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Volumn 24, Issue 12, 2010, Pages 1730-1741

Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time

Author keywords

Mean residence time; Mixing models; Parameter inference; Partial mixing

Indexed keywords

APRIORI; CONCEPTUAL MODEL; DESCRIPTORS; FLOW PATHWAYS; HYDROLOGICAL SYSTEM; LUMPED PARAMETER MODELS; MEAN RESIDENCE TIME; MIXING MODELS; MIXING PROCESS; NEW ZEALAND; OXYGEN-18; P-M MODEL; PARAMETER INFERENCE; SINE-WAVE; STABLE WATER ISOTOPES; STORAGE PROPERTIES; STREAM WATER; TRACER INPUT; TRACER SIMULATIONS; WATER ISOTOPE;

EID: 77954379165     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.7595     Document Type: Article
Times cited : (74)

References (42)
  • 1
    • 0030159491 scopus 로고    scopus 로고
    • Application of unit hydrograph techniques to solute transport in catchments
    • Barnes CJ, Bonell M. 1996. Application of unit hydrograph techniques to solute transport in catchments. Hydrological Processes 10: 793-802.
    • (1996) Hydrological Processes , vol.10 , pp. 793-802
    • Barnes, C.J.1    Bonell, M.2
  • 2
    • 0020332377 scopus 로고
    • Macropores and water-flow in soils
    • Beven K, Germann P. 1982. Macropores and water-flow in soils. Water Resources Research 18: 1311-1325.
    • (1982) Water Resources Research , vol.18 , pp. 1311-1325
    • Beven, K.1    Germann, P.2
  • 3
    • 34547230676 scopus 로고    scopus 로고
    • Factors influencing the residence time of catchment waters: a virtual experiment approach
    • DOI: 10.1029/2006wr005393
    • Dunn SM, McDonnell JJ, Vache KB. 2007. Factors influencing the residence time of catchment waters: a virtual experiment approach. Water Resources Research 43: W06408. DOI: 10.1029/2006wr005393.
    • (2007) Water Resources Research , vol.43
    • Dunn, S.M.1    McDonnell, J.J.2    Vache, K.B.3
  • 4
    • 49449092825 scopus 로고    scopus 로고
    • Learning from model improvement: on the contribution of complementary data to process understanding
    • DOI: 10.1029/2007wr006386
    • Fenicia F, McDonnell JJ, Savenije HHG. 2008. Learning from model improvement: on the contribution of complementary data to process understanding. Water Resources Research 44: W06419. DOI: 10.1029/2007wr006386.
    • (2008) Water Resources Research , vol.44
    • Fenicia, F.1    McDonnell, J.J.2    Savenije, H.H.G.3
  • 6
    • 0029768746 scopus 로고    scopus 로고
    • Direct simulation of groundwater age
    • Goode DJ. 1996. Direct simulation of groundwater age. Water Resources Research 32: 289-296.
    • (1996) Water Resources Research , vol.32 , pp. 289-296
    • Goode, D.J.1
  • 7
    • 0033051194 scopus 로고    scopus 로고
    • A compartmental mixing-cell approach for the quantitative assessment of groundwater dynamics in the Otway Basin, South Australia
    • Harrington GA, Walker GR, Love AJ, Narayan KA. 1999. A compartmental mixing-cell approach for the quantitative assessment of groundwater dynamics in the Otway Basin, South Australia. Journal of Hydrology 214: 49-63.
    • (1999) Journal of Hydrology , vol.214 , pp. 49-63
    • Harrington, G.A.1    Walker, G.R.2    Love, A.J.3    Narayan, K.A.4
  • 8
    • 67650280446 scopus 로고    scopus 로고
    • Regionalization of transit time estimates in montane catchments by integrating landscape controls
    • DOI: 10.1029/2008wr007496
    • Hrachowitz M, Soulsby C, Tetzlaff D, Dawson JJC, Malcolm IA. 2009. Regionalization of transit time estimates in montane catchments by integrating landscape controls. Water Resources Research 45: W05421. DOI: 10.1029/2008wr007496.
