Stream Restoration, a Natural Channel Design
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A 3D Forward Stratigraphic Model of Fluvial Meander-Bend Evolution for Prediction of Point-Bar Lithofacies Architecture
This is a repository copy of A 3D forward stratigraphic model of fluvial meander-bend evolution for prediction of point-bar lithofacies architecture. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/116031/ Version: Accepted Version Article: Yan, N orcid.org/0000-0003-1790-5861, Mountney, NP orcid.org/0000-0002-8356-9889, Colombera, L et al. (1 more author) (2017) A 3D forward stratigraphic model of fluvial meander-bend evolution for prediction of point-bar lithofacies architecture. Computers & Geosciences, 105. pp. 65-80. ISSN 0098-3004 https://doi.org/10.1016/j.cageo.2017.04.012 © 2017 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Author’s Accepted Manuscript A 3D forward stratigraphic model of fluvial meander-bend evolution for prediction of point-bar lithofacies architecture Na Yan, Nigel P. -
Measurement of Bedload Transport in Sand-Bed Rivers: a Look at Two Indirect Sampling Methods
Published online in 2010 as part of U.S. Geological Survey Scientific Investigations Report 2010-5091. Measurement of Bedload Transport in Sand-Bed Rivers: A Look at Two Indirect Sampling Methods Robert R. Holmes, Jr. U.S. Geological Survey, Rolla, Missouri, United States. Abstract Sand-bed rivers present unique challenges to accurate measurement of the bedload transport rate using the traditional direct sampling methods of direct traps (for example the Helley-Smith bedload sampler). The two major issues are: 1) over sampling of sand transport caused by “mining” of sand due to the flow disturbance induced by the presence of the sampler and 2) clogging of the mesh bag with sand particles reducing the hydraulic efficiency of the sampler. Indirect measurement methods hold promise in that unlike direct methods, no transport-altering flow disturbance near the bed occurs. The bedform velocimetry method utilizes a measure of the bedform geometry and the speed of bedform translation to estimate the bedload transport through mass balance. The bedform velocimetry method is readily applied for the estimation of bedload transport in large sand-bed rivers so long as prominent bedforms are present and the streamflow discharge is steady for long enough to provide sufficient bedform translation between the successive bathymetric data sets. Bedform velocimetry in small sand- bed rivers is often problematic due to rapid variation within the hydrograph. The bottom-track bias feature of the acoustic Doppler current profiler (ADCP) has been utilized to accurately estimate the virtual velocities of sand-bed rivers. Coupling measurement of the virtual velocity with an accurate determination of the active depth of the streambed sediment movement is another method to measure bedload transport, which will be termed the “virtual velocity” method. -
Lesson 4: Sediment Deposition and River Structures
LESSON 4: SEDIMENT DEPOSITION AND RIVER STRUCTURES ESSENTIAL QUESTION: What combination of factors both natural and manmade is necessary for healthy river restoration and how does this enhance the sustainability of natural and human communities? GUIDING QUESTION: As rivers age and slow they deposit sediment and form sediment structures, how are sediments and sediment structures important to the river ecosystem? OVERVIEW: The focus of this lesson is the deposition and erosional effects of slow-moving water in low gradient areas. These “mature rivers” with decreasing gradient result in the settling and deposition of sediments and the formation sediment structures. The river’s fast-flowing zone, the thalweg, causes erosion of the river banks forming cliffs called cut-banks. On slower inside turns, sediment is deposited as point-bars. Where the gradient is particularly level, the river will branch into many separate channels that weave in and out, leaving gravel bar islands. Where two meanders meet, the river will straighten, leaving oxbow lakes in the former meander bends. TIME: One class period MATERIALS: . Lesson 4- Sediment Deposition and River Structures.pptx . Lesson 4a- Sediment Deposition and River Structures.pdf . StreamTable.pptx . StreamTable.pdf . Mass Wasting and Flash Floods.pptx . Mass Wasting and Flash Floods.pdf . Stream Table . Sand . Reflection Journal Pages (printable handout) . Vocabulary Notes (printable handout) PROCEDURE: 1. Review Essential Question and introduce Guiding Question. 2. Hand out first Reflection Journal page and have students take a minute to consider and respond to the questions then discuss responses and questions generated. 3. Handout and go over the Vocabulary Notes. Students will define the vocabulary words as they watch the PowerPoint Lesson. -
