Dynamic Advective Water Quality Model for Rivers

Bedford, Keith W.; Sykes, Robert M.; Libicki, Charles

doi:10.1061/(asce)0733-9372(1983)109:3(535)

Cited by 15 publications

(5 citation statements)

References 12 publications

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“…is associated with secondary currents, which influence the bed shear stress, and govern the phenomenon of mass transport [4][5][6]. Holley and Abraham have also shown that the transverse velocities in wide rivers affect the concentration distributions in mixing zone [7].…”

Section: Tracer Study Using Rhodamine-b Solutionmentioning

confidence: 99%

Dispersion study for two‐dimensional modelling

Sargaonkar

Kumar

Khanna

2003

International Journal of Environmental Studies

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Simulation of water quality variation in a particular river stretch or at a particular location with time requires mathematical modelling based on advection and dispersion phenomenon. In this context, estimation of an appropriate dispersion coefficient, which is a function of characteristics of a water body, is very essential and forms an important step in mathematical modelling. The tracer study conducted in this context on the river Ganga to estimate the dispersion coefficient is described in this paper with an analysis of data based on a stream-tube approach. For the wide river Ganga, with a velocity in the range 0.3-0.5 m/s, the estimated transverse dispersion coefficient is 1.33 m 2 /s.

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Section: Tracer Study Using Rhodamine-b Solutionmentioning

confidence: 99%

Dispersion study for two‐dimensional modelling

Sargaonkar

Kumar

Khanna

2003

International Journal of Environmental Studies

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“…A more sophisticated approach to predicting habitat enhancement by restoration structures has been suggested by Gore and Nestler (1988). For dynamic flow analyses, both RIVlH (Bedford et a[., 1983) and BIRM (Johnson, 1983) were used to generate time-varying, stage-discharge information to represent conditions during hydro-peaking operation, on the Cumberland River, downstream of Wolf Creek Dam.…”

Section: Wolf Creek Dam Cumberland Rivermentioning

confidence: 99%

Comparison of Flow‐related Habitat Evaluations Downstream of Low‐head Weirs on Small and Large Fluvial Ecosystems

GORE¹,

HAMILTON²

1996

Regul. Rivers: Res. Mgmt.

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The focus of within-channel restoration is the placement and construction of instream habitat structures to enhance the capture of organic detritus and aufwuchs, as well as, colonization by macroinvertebrate and fish species. Structural design is based upon the assumption that these habitat requirements can be controlled through the design of structures that produce preferred physical and chemical conditions in relation to flow conditions. Restoration scientists are assuming that hydraulic conditions are one primary template that govern the distribution of lotic organisms. For benthic macroinvertebrates, substrate composition is the most easily manipulated habitat characteristic. The most common structures for fish habitat enhancement have been current deflectors, overpour structures (dams and weirs) and instream cover, especially for juveniles. These instream structures also modify local hydraulic conditions to present preferred habitat to benthic invertebrates. The physical habitat simulation (PHABSIM), a software package used in the instream flow incremental methodology, was used to evaluate stream enhancement activities on a low-order stream, with the placement of a series of three-log weirs on Brushy Branch, a second-order stream in Tennessee, and compared with published results of a hydraulically similar concrete structure on a large-order system used to re-regulate flows downstream of peaking hydropower facility on the Cumberland River, Tennessee. On Brushy Branch, the simulation demonstrated that benthic macroinvertebrate habitat can be dramatically increased at low flows (up to five times higher) after placement of structures that improve hydraulic conditions to sustain maximum diversity of the benthic community. In this case, then, the structures acted to augment habitat under low flow conditions. Reregulation dams, on large rivers, modify the water surface elevation and dampen high velocities, which enhances habitat for juvenile and adult salmonids when subject to the high discharge surges of peaking generation. Thus, these low-head structures augment habitat under high flow conditions. Hydraulic habitat models, then, can be a useful tool to evaluate the benefit of certain restoration activities and, in the case of weir-like structures, indicate that similar structures impart similar benefit, regardless of scale of application.

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“…We utilized CE-QUAL-RIVl, a 1-D, numerical, hydrodynamic, and water quality model, developed by Bedford et al (1983). The model consists of two codes: RIVIH, a stand-alone hydraulic routing code that simulates river flows, water surface elevations (stage), depths, cross-sectional areas, and top widths, and RIVlQ, a water quality code using output from RlVlH to drive transport algorithms.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Most rate coefficients affecting water quality variables were obtained from previous Chattahoochee River modelling studies and other relevant works (Miller and Jennings, 1979;Bedford et al, 1983;Brown and Barnwell, 1987 Field data were insufficient to calibrate or confirm the model for other water quality variables during the specific flow period, 12-19 July 1976. However, model results for autumn conditions were reasonably consistent with autumn values obtained from monthly water quality samples collected by the Georgia Department of Natural Resources (Figure 9).…”

Section: Model Confirmationmentioning

confidence: 99%

Modelling water quality of a reregulated stream below a peaking hydropower dam

Zimmerman

Dortch

1989

Regul. Rivers: Res. Mgmt.

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This paper describes CE-QUAL-RIV1 , a dynamic, one-dimensional, stream water quality model capable of simulating branched riverine systems with multiple hydraulic control structures, such as weirs, reregulation dams, and navigation locks and dams. We provide examples of potential water quality impacts associated with operations alternatives for a reregulation dam proposed for construction downstream from Buford Dam on the Chattahoochee River near Atlanta, Georgia, in the southeastern United States. Model calibration, confirmation, and application are examined. The model is calibrated for stage, transport, temperature, dissolved oxygen, carbonaceous biochemical oxygen demand, ammonium-N, and nitrate-N. Results indicate that release operations which maintain cool temperatures in summer may cause undesirable decreases in dissolved oxygen and increases in dissolved iron in autumn. Flexibility in release scheduling is recommended to avoid unnecessary problems.

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Dynamic Advective Water Quality Model for Rivers

Cited by 15 publications

References 12 publications

Dispersion study for two‐dimensional modelling

Dispersion study for two‐dimensional modelling

Comparison of Flow‐related Habitat Evaluations Downstream of Low‐head Weirs on Small and Large Fluvial Ecosystems

Modelling water quality of a reregulated stream below a peaking hydropower dam

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