    • (2009) Water Resources Research , vol.45
    • Hrachowitz, M.1    Soulsby, C.2    Tetzlaff, D.3    Dawson, J.J.C.4    Malcolm, I.A.5
  • 9
    • 14944381637 scopus 로고    scopus 로고
    • Confronting input uncertainty in environmental modelling
    • Duan Q, Gupta HV, Sorooshian S, Rousseau AN, Turcotte R (eds). American Geophysical Union Washington, DC
    • Kavetski D, Franks SW, Kuczera G. 2002. Confronting input uncertainty in environmental modelling. In Calibration of Watershed Models,Water Science and Application series, Duan Q, Gupta HV, Sorooshian S, Rousseau AN, Turcotte R (eds). American Geophysical Union Washington, DC 6: 49-68.
    • (2002) Calibration of Watershed Models,Water Science and Application series , vol.6 , pp. 49-68
    • Kavetski, D.1    Franks, S.W.2    Kuczera, G.3
  • 10
    • 34247610333 scopus 로고    scopus 로고
    • Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration
    • DOI: 10.1029/2006wr005195
    • Kavetski D, Kuczera G. 2007. Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration. Water Resources Research 43: W03411. DOI: 10.1029/2006wr005195.
    • (2007) Water Resources Research , vol.43
    • Kavetski, D.1    Kuczera, G.2
  • 11
    • 33644550945 scopus 로고    scopus 로고
    • Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts
    • Kavetski D, Kuczera G, Franks SW. 2006a. Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts. Journal of Hydrology 320(1-2): 173-186.
    • (2006) Journal of Hydrology , vol.320 , Issue.1-2 , pp. 173-186
    • Kavetski, D.1    Kuczera, G.2    Franks, S.W.3
  • 12
    • 33646495330 scopus 로고    scopus 로고
    • Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
    • DOI: 10.1029/2005wr004368
    • Kavetski D, Kuczera G, Franks SW. 2006b. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory. Water Resources Research 42: W03407. DOI: 10.1029/2005wr004368.
    • (2006) Water Resources Research , vol.42
    • Kavetski, D.1    Kuczera, G.2    Franks, S.W.3
  • 13
    • 1542526517 scopus 로고    scopus 로고
    • A double paradox in catchment hydrology and geochemistry
    • DOI: 10.1002/Hyp.5108
    • Kirchner JW. 2003. A double paradox in catchment hydrology and geochemistry. Hydrological Processes 17: 871-874. DOI: 10.1002/Hyp.5108.
    • (2003) Hydrological Processes , vol.17 , pp. 871-874
    • Kirchner, J.W.1
  • 14
    • 33646532065 scopus 로고    scopus 로고
    • Getting the right answers for the right reasons: linking measurements, analyses, and models to advance the science of hydrology
    • DOI: 10.1029/2005wr004362
    • Kirchner JW. 2006. Getting the right answers for the right reasons: linking measurements, analyses, and models to advance the science of hydrology. Water Resources Research 42: W03s04. DOI: 10.1029/2005wr004362.
    • (2006) Water Resources Research , vol.42
    • Kirchner, J.W.1
  • 16
    • 0001257571 scopus 로고    scopus 로고
    • Using interactive recession curve analysis to specify a general catchment storage model
    • Lamb R, Beven K. 1997. Using interactive recession curve analysis to specify a general catchment storage model. Hydrology and Earth System Sciences 1: 101-113.
    • (1997) Hydrology and Earth System Sciences , vol.1 , pp. 101-113
    • Lamb, R.1    Beven, K.2
  • 17
    • 0025584494 scopus 로고
    • A rationale for old water discharge through macropores in a steep, humid catchment
    • McDonnell JJ. 1990. A rationale for old water discharge through macropores in a steep, humid catchment. Water Resources Research 26: 2821-2832.