Geomorphic Classification of Rivers
9.36 Geomorphic Classification of Rivers JM Buffington, U.S. Forest Service, Boise, ID, USA DR Montgomery, University of Washington, Seattle, WA, USA Published by Elsevier Inc. 9.36.1 Introduction 730 9.36.2 Purpose of Classification 730 9.36.3 Types of Channel Classification 731 9.36.3.1 Stream Order 731 9.36.3.2 Process Domains 732 9.36.3.3 Channel Pattern 732 9.36.3.4 Channel–Floodplain Interactions 735 9.36.3.5 Bed Material and Mobility 737 9.36.3.6 Channel Units 739 9.36.3.7 Hierarchical Classifications 739 9.36.3.8 Statistical Classifications 745 9.36.4 Use and Compatibility of Channel Classifications 745 9.36.5 The Rise and Fall of Classifications: Why Are Some Channel Classifications More Used Than Others? 747 9.36.6 Future Needs and Directions 753 9.36.6.1 Standardization and Sample Size 753 9.36.6.2 Remote Sensing 754 9.36.7 Conclusion 755 Acknowledgements 756 References 756 Appendix 762 9.36.1 Introduction 9.36.2 Purpose of Classification Over the last several decades, environmental legislation and a A basic tenet in geomorphology is that ‘form implies process.’As growing awareness of historical human disturbance to rivers such, numerous geomorphic classifications have been de- worldwide (Schumm, 1977; Collins et al., 2003; Surian and veloped for landscapes (Davis, 1899), hillslopes (Varnes, 1958), Rinaldi, 2003; Nilsson et al., 2005; Chin, 2006; Walter and and rivers (Section 9.36.3). The form–process paradigm is a Merritts, 2008) have fostered unprecedented collaboration potentially powerful tool for conducting quantitative geo- among scientists, land managers, and stakeholders to better morphic investigations. -
Seasonal Flooding Affects Habitat and Landscape Dynamics of a Gravel
Seasonal flooding affects habitat and landscape dynamics of a gravel-bed river floodplain Katelyn P. Driscoll1,2,5 and F. Richard Hauer1,3,4,6 1Systems Ecology Graduate Program, University of Montana, Missoula, Montana 59812 USA 2Rocky Mountain Research Station, Albuquerque, New Mexico 87102 USA 3Flathead Lake Biological Station, University of Montana, Polson, Montana 59806 USA 4Montana Institute on Ecosystems, University of Montana, Missoula, Montana 59812 USA Abstract: Floodplains are comprised of aquatic and terrestrial habitats that are reshaped frequently by hydrologic processes that operate at multiple spatial and temporal scales. It is well established that hydrologic and geomorphic dynamics are the primary drivers of habitat change in river floodplains over extended time periods. However, the effect of fluctuating discharge on floodplain habitat structure during seasonal flooding is less well understood. We collected ultra-high resolution digital multispectral imagery of a gravel-bed river floodplain in western Montana on 6 dates during a typical seasonal flood pulse and used it to quantify changes in habitat abundance and diversity as- sociated with annual flooding. We observed significant changes in areal abundance of many habitat types, such as riffles, runs, shallow shorelines, and overbank flow. However, the relative abundance of some habitats, such as back- waters, springbrooks, pools, and ponds, changed very little. We also examined habitat transition patterns through- out the flood pulse. Few habitat transitions occurred in the main channel, which was dominated by riffle and run habitat. In contrast, in the near-channel, scoured habitats of the floodplain were dominated by cobble bars at low flows but transitioned to isolated flood channels at moderate discharge. -
Culvert Design Transportation & the Environment Conference December 3, 2014 Chris Freiburger – Fisheries Division - DNR Perched Piping
