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Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region

Published in Hydrology (Volume 1, Issue 1)
Received: 15 May 2013    Accepted:     Published: 10 June 2013
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Abstract

Karst aquifers have complex groundwater flow patterns. In Hungary, Aggtelek is one of the best-studied karst regions. Research started in the early 1960’s to study the surface and subsurface hydrology of the region. Data collected included hydro-meteorological measurements, surface flow experiments and analyses, direct and indirect determination of karst infiltration, and water level measurements in karst wells. Between 1959 and 2000, daily measurements were conducted at the 15 largest karst springs. Creating a robust prediction model for this area has been elusive. This paper discusses the development, parameterization and calibration of the soil moisture accounting (SMA) method in the Hydrologic Modeling System (HMS) for one of the watersheds in this region. Parameters were studied with respect to sensitivity in generating baseline outflows for the watershed. The model was calibrated using a eight-year span of data and five different statistical measures to determine goodness-of-fit. Once calibrated, the model was used to predict baseline flow for other time periods and the results compared to measured data. The model produced reasonable results, but illustrated the need for more refined application of specific parameters.

Published in Hydrology (Volume 1, Issue 1)
DOI 10.11648/j.hyd.20130101.11
Page(s) 1-7
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Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

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Keywords

Hydrologic Models, Karst Region, Calibration

References
[1] MauchaL. "Azaggteleki-hegysegkarszthidrologiaikutatasieredmenyeieszavartalanhidrologiaiadatsorai 1959-1993" VizgazdalkodasiesKutatoReszvenytarsasagHidrologiaiIntezete, 1998.
[2] Taylor Ch. J., Green E. A. "Hydrogeologic Characterization and Methods Used in the Investigation of Karst Hydrology" Field Techniques for Estimating Water fluxes Between Surface Water and Ground Water Chapter 3, pp. 75-111, 2008.
[3] Kessler H. "Estimation of Subsurface Water resources in Karstic Regions" Toronto meeting IASH II pp. 199-206, 1957.
[4] Maucha L., Németh L. "A Csapadék-hatásmechanismusaazaggteleki-karsztividékenfakadóforrásoknapihozamánakkialakulásában" Karsztfejlődés XI.Szombathely, Hungary pp. 63-79, 2006.
[5] Fiorillo F., Revellino P., Ventafridda G. Karst aquifer draining during dry periods" Journal of Cave and Karst studies, v. 74, iss. 2 pp.:148-156, 2011.
[6] Liu L., Shu L., Chen X., Wang E., Oromo Th. "Rainfall-Driven Spring Hydrograph Modeling in a Karst Water System Southwastern China", Water Resour Manage, iss. 24, pg:2689-2701, 2010.
[7] Jukic D., Denic-Jukic V. "Groundwater balance estimation in karst by using a conceptual rainfall-runoff model" Journal of Hydrology, vol. 373 pp. 302-316, 2009.
[8] Zhang Y., Bai E. "Simulation of spring discharge from a limestone aquifer in northeastern Iowa with an identification scheme" Calibration and Reliability in Groundwater Modeling Proceeding of the ModelCARE 96 Conference held at Golden, Colorado, September 1996, IAHS Publ. vol. 237 pp. 31-40.
[9] Peterson E. W., Wicks C. M. "Assessing the importance of conduit geometry and physical parameters in karst system using the storm water management model (SWMM)", Journal of Hydrology, vol. 329, pp. 294-305, 2006.
[10] Eisenlohr L., Bouzelboudjen M., Kiraly L., Rossier Y. "Numerical versus statistical modeling of natural karst response of a karst hydrogeological system," Journal of Hydrology, vol. 202, pp. 244-262, 1997.
[11] Bailly-Comte V., BorrellEstupina V., Jourde H., Pistre S. "Surface flow modelling on karst watersheds- Case of the Coulazou River watershed within the Aumelas-Thau karst system, South of France –" IWRA XIIth World Water congress 1-4 September 2008, Montpellier, France.
[12] Fleming M., V. Neary "Continuous modeling study with the hydrologic modeling system" Journal of Hydrolgic Engineering, vol. 9, pp. 175-183, 2004.
[13] Cunderlik J. M., Simonovic S. P. "Assessment of water resources risk and vulnerability to changing climatic condition" Project report IV., August 2004, pp. 133.
[14] Izapy G., Maucha L. "AzAggteleki-hegységkarszthidrológiaivizsgálata a Jósvafőikutatóállamáson" A karsztvízkutatásMagyarországon-bükkikarsztvízkutatáslegújabberedményei conference. FelszinalattiVizekértalapítvány-VITUKI, Budapest, 2002.
[15] White, W.B., "Karst Hydrology: Recent Developments and Open Questions", Engineering Geology, vol. 65, pp. 85-105, 2002.
[16] Thornthwaite C. W., Mather J. R. The water balance, PublClimatol, Vol. 8, 1955, pp. 1-104.
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  • APA Style

