Modeling postglacial vegetation dynamics of temperate forests on the Olympic Peninsula (WA,USA) with special regard to snowpack     

Christoph Schwörer  David M. Fisher  Daniel G. Gavin  Christian Temperli  Patrick J. Bartlein 《Climatic change》2016,137(3-4):379-394

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Elliptic polarisation of the polar motion excitation     

Christian Bizouard 《Journal of Geodesy》2016,90(2):179-188

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Predicting bed form roughness: the influence of lee side angle     

Alice Lefebvre  Christian Winter 《Geo-Marine Letters》2016,36(2):121-133

Flow transverse bedforms (ripples and dunes) are ubiquitous in rivers and coastal seas. Local hydrodynamics and transport conditions depend on the size and geometry of these bedforms, as they constitute roughness elements at the bed. Bedform influence on flow energy must be considered for the understanding of flow dynamics, and in the development and application of numerical models. Common estimations or predictors of form roughness (friction factors) are based mostly on data of steep bedforms (with angle-of-repose lee slopes), and described by highly simplified bedform dimensions (heights and lengths). However, natural bedforms often are not steep, and differ in form and hydraulic effect relative to idealised bedforms. Based on systematic numerical model experiments, this study shows how the hydraulic effect of bedforms depends on the flow structure behind bedforms, which is determined by the bedform lee side angle, aspect ratio and relative height. Simulations reveal that flow separation behind bedform crests and, thus, a hydraulic effect is induced at lee side angles steeper than 11 to 18° depending on relative height, and that a fully developed flow separation zone exists only over bedforms with a lee side angle steeper than 24°. Furthermore, the hydraulic effect of bedforms with varying lee side angle is evaluated and a reduction function to common friction factors is proposed. A function is also developed for the Nikuradse roughness (k _s), and a new equation is proposed which directly relates k _s to bedform relative height, aspect ratio and lee side angle.  相似文献   

Erratum to: Hydrological modelling of changes in the water balance due to the impact of woody biomass production in the North German Plain     

Jens Hartwich  Markus Schmidt  Jens Bölscher  Christian Reinhardt-Imjela  Dieter Murach  Achim Schulte 《Environmental Earth Sciences》2016,75(15):1130

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Long-term trends in flood discharges of the Ulster and Upper Fulda (Germany): a statistical review     

Andreas Trabert  Christian Opp 《Environmental Earth Sciences》2016,75(20):1363

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Case study: characterization of source-separated blackwater and greywater in the ecological housing estate Lübeck “Flintenbreite” (Germany)     

Jan Christian Sievers  Tobias Wätzel  Jörg Londong  Eckhard Kraft 《Environmental Earth Sciences》2016,75(22):1428

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Microbial and viral pathogens in freshwater: current research aspects studied in Germany     

Michael Seidel  Lars Jurzik  Ingrid Brettar  Manfred G. Höfle  Christian Griebler 《Environmental Earth Sciences》2016,75(20):1384

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The influence of model structure on groundwater recharge rates in climate-change impact studies     

Christian Moeck  Philip Brunner  Daniel Hunkeler 《Hydrogeology Journal》2016,24(5):1171-1184

Numerous modeling approaches are available to provide insight into the relationship between climate change and groundwater recharge. However, several aspects of how hydrological model choice and structure affect recharge predictions have not been fully explored, unlike the well-established variability of climate model chains—combination of global climate models (GCM) and regional climate models (RCM). Furthermore, the influence on predictions related to subsoil parameterization and the variability of observation data employed during calibration remain unclear. This paper compares and quantifies these different sources of uncertainty in a systematic way. The described numerical experiment is based on a heterogeneous two-dimensional reference model. Four simpler models were calibrated against the output of the reference model, and recharge predictions of both reference and simpler models were compared to evaluate the effect of model structure on climate-change impact studies. The results highlight that model simplification leads to different recharge rates under climate change, especially under extreme conditions, although the different models performed similarly under historical climate conditions. Extreme weather conditions lead to model bias in the predictions and therefore must be considered. Consequently, the chosen calibration strategy is important and, if possible, the calibration data set should include climatic extremes in order to minimise model bias introduced by the calibration. The results strongly suggest that ensembles of climate projections should be coupled with ensembles of hydrogeological models to produce credible predictions of future recharge and with the associated uncertainties.  相似文献   