Culvert Design Transportation & the Environment Conference December 3, 2014 Chris Freiburger – Fisheries Division - DNR Perched Piping Blockage Sediment What are we after? •Natural and dynamic stream channel •Passage of all aquatic organisms •Low maintenance, flood-resilient road Sizing & Placement of Stream Culverts The Stream Will Tell You! •Match Culvert Width to Bankfull Stream Width •Extend Culvert Length through side slope toe •Set Culvert Slope same as Stream Slope •Bury Culvert 1/6th Bankfull Stream Width •Offset Multiple Culverts (floodplain ~ splits lower buried one) (higher one ~ 1 ft. higher) •Align Culvert with Stream (or dig with stream sinuosity) •Consider Headcuts and Cut-Offs Dr. Sandy Verry Chief Research Hydrologist Forest Service Mesboac Culvert Design – 0’ • Match 3’ Bankfull width 6’ • Extend Culvert to side slope toe • Set on Channel Slope Set Slope Failure to set culverts on the same slope th as the stream (and bury them 1/6 widthBKF) is the single reason that many culverts do not allow for fish passage! Slope can be measured as: Slope along the bank (wider variation, than thalweg) Slope of the water surface (big errors at low flow or in flooded channels, good at moderate to bankfull flows) Slope of the thalweg (this, by far, is the best one) Measure a longitudinal profile to allow the precise placement of culverts. Precision Setting is the key to a fully functional riffle culvert installation At each point riffle 1. Bankfull riffle 2. Water surface Setting the elevation 3. Thalweg of the culvert invert True North Backsight upstream & riffle Benchmark downstream assures success! riffle riffle Measure Bankfull elevation, water surface elevation, and major thalweg topographic breaks (riffle top, riffle bottom, pool bottom), at each station, on the longitudinal profile 1997 LITTLE POKEGAMA CREEK PLOT 7 LONGITUDINAL 1003 1002 1001 1000 FT - 999 998 Bankfull elevation 997 ELEVATION 996 Slope = 0.0191 Water Surface elevation 995 Thalweg elevation 994 993 0 50 100 150 200 250 300 350 400 THALWEG DISTANCE-FT 1. -
The Arkansas River Flood of June 3-5, 1921
DEPARTMENT OF THE INTERIOR ALBERT B. FALL, Secretary UNITED STATES GEOLOGICAL SURVEY GEORGE 0ns SMITH, Director Water-Supply Paper 4$7 THE ARKANSAS RIVER FLOOD OF JUNE 3-5, 1921 BY ROBERT FOLLANS^EE AND EDWARD E. JON^S WASHINGTON GOVERNMENT PRINTING OFFICE 1922 i> CONTENTS. .Page. Introduction________________ ___ 5 Acknowledgments ___ __________ 6 Summary of flood losses-__________ _ 6 Progress of flood crest through Arkansas Valley _____________ 8 Topography of Arkansas basin_______________ _________ 9 Cause of flood______________1___________ ______ 11 Principal areas of intense rainfall____ ___ _ 15 Effect of reservoirs on the flood__________________________ 16 Flood flows_______________________________________ 19 Method of determination________________ ______ _ 19 The flood between Canon City and Pueblo_________________ 23 The flood at Pueblo________________________________ 23 General features_____________________________ 23 Arrival of tributary flood crests _______________ 25 Maximum discharge__________________________ 26 Total discharge_____________________________ 27 The flood below Pueblo_____________________________ 30 General features _________ _______________ 30 Tributary streams_____________________________ 31 Fountain Creek____________________________ 31 St. Charles River___________________________ 33 Chico Creek_______________________________ 34 Previous floods i____________________________________ 35 Flood of Indian legend_____________________________ 35 Floods of authentic record__________________________ 36 Maximum discharges -
Secondary Flow Effects on Deposition of Cohesive Sediment in A
water Article Secondary Flow Effects on Deposition of Cohesive Sediment in a Meandering Reach of Yangtze River Cuicui Qin 1,* , Xuejun Shao 1 and Yi Xiao 2 1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China 2 National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing 400074, China * Correspondence: [email protected]; Tel.: +86-188-1137-0675 Received: 27 May 2019; Accepted: 9 July 2019; Published: 12 July 2019 Abstract: Few researches focus on secondary flow effects on bed deformation caused by cohesive sediment deposition in meandering channels of field mega scale. A 2D depth-averaged model is improved by incorporating three submodels to consider different effects of secondary flow and a module for cohesive sediment transport. These