    Robert Koch, Katalin Bene. (2013). Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region. Hydrology, 1(1), 1-7. https://doi.org/10.11648/j.hyd.20130101.11

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    ACS Style

    Robert Koch; Katalin Bene. Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region. Hydrology. 2013, 1(1), 1-7. doi: 10.11648/j.hyd.20130101.11

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    AMA Style

    Robert Koch, Katalin Bene. Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region. Hydrology. 2013;1(1):1-7. doi: 10.11648/j.hyd.20130101.11

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  • @article{10.11648/j.hyd.20130101.11,
      author = {Robert Koch and Katalin Bene},
      title = {Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region},
      journal = {Hydrology},
      volume = {1},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.hyd.20130101.11},
      url = {https://doi.org/10.11648/j.hyd.20130101.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20130101.11},
      abstract = {Karst aquifers have complex groundwater flow patterns. In Hungary, Aggtelek is one of the best-studied karst regions. Research started in the early 1960’s to study the surface and subsurface hydrology of the region. Data collected included hydro-meteorological measurements, surface flow experiments and analyses, direct and indirect determination of karst infiltration, and water level measurements in karst wells. Between 1959 and 2000, daily measurements were conducted at the 15 largest karst springs. Creating a robust prediction model for this area has been elusive. This paper discusses the development, parameterization and calibration of the soil moisture accounting (SMA) method in the Hydrologic Modeling System (HMS) for one of the watersheds in this region. Parameters were studied with respect to sensitivity in generating baseline outflows for the watershed. The model was calibrated using a eight-year span of data and five different statistical measures to determine goodness-of-fit. Once calibrated, the model was used to predict baseline flow for other time periods and the results compared to measured data. The model produced reasonable results, but illustrated the need for more refined application of specific parameters.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - Continuous Hydrologic Modeling with HMS in the Aggtelek Karst Region
    AU  - Robert Koch
    AU  - Katalin Bene
    Y1  - 2013/06/10
    PY  - 2013
    N1  - https://doi.org/10.11648/j.hyd.20130101.11
    DO  - 10.11648/j.hyd.20130101.11
    T2  - Hydrology
    JF  - Hydrology
    JO  - Hydrology
    SP  - 1
    EP  - 7
    PB  - Science Publishing Group
    SN  - 2330-7617
    UR  - https://doi.org/10.11648/j.hyd.20130101.11
    AB  - Karst aquifers have complex groundwater flow patterns. In Hungary, Aggtelek is one of the best-studied karst regions. Research started in the early 1960’s to study the surface and subsurface hydrology of the region. Data collected included hydro-meteorological measurements, surface flow experiments and analyses, direct and indirect determination of karst infiltration, and water level measurements in karst wells. Between 1959 and 2000, daily measurements were conducted at the 15 largest karst springs. Creating a robust prediction model for this area has been elusive. This paper discusses the development, parameterization and calibration of the soil moisture accounting (SMA) method in the Hydrologic Modeling System (HMS) for one of the watersheds in this region. Parameters were studied with respect to sensitivity in generating baseline outflows for the watershed. The model was calibrated using a eight-year span of data and five different statistical measures to determine goodness-of-fit. Once calibrated, the model was used to predict baseline flow for other time periods and the results compared to measured data. The model produced reasonable results, but illustrated the need for more refined application of specific parameters.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • Transportation and Infrastructure Dept., Széchenyi University, Gy?r, Hungary

  • Transportation and Infrastructure Dept., Széchenyi University, Gy?r, Hungary

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