Could electrical conductivity replace water level in rating curves for alpine streams?

Water Resources Research

Volumn 49, Issue 1, 2013, Pages 343-351

  Weijs, Steven V ^a   Mutzner, Raphaël ^a   Parlange, Marc B ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION COEFFICIENTS; ELECTRICAL CONDUCTIVITY; EROSION AND SEDIMENTATION; EXTRACTING INFORMATION; HYDROLOGICAL PROCESS; MOUNTAIN STREAMS; NATURAL BACKGROUNDS; ROOT-MEAN SQUARE ERRORS;

ELECTRIC CONDUCTIVITY; LANDFORMS; RATING; WATER LEVELS;

STREAM FLOW;

ALPINE ENVIRONMENT; ELECTRICAL CONDUCTIVITY; EROSION; GAUGE; HYDROLOGICAL REGIME; MOUNTAIN STREAM; RATING CURVE; SEDIMENTATION; STAGE-DISCHARGE RELATIONSHIP; STREAMFLOW; TIME SERIES; UNCERTAINTY ANALYSIS; WATER LEVEL; WATERSHED;

SWITZERLAND; VAL FERRET; VALAIS;

MUSTELA;

EID: 84876525446     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2012WR012181     Document Type: Article

References (41)

1. Anagnostou, E., W. Krajewski, and J. Smith (1999), Uncertainty quantification of mean-areal radar-rainfall estimates, J. Atmos. Oceanic Technol., 16(2), 206-215, doi:10.1175/1520-0426(1999)016〈0206:UQOMAR〉 2.0.CO;2.
2. Botter, G., F. Peratoner, M. Putti, A. Zuliani, R. Zonta, A. Rinaldo, and M. Marani (2008), Observation and modeling of catchment-scale solute transport in the hydrologic response: A tracer study, Water Resour. Res., 44, W05409, doi:10.1029/2007WR006611. (Pubitemid 351897323)
3. Botter, G., E. Milan, E. Bertuzzo, S. Zanardo, M. Marani, and A. Rinaldo (2009), Inferences from catchment-scale tracer circulation experiments, J. Hydrol., 369(3-4), 368-380, doi:10.1016/j.jhydrol.2009.02.012.
4. Brutsaert, W., and J. Nieber (1977), Regionalized drought flow hydrographs from a mature glaciated plateau, Water Resour. Res., 13(3), 637-643, doi:10.1029/WR013i003p00637.
5. Ciach, G., and W. Krajewski (1999), Radar-rain gauge comparisons under observational uncertainties, J. Appl. Meteorol., 38(10), 1519-1525, doi:10.1175/1520-0450(1999)038〈1519:RRGCUO〉2.0.CO;2.
6. Collins, D. (1979), Quantitative determination of the subglacial hydrology of two alpine glaciers, J. Glaciol, 23(89), 347-362.
7. Collins, D., and G. Young (1981), Meltwater hydrology and hydrochemistry in snow and ice-covered mountain catchments, Nord. Hydrol., 12(4-5), 319-34, doi: 10.2166/nh.1981.026. (Pubitemid 12261078)
8. Day, T. J. (1976), On the precision of salt dilution gauging, J. Hydrol., 31(3-4), 293-306, doi:10.1016/0022-1694(76)90130-X.
9. Di Baldassarre, G., and A. Montanari (2009), Uncertainty in river discharge observations: A quantitative analysis, Hydrol. Earth Syst. Sci, 13(6), 913-921, doi: 10.5194/hess-13-913-2009.
10. Duffy, C, and J. Cusumano (1998), A low-dimensional model for concentration-discharge dynamics in groundwater stream systems, Water Resour. Res., 34(9), 2235-2247, doi: 10.1029/98WR01705. (Pubitemid 28407893)
11. Duffy, C. J. (2010), Dynamical modelling of concentration-age-discharge in watersheds, Hydrol. Processes, 24(12), 1711-1718, doi:10.1002/hyp.7691.
12. Dzikowski, M., and S. Jobard (2011), Mixing law versus discharge and electrical conductivity relationships: Application to an alpine proglacial stream, Hydrol. Processes, 26(18), 2724-2732, doi: 10.1002/hyp.8366.
13. Evans, C, and T. Davies (1998), Causes of concentration/discharge hysteresis and its potential as a tool for analysis of episode hydrochemistry, Water Resour. Res., 34(1), 129-137, doi: 10.1029/97WR01881. (Pubitemid 28031195)
14. Gurnell, A., and C. Fenn (1985), Spatial and temporal variations in electrical conductivity in a pro-glacial stream system, J. Glaciol, 31(108), 108-114.
15. Kampf, S., and S. Burges (2007), A framework for classifying and comparing distributed hillslope and catchment hydrologic models, Water Resour. Res., 43, W05423, doi: 10.1029/2006WR005370. (Pubitemid 47007567)
16. Kampf, S., and S. Burges (2010), Quantifying the water balance in a planar hillslope plot: Effects of measurement errors on flow prediction, J. Hydrol., 380(1-2), 191-202, doi: 10.1016/j.jhydrol.2009.10.036.
17. Kavetski, D., G. Kuczera, and S. W. Franks (2006), Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resour. Res., 42, W03407, doi: 10.1029/2005WR004368.
18. Kennedy, E. (1984), Discharge ratings at gaging stations, U.S. Geol. Surv. Tech. of Water Resour. Invest., 10(3), 59 p.
19. Kite, G. (1993), Computerized streamflow measurement using slug injection, Hydrol. Processes, 7(2), 227-233, doi: 10.1002/hyp.3360070212. (Pubitemid 24392448)
