Sediment Budgets (Proceedings of the Porto Alegre Symposium, December 1988). IAHS Publ. no. 174, 1988.

Similar documents
Analysis of the quality of suspended sediment data

Sediment yield and availability for two reservoir drainage basins in central Luzon, Philippines

The effects of errors in measuring drainage basin area on regionalized estimates of mean annual flood: a simulation study

Investigation in the Brownlie (1981) Sediment Transport Equation in Open Channels

Regional analysis of hydrological variables in Greece

The use of L-moments for regionalizing flow records in the Rio Uruguai basin: a case study

Mathematical model for reservoir silting

WASHLOAD AND FINE SEDIMENT LOAD. By Hyoseop S. Woo, 1 Pierre Y. Julien, 2 M. ASCE, and Everett V. Richardson/ F. ASCE

Sediment transport sampling for environmental data collection

Sources of uncertainty in estimating suspended sediment load

Sediment transport analysed by energy derived concepts

Sediment sampling in rivers and canals

Technical Memorandum No Sediment Model

Bed-Material Load Computations for Nonuniform Sediments

Summary. Streams and Drainage Systems

The measurement and description of rill erosion

Bedload flux in southern Brazilian basalt scarp

Sediment load calculations from point measurements in sand-bed rivers

Suspended sediment yields of rivers in Turkey

Calculating the suspended sediment load of the Dez River

B-1. Attachment B-1. Evaluation of AdH Model Simplifications in Conowingo Reservoir Sediment Transport Modeling

Estimation of Bed Load Transport in River Omi, South Western Nigeria using Grain Size Distribution Data

Sediment storage requirements for reservoirs

DRAFT LOW FLOW CONVEYANCE CHANNEL BORAMEP TOTAL LOAD ANALYSIS 2001 MIDDLE RIO GRANDE, NEW MEXICO MAY 2005

Model Uncertainty and Analyst Qualification in Soil-Structure Interaction Analysis

Simulation model for the computation of sediment yield due to upland and channel erosion from a large basin

Colorado River sediment transport 1. Natural sediment supply limitation and the influence of Glen Canyon Dam

Influence of dam removal and past sediment mining on river morphology and biology: example of the Vienne River (France)

Geology for Engineers Sediment Size Distribution, Sedimentary Environments, and Stream Transport

Sediment Transport Analysis for Stream Restoration Design: The Good, the Bad, and the Ugly.

Technical Memorandum

Monitoring of suspended sediment concentration in discharge from regulated lakes in glacial deposits

Estimate and Comparison of Wind and ESTIMATION ET COMPARAISON DU POTENTIEL DE L EROSION EOLIENNE ET HYDRIQUE PAR LES MODELES IRIFR ET PSIAC

Recent changes of suspended sediment yields in the Upper Yangtze River and its headwater tributaries

EFFECTS OF ICE ON THE HYDRAULICS OF INNER MONGOLIA REACH OF THE YELLOW RIVER

Stream Entrainment, Erosion, Transportation & Deposition

!"#$%&&'()*+#$%(,-./0*)%(!

Erosion and solid matter transport in inland waters with reference to the Nile basin

The Influence of tropical cyclones as soil eroding and sediment transporting events. An example from the Philippines

Webinar and Weekly Summary February 15th, 2011

Variation of suspended sediment yields around New Zealand: the relative importance of rainfall and geology

Diagnostic Geomorphic Methods for Understanding Future Behavior of Lake Superior Streams What Have We Learned in Two Decades?

Earth Science Chapter 6 Section 2 Review

Quantification of Bed-Load Transport on the Upper Mississippi River Using Multibeam Survey Data and Traditional Methods

Coupling a basin erosion and river sediment transport model into a large scale hydrological model

A TIPPING-BUCKET SEDIMENT TRAP FOR CONTINUOUS MONITORING OF SEDIMENT DEPOSITION RATE

Analysis of Sedimentation in Wonogiri Reservoir

Factors affecting confluence scour

Decline of Yangtze River water and sediment discharge: Impact from natural and anthropogenic changes

(São Paulo, Brazil) Instituto de Pesquisas Energéticas e Nucleares - IPEN/CNEN-SP, Caixa Postal 11049, Pinheiros, São Paulo, Brasil 2

Modeling of long-term sedimentation in the Osijek port basin

Assessment of Lake Forest Lake Sediment Trapping Efficiency and Capacity. Marlon R. Cook Groundwater Assessment Program Geological Survey of Alabama

