On the inclusion of ground-based gravity measurements to the calibration process of a global rainfall-discharge reservoir model: Case of the Durzon karst system (Larzac, southern France)

Environmental Earth Sciences

Volumn 68, Issue 6, 2013, Pages 1631-1646

  Mazzilli, Naomi ^a   Jourde, Hervé ^a   Jacob, Thomas ^b   Guinot, Vincent ^a   Le Moigne, Nicolas ^e   Boucher, Marie ^c   Chalikakis, Konstantinos ^d   Guyard, Hélène ^c   Legtchenko, Anatoly ^c  

^a CNRS   (France)

^b BRGM   (France)

^c LABORATOIRE DE GLACIOLOGIE ET GÉOPHYSIQUE DE L ENVIRONNEMENT   (France)

^d UAPV   (France)

^e UNIVERSITÉ MONTPELLIER 2   (France)

Author keywords

Conceptual reservoir model; Epikarst; Ground based gravity monitoring; Karst aquifer; Model calibration; Soft data

Indexed keywords

AQUIFERS; DIGITAL STORAGE; GRAVITATION; LANDFORMS; RAIN; RESERVOIR MANAGEMENT; RESERVOIRS (WATER);

EPIKARST; GRAVITY MONITORING; KARST AQUIFER; MODEL CALIBRATION; RESERVOIR MODELING; SOFT DATA;

DISCHARGE (FLUID MECHANICS);

CALIBRATION; DATA ASSIMILATION; DISCHARGE; GRAVITY FIELD; GRAVITY SURVEY; GROUND-BASED MEASUREMENT; KARST HYDROLOGY; MONITORING; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; RESERVOIR;

FRANCE; LARZAC;

EID: 84874374926     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-012-1856-z     Document Type: Article

References (44)

