An Overview of Hydrologic Modeling

  • Mrinmoy MajumderEmail author
  • Arnab Barua
  • Bebapriya Basu


Hydrologic models are developed for the purpose of imitating the actual relationship between the geo-climato-hydrological variables to estimate the future interactions of the same. Hydrologic models are mainly divided into temporal, spatial, and spatiotemporal hydrologic models based on the type of independent variable (time, space, or both). Further, the models can be divided into single or multievent and lumped or distributed. The hydrologic models are also classified with respect to the tools by which the interrelationship of variables are identified. In the present technical note, an overview of hydrologic models is discussed along with thorough descriptions of the different types of models and their applications in various hydrologic problems are also given.


Conceptual models hydrology Modeling overview 



The authors would like to state that the above article is only for education purpose. The concepts are well discussed in different literatures. Major part of the article can be found at “Modeling Hydrologic Change – Statistical Methods” written by Richard H. McCuen (2003). The authors will like to thank the publisher CRC Press for granting permission to reprint the portions included in this note.


  1. Abbott mb, Bathurst JC, Cunge JA, O’Connell PE, Rasmussen J (1986) An introduction to the European Hydrological System – Systeme Hydrologique Europeen, SHE. 2. Structure of a physically-based, distributed modeling system. J Hydrol 87:61–77CrossRefGoogle Scholar
  2. Bathurst JC, Wicks JM, O’Connell PE (1995) The SHE/SHFSED basin scale water flow and sediment transport modeling system. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highland Ranch, CO, pp 563–594Google Scholar
  3. Beven K (1989) Change ideas in hydrology-the case of physically based models. J Hydrol 105:157–172CrossRefGoogle Scholar
  4. Beven K (1996) A discussion of distributed hydrological modeling. In: Abbott MB, Refsgaard JC (eds) Distributed hydrological modelling. Kluwer, Dordrecht, pp 255–278Google Scholar
  5. Beven K (2002) Towards an alternative blueprint for a physically based digitally simulated hydrologic response modeling system. Hydrol Process 16:189–206CrossRefGoogle Scholar
  6. Beven K, Binley A (1992) The furure of distributed models: model calibration and uncertainty prediction. Hydrol Process 6:279–298CrossRefGoogle Scholar
  7. Bloschl G (1999) Scaling issues in snow hydrology. Hydrol Process 13:2149–2175CrossRefGoogle Scholar
  8. Bruijnzeel LA (1989) (De) forestation and dry season flow in the humid tropies a closer look. J Tropic Forest Sci 1:229–243Google Scholar
  9. Calder I (1999) The Blue revolution: land use and integrated water resources management. Earth Scan, London, 208 ppGoogle Scholar
  10. Calver A, Wood WL (1995) The Institute of hydrology distributed model. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highland Ranch, CO, pp 595–626Google Scholar
  11. Chappell AA, Franks SW, Larenus J (1998) Multiscale permeability estimation for a tropical catchment. Hydrol Process 12:1507–1523CrossRefGoogle Scholar
  12. Croton JT, Barry DA (2001) WEC-C: a distributed, deterministic catchment model theory. Formulation and testing. Environ Model Softw 16:583–599CrossRefGoogle Scholar
  13. Davis SH, Vertessy RA, Silberstein RP (1999) The sensitivity of a catchment model to soil hydraulic properties obtained by using different measurement techniques. Hydrol Process 13:677–688CrossRefGoogle Scholar
  14. Dunkerly DL, Brown KL (1995) Runoff and runon areas in a patterned chenopod shrubland, arid Western New South Wales, Australia: Characteristic and origin. J Arid Environ 20:41–55CrossRefGoogle Scholar
