Deltares activities in the Meuse river basin

2013 ◽  
pp. 79-80
Author(s):  
F Weiland ◽  
M van Dijk ◽  
O de Keizer ◽  
A Weerts
Keyword(s):  
River Basin ◽  
Meuse River

scholarly journals Comparison of maxillary first molar occlusal outlines of Neandertals from the Meuse River Basin of Belgium using elliptical Fourier analysis

2017 ◽  
Vol 80 (3) ◽  
pp. 273-286
Author(s):  
Frank L’Engle Williams ◽  
Katherine M. Lane ◽  
William G. Anderson
Keyword(s):  
Convex Hull ◽  
Fourier Analysis ◽  
River Basin ◽  
Principal Components ◽  
The Other ◽  
Outline Shape ◽  
Maxillary Molars ◽  
Elliptical Fourier Analysis ◽  
Mis 5 ◽  
Meuse River

AbstractSeveral Neandertals derive from the karstic caves of the Meuse river tributaries of Belgium, including Engis 2, Scladina 4A-4 and Spy 1. These may form a group that is distinct in maxillary first molar occlusal outlines compared to La Quina 5 from Southwest France. Alternatively, chronological differences may separate individuals given that Scladina 4A-4 from MIS 5 is older than the others from MIS 3. Neolithic samples (n = 42) from Belgium (Maurenne Caverne de la Cave, Hastière Caverne M, Hastière Trou Garçon, Sclaigneaux and Bois Madame) dated to 4.6–3.9 kyr provide a context for the Neandertals. Dental casts were prepared from dental impressions of the original maxillary molars. Crown and occlusal areas as well as mesiodistal lengths were measured by calibrated Motic 3.0 microscope cameras. Occlusal outlines of the casts were captured through photostereomicroscopy and non-landmark smooth tracing methods. Occlusal outlines were processed using elliptical Fourier analysis within SHAPE v1.3 which reduced amplitudes of the harmonics into principal components (PC) axes. The first two PC axes group the Neandertals, although Scladina 4A-4 falls nearly outside the convex hull for the Neolithic sample. Neandertals are imperfectly separated from the Neolithic sample on PC3 and PC4, and completely distinct on PC5 and PC6. Scladina 4A-4 differs from the other Neandertals on most PC axes. Chronology may best explain the separation of Scladina 4A-4 from the more recent fossils, and particularly Spy 1 and La Quina 5 which are the most similar in maxillary first molar occlusal outline shape.

scholarly journals Combining semi-distributed process-based and data-driven models in flow simulation: a case study of the Meuse river basin

2009 ◽  
Vol 6 (1) ◽  
pp. 729-766 ◽  
Author(s):  
G. Corzo ◽  
D. Solomatine ◽  
M. de Wit ◽  
M. Werner ◽  
S. Uhlenbrook ◽  
...  
Keyword(s):  
River Basin ◽  
River Flow ◽  
Flow Simulation ◽  
Simulation Modelling ◽  
Data Driven ◽  
Simulation Accuracy ◽  
Use Of Data ◽  
Distributed Process ◽  
Process Based Models ◽  
Meuse River

Abstract. One of the challenges in river flow simulation modelling is increasing the accuracy of forecasts. This paper explores the complementary use of data-driven models, e.g. artificial neural networks (ANN) to improve the flow simulation accuracy of a semi-distributed process based model. The IHMS-HBV model of the Meuse river basin is used in this research. Two schemes are tested. The first one explores the replacement of sub-basin models by data-driven models. The second scheme is based on the replacement of the Muskingum-Cunge routing model, which integrates the multiple sub-basin models, by an ANN. The results showed that: (1) after a step-wise spatial replacement of sub-basin conceptual models by ANNs it is possible to increase the accuracy of the overall basin model; (2) there are time periods when low and high flow conditions are better represented by ANNs; and (3) the improvement in terms of RMSE obtained by using of ANNs is greater than that when using sub-basin replacements. It can be concluded that the presented two schemes based on the analysis of seasonal and spatial weakness of the process based models can improve performance of the process based models in the context of operational flow forecasting.

scholarly journals Expression of Nonmetric Dental Traits in Western European Neanderthals

2018 ◽  
Vol 30 (1) ◽  
pp. 3-15
Author(s):  
Frank L'Engle Williams ◽  
Rebecca L. George ◽  
Marie-Antoinette De Lumley ◽  
Gael Becam
Keyword(s):  
River Basin ◽  
Western Europe ◽  
Dental Morphology ◽  
Deciduous Dentition ◽  
The Mediterranean ◽  
Western European ◽  
Roc De Marsal ◽  
Dental Traits ◽  
Meuse River

Neanderthals of Western Europe lived across distinct ecogeographic zones from Marine Iso-tope Stage 7 to 3. Differences in dental morphology from seven Western European sites are compared in terms of ecogeography and chronology.Neanderthals (n = 12) along a north-south gradient were examined. These included the Meuse River Basin of Belgium (Engis 2 and Scladina 1-4A ), Southwest France (Pech de l'Azé 1 and Roc de Marsal), the Pyrenees (Malarnaud and Montmaurin), and the Mediterranean (Hortus). Montmaurin is the oldest, followed by Scladina 1-4A and Malarnaud, whereas the others are younger.Dental casts were prepared from Neanderthal permanent and deciduous dentition. These were de-scribed and scored, according to the ASUDAS. Comparisons of dental traits with respect to ecogeo-graphic regions and chronological categories were constructed.Unusual dental features observed include the anterior fovea, entoconulid, metaconulid, and Cara-belli’s cusp. Dental traits that distinguish ecogeographic regions are the expression of the M1 hypocone and metaconule, whereas the hypoconulid and Carabelli’s cusp separate chronological categories. Dif-ferences are present for the entoconulid and metaconulid in both comparisons.Neither chronology nor ecogeography fully explains the results. Similarities in dental traits exist between Roc de Marsal, Pech de l’Azé 1 and Engis 2, and secondarily within the Hortus assemblage.

scholarly journals Combining semi-distributed process-based and data-driven models in flow simulation: a case study of the Meuse river basin

2009 ◽  
Vol 13 (9) ◽  
pp. 1619-1634 ◽  
Author(s):  
G. A. Corzo ◽  
D. P. Solomatine ◽  
M. de Wit ◽  
M. Werner ◽  
S. Uhlenbrook ◽  
...  
Keyword(s):  
River Basin ◽  
River Flow ◽  
Flow Simulation ◽  
Simulation Modelling ◽  
Data Driven ◽  
Simulation Accuracy ◽  
Use Of Data ◽  
Distributed Process ◽  
Hbv Model ◽  
Meuse River

Abstract. One of the challenges in river flow simulation modelling is increasing the accuracy of forecasts. This paper explores the complementary use of data-driven models, e.g. artificial neural networks (ANN) to improve the flow simulation accuracy of a semi-distributed process-based model. The IHMS-HBV model of the Meuse river basin is used in this research. Two schemes are tested. The first one explores the replacement of sub-basin models by data-driven models. The second scheme is based on the replacement of the Muskingum-Cunge routing model, which integrates the multiple sub-basin models, by an ANN. The results show that: (1) after a step-wise spatial replacement of sub-basin conceptual models by ANNs it is possible to increase the accuracy of the overall basin model; (2) there are time periods when low and high flow conditions are better represented by ANNs; and (3) the improvement in terms of RMSE obtained by using ANN for routing is greater than that when using sub-basin replacements. It can be concluded that the presented two schemes can improve the performance of process-based models in the context of flow forecasting.

scholarly journals Throwing Activities Among Neolithic Populations from the Meuse River Basin (Belgium, 4500–2500 BC) with a Focus on Adolescents

2019 ◽  
Vol 12 (2) ◽  
pp. 81-95 ◽  
Author(s):  
Caroline Polet ◽  
Merlin Leunda Martiarena ◽  
Sébastien Villotte ◽  
Martine Vercauteren
Keyword(s):  
River Basin ◽  
Meuse River

scholarly journals Effects of human land use on the terrestrial and aquatic sources of fluvial organic matter in a temperate river basin (The Meuse River, Belgium)

2017 ◽  
Vol 136 (2) ◽  
pp. 191-211 ◽  
Author(s):  
Thibault Lambert ◽  
Steven Bouillon ◽  
François Darchambeau ◽  
Cédric Morana ◽  
Fleur A. E. Roland ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
River Basin ◽  
Human Land Use ◽  
Temperate River ◽  
Meuse River

scholarly journals Dental morphology of deciduous molars from late Neolithic Caves of the Meuse River Basin of Belgium

2018 ◽  
Vol 31 (2) ◽  
pp. 18-26
Author(s):  
Frank L'Engle Williams ◽  
Rebecca L George ◽  
Caroline Polet
Keyword(s):  
River Basin ◽  
Dental Morphology ◽  
Late Neolithic ◽  
Potential Relationship ◽  
Dental Traits ◽  
Deciduous Molars ◽  
Range Of Variation ◽  
Dental Casts ◽  
Meuse River

Nearly 200 karstic caves of the Meuse River Basin of Belgium preserve collective burials dated to the Late Neolithic. The gnathic remains from five well preserved sites provide an opportunity to explore potential relationship among these cave burials. The cave burials of Hastière Caverne M, Hastière Trou Garçon C, Maurenne Caverne de la Cave, Sclaigneaux and Bois Madame are dated to circa 4,635 to 3,830 years BP. Dental casts from mandibular and maxillary deciduous molars are scored using the ASUDAS. Carabelli’s trait varies from a small, Y-shaped depression to a full cusp, and the largest ones are found at Hastière Caverne M. The mandibular first molars have three to five cusps and the second molars have five, with one instance of six cusps at Bois Madame, which exceeds the range of variation for other dental traits.  The hypoconulid ranges from small to very large. A metaconulid is absent or small.           Although the results are contingent on idiosyncratic preservation, differences in the frequencies of traits exist between the earlier cave burial from Hastière Caverne M and the late/final Neolithic burials of Sclaigneaux and Bois Madame, the latter of which is the most variable in the expression of dental traits.   

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