20. Kuczera, G., B. Renard, M. Thyer, and D. Kavetski (2010), There are no hydrological monsters, just models and observations with large uncertainties !, Hydrol. Sci. J., 55(6), 980-991, doi: 10.1080/02626667.2010.504677.
21. Liebe, J., N. Van de Giesen, M. Andreini, M. Walter, and T. Steenhuis (2009), Determining watershed response in data poor environments with remotely sensed small reservoirs as runoff gauges, Water Resour. Res., 45, W07410, doi: 10.1029/2008WR007369.
22. Loheide, S., II, and J. Lundquist (2009), Snowmelt-induced diel fluxes through the hyporheic zone, Water Resour. Res., 45, W07404, doi: 10.1029/2008WR007329.
23. Lundquist, J., B. Huggett, H. Roop, and N. Low (2009), Use of spatially distributed stream stage recorders to augment rain gages by identifying locations of thunderstorm precipitation and distinguishing rain from snow, Water Resour. Res., 45, W00D25, doi: 10.1029/2008WR006995.
24. Moore, R. (2005), Slug injection using salt in solution, Streamline Watershed Manage. Bull, 8(2), 1-6.
25. Nicotina, L., E. Alessi Celegon, A. Rinaldo, and M. Marani (2008), On the impact of rainfall patterns on the hydrologic response, Water Resour. Res., 44, W12401, doi: 10.1029/2007WR006654.
26. Rinaldo, A., G. Botter, E. Bertuzzo, A. Uccelli, T. Settin, and M. Marani (2006), Transport at basin scales: 2. Applications, Hydrol. Earth Syst. Sci., 10(1), 31-48, doi:10.5194/hess-10-31-2006. (Pubitemid 43286040)
27. Salmon, C., M. Walter, L. Hedin, and M. Brown (2001), Hydrological controls on chemical export from an undisturbed old-growth Chilean forest, J. Hydrol., 253(1), 69-80, doi:10.1016/S0022-1694(01)00447-4. (Pubitemid 32996486)
28. Sauer, V. (2002), Standards for the analysis and processing of surface-water data and information using electronic methods, U.S. Geol. Surv. Water Resour. Invest. Rep., 014044, 91 pp.
29. Schoups, G., and J. A. Vrugt (2010), A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors, Water Resour. Res., 46, W10531, doi:10.1029/2009WR008933.
30. Simoni, S., S. Padoan, D. Nadeau, M. Diebold, A. Porporato, G. Barrenet-xea, F. Ingelrest, M. Vetterli, and M. Parlange (2011), Hydrologic response of an alpine watershed: Application of a meteorological wireless sensor network to understand streamflow generation, Water Resour. Res., 47, W10524, doi:10.1029/2011WR010730.
31. Singh, V. (2010), Derivation of rating curves using entropy theory, Trans. ASABE, 53(6), 1811-1821.
32. Sorooshian, S., and J. Dracup (1980), Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: Correlated and heterosce-dastic error cases, Water Resour. Res., 16(2), 430-442, doi:10.1029/WR016i002p00430.
33. Szilagyi, J., and M. Parlange (1999), A geomorphology-based semi-distributed watershed model, Adv. Water Resour., 23(2), 177-187, doi:10.1016/S0309-1708(99)00021-4. (Pubitemid 30037315)
34. Szilagyi, J., M. Parlange, and J. Albertson (1998), Recession flow analysis for aquifer parameter determination, Water Resour. Res., 34(7), 1851-1857, doi:10.1029/98WR01009. (Pubitemid 28301404)
35. Thyer, M., B. Renard, D. Kavetski, G. Kuczera, S. Franks, and S. Srikan-than (2009), Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis, Water Resour. Res., 45, W00B14, doi:10.1029/2008 WR006825.
36. Vrugt, J. A., C. G. H. Diks, H. V. Gupta, W. Bouten, and J. M. Verstraten (2005), Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation, Water Resour. Res., 41, W01017, doi:10.1029/2004WR003059. (Pubitemid 40359297)
37. Walter, M., B. Gao, and J. Y. Parlange (2007), Modeling soil solute release into runoff with infiltration, J. Hydrol., 347(3-4), 430-437, doi:10.1016/j.jhydrol.2007.09.033. (Pubitemid 350122531)
38. Weijs, S. V., and N. Van de Giesen (2011), Accounting for observational uncertainty in forecast verification: An information-theoretical view on forecasts, observations and truth, Mon. Weather Rev., 139(7), 2156-2162, doi:10.1175/2011MWR3573.1.
39. Weijs, S. V., G. Schoups, and N. van de Giesen (2010), Why hydro-logical predictions should be evaluated using information theory, Hydrol. Earth Syst. Sci., 14(12), 2545-2558, doi:10.5194/hess-14-2545-2010.
40. Westerberg, I., J. Guerrero, J. Seibert, K. Beven, and S. Halldin (2011), Stage-discharge uncertainty derived with a non-stationary rating curve in the Choluteca River, Honduras, Hydrol. Processes, 25(4), 603-613, doi:10.1002/hyp.7848.
41. World Meteorological Organization (WMO) (2010), Manual on stream gauging, Tech. Rep. 1044, Geneva, Switzerland.