Modeling of flow and contaminant transport in coupled stream–aquifer systems

Hussein, Maged; Schwartz, Franklin W.

doi:10.1016/s0169-7722(02)00229-2

Cited by 48 publications

(36 citation statements)

References 6 publications

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“…Richard and others (1979) Geohydrology Speiker and Durrell (1961) and Smindak (1992) Interaction of ground water and surface water Cross and Feulner (1964), Norris and Eagon (1971), Sheets and Yost (1994), Koltun (1995), Yost (1995), Jones and others (1996), and Dumouchelle (2001) Transport of hypothetical contaminants in the hydraulically connected stream-aquifer system Hussein and Schwartz (2003) Water (resource/quality) monitoring Miami Conservancy District (2002, 2003, 2004, 2005b), Debrewer and others (2000), Jones and others (1996), Rankin and others (1997), Reutter (2003), Rowe and others (2004), U.S. Geological Survey (2000Survey ( , 2005c, and Ohio Environmental Protection Agency (1986, 1994, 2005a) Temporal water-quality trends Pennino (1984) Effects of urban stormwater runoff Burton and others (2001) Assessments of biota, fish tissue, and stream sediment Janosy (2003), and Ohio Environmental Protection Agency (1986, 1994, 2005a) Effects of Wright-Patterson Air Force Base on the biology, sediment, and water quality of the Mad River…”

Section: Topic Referencementioning

confidence: 99%

Simulation of Streamflow and Water Quality to Determine Fecal Coliform and Nitrate Concentrations and Loads in the Mad River Basin, Ohio

Reutter¹,

Puskas²,

Jagucki³

2006

Scientific Investigations Report

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Section: Topic Referencementioning

confidence: 99%

Simulation of Streamflow and Water Quality to Determine Fecal Coliform and Nitrate Concentrations and Loads in the Mad River Basin, Ohio

Reutter¹,

Puskas²,

Jagucki³

2006

Scientific Investigations Report

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“…In fact, it is likely that most rainfall recharge in highly urbanized areas does not occur by direct infiltration but by losses during runoff collection paths. The same caution note is applicable to the interaction between groundwater and urban surface water bodies like rivers or lakes (Hussein and Schwartz, 2003;Cox et al, 2007). Water supply losses are easier to measure either by overall balance or by minimum night flow.…”

Section: Introductionmentioning

confidence: 99%

“…Inverse modeling may prove a good tool for total recharge evaluation (Vázquez-Suñé et al, 1999;Yang et al, 1999;Bauer et al, 2001;Hussein and Schwartz, 2003;Dahan et al, 2004;Lerner, 2003, 2007;Cox et al, 2007). However, this type of modeling does not help in identifying the contribution of each particular source to the total recharge.…”

Section: Introductionmentioning

confidence: 99%

An approach to identify urban groundwater recharge

Vàzquez-Suñé

Carrera

Tubau

et al. 2010

Hydrol. Earth Syst. Sci.

105

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Abstract. Evaluating the proportion in which waters from different origins are mixed in a given water sample is relevant for many hydrogeological problems, such as quantifying total recharge, assessing groundwater pollution risks, or managing water resources. Our work is motivated by urban hydrogeology, where waters with different chemical signature can be identified (losses from water supply and sewage networks, infiltration from surface runoff and other water bodies, lateral aquifers inflows, ...). The relative contribution of different sources to total recharge can be quantified by means of solute mass balances, but application is hindered by the large number of potential origins. Hence, the need to incorporate data from a large number of conservative species, the uncertainty in sources concentrations and measurement errors. We present a methodology to compute mixing ratios and end-members composition, which consists of (i) Identification of potential recharge sources, (ii) Selection of tracers, (iii) Characterization of the hydrochemical composition of potential recharge sources and mixed water samples, and (iv) Computation of mixing ratios and reevaluation of endmembers. The analysis performed in a data set from samples of the Barcelona city aquifers suggests that the main contributors to total recharge are the water supply network losses (22%), the sewage network losses (30%), rainfall, concentrated in the non-urbanized areas (17%), from runoff infiltration (20%), and the Besòs River (11%). Regarding species, halogens (chloride, fluoride and bromide), sulfate, total nitrogen, and stable isotopes ( 18 O, 2 H, and 34 S) behaved quite conservatively. Boron, residual alkalinity, EDTA and Zn did not. Yet, including these species in the computations did not affect significantly the proportion estimations.

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“…Previously, the approaches presented in this paper to generalize the Fickian model were 0309 applied to an integrated framework for conjunctive stream-aquifer transport modeling that incorporates the coupling of new and state-of-the-art models encompassing flows and solute transport in streams, groundwater, and the interactions between these two water bodies [14,15]. Shortly before this conjunctive model appeared, two other studies [7,9] stood out in recent literature that also used a similar coupling method in the development of integrated stream-aquifer transport models and then applied them to field studies. All of these three applications adopted a similar strategy for using modular structures for coupling of models and interfaces between model components.…”

Section: Introductionmentioning

confidence: 99%

“…This may limit the modelÕs capability to handle dynamically unsteady streamflows, where small time steps are generally required. Hussein and Schwartz [9] used a fully implicit finite-difference scheme for streams and aquifers and assembled the models independently. However, the stream discretization and temporal advancement of simulations are not clearly defined.…”

Section: Introductionmentioning

confidence: 99%