Modelling non-stationary water ages in a tropical rainforest: A preliminary spatially distributed assessment     

Alicia Correa  Christian Birkel  Jason Gutierrez  Joni Dehaspe  Ana María Durán-Quesada  Chris Soulsby  Ricardo Sánchez-Murillo 《水文研究》2020,34(25):4776-4793

Pristine tropical forests play a critical role in regional and global climate systems. For a better understanding of the eco-hydrology of tropical “evergreen” vegetation, it is essential to know the partitioning of water into transpiration and evaporation, runoff and associated water ages. For this purpose, we evaluated how topography and vegetation influence water flux and age dynamics at high temporal (hourly) and spatial (10 m) resolution using the Spatially Distributed Tracer-Aided Rainfall-Runoff model for the tropics (STARRtropics). The model was applied in a tropical rainforest catchment (3.2 km²) where data were collected biweekly to monthly and during intensive monitoring campaigns from January 2013 to July 2018. The STARRtropics model was further developed, incorporating an isotope mass balance for evapotranspiration partitioning into transpiration and evaporation. Results exhibited a rapid streamflow response to rainfall inputs (water and isotopes) with limited mixing and a largely time-invariant baseflow isotope composition. Simulated soil water storage showed a transient response to rainfall inputs with a seasonal component directly resembling the streamflow dynamics which was independently evaluated using soil water content measurements. High transpiration fluxes (max 7 mm/day) were linked to lower slope gradients, deeper soils and greater leaf area index. Overall water partitioning resulted in 65% of the actual evapotranspiration being driven by vegetation with high transpiration rates over the drier months compared to the wet season. Time scales of water age were highly variable, ranging from hours to a few years. Stream water ages were conceptualized as a mixture of younger soil water and slightly older, deeper soil water and shallow groundwater with a maximum age of roughly 2 years during drought conditions (722 days). The simulated soil water ages ranged from hours to 162 days and for shallow groundwater up to 1,200 days. Despite the model assumptions, experimental challenges and data limitation, this preliminary spatially distributed model study enhances knowledge about the water ages and overall young water dominance in a tropical rainforest with little influence of deeper and older groundwater.  相似文献   

End member and Bayesian mixing models consistently indicate near-surface flowpath dominance in a pristine humid tropical rainforest     

Christian Birkel  Alicia Correa Barahona  Clément Duvert  Sebastián Granados Bolaños  Andres Chavarría Palma  Ana Maria Durán Quesada  Ricardo Sánchez Murillo  Harald Biester 《水文研究》2021,35(4):e14153

The impacts of forest conversion on runoff generation in the tropics have received much interest, but scientific progress is still hampered by challenging fieldwork conditions and limited knowledge about runoff mechanisms. Here, we assessed the runoff generation, flow paths and water source dynamics of a pristine rainforest catchment in Costa Rica using end member mixing analysis (EMMA) and a Bayesian mixing model (MixSIAR). Geochemical tracer data collected over a 4-week field campaign were combined with tritium data used to assess potential deeper groundwater flow pathways to the perennial stream. The streamflow composition was best captured using three end-members, namely throughfall, shallow (5–15 cm) and deeper (15–50 cm) soil water. We estimated the end-member contributions to the main stream and two tributaries using the two mixing approaches and found good agreement between results obtained from EMMA and MixSIAR. The system was overwhelmingly dominated by near-surface sources, with little evidence for deeper and older groundwater as tritium-derived baseflow mean transit time was between 2.0 and 4.4 years. The shallow soil flow pathway dominated streamflow contributions in the main stream (median 39% and 49% based on EMMA and MixSIAR, respectively), followed by the deeper soil (32% and 31%) and throughfall (25% and 19%). The two tributaries had even greater shallow soil water contributions relative to the main stream (83% and 74% for tributary A and 42% and 63% for tributary B). Tributary B had no detectable deep soil water contribution, reflecting the morphology of the hillslope (steeper slopes, shallower soils and lower vegetation density compared to hillslope A). Despite the short sampling campaign and associated uncertainties, this study allowed to thoroughly assess runoff generation mechanisms in a humid tropical catchment. Our results also provide a first comparison of two increasingly used mixing models and suggest that EMMA and MixSIAR yield comparable estimates of water source partitioning in this tropical, volcanic rainforest environment.  相似文献