1. Avias J (1995) Gestion active de l'exsurgence karstique de la source du Lez. Hydrogéologie 1: 113-127.
2. Bakalowicz M (2005) Karst groundwater: a challenge for new resources. Hydrol J 13(1): 148-160. doi: 10. 1007/s10040-004-0402-9.
3. Beven K (2006) A manifesto for the equifinality thesis. J Hydrol 320(1-2): 18-36. doi: 10. 1016/j. jhydrol. 2005. 07. 007.
4. Beven K, Binley A (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrol Process 6(3): 279-298. doi: 10. 1002/hyp. 3360060305.
5. Beven K, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J Hydrol 249(19): 11-29. doi: 10. 1016/S0022-1694(01)00421-8.
6. Boucher M, Guyard H, Chalikakis K, Legtchenko A (2010) Suivi des variations temporelles du stock d'eau dans la zone non saturée du bassin versant karstique du Durzon (Larzac, Hérault-Aveyron) par la méthode RMP. Synthèse des 3 premières campagnes de mesure (2009-2010). Tech. rep., ANR HydroGéodésie-2.
7. Bruxelles L (2001) Dé pots et altérites des plateaux du Larzac central: Causses de l'Hospitalet et de Campestre (Aveyron, Gard, Hérault). Évolution morphogénique, consequences géologiques et implications pour l'amenagement. PhD thesis, Université de Provence.
8. Bruxelles L, Caubel A (1996) Lacs temporaires et circulations de surface sur le causse de l'Hospitalet du Larzac en 1996: Fonctionnement et implications géomorphologiques. Bulletin de la Société Languedocienne de Géographie (3-4): 253-288. http://www. karstologie. com/lacs. html.
9. Contractor DN, Jenson JW (2000) Simulated effect of vadose infiltration on water levels in the Northern Guam Lens Aquifer. J Hydrol 229(3-4): 232-254. doi: 10. 1016/S0022-1694(00)00157-8.
10. Creutzfeldt B, Güntner A, Vorogushyn S, Merz B (2010) The benefits of gravimeter observations for modelling water storage changes at the field scale. Hydrol Earth Syst Sci 7(2): 2221-2260. http://www. hydrol-earth-syst-sci-discuss. net/7/2221/2010/.
11. Ebel BA, Loague K (2006) Physics-based hydrologic-response simulation: seeing through the fog of equifinality. Hydrol Process 20(13): 2887-2900. doi: 10. 1002/hyp. 6388.
12. El-Hakim M, Bakalowicz M (2007) Significance and origin of very large regulating power of some karst aquifers in the Middle East. Implication on karst aquifer classification. J Hydrol 333(2-4): 329-339. doi: 10. 1016/j. jhydrol. 2006. 09. 003.
13. Fleury P (2005) Sources sous-marines et aquifères karstiques c?tiers méditerranéens. Fonctionnement et caractérisation. PhD thesis, Université Paris VI, Pierre et Marie Curie. http://hydrologie. org/THE/FLEURY. pdf.
14. Guinot V, Cappelaere B, Delenne C, Ruelland D (2011) Objective functions for conceptual hydrological model calibration: theoretical analysis of distance- and weak form-based functions. J Hydrol 401(1-2): 1-13. doi: 10. 1016/j. jhydrol. 2011. 02. 004.
15. Hernandez-Santana V, Martinez-Fernandez J, Moran C, Cano A (2008) Response of Quercus pyrenaica (melojo oak) to soil water deficit: a case study in Spain. Eur J Forest Res 127(5): 369-378. doi: 10. 1007/s10342-008-0214-x.
16. Jacob T (2009) Apport de la gravimétrie et de l'inclinométrie? l'hydrologie karstique. PhD thesis, Université Montpellier II. http://tel. archives-ouvertes. fr/tel-00404851/fr/.
17. Jacob T, Bayer R, Chery J, Jourde H, Le Moigne N, Boy JP, Hinderer J, Luck B, Brunet P (2008) Absolute gravity monitoring of water storage variation in a karst aquifer on the Larzac plateau (Southern France). J Hydrol 359: 105-117. doi: 10. 1016/j. jhydrol. 2008. 06. 020.
18. Jacob T, Chery J, Bayer R, Le Moigne N, Boy JP, Vernant P, Boudin F (2009) Time-lapse surface to depth gravity measurements on a karst system reveal the dominant role of the epikarst as a water storage entity. Geophys J Int 177(2): 347-360. doi: 10. 1111/j. 1365-246X. 2009. 04118. x.
19. Jacob T, Bayer R, Chery J, Le Moigne N (2010a) Time-lapse microgravity surveys reveal water storage heterogeneity of a karst aquifer. J Geophys Res 115(B6): B06, 402. doi: 10. 1029/2009JB006616.
20. Jacob T, Chéry J, Boudin F, Bayer R (2010b) Monitoring deformation from hydrologic processes in a karst aquifer using long-baseline tiltmeters. Water Resour Res 46(9): W09, 542. doi: 10. 1029/2009WR008082.
21. Jourde H, Roesch A, Guinot V, Bailly-Comte V (2007) Dynamics and contribution of karst groundwater to surface flow during mediterranean flood. Environ Geol 51: 725-730. doi: 10. 1007/s00254-006-0386-y.
