and E. Zehe
Hydrol. Earth Syst. Sci., 18, 121–138,
A. Richard, S. Galle, M. Descloitres, J.-M. Cohard, J.-P. Vandervaere, L. Séguis, and C. Peugeot
Hydrol. Earth Syst. Sci., 17, 5079–5096,
S. R. Lutz, H. J. van Meerveld, M. J. Waterloo, H. P. Broers, and B. M. van Breukelen
Hydrol. Earth Syst. Sci., 17, 4505–4524,
Hydrol. Earth Syst. Sci., 17, 4453–4470,
M. N. Papa, V. Medina, F. Ciervo, and A. Bateman
Hydrol. Earth Syst. Sci., 17, 4095–4107,
P. Fiener, K. Auerswald, F. Winter, and M. Disse
Hydrol. Earth Syst. Sci., 17, 4121–4132,
R. Greco, L. Comegna, E. Damiano, A. Guida, L. Olivares, and L. Picarelli
Hydrol. Earth Syst. Sci., 17, 4001–4013,
C. Lepore, E. Arnone, L. V. Noto, G. Sivandran, and R. L. Bras
Hydrol. Earth Syst. Sci., 17, 3371–3387,
J. E. van der Spek, T. A. Bogaard, and M. Bakker
Hydrol. Earth Syst. Sci., 17, 2171–2183,
A. M. Ireson and A. P. Butler
Hydrol. Earth Syst. Sci., 17, 2083–2096,
A. M. J. Coenders-Gerrits, L. Hopp, H. H. G. Savenije, and L. Pfister
Hydrol. Earth Syst. Sci., 17, 1749–1763,
G. Martelloni, S. Segoni, D. Lagomarsino, R. Fanti, and F. Catani
Hydrol. Earth Syst. Sci., 17, 1229–1240,
C. D. Guzman, S. A. Tilahun, A. D. Zegeye, and T. S. Steenhuis
Hydrol. Earth Syst. Sci., 17, 1067–1077,
D. M. Krzeminska, T. A. Bogaard, J.-P. Malet, and L. P. H. van Beek
Hydrol. Earth Syst. Sci., 17, 947–959,
A. Peñuela, M. Javaux, and C. L. Bielders
Hydrol. Earth Syst. Sci., 17, 87–101,
Hydrol. Earth Syst. Sci., 16, 3075–3082,
G. Y. Gao, B. J. Fu, Y. H. Lü, Y. Liu, S. Wang, and J. Zhou
Hydrol. Earth Syst. Sci., 16, 2347–2364,
C. E. Ballard, N. McIntyre, and H. S. Wheater
Hydrol. Earth Syst. Sci., 16, 2299–2310,
D. M. Krzeminska, T. A. Bogaard, Th. W. J. van Asch, and L. P. H. van Beek
Hydrol. Earth Syst. Sci., 16, 1561–1576,
T. Maurer, A. Schneider, and H. H. Gerke
Hydrol. Earth Syst. Sci., 15, 3617–3638,
J. Klaus and E. Zehe
Hydrol. Earth Syst. Sci., 15, 2127–2144,
M. C. Westhoff, T. A. Bogaard, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 15, 1945–1957,
J. Minet, E. Laloy, S. Lambot, and M. Vanclooster
Hydrol. Earth Syst. Sci., 15, 1323–1338,
T. Sabzevari, A. Talebi, R. Ardakanian, and A. Shamsai
Hydrol. Earth Syst. Sci., 14, 891–900,
Y. Zhang, S. K. Carey, W. L. Quinton, J. R. Janowicz, J. W. Pomeroy, and G. N. Flerchinger
Hydrol. Earth Syst. Sci., 14, 729–750,
Aquanty: HydroGeoSphere: A Three-Dimensional Numerical Model Describing Fully-Integrated Subsurface and Surface Flow and Solute Transport, University of Waterloo, Waterloo, ON, Canada, 2017.
Baker, C., Thompson, J. R., and Simpson, M.: 6. Hydrological Dynamics I: Surface Waters, Flood and Sediment Dynamics The Wetlands Handbook, 1st edn., edited by: Maltby, E. and Barker, T., Blackwell Publishing, Chichester, UK, 120–168, 2009.
Betts, H. D. and DeRose, R. C.: Digital elevation models as a tool for monitoring and measuring gully erosion, Int. J. Appl. Earth Obs., 1, 91–101, https://doi.org/10.1016/S0303-2434(99)85002-8, 1999.
