Analytical solution for solute transport resulting from instantaneous injection in streams with transient storage

Smedt, Florimond De; Brevis, Wernher; Debels, P.

doi:10.1016/j.jhydrol.2005.04.002

Cited by 83 publications

(69 citation statements)

References 32 publications

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“…It can be seen an asymmetrical shape of observed solute concentration curve, characterized by steep leading edges and prolonged tails (especially at 1340 m from injection point). It is probably caused by transient storage occurrence when portions of transported solute become temporarily isolated from main stream in channel [De Smedt et al 2005]. In our case it is due to existence of aquatic vegetation and dead zones in places of the bank failure in the downstream reach of the river.…”

Section: Resultsmentioning

confidence: 75%

Numerical simulations in the Mala Nitra stream by 1D model

Szomorová

Halaj

2015

ASP FC

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abstract. The development of the computer technologies enables us to solve the ecological problems in water management practice very efficiently. Hydrodynamical models which simulating transport of pollution in surface water are very demanding on input data and calculation time, but on the other side, they are able to simulate detailed effect of dispersion in surface waters. The paper deals with 1-dimensional numerical model HEC-RAS and its response on various values of dispersion coefficient. This parameter is one of the most important input data for simulation of pollution spreading in streams. Getting fair value, however, is in practice very difficult. One option is the most accurate simulation of tracer experiments carried out on the ground on the natural surface flow. For the pilot application was selected flow Small Nitra. Of longitudinal dispersion coefficient in the flow, or the flow of a similar nature (with and limit the rate of flow), were in the range 0.05 to 2.5 m 2 · s -1. The next task was carrying out the model sensitivity analysis, which means to evaluate input data influences, especially longitudinal dispersion coefficient, on outputs computed by 1-dimensional simulation model HEC-RAS. Sensitivity analysis model HEC-RAS also showed its adequate response to changes of the input parameter. Given the present results it can be stated that the HEC-RAS model responds to changes in the values of the longitudinal dispersion coefficient appropriately. HEC-RAS model has demonstrated its applicability to simulation of pollution in streams, and therefore is an appropriate tool for decision making related to the quality of water resources.

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Section: Resultsmentioning

confidence: 75%

Numerical simulations in the Mala Nitra stream by 1D model

Szomorová

Halaj

2015

ASP FC

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“…The acquisition of such data can be expensive and time consuming, so many modelling studies of chemical transport in streams have tended to rely on relatively few well documented field case studies, such as Uvas Creek, California, USA [6,7], and studies in South America [8] and Europe [9]. A particularly broad study of available data synthesized results of 162 tracer injections performed in 87 streams, resulting in a pooled dataset of 633 breakthrough curves [10].…”

Section: Introductionmentioning

confidence: 99%

New Potentiometric Wireless Chloride Sensors Provide High Resolution Information on Chemical Transport Processes in Streams

Smettem

Klaus

Harris

et al. 2017

Water

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Abstract:Quantifying the travel times, pathways, and dispersion of solutes moving through stream environments is critical for understanding the biogeochemical cycling processes that control ecosystem functioning. Validation of stream solute transport and exchange process models requires data obtained from in-stream measurement of chemical concentration changes through time. This can be expensive and time consuming, leading to a need for cheap distributed sensor arrays that respond instantly and record chemical transport at points of interest on timescales of seconds. To meet this need we apply new, low-cost (in the order of a euro per sensor) potentiometric chloride sensors used in a distributed array to obtain data with high spatial and temporal resolution. The application here is to monitoring in-stream hydrodynamic transport and dispersive mixing of an injected chemical, in this case NaCl. We present data obtained from the distributed sensor array under baseflow conditions for stream reaches in Luxembourg and Western Australia. The reaches were selected to provide a range of increasingly complex in-channel flow patterns. Mid-channel sensor results are comparable to data obtained from more expensive electrical conductivity meters, but simultaneous acquisition of tracer data at several positions across the channel allows far greater spatial resolution of hydrodynamic mixing processes and identification of chemical 'dead zones' in the study reaches.

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“…This paper concerns the analyses that are based on the concept of storage zone models, an approach that accounts for the existence of stagnant zones of river water that are stationary relative to the faster moving waters near the centre of the channel (Nordin & Troutman, 1980;Bencala & Walters, 1983;Hart, 1995;Czernuszenko & Rowiński, 1997;De Smedt et al, 2005;Guymer & Dutton, 2005).…”

Section: Introductionmentioning

confidence: 99%