22. Kuczera G, Mroczkowski M (1998) Assessment of hydrologic parameter uncertainty and the worth of multiresponse data. Water Resour Res 34(6): 1481-1489. doi: 10. 1029/98WR00496.
23. Lastennet R, Mudry J (1997) Role of karstification and rainfall in the behavior of a heterogeneous karst system. Environ Geol 32(2): 114-123. doi: 10. 1007/s002540050200.
24. Legchenko A, Valla P (2002) A review of the basic principles for proton magnetic resonance sounding measurements. J Appl Geophys 50(1-2): 3-19. doi: 10. 1016/S0926-9851(02)00127-1.
25. Maillet E (1906) La vidange des systèmes de réservoirs. Annales Ponts et Chaussées, Mém et Doc 21.
26. Mazzilli N, Guinot V, Jourde H (2012) Sensitivity analysis of conceptual model calibration to initialisation bias. Application to karst spring discharge models. Adv Water Resour. doi: 10. 1016/j. advwatres. 2012. 03. 020.
27. Nash J, Sutcliffe J (1970) River flow forecasting through conceptual models. Part I-a discussion of principles. J Hydrol 10(3): 282-290. doi: 10. 1016/0022-1694(70)90255-6.
28. Otieno DO, Schmidt MWT, Kurz-Besson C, Do Vale RL, Pereira JS, Tenhunen JD (2007) Regulation of transpirational water loss in Quercus suber trees in a Mediterranean-type ecosystem. Tree Physiol 27(8): 1179-1187. doi: 10. 1093/treephys/27. 8. 1179.
29. Oudin L, Michel C, Anctil F (2005) Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 1-can rainfall-runoff models effectively handle detailed potential evapotranspiration inputs?. J Hydrol 303(1-4): 275-289. doi: 10. 1016/j. jhydrol. 2004. 08. 025.
30. Oudin L, Perrin C, Mathevet T, Andreassian V, Michel C (2006) Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models. J Hydrol 320(1-2): 62-83. doi: 10. 1016/j. jhydrol. 2005. 07. 016.
31. Perrin C, Michel C, Andreassian V (2001) Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. J Hydrol 242(3-4): 275-301. doi: 10. 1016/S0022-1694(00)00393-0.
32. Perrin J, Jeannin PY, Zwahlen F (2003) Implications of the spatial variability of infiltration-water chemistry for the investigation of a karst aquifer: A field study at Milandre test site, Swiss Jura. Hydrol J 11(6): 673-686. doi: 10. 1007/s10040-003-0281-5.
33. Pool DR, Eychaner JH (1995) Measurements of aquifer-storage change and specific yield using gravity surveys. Ground Water 33(3): 425-432. doi: 10. 1111/j. 1745-6584. 1995. tb00299. x.
34. Ricard J, Bakalowicz M (1996) Connaissance, aménagement et protection des ressources en eau du Larzac septentrional, Aveyron (France) Tech. Rep. R38953, BRGM. http://www. brgm. fr/Rapport?code=RR-38953-FR.
35. Seibert J, McDonnell JJ (2002) On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration. Water Resour Res 38(11): 1241. doi: 10. 1029/2001WR000978.
36. Siegel S (1956) Nonparametric statistics for the behavioral sciences. McGraw-Hill, New York.
37. Strassberg G, Scanlon BR, Chambers D (2009) Evaluation of groundwater storage monitoring with the GRACE satellite: case study of the high plains aquifer, central United States. Water Resour Res 45: W05, 410. doi: 10. 1029/2008WR006892.
38. Thornthwaite C (1948) An approach toward a rational classification of climate. Geogr Rev 38(1): 55-94. http://www. jstor. org/stable/210739.
39. Tritz S, Guinot V, Jourde H (2011) Modelling the behaviour of a karst system catchment using non linear hysteretic conceptual model. J Hydrol 397(3-4): 250-262. doi: 10. 1016/j. jhydrol. 2010. 12. 001.
40. Vache KB, McDonnell JJ (2006) Process-based strategies for model structural improvement and reduction of model prediction uncertainty. In: Predictions in ungauged basins: promise and progress. Proceedings of symposium S7 held during the 7th IAHS Scientific Assembly at Foz do Igua?u, Brazil (April 3-9, 2005), IAHS, vol 303, pp 30-37. http://iahs. info/redbooks/a303/303004. htm.
41. Viterbo P, Beljaars ACM (1995) An improved land surface parameterization scheme in the ECMWF model and its validation. J Clim 8: 2716-2748 doi: 10. 1175/1520-0442(1995)008& 2716: AILSPS> 2. 0. CO; 2.
42. Vrugt JA, Braak CJFt, Clark MP, Hyman JM, Robinson BA (2008) Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation. Water Resour Res 44: W00B09. doi: 10. 1029/2007WR006720.
43. Wagener T, Gupta H (2005) Model identification for hydrological forecasting under uncertainty. Stoch Env Res Risk Assess 19(6): 378-387. doi: 10. 1007/s00477-005-0006-5.
44. Werth S, Güntner A, Petrovic S, Schmidt R (2009) Integration of GRACE mass variations into a global hydrological model. Earth Planet Sci Lett 277(1-2): 166-173. doi: 10. 1016/j. epsl. 2008. 10. 021.