Broggi, M. E.: Minimum requis de surfaces proches de l'état naturel dans le paysage rural, illustré par l'exemple du Plateau suisse, Rapport 31a du Programme national de recherche “Sol”, Liebefeld-Berne, Switzerland, 199 pp., 1990.
Brunner, P. and Simmons, C. T.: HydroGeoSphere: a fully integrated, physically based hydrological model, Groundwater, 50, 170–176, 2012.
Capra, A., Porto, P., and Scicolone, B.: Relationships between rainfall characteristics and ephemeral gully erosion in a cultivated catchment in Sicily (Italy), Soil Till. Res., 105, 77–87, https://doi.org/10.1016/j.still.2009.05.009, 2009.
Chambers, F.: Peatlands and environmental change, edited by: Charman, D., John Wiley and Sons Ltd, Chichester, UK, 2002, 301 pp., ISBN 0471969907 (HB) 0471844108 (PB), J. Quaternary Sci., 18, 466–466, https://doi.org/10.1002/jqs.741, 2003.
Chimner, R. A., Cooper, D. J., Wurster, F. C., and Rochefort, L.: An overview of peatland restoration in North America: where are we after 25 years?, Restor. Ecol., 25, 283–292, 2016.
Cochand, F., Therrien, R., and Lemieux, J.-M.: Integrated Hydrological Modeling of Climate Change Impacts in a Snow-Influenced Catchment, Groundwater, 57, 3–20, https://doi.org/10.1111/gwat.12848, 2019.
Cognard Plancq, A. L., Bogner, C., Marc, V., Lavabre, J., Martin, C., and Didon Lescot, J. F.: Etude du rôle hydrologique d'une tourbière de montagne: modélisation comparée de couples “averse-crue” sur deux bassins versants du Mont-Lozère, Etudes de géographie physique, no. XXXI, 3–15, 2004.
Daba, S., Rieger, W., and Strauss, P.: Assessment of gully erosion in eastern Ethiopia using photogrammetric techniques, Catena, 50, 273–291, https://doi.org/10.1016/S0341-8162(02)00135-2, 2003.
Derose, R. C., Gomez, B., Marden, M., and Trustrum, N. A.: Gully erosion in Mangatu Forest, New Zealand, estimated from digital elevation models, Earth Surf. Proc. Land., 23, 1045–1053, https://doi.org/10.1002/(SICI)1096-9837(1998110)23:11<1045::AID-ESP920>3.0.CO;2-T, 1998.
Descroix, L., González Barrios, J. L., Viramontes, D., Poulenard, J., Anaya, E., Esteves, M., and Estrada, J.: Gully and sheet erosion on subtropical mountain slopes: Their respective roles and the scale effect, Catena, 72, 325–339, https://doi.org/10.1016/j.catena.2007.07.003, 2008.
Dutton, A. L., Loague, K., and Wemple, B. C.: Simulated effect of a forest road on near-surface hydrologic response and slope stability, Earth Surf. Proc. Land., 30, 325–338, https://doi.org/10.1002/esp.1144, 2005.
Fetter, C. W.: Applied Hydrogeology, 4th edn., Prentice-Hall, New Jersey, USA, 2001.
Freeze, R. A. and Harlan, R. L.: Blueprint for a physically-based, digitally-simulated hydrologic response model, J. Hydrol., 9, 237–258, https://doi.org/10.1016/0022-1694(69)90020-1, 1969.
Li, Q., Unger, A. J. A., Sudicky, E. A., Kassenaar, D., Wexler, E. J., and Shikaze, S.: Simulating the multi-seasonal response of a large-scale watershed with a 3D physically-based hydrologic model, J. Hydrol., 357, 317–336, https://doi.org/10.1016/j.jhydrol.2008.05.024, 2008.
Limpens, J., Berendse, F., Blodau, C., Canadell, J. G., Freeman, C., Holden, J., Roulet, N., Rydin, H., and Schaepman-Strub, G.: Peatlands and the carbon cycle: from local processes to global implications – a synthesis, Biogeosciences, 5, 1475–1491, https://doi.org/10.5194/bg-5-1475-2008, 2008.
Lindsay, R.: Peatbogs and carbon: a critical synthesis to inform policy development in oceanic peat bog conservation and restoration in the context of climate change, University of East London, Technical Report, London, UK, 2010.