    • (1990) Water Resources Research , vol.26 , pp. 2821-2832
    • McDonnell, J.J.1
  • 19
    • 0026312760 scopus 로고
    • Effect of catchment-scale subsurface mixing on stream isotopic response
    • McDonnell JJ, Stewart MK, Owens IF. 1991. Effect of catchment-scale subsurface mixing on stream isotopic response. Water Resources Research 27: 3065-3073.
    • (1991) Water Resources Research , vol.27 , pp. 3065-3073
    • McDonnell, J.J.1    Stewart, M.K.2    Owens, I.F.3
  • 20
    • 0036467519 scopus 로고    scopus 로고
    • A review of the evolving perceptual model of hillslope flowpaths at the Maimai catchments, New Zealand
    • McGlynn BL, McDonnel JJ, Brammer DD. 2002. A review of the evolving perceptual model of hillslope flowpaths at the Maimai catchments, New Zealand. Journal of Hydrology 257: 1-26.
    • (2002) Journal of Hydrology , vol.257 , pp. 1-26
    • McGlynn, B.L.1    McDonnel, J.J.2    Brammer, D.D.3
  • 21
    • 33750025093 scopus 로고    scopus 로고
    • A review and evaluation of catchment transit time modeling
    • McGuire KJ, McDonnell JJ. 2006. A review and evaluation of catchment transit time modeling. Journal of Hydrology 330: 543-563.
    • (2006) Journal of Hydrology , vol.330 , pp. 543-563
    • McGuire, K.J.1    McDonnell, J.J.2
  • 23
    • 0018651203 scopus 로고
    • Streamflow generation in a forested Watershed, New-Zealand
    • Mosley MP. 1979. Streamflow generation in a forested Watershed, New-Zealand. Water Resources Research 15: 795-806.
    • (1979) Water Resources Research , vol.15 , pp. 795-806
    • Mosley, M.P.1
  • 24
    • 33846670892 scopus 로고    scopus 로고
    • Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty)
    • DOI: 10.1022/Hyp.6186
    • Page T, Beven KJ, Freer J, Neal C. 2007. Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty). Hydrological Processes 21: 292-307. DOI: 10.1022/Hyp.6186.
    • (2007) Hydrological Processes , vol.21 , pp. 292-307
    • Page, T.1    Beven, K.J.2    Freer, J.3    Neal, C.4
  • 25
    • 0022768103 scopus 로고
    • Storm runoff generation in humid headwater catchments 1. Where does the water come from
    • Pearce AJ, Stewart MK, Sklash MG. 1986. Storm runoff generation in humid headwater catchments 1. Where does the water come from. Water Resources Research 22: 1263-1272.
    • (1986) Water Resources Research , vol.22 , pp. 1263-1272
    • Pearce, A.J.1    Stewart, M.K.2    Sklash, M.G.3
  • 26
    • 77950177246 scopus 로고    scopus 로고
    • Understanding predictive uncertainty in hydrologic modeling: Le challenge of identifying input and structural errors
    • (Accepted)
    • Renard B, Kavetski D, Kuczera G, Thyer M, Franks SW. 2010. Understanding predictive uncertainty in hydrologic modeling: Le challenge of identifying input and structural errors. Water Resources Research (Accepted).
    • (2010) Water Resources Research
    • Renard, B.1    Kavetski, D.2    Kuczera, G.3    Thyer, M.4    Franks, S.W.5
  • 27
    • 0018553742 scopus 로고
    • Rainfall interception by a Beech-Podocarp-Hardwood forest near Reefton, North Westland, New Zealand
    • Rowe LK. 1979. Rainfall interception by a Beech-Podocarp-Hardwood forest near Reefton, North Westland, New Zealand. Journal of Hydrology New Zealand 18: 63-72.