models are applied to a meandering reach of Yangtze River to investigate secondary flow effects on cohesive sediment deposition, and a preferable submodel is selected based on the flow simulation results. Sediment simulation results indicate that the improved model predictions are in better agreement with the measurements in planar distribution of deposition, as the increased sediment deposits caused by secondary current on the convex bank have been well predicted. Secondary flow effects on the predicted amount of deposition become more obvious during the period when the sediment load is low and velocity redistribution induced by the bed topography is evident. Such effects vary with the settling velocity and critical shear stress for deposition of cohesive sediment. The bed topography effects can be reflected by the secondary flow submodels and play an important role in velocity and sediment deposition predictions. -
River Dynamics 101 - Fact Sheet River Management Program Vermont Agency of Natural Resources
River Dynamics 101 - Fact Sheet River Management Program Vermont Agency of Natural Resources Overview In the discussion of river, or fluvial systems, and the strategies that may be used in the management of fluvial systems, it is important to have a basic understanding of the fundamental principals of how river systems work. This fact sheet will illustrate how sediment moves in the river, and the general response of the fluvial system when changes are imposed on or occur in the watershed, river channel, and the sediment supply. The Working River The complex river network that is an integral component of Vermont’s landscape is created as water flows from higher to lower elevations. There is an inherent supply of potential energy in the river systems created by the change in elevation between the beginning and ending points of the river or within any discrete stream reach. This potential energy is expressed in a variety of ways as the river moves through and shapes the landscape, developing a complex fluvial network, with a variety of channel and valley forms and associated aquatic and riparian habitats. Excess energy is dissipated in many ways: contact with vegetation along the banks, in turbulence at steps and riffles in the river profiles, in erosion at meander bends, in irregularities, or roughness of the channel bed and banks, and in sediment, ice and debris transport (Kondolf, 2002). Sediment Production, Transport, and Storage in the Working River Sediment production is influenced by many factors, including soil type, vegetation type and coverage, land use, climate, and weathering/erosion rates. -
XS1 Riffle STA 0+27 Ground Points Bankfull Indicators Water Surface Points Wbkf = 26.9 Dbkf = 1.46 Abkf = 39.4 105
XS1 Riffle STA 0+27 Ground Points Bankfull Indicators Water Surface Points Wbkf = 26.9 Dbkf = 1.46 Abkf = 39.4 105 100 Elevation (ft) 95 90 0 102030405060 Horizontal Distance (ft) Team 1 Riffle STA 133 Ground Points Bankfull Indicators Water Surface Points Wbkf = 23.4 Dbkf = 1.48 Abkf = 34.6 105 100 Elevation (ft) 95 90 0 1020304050 Horizontal Distance (ft) XS3 Lateral Scour Pool STA 0+80.9 Ground Points Bankfull Indicators Water Surface Points Inner Berm Indicators Wbkf = 25.9 Dbkf = 1.73 Abkf = 44.7 105 Wib = 14 Dib = .93 Aib = 13.1 Elevation (ft) 90 0 90 Horizontal Distance (ft) Team 1 Lateral Scour Pool STA 211 Ground Points Bankfull Indicators Water Surface Points Inner Berm Indicators Wbkf = 26.8 Dbkf = 1.86 Abkf = 49.7 105 Wib = 15.2 Dib = .91 Aib = 13.7 100 Elevation (ft) 95 90 0 1020304050 Horizontal Distance (ft) XS2 Run STA 0+44.1 Ground Points Bankfull Indicators Water Surface Points Wbkf = 22.6 Dbkf = 1.96 Abkf = 44.4 105 100 Elevation (ft) 95 90 0 102030405060 Horizontal Distance (ft) Team 1 Run STA 151 Ground Points Bankfull Indicators Water Surface Points Wbkf = 24.2 Dbkf = 1.69 Abkf = 40.9 105 100 Elevation (ft) 95 90 0 1020304050 Horizontal Distance (ft) XS4 Glide STA 104.2 Ground Points Bankfull Indicators Water Surface Points Wbkf = 25.9 Dbkf = 1.62 Abkf = 42 106 Elevation (ft) 95 0 70 Horizontal Distance (ft) Team 1 Glide STA 236 Ground Points Bankfull Indicators Water Surface Points Inner Berm Indicators Wbkf = 20.8 Dbkf = 1.75 Abkf = 36.3 105 Wib = 15.7 Dib = .85 Aib = 13.3 100 Elevation (ft) 95 90 0 1020304050 -
Is Hydrology Kinematic?
HYDROLOGICAL PROCESSES Hydrol. Process. 16, 667–716 (2002) DOI: 10.1002/hyp.306 Is hydrology kinematic? V. P. Singh* Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803-6405, USA Abstract: A wide range of phenomena, natural as well as man-made, in physical, chemical and biological hydrology exhibit characteristics similar to those of kinematic waves. The question we ask is: can these phenomena be described using the theory of kinematic waves? Since the range of phenomena is wide, another question we ask is: how prevalent are kinematic waves? If they are widely pervasive, does that mean hydrology is kinematic or close to it? This paper addresses these issues, which are perceived to be fundamental to advancing the state-of-the-art of water science and engineering. Copyright 2002 John Wiley & Sons, Ltd. KEY WORDS biological hydrology; chemical hydrology; physical hydrology; kinematic wave theory; kinematics; flux laws INTRODUCTION There is a wide range of natural and man-made physical, chemical and biological flow phenomena that exhibit wave characteristics. The term ‘wave’ implies a disturbance travelling upstream, downstream or remaining stationary. We can visualize a water wave propagating where the water itself stays very much where it was before the wave was produced. We witness other waves which travel as well, such as heat waves, pressure waves, sound waves, etc. There is obviously the motion of matter, but there can also be the motion of form and other properties of the matter. The flow phenomena, according to the nature of particles composing them, can be distinguished into two categories: (1) flows of discrete noncoherent particles and (2) flows of continuous coherent particles. -
Logistic Analysis of Channel Pattern Thresholds: Meandering, Braiding, and Incising
Geomorphology 38Ž. 2001 281–300 www.elsevier.nlrlocatergeomorph Logistic analysis of channel pattern thresholds: meandering, braiding, and incising Brian P. Bledsoe), Chester C. Watson 1 Department of CiÕil Engineering, Colorado State UniÕersity, Fort Collins, CO 80523, USA Received 22 April 2000; received in revised form 10 October 2000; accepted 8 November 2000 Abstract A large and geographically diverse data set consisting of meandering, braiding, incising, and post-incision equilibrium streams was used in conjunction with logistic regression analysis to develop a probabilistic approach to predicting thresholds of channel pattern and instability. An energy-based index was developed for estimating the risk of channel instability associated with specific stream power relative to sedimentary characteristics. The strong significance of the 74 statistical models examined suggests that logistic regression analysis is an appropriate and effective technique for associating basic hydraulic data with various channel forms. The probabilistic diagrams resulting from these analyses depict a more realistic assessment of the uncertainty associated with previously identified thresholds of channel form and instability and provide a means of gauging channel sensitivity to changes in controlling variables. q 2001 Elsevier Science B.V. All rights reserved. Keywords: Channel stability; Braiding; Incision; Stream power; Logistic regression 1. Introduction loads, loss of riparian habitat because of stream bank erosion, and changes in the predictability and vari- Excess stream power may result in a transition ability of flow and sediment transport characteristics from a meandering channel to a braiding or incising relative to aquatic life cyclesŽ. Waters, 1995 . In channel that is characteristically unstableŽ Schumm, addition, braiding and incising channels frequently 1977; Werritty, 1997.