  15. Elsenbeer H, Vertesy RA (2000) Stromflow generation and flowpath characteristics in an Amazonian rainforest catchment. Hydrol Process 14:2367–2381CrossRefGoogle Scholar
  16. Ewen J, Parkin G (1996) Validation of catchment models for predicting land use and climate change impacts. 1 Method. J Hydrol 175:583–594CrossRefGoogle Scholar
  17. Free RA, Harlan RL (1969) Blueprint for a physically-based, digitally-simulated hydrologic response model. J Hydrol 9:237–258CrossRefGoogle Scholar
  18. Grayson RB, Moore LD, McMahon TA (1992) Physically based hydrological modeling, 1 Terrain based modeling for investigative purpose. Water Resour Res 28(10):2639–2658CrossRefGoogle Scholar
  19. Grayson RB, Bloschl G, Moore ID (1995) Distributed parameter hydrological modeling using vector elevation data: THALES and TAPES-C. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highland Ranch, CO, pp 669–696Google Scholar
  20. Klemes V (1997) Of carts and horse in hydrological modeling. J Hydrol Eng 1(4):43–49CrossRefGoogle Scholar
  21. Mulligan M (1996) Modeling the complexity of landscape response to climate variability in semi-arid environments. In: Anderson MG, Brooks SM (eds) Advances in hillslope processes. Wiley, Chichester, pp 1099–1149Google Scholar
  22. Mulligan M (2003) Modelling the hydrological response of tropical mountainous environments to land cover and land use change. In: Ulli M, Huber H, Bugmann KM, Reasoner MA (eds) global change and mountain regions: a state of knowledge overview. Kluwer, DordrechtGoogle Scholar
  23. Refsgaard JC, Storm B (1995) MIKE SHE. In: Singh VP (ed) Computer models watershed hydrology. Water Resources Publications, Highland Ranch, CO, pp 809–846Google Scholar
  24. Refsgard JC (1997) Parameterisation, calibration and validation of distributed hydrological models. J Hydrol 198:69–97CrossRefGoogle Scholar
  25. Reggiani P, Sivapalan M, Hassnizadeh SM (2000) Conservation equations governing hillslope responses: exploring the physical basis of water balance. Water Resour Res 36:1845–1863CrossRefGoogle Scholar
  26. Rosso R (1994) An introduction to spatially distributed modeling of basin response. In: Rosso R, Peano A, Bechi I, Bemporad GA (eds) Advances in distributed hydrology. Water Resources Publications, Highland Ranch, CO, pp 3–30Google Scholar
  27. Uchida T, Kosugi K, Mizuyama T (2001) Effects of pipeflow on hydrological process and its relation to landslide: a review of pipe-flow studies in forested headwater catchments. Hydrol Process 15:2151–2174CrossRefGoogle Scholar
  28. Veen AWL, Klaassen W, Kruijt B, Hutjes RWA (1996) Forest edges and the soil-vegetation-atmosphere interaction at the landscape scale: the state of affairs. Prog Phys Geogr 20:292–310CrossRefGoogle Scholar
  29. Vertessy RA, Hatton TJ, O’Shaughnessy PJ, Jayasriya MDA (1993) Predicting water yield from a mountain ash forest using a terrain analysis based catchment model. J Hydrol 150:665–700CrossRefGoogle Scholar
  30. Vorosmarty CJ, Fekete BM, Meybeck M, Lammers RB (2000) Geomorphomertric attributes of the global system of river at 30-minute spatial resolution. J Hydrol 237:17–39CrossRefGoogle Scholar
  31. Wainwright J, Mulligan M, Thornes JB (1999) Plants and water in drylands. In: Baird AJ, Wilby R (eds) Ecohydrology. Routledge, London, pp 78–126Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Mrinmoy Majumder
    • 1
    • 2
    Email author
  • Arnab Barua
    • 1
    • 3
  • Bebapriya Basu
    • 1
  1. 1.School of Water Resources EngineeringJadavpur UniversityKolkataIndia
  2. 2.Regional Center, National Afforestation and Eco-development BoardJadavpur UniversityKolkataIndia
  3. 3.Sylvan Polytechnic CollegeBardhamanIndia

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