    • (1979) Journal of Hydrology New Zealand , vol.18 , pp. 63-72
    • Rowe, L.K.1
  • 28
    • 69249138233 scopus 로고    scopus 로고
    • A new time-space accounting scheme to predict stream water residence time and hydrograph source components at the watershed scale
    • DOI: 10.1029/2008wr007549
    • Sayama T, McDonnell JJ. 2009. A new time-space accounting scheme to predict stream water residence time and hydrograph source components at the watershed scale. Water Resources Research 45: W07401. DOI: 10.1029/2008wr007549.
    • (2009) Water Resources Research , vol.45
    • Sayama, T.1    McDonnell, J.J.2
  • 29
    • 0036879790 scopus 로고    scopus 로고
    • On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration
    • DOI: 10.1029/2001WR000978
    • Seibert J, McDonnell JJ. 2002. On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration. Water Resources Research 38: DOI: 10.1029/2001WR000978.
    • (2002) Water Resources Research , vol.38
    • Seibert, J.1    McDonnell, J.J.2
  • 30
    • 0037442970 scopus 로고    scopus 로고
    • Simulating interactions between saturated and unsaturated storage in a conceptual runoff model
    • DOI: 10.1002/Hyp.1130
    • Seibert J, Rodhe A, Bishop K. 2003. Simulating interactions between saturated and unsaturated storage in a conceptual runoff model. Hydrological Processes 17: 379-390. DOI: 10.1002/Hyp.1130.
    • (2003) Hydrological Processes , vol.17 , pp. 379-390
    • Seibert, J.1    Rodhe, A.2    Bishop, K.3
  • 31
    • 33847617800 scopus 로고    scopus 로고
    • Improving model structure and reducing parameter uncertainty in conceptual water balance models through the use of auxiliary data
    • DOI: 10.1029/2006wr005032
    • Son K, Sivapalan M. 2007. Improving model structure and reducing parameter uncertainty in conceptual water balance models through the use of auxiliary data. Water Resources Research 43: W01415. DOI: 10.1029/2006wr005032.
    • (2007) Water Resources Research , vol.43
    • Son, K.1    Sivapalan, M.2
  • 32
    • 56349099880 scopus 로고    scopus 로고
    • Towards simple approaches for mean residence time estimation in ungauged basins using tracers and soil distributions
    • DOI: 10.1016/j.jhydrol.2008.10.001
    • Soulsby C, Tetzlaff D. 2008. Towards simple approaches for mean residence time estimation in ungauged basins using tracers and soil distributions. Journal of Hydrology 363: 60-74. DOI: 10.1016/j.jhydrol.2008.10.001.
    • (2008) Journal of Hydrology , vol.363 , pp. 60-74
    • Soulsby, C.1    Tetzlaff, D.2
  • 33
    • 69849096009 scopus 로고    scopus 로고
    • Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: a case study using Bayesian total error analysis
    • DOI: 10.1029/2008wr006825
    • Thyer M, Renard B, Kavetski D, Kuczera G, Franks SW, Srikanthan S. 2009. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: a case study using Bayesian total error analysis. Water Resources Research 45: W00b14. DOI: 10.1029/2008wr006825.
    • (2009) Water Resources Research , vol.45
    • Thyer, M.1    Renard, B.2    Kavetski, D.3    Kuczera, G.4    Franks, S.W.5    Srikanthan, S.6
  • 34
    • 33645739770 scopus 로고    scopus 로고
    • Threshold relations in subsurface stormflow: 1. A 147-storm analysis of the Panola hillslope
    • DOI: 10.1029/2004wr003778
    • Tromp-van Meerveld HJ, McDonnell JJ. 2006a. Threshold relations in subsurface stormflow: 1. A 147-storm analysis of the Panola hillslope. Water Resources Research 42: W02410. DOI: 10.1029/2004wr003778.