Loague, K. and VanderKwaak, J. E.: Simulating hydrological response for the R-5 catchment: comparison of two models and the impact of the roads, Hydrol. Process., 16, 1015–1032, https://doi.org/10.1002/hyp.316, 2002.
Martínez-Casasnovas, J. A.: A spatial information technology approach for the mapping and quantification of gully erosion, Catena, 50, 293–308, https://doi.org/10.1016/S0341-8162(02)00134-0, 2003.
Nyssen, J., Poesen, J., Moeyersons, J., Luyten, E., Veyret-Picot, M., Deckers, J., Haile, M., and Govers, G.: Impact of road building on gully erosion risk: a case study from the Northern Ethiopian Highlands, Earth Surf. Proc. Land., 27, 1267–1283, https://doi.org/10.1002/esp.404, 2002.
Partington, D., Therrien, R., Simmons, C. T., and Brunner, P.: Blueprint for a coupled model of sedimentology, hydrology, and hydrogeology in streambeds, Rev. Geophys., 55, 287–309, https://doi.org/10.1002/2016rg000530, 2017.
Poesen, J., Nachtergaele, J., Verstraeten, G., and Valentin, C.: Gully erosion and environmental change: importance and research needs, Catena, 50, 91–133, https://doi.org/10.1016/S0341-8162(02)00143-1, 2003.
Reckendorfer, W., Funk, A., Gschöpf, C., Hein, T., and Schiemer, F.: Aquatic ecosystem functions of an isolated floodplain and their implications for flood retention and management, J. Appl. Ecol., 50, 119–128, 2013.
Reid, L. M. and Dunne, T.: Sediment production from forest road surfaces, Water Resour. Res., 20, 1753–1761, https://doi.org/10.1029/WR020i011p01753, 1984.
Rydin, H. and Jeglum, J. K.: The biology of peatlands, 2nd edn., Oxford University Press, Oxford, UK, 382 pp., 2005.
Samaritani, E., Siegenthaler, A., Yli-Petäys, M., Buttler, A., Christin, P.-A., and Mitchell, E. A. D.: Seasonal Net Ecosystem Carbon Exchange of a Regenerating Cutaway Bog: How Long Does it Take to Restore the C-Sequestration Function?, Restor. Ecol., 19, 480–489, https://doi.org/10.1111/j.1526-100X.2010.00662.x, 2011.
Simmons, C. T., Brunner, P., Therrien, R., and Sudicky, E. A.: Commemorating the 50th anniversary of the Freeze and Harlan (1969) Blueprint for a physically-based, digitally-simulated hydrologic response model, J. Hydrol., 124309, https://doi.org/10.1016/J.JHYDROL.2019.124309, in press, 2019.
Valentin, C., Poesen, J., and Li, Y.: Gully erosion: Impacts, factors and control, Catena, 63, 132–153, https://doi.org/10.1016/j.catena.2005.06.001, 2005.
VanderKwaak, J. E.: Numerical simulation of flow and chemical transport in integrated surface-subsurface hydrologic systems, PhD thesis, Departement of Earth Science, University of Waterloo, Waterloo, Ontario, Canada, 1999.
Van Genuchten, M. T.: A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980.
Von Sengbusch, P.: Enhanced sensitivity of a mountain bog to climate change as a delayed effect of road construction, Mires and Peat, 15, 6, available at: http://www.mires-and-peat.net/pages/volumes/map15/map1506.php (last access: 23 February 2018), 2015.
Wemple, B. C. and Jones, J. A.: Runoff production on forest roads in a steep, mountain catchment, Water Resour. Res., 39, 1220, https://doi.org/10.1029/2002wr001744, 2003.
Zollner, A.: Das Abflussgeschehen von unterschiedlich genutzten Hochmooreinzugsgebieten, Bayer. Akad. f. Naturschutz u. Landschaftspflege, Laufener Seminarbeitr., Laufen/Salzach, Germany, 111–119, 2003.
Roads in sloping fens constitute a hydraulic barrier for surface and subsurface flow. This can lead to the drying out of downslope areas of the fen as well as gully erosion. By combining fieldwork and numerical models, this study presents an assessment of the hydrogeological impact of three road structures especially designed to limit their impact. The study shows that the impact of roads on the hydrological regime in fens can be significantly reduced by using appropriate engineering measures.
Roads in sloping fens constitute a hydraulic barrier for surface and subsurface flow. This can...