The residence time of river water in reservoirs

Rueda, Francisco J.; Moreno-Ostos, Enrique; Armengol, Joan

doi:10.1016/j.ecolmodel.2005.04.030

Cited by 137 publications

(118 citation statements)

References 19 publications

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“…37% (e 21 ) of initial mass still remains in the system after t ¼ T f . This suggests that flushing timescales in non-CSTR systems can probably be characterized as the e-folding time, the time needed that the mass remaining in the system reaches 37% (e 21 ) of the total mass initially released (Rueda et al 2006).…”

Section: Considering the Fact That The Rtd (Or Ftd) Hasmentioning

confidence: 99%

“…In order to estimate the FTD for time t 0 , the tracer should be released uniformly throughout the system. Then, the FTD can be calculated from Equation (4) and the mean flushing time from Equation (5) (Rueda et al 2006).…”

Section: Transit Time and Residence Time Distributionmentioning

confidence: 99%

“…In this study, first, the flushing time of the Dez reservoir was estimated using different methods. Second, the transit time in the Dez reservoir and the mean flushing time (Rueda et al 2006) of the Dez reservoir were estimated by physically based approaches. As the Dez reservoir is one of the key aquatic environments in Iran, therefore, precise and convenient methods were needed to calculate its parameters.…”

Section: Abdelrhman 2005mentioning

confidence: 99%

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On the estimation of transport timescales – case study: the Dez reservoir

Hasanloo

Etemad‐Shahidi

2010

Journal of Hydroinformatics

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The purpose of this study is to demonstrate an application of a hydroinformatics methodology for analysis of transport timescales in a large reservoir. Therefore, a laterally averaged two-dimensional numerical model was used to estimate the transit time, flushing times and combination of these two timescales by modeling about 230 scenarios in the Dez reservoir.The model was calibrated using temperature profiles and then executed for a period of two years (2002)(2003)(2004). A possible characterization of the flushing time as e-folding time was investigated and the results revealed that the e-folding time, which is simpler to estimate, can be used in place of the flushing time in the Dez reservoir. The effects of the location of the outlet on each of these timescales were also investigated. Results indicated that the mean residence and flushing times have their smallest value when the outlet is set in the middle of the Dez dam. The mean flushing times were also less sensitive to thermal structures of the Dez reservoir than the transit times. Finally, the temporal patterns of these timescales were elucidated. It was found that no single transport timescale can be used for all conditions.

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Section: Considering the Fact That The Rtd (Or Ftd) Hasmentioning

confidence: 99%

Section: Transit Time and Residence Time Distributionmentioning

confidence: 99%

Section: Abdelrhman 2005mentioning

confidence: 99%

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On the estimation of transport timescales – case study: the Dez reservoir

Hasanloo

Etemad‐Shahidi

2010

Journal of Hydroinformatics

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“…Groundwater transit (or travel) time is defined as the elapsed time when the water molecules exit 336 the flow system Rueda et al, 2006). A 337 point of reference for mean transit times are often the hydraulic turnover times, since they define 338 the turnover timescale based on the best understanding or assumption of the catchment subsurface 339 volume and mobile storage if the unsaturated zone transit time is small compared to the total transit 340 time of the system.…”

Section: Groundwater Travel Times 335mentioning

confidence: 99%

Integrating topography, hydrology and rock structure in weathering rate models of spring watersheds

Pacheco

Weijden

2012

Journal of Hydrology

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We are very pleased with your decision regarding our manuscript. We addressed the very minor corrections pointed out by reviewer #2, as can be consulted in the DOC file Revision_Notes. The revised version of the manuscript is given in the DOC file Reviewer #1No corrections to be made. Reviewer #21)The abstract contains some formulas. I think it is better to delete them from the abstract.The formulas were deleted. 2)p.7, 155: Please check the calculation of percolation time of soil water to reach the bedrock. Based on the given K, it should be at least 3.75 days, i.e. >3.75 days.The sentence was corrected: where the text was "< 3,75 days" is now "at least 3,75 days". 3)p.8, 188-190: The sequence of sentences beginning with "Altogether." do not make sense. How does a model operating with a minimum amount of information affects the type of methods used in the model?The sentence was deleted (in fact, it was not an essential sentence). 4)Perhaps a better phrase can be used instead of the term "aquifer formation constant". It sounds like the hydraulic conductivity and porosity have something to do with the formation of the aquifer.Throughout the text (in 7 places), the term "formation constants", although used regularly in hydrologic texts to describe aquifer hydraulic parameters such as K and n e , was replaced by "hydraulic parameters". 5)p.19, 461-64: Here the authors mention that no spring flow discharge was information was available. However, it is not clear what was done to compensate for this. The authors should make it clear to the reader by rephrasing the sentence and using better wording, what was done exactly. Perhaps this issue can be clarified in the previous methods section of the manuscript.The way how we compensated for the lacking of spring flow discharges is explained in the section "Aquifer Formation Hydraulic Parameters and Travel Times of Spring Watersheds". However, in the section ("Aquifer Formation Hydraulic Parameters and Travel Times of Stream Watersheds") we now added the following sentence to make this more clear: "The hydraulic conductivities (K) and effective porosities (n e ) resulting from this characterization were then used as proxies of the K and n e values of the spring watersheds, as explained in the next section, which also describes how groundwater travel times were downscaled from the larger (stream) the smaller (spring) scales." The papers corresponding to the reference numbers are given in the legend of RESEARCH HIGHLIGHTS• develop a weathering model that incorporates rock structure in the rate equation• conceive a weathering model especially designed for fracture artesian springs•Create a model that integrates topography, hydrology, rock structure and weathering evaluation of morphologic parameters is subjective due to difficulties in conceiving the catchment 21 geometry. Besides, when springs emerge from crystalline massifs, rock structure must be accounted 22 in formulas describing the area of minerals exposed to the percolating fluids, for a realistic 23 evaluation of th...

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“…These physical processes not only determine the spatial and temporal patterns of dissolved and suspended substances such as nutrients and solids, but they also regulate the ecological conditions for the occurrence of biogeochemical processes (Rueda et al, 2006). As a first order description of transport and mixing processes occurring in aquatic systems, residence time was often employed by limnologists to explain the variability in lake characteristics such as thermal stratification, nutrient concentration, primary production and trophic status (Monsen et al, 2002;Rueda et al, 2006;Xu et al, 2010a). Many examples published in international journals have illustrated that applications of residence time are pervasive in hydrologic, geochemical and ecological studies.…”

Section: Introductionmentioning

confidence: 99%