Spatial variation in suspended sediment transport in the Murrumbidgee River, New South Wales, Australia

Variability in discharge, stream power, and particlesize distributions in ephemeral-stream channel systems

Strategies for managing sediment in dams. Iwona Conlan Consultant to IKMP, MRCS

MATHEMATICAL MODELING OF FLUVIAL SEDIMENT DELIVERY, NEKA RIVER, IRAN. S.E. Kermani H. Golmaee M.Z. Ahmadi

3 Theoretical Basis for SAM.sed Calculations

Effectiveness of Gabions Dams on Sediment Retention: A Case Study

Hydrological modelling in Amazonia use of the MGB-IPH model and alternative databases

EVOLUTION OF THE CONCENTRATIONS AND THE SEDIMENT DISCHARGE ACCORDING TO THE LIQUID FLOWS IN THE WATERSHED OF THE WADI BELLAH TIPAZA

Appendix K.2: Sediment Management Excerpt from South Orange County Hydromodification Management Plan

NUMERICAL ANALYSIS OF THE BED MORPHOLOGY IN THE REACH BETWEEN CABRUTA AND CAICARA IN ORINOCO RIVER.

Dams, sediment, and channel changes and why you should care

Geomorphology 5. Stream Sediment Stream Sediment

HYDRAULIC STRUCTURES, EQUIPMENT AND WATER DATA ACQUISITION SYSTEMS - Vol. I - Hydraulics of Two-Phase Flow: Water and Sediment - G R Basson

Module 2. The Science of Surface and Ground Water. Version 2 CE IIT, Kharagpur

Evaluation of flood discharge hydrographs and bed variations in a channel network on the Ota River delta, Japan

7. STREAMBED TEXTURE ANALYSIS

Sediment transport capacity in rivers Capacité de transport de sédiment dans les fleuves

low turbidity high turbidity

Ripple Factor using Tapi River Data, India.

SYNTHESES OF THE SEDIMENT TRANSPORI ENG CHARACTERESTICS OF ALLUVEAL. CHANNELS

Appendix O. Sediment Transport Modelling Technical Memorandum

Towards the design of a strategy for sampling suspended sediments in small headwater catchments

Satellite remote sensing and GIS used to quantify water input for rice cultivation (Rhône delta, France)

FOREST RESEARCH INSTITUTE, DEHRADUN

Laboratory Exercise #3 The Hydrologic Cycle and Running Water Processes

Annex 29. Sediment Transport with the Danube River Flow and Sedimentation Rates along the Danube- Black Sea Navigation Route

New computation method for flood flows and bed variations in a low-lying river with complex river systems

Geomorphology Geology 450/750 Spring Fluvial Processes Project Analysis of Redwood Creek Field Data Due Wednesday, May 26

The reliability of rating curve estimates of suspended sediment yield: some further comments

Squaw Creek. General Information

(case study Karaj watershed)

U.S. DEPARTMENT OF THE INTERIOR U.S. GEOLOGICAL SURVEY MEASUREMENTS OF SAND THICKNESSES IN GRAND CANYON,

Platte River Flow and Sediment Transport Between North Platte and Grand Island, Nebraska ( )

CHAPTER 07 CANAL DESIGN

Probability Estimation of River Channel Capacity

The role of a movable sandy-bed in modelling open-channel flow

Analysis of coarse sediment connectivity in semiarid river channels

Remaining Capacity in Great Lakes Reservoirs

ESTIMATION OF LOW RETURN PERIOD FLOODS. M.A. BERAN and M J. NOZDRYN-PLOTNICKI Institute of Hydrology, Wallingford, Oxon.

The influence of a dam on the downstream degradation of a river bed: case study of the Tigris River

Surface Water and Stream Development

mountain rivers fixed channel boundaries (bedrock banks and bed) high transport capacity low storage input output

7.3 Sediment Delivery Analysis

Suspended Sediment Rating Curve for Tigris River Upstream Al- Betera Regulator

The impact of hill land clearance and urbanization on runoff and sediment yield of small catchments in Pulau Pinang, Malaysia

Dr. S.SURIYA. Assistant professor. Department of Civil Engineering. B. S. Abdur Rahman University. Chennai

Measurement of bed load in rivers

The effectiveness of check dams in controlling upstream channel stability in northeastern Taiwan

Transcription:

Sediment Budgets (Proceedings of the Porto Alegre Symposium, December 1988). IAHS Publ. no. 174, 1988. Preliminary estimate of bed load using mean grain size distribution data F. R. SEMMELMANN, M. P. BORDAS & A. E. LANNA Institute of Hydraulic Research (IPH), Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil Abstract Relationships between parameters of grain size distributions of river bed material and suspended sediments are used to obtain estimates of the importance of bed load, expressed as a percentage of suspended load. Based on mean bed material and suspended sediment grain size distributions, a total of 59 Brazilian sediment gauging stations were classified with regard to wash load/suspended bed sediment predominance and probable relative importance of bed load. Estimation de l'ordre de grandeur du charriage à l'aide de courbes granulométriques moyennes Résumé L'étude des caractéristiques des courbes granulométriques moyennes du matériau de fond et de la charge en suspension de plusieurs cours d'eau brésiliens permet d'évaluer la part qu'occupe la charge de fond dans la composition du débit solide et de l'exprimer en pourcentage de la suspension. La comparaison de ces caractéristiques, faites en 59 stations sédimentométriques permet de classer celles-ci selon les valeurs du rapport entre les charges de suspension en provenance du lit et du bassin versant (wash load), et l'apport de la charge de fond à la composition du débit solide. SEDIMENT DATA AND TOTAL LOAD When sediment yield data, generally derived from suspended discharge measurements, are used for specific projects, the determination of total load may become necessary. Procedures for the calculation of total sediment load require not only the use of additional data but also considerable computational effort, particularly when various formulas are employed to establish bed load (<2 ja ) or suspended bed sediment discharge (Q sst )- In such cases an exploration of the relative significance of the components of total load is indicated. This paper presents an example of a preliminary estimate of bed load importance for 59 Brazilian sediment gauging stations. No data on total load are available for these stations; the available data consist of mean concentration of suspended sediment together with grain size distributions of bed material and measured suspended sediment. 293

F. R. Semmelmann et al. 294 STRUCTURE OF TOTAL SEDIMENT LOAD AND COMPONENT GRAIN SIZE DISTRIBUTIONS The relationships between the grain size distribution of river bed material (curve ABC in Fig. 1) and the two size populations derived from it, that is bed load (curve DEF in Fig. 1) and suspended bed sediment compositions (curve GHI in Fig. 1) have received little attention in investigations of the structure of total sediment load. Percent. by weight Bed material Bed load Suspended bed Wash load material 50- C/F/I 0,01 0,001 Diameter (mm) Fig. 1 Composition of fluvial sediments and solid discharge components. Studies by Colby & Hembree (1955), Hubbell & Matejka (1959), Nordin & Beverage (1965), and Wilson et al. (1979) are examples where quantification of total load for sand-sizes bed material constituted the principal objective, whereas information on the structure of total load was only of secondary interest. Unfortunately, these studies do not give detailed information on the size distributions of bed material and transported sediment, indispensable for deriving general relationships. With the exception of Bogardi (1974), no published information on size distributions of bed load has been found; on the other hand, due to the procedures involved in data collection, the available data on grain-size distribution refer either to measured or total suspended sediment (Q ^ as indicated by curve GHIJKL in Fig. 1. These distributions are a composite of the grain sizes of wash load (curve JKL in Fig. 1) and suspended bed sediment load, thereby complicating

295 Preliminary estimate of bed load the identification of their individual components. However, when simultaneous size distributions of bed material and suspended load are available, it is possible to separate the two populations. The results of laboratory investigations by Brooks (1958) and others on bed material composition and bed sediment sizes cannot be used directly to estimate the corresponding quantities for rivers. Therefore, data from some field measurements and calculated bed material discharge (IPH, 1973) were used to detect trends of some of the parameters related to bed material transport. The selection of parameters relating bed load to measured suspended load followed the empirical relations of Maddock (Vanoni, 1977). SIMELARTTY OF BED MATERIAL AND SUSPENDED SEDIMENT COMPOSITION The parameters indicated by Maddock to estimate bed load as a percentage of measured suspended load are: suspended load concentration levels (<1000; 1000-7500; >7500 ppm), type of bed material, and texture of suspended sediment (with specific references to similar to bed material and percent of sand). As neither the basic data nor the meaning of similarity are specified in Vanoni's reference, the association between bed load and several parameters related to the similarity of sediments was investigated. The parameters used to express similarity of grain size distributions (see Fig. 2) are: iss_ Cssw p^/ / ; / / i I 1 i I 1 i 1 DOB Oiooss -'' DlOOB r BB AB f- BB 0,01 0,1 1 > grain size diameter (mm) Bss ^ssw - Percent of bed material not contained in suspended load AB = 100 - B8 - Percent of bed material contributing to suspended load - Percent of suspended load contained in bed material BSS» 100 - Cssw - Percent of suspended load not contained in bed material Bed material (AB + BB ) Suspended load ( Bss + Cssw Ï Fig. 2 Similarity of bed material and suspended load grain size compositions. Bed material size fractions contributing to suspended load, expressed as a percentage of the bed material composition (corresponding to B B in Fig. 2).

