Skip to main content

An Overview of Hydrologic Modeling

  • Chapter
  • First Online:
  • 1504 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • 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 87:61–77

    Article  Google Scholar 

  • 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 563–594

    Google Scholar 

  • Beven K (1989) Change ideas in hydrology-the case of physically based models. J Hydrol 105:157–172

    Article  Google Scholar 

  • Beven K (1996) A discussion of distributed hydrological modeling. In: Abbott MB, Refsgaard JC (eds) Distributed hydrological modelling. Kluwer, Dordrecht, pp 255–278

    Google Scholar 

  • Beven K (2002) Towards an alternative blueprint for a physically based digitally simulated hydrologic response modeling system. Hydrol Process 16:189–206

    Article  Google Scholar 

  • Beven K, Binley A (1992) The furure of distributed models: model calibration and uncertainty prediction. Hydrol Process 6:279–298

    Article  Google Scholar 

  • Bloschl G (1999) Scaling issues in snow hydrology. Hydrol Process 13:2149–2175

    Article  Google Scholar 

  • Bruijnzeel LA (1989) (De) forestation and dry season flow in the humid tropies a closer look. J Tropic Forest Sci 1:229–243

    Google Scholar 

  • Calder I (1999) The