    • (2006) Water Resources Research , vol.42
    • Tromp-van Meerveld, H.J.1    McDonnell, J.J.2
  • 35
    • 33645748698 scopus 로고    scopus 로고
    • Threshold relations in subsurface stormflow: 2. The fill and spill hypothesis
    • DOI: 10.1029/2004wr003800
    • Tromp-van Meerveld HJ, McDonnell JJ. 2006b. Threshold relations in subsurface stormflow: 2. The fill and spill hypothesis. Water Resources Research 42: W02411. DOI: 10.1029/2004wr003800.
    • (2006) Water Resources Research , vol.42
    • Tromp-van Meerveld, H.J.1    McDonnell, J.J.2
  • 36
    • 0037083582 scopus 로고    scopus 로고
    • Process-oriented catchment modelling and multiple-response validation
    • Uhlenbrook S, Leibundgut C. 2002. Process-oriented catchment modelling and multiple-response validation. Hydrological Processes 16: 423-440.
    • (2002) Hydrological Processes , vol.16 , pp. 423-440
    • Uhlenbrook, S.1    Leibundgut, C.2
  • 37
    • 33645742987 scopus 로고    scopus 로고
    • A process-based rejectionist framework for evaluating catchment runoff model structure
    • DOI: 10.1029/2005WR004247
    • Vaché KB, McDonnell JJ. 2006a. A process-based rejectionist framework for evaluating catchment runoff model structure. Water Resources Research 42: W02409. DOI: 10.1029/2005WR004247.
    • (2006) Water Resources Research , vol.42
    • Vaché, K.B.1    McDonnell, J.J.2
  • 38
    • 33745797321 scopus 로고    scopus 로고
    • Process-based strategies for model structural improvement and reduction of model prediction uncertainty
    • Sivapalan M (ed). Wallingford, Oxon
    • Vaché KB, McDonnell JJ. 2006b. Process-based strategies for model structural improvement and reduction of model prediction uncertainty. In Predictions in Ungauged Basins: Promise and Progress, Sivapalan M (ed). Wallingford, Oxon; 30-37.
    • (2006) Predictions in Ungauged Basins: Promise and Progress , pp. 30-37
    • Vaché, K.B.1    McDonnell, J.J.2
  • 39
    • 0346605533 scopus 로고    scopus 로고
    • Estimation of baseflow residence times in watersheds from the runoff hydrograph recession: method and application in the Neversink watershed, Catskill Mountains, New York
    • DOI: 10.1002/Hyp.5027
    • Vitvar T, Burns DA, Lawrence GB, McDonnell JJ, Wolock DM. 2002. Estimation of baseflow residence times in watersheds from the runoff hydrograph recession: method and application in the Neversink watershed, Catskill Mountains, New York. Hydrological Processes 16: 1871-1877. DOI: 10.1002/Hyp.5027.
    • (2002) Hydrological Processes , vol.16 , pp. 1871-1877
    • Vitvar, T.1    Burns, D.A.2    Lawrence, G.B.3    McDonnell, J.J.4    Wolock, D.M.5
  • 40
    • 0031182367 scopus 로고    scopus 로고
    • Effects of basin size on lowflow stream chemistry and subsurface contact time in the Neversink River Watershed, New York
    • Wolock DM, Fan J, Lawrence GB. 1997. Effects of basin size on lowflow stream chemistry and subsurface contact time in the Neversink River Watershed, New York. Hydrological Processes 11: 1273-1286.
    • (1997) Hydrological Processes , vol.11 , pp. 1273-1286
    • Wolock, D.M.1    Fan, J.2    Lawrence, G.B.3
  • 41
    • 75749121878 scopus 로고    scopus 로고
    • Threshold behaviour in hydrological systems as (human) geo-ecosystems: manifestations, controls, implications
    • Zehe E, Sivapalan M. 2009. Threshold behaviour in hydrological systems as (human) geo-ecosystems: manifestations, controls, implications. Hydrology and Earth System Sciences 13: 1273-1297.
    • (2009) Hydrology and Earth System Sciences , vol.13 , pp. 1273-1297
    • Zehe, E.1    Sivapalan, M.2


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