F. R. Semmelmann et al. 296 Grain size fractions of suspended sediment which are contained in bed material, expressed as percentages of the suspended sediment load compositions (corresponding to B in Fig. 2). Frequency (in percent) of grain sizes contained both in bed material and in suspended sediment, using the expression percentage of bed material contained/percentage of suspended sediment (corresponding to B JB ss as identified in Fig. 2). Degree of uniformity of the grain-size distributions based on the relation D 90 /D 10 (Fig. 2). On the basis of the first two parameters, it is possible to classify grain-size distributions according to the predominance ( 50%) of size fractions contained in river bed material or of other components of total sediment load, such as for instance, wash load. The third parameter seeks to express the similarity of two (or more) sediment size distributions when specified levels of relative importance of the size fractions, occurring in the two (or more) distributions, are observed. The last parameter seeks to characterize the nature of the grain-size distributions of bed material and the sediments derived from it. It measures the departure from uniformity of different sediments derived from a specified source material, as, for instance, bed load and suspended sediment grain-size distributions with regard to bed material. Each of these parameters was first studied using data on grain-size distributions of bed material and solid discharge components as bed load, suspended bed sediment and wash load of the Canal Sâo Gonçalo 0PH, 1973). This was to establish general trends of the relations between bed material discharge and related parameters. In the cases analysed, relative bed load importance covered the range of 10-60% of suspended load. The trends detected in the Sâo Gonçalo data were confirmed using data of Wilson et al. (1979) for cases in which bed load varied from 7 to 35% of measured suspended load. After selecting, from amongst the various alternatives, those relations that may be used to analyse data from 59 sediment gauging stations, for all of which mean suspended load concentration and grain-size data of bed material and suspended load are available, the following relations were found for mean concentration levels of F $ 1200 ppm. 1. A considerable degree of relative bed load importance {Q 0.5 Q ) was found to be associated with the following conditions: 1.1 bed material which is contributing to suspended load (expressed in percent of bed material size distributions [BMSD]), is predominant ( 50%) (B B in Fig. 2); 1.2 bed sediment is predominant ( 50%) in suspended load size distributions [SLDS], expressed in percent of suspended load (B in Fig. 2); 1.3 the relative importance of size fractions which are contained in bed material and in suspended load is similar, provided that grain sizes, occurring in both size distributions, are predominant. The expression BMSD/SLSD was found to be associated with high values of relative bed load importance for the range of 0.75 5

297 Preliminary estimate of bed load 2. 3. BMSD/SLSD < 1.25, with the maximum close to 1; 1.4 the degree of uniformity (DU) of the size distributions of bed material and suspended sediment load is coincident in both distributions, showing either high (DU < 5) or intermediate (5 5 DU «7) degrees of uniformity. Moderate relative importance (0.5 Q ss > Q sa > 0.1 QJ [Maddock specifies 12%] of bed load was found to be associated with the conditions (1.1), (1.2) and for values of the expression BMSD/SLSD, greater than 1.25 or less than 0.75. Low relative importance (Q < 0.1 Q s ) [Maddock specifies 5-12%] of bed load was found to be associated with predominance of wash load or reduced importance ($50%) of those grain size fractions of bed material contributing to suspended load, together with different degrees of uniformity of sediments and bed material. CLASSIFICATION OF SEDIMENT GAUGING STATIONS Sediment data collected by Brazilian national, regional and state agencies (DNAEE, DNOCS, CODEVASF, CEMIG, DAEE, DNOS, SERLA, SUREHMA and others) was supplied by ELETROBRAS. Bordas et al. (1988) present the interpretation of data with respect to mean concentration and specific yield in connection with other parameters. From information on distributions of individual sediment samples and mean composition of cross sections, it was possible to elaborate mean grain size distributions of bed material and suspended sediment for 59 sediment gauging stations of Brazilian rivers. The average number of mean cross section distributions of bed material and of measured suspended sediment are 15 and 26 respectively for each station. Data were collected over the period 1960-1986, the number of stations varying from year to year; the maximum of 30 reporting stations occurred in 1977. Mean concentration of suspended load is less than 1000 ppm for 58 stations and c~ = 1184 ppm in one case. Table 1 Classification of sediment gauging stations Level of prob.relative Mean concentr.level Wash load predominance Susp.bed sediment, / v.-. ~ / n c /=-% predominance bed load importance of susp.load (ppm) G.Stations/Re 1.freq.(%) Q stations/rel,fre (%) l.low (Q < 0.1 Q ) < 1000 30 50 3 5 2.moderate (0.1 Q «Q < 0.5 Q ) ss sa ss 3. considerable (Q S.0.5 Q ) 4.low (Q < 0.1 Q ) (31) 527. (28)

