Relevant bibliographies by topics / Meandering rivers Computer simulation

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Academic literature on the topic 'Meandering rivers Computer simulation'

Author: Grafiati
Published: 10 December 2022
Last updated: 19 July 2025

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Journal articles on the topic "Meandering rivers Computer simulation"

1

Paris, Axel, Eric Guérin, Pauline Collon, and Eric Galin. "Authoring and Simulating Meandering Rivers." ACM Transactions on Graphics 42, no. 6 (2023): 1–14. http://dx.doi.org/10.1145/3618350.

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We present a method for interactively authoring and simulating meandering river networks. Starting from a terrain with an initial low-resolution network encoded as a directed graph, we simulate the evolution of the path of the different river channels using a physically-based migration equation augmented with control terms. The curvature-based terms in the equation allow us to reproduce phenomena identified in geomorphology, such as downstream migration of bends. Control terms account for the influence of the landscape topography and user-defined river trajectory constraints. Our model impleme
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2

Sun, Tao, Paul Meakin, and Torstein Jøssang. "A computer model for meandering rivers with multiple bed load sediment sizes: 2. Computer simulations." Water Resources Research 37, no. 8 (2001): 2243–58. http://dx.doi.org/10.1029/2000wr900397.

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3

Zhang, Min, and Rui Xun Lai. "The Water Transferred of Meandering River in Cellular Model." Advanced Materials Research 452-453 (January 2012): 842–45. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.842.

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We have known that many of the main features of river can be captured in a relatively simple cellular computer model. Here we examine some of the detailed characteristics of this model. We show a new tangential angle and special treatment method in curvature channel in a simple cellular model. The water distribute will be determined by the tangential angle which represent the flow direction. And the same tangential angle cellular in curvature reach will be transport in one group in filially. The results show it can make the flow routing conformed to the real river, and solve the question of cu
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4

Sun, Tao, Paul Meakin, Torstein Jøssang, and Klaus Schwarz. "A Simulation Model for Meandering Rivers." Water Resources Research 32, no. 9 (1996): 2937–54. http://dx.doi.org/10.1029/96wr00998.

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5

Ma, K., and W. L. Wei. "Simulation of Flow in a Rectangular Meandering Channel." Applied Mechanics and Materials 130-134 (October 2011): 2688–91. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2688.

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This paper is concerned with the numerical solution of two-dimensional flows in a rectangular meandering channel. The technique of boundary-fitted coordinate system is used to overcome the difficulties resulting from the complicated shape of natural river boundaries; the method of physical fractional steps is used to solve the partial differential equations in the transformed plane. Comparison between computed and experimental data shows a satisfactory agreement.
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6

Viseur, Sophie. "Turbidite reservoir characterization : object-based stochastic simulation meandering channels." Bulletin de la Société Géologique de France 175, no. 1 (2004): 11–20. http://dx.doi.org/10.2113/175.1.11.

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Abstract Stochastic imaging has become an important tool for risk assessment and has successfully been applied to oil field management. This procedure aims at generating several possible and equiprobable 3D models of subsurface structures that enhance the available data set. Among these stochastic simulation techniques, object-based approaches consist of defining and distributing objects reproducing underground geobodies. A technical challenge still remains in object-based simulation. Due to advances in deep water drilling technology, new hydrocarbon exploration has been opened along the Atlan
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7

Yan, Xue, Jinliang Zhang, Yang Li, Yan Zhang, and Long Sun. "Reconstruction of Planforms and Architecture of the Meandering Paleo-Channels—A Case Study of the 1st Member of Shanxi Formation, Central of Sulige Gas Field, Ordos Basin." Water 14, no. 3 (2022): 477. http://dx.doi.org/10.3390/w14030477.

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Although a large number of meandering rivers have been studied by means of modern sedimentation, instrument detection, numerical simulation, flume experiment and field outcrop, and a lot of achievements have been made, there are not many fine anatomical examples of deep buried ancient rivers, which is a situation that still needs to be improved. The main difficulties in the research of deep, ancient meandering rivers are the acquisition of data and the incompleteness of structure, which are both difficulties and challenges. Under the guidance of the modern meandering river fan sedimentary mode
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8

Meakin, Paul, Tao Sun, Torstein Jøssang, and Klaus Schwarz. "A simulation model for meandering rivers and their associated sedimentary environments." Physica A: Statistical Mechanics and its Applications 233, no. 3-4 (1996): 606–18. http://dx.doi.org/10.1016/s0378-4371(96)00197-5.

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9

Darby, Stephen E., Andrei M. Alabyan, and Marco J. Van de Wiel. "Numerical simulation of bank erosion and channel migration in meandering rivers." Water Resources Research 38, no. 9 (2002): 2–1. http://dx.doi.org/10.1029/2001wr000602.

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10

Okamoto, Takashi. "Developmental regulation and morphological saltation in the heteromorph ammonite Nipponites." Paleobiology 14, no. 3 (1988): 272–86. http://dx.doi.org/10.1017/s0094837300012008.

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Nipponites, a Late Cretaceous nostoceratid ammonite, shows a peculiar meandering shell growth in the middle-late stage. Assuming neutral buoyancy, and a constant aperture angle relative to the sea bottom, meandering growth of this ammonite was modeled by computer simulation. In this model, the meandering shell growth is controlled by regulation of life orientation. The remarkable similarity in the coiling modes and rib obliquity patterns between the computer-simulated and actual specimens strongly suggests a free living mode of life in Nipponites with an approximately neutral buoyancy. The sim
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Dissertations / Theses on the topic "Meandering rivers Computer simulation"

1

Hughes, Gregory Owen. "An analysis of baseflow recession in the Republic of South Africa." Thesis, 1997. http://hdl.handle.net/10413/5416.

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Demands on the water resources of South Africa are ever increasing owing to population growth and increased development of urban, peri-urban and rural communities. Problems in terms of water quantity and quality are likely to be experienced during baseflow recessions. It is therefore imperative that water resources managers not only understand these baseflow periods of streamflow, but are able to model them with confidence. Research for this study thus included a comprehensive literature survey of the factors which affect baseflow as well as the approaches that previous studies have utilised t
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Books on the topic "Meandering rivers Computer simulation"

1

Manivanan, R. Water quality modeling: Rivers, streams, and estuaries. New India Pub. Agency, 2008.

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2

G, Nielsen Martha, and Geological Survey (U.S.), eds. Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal rivers, Maine, using watershed models. U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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3

Benedini, Marcello. Water Quality Modelling for Rivers and Streams. Springer Netherlands, 2013.

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4

Benedini, Marcello, and George Tsakiris. Water Quality Modelling for Rivers and Streams. Springer, 2013.

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Conference papers on the topic "Meandering rivers Computer simulation"

1

Alqassab, H. M., M. Feng, J. A. Becker, S. Song, and T. Mukerji. "MAGCS: Machine Assisted Geologic Carbon Storage." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222120-ms.

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Abstract This study presents a groundbreaking geologic modeling technique powered by artificial intelligence (AI), which is executed in a phased approach. We employ generative AI-based models to construct detailed 3D geologic models that are conditioned to well data and 3D seismic information and validated with real field cases. The paper showcases the practical application of this method by creating a model of a fluvial-dominated deltaic saline aquifer, a potential site for CO2 sequestration. Existing geological modeling methods face limitations in generating heterogeneity structures, encompa
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