F. R. Semmelmann et al. 298 SUSPENDED SEDIMENT COMPOSITION OF BRAZILIAN RIVERS D Bed material predominance O Wash load predominance / Gauging station downstream of impoundment i^o 1-59 Identification of gauging station 500 Km Fig. 3 Bed material and suspended sediment composition data. During the analysis of data the sediment gauging stations were classified with regard to predominant provenance of suspended load grain-size distributions wash load and suspended bed sediment load as well as to probable relative importance of bed load (as a percentage of suspended load). Results are presented in Table 1. In classifying the 59 gauging stations, the relative frequency (52%) of gauging stations presenting wash load predominance in suspended load size distributions is considered significant. All cases of wash load predominance coincide with low relative bed load importance (g < 0.1 Q s ) at the mean suspended load concentration levels observed (<1200 ppm).

299 Preliminary estimate of bed load High bed load contribution, in Maddock's terms meaning that Q sa > Q g and that Q > 0.6 Q^ in terms of the data base used in the present study, is to be expected in one case (2%), which is included in item 3 "considerable relative bed load importance" of Table 1. At this station the size compositions of bed material and suspended load are extremely similar, the degrees of uniformity of both size distributions being very close. Considerable bed load contribution (Q 0.5 Q^ is to be expected in 14 cases, representing 24% of the population examined. At these gauging stations, composition and uniformity of sediments were less similar. The spatial distribution of gauging stations showing predominance of wash load, or of suspended bed sediment size distributions, is presented in Fig. 3. Gauging stations with predominance of wash load grain sizes are found in minor tributaries (stations 1 and 2) or in the lower basin of the River Sâo Francisco (stations 39, 40, 41, 42 and 43) in the northern/ northeastern basins. Predominance of suspended bed sediment grain sizes can be detected, together with river reaches alternating between wash load and bed sediment predominance, in some basins in central-eastern Brazil. A comprehensive interpretation of the distributions requires the consideration of a great number of parameters as for instance land use patterns, soil and climatic conditions, effect of reservoirs on selective sediment retention, variation of grade and other parameters. REFERENCES Bogardi, J. (1974) Sediment Transport in Alluvial Streams. Akadémai Kiadô, Budapest. Bordas, M. P., Lanna, A. E. & Semmelmann, F. R. (1988) Evaluation des risques d'érosion et de sédimentation au Brésil a partir de bilans sédimentologiques rudimentaires. In: Sediment Budgets (Proc. Porto Alegre Symp., December 1988). IAHS Publ. no. 174. Brooks, N. H. (1958) Mechanics of streams with movable beds of fine sand. Trans. ASCE 123, 526-594. Colby, B. R. & Hembree, C. H. (1955) Computation of total sediment discharge; Niobara River near Cody, Nebraska. USGS Wat. Supply Pap. 1357. Hubbell, D. W. & Matejka, D. Q. (1959) Investigations of sediment transportation, Middle Loup at Dunning, Nebraska. USGS Wat. Supply Pap. 1476. IPH (1973) Estudo sedimentologico no canal Sâb Gonçalo, Porto Alegre. Institute de Pesquisas Hidrâulicas, UFRGS, 2 vol. Nordin, C. R, Jr & Beverage, J. P. (1965) Sediment transport in the Rio Grande, N.M. USGS Prof. Pap. 462-F. Wilson, G., Jr, Rodrigues, H. T. & Santos, J. S. (1979) Estudos hidrâulico-sedimentolôgicos realizados no trecho inferior do rio Ivaf, 1974-1979, Belo Horizonte. Institute de Pesquisas Radioativas, NUCLEBRÉS, Belo Horizonte, 2 vol. Vanoni, V. A. (1977) Sedimentation Engineering (2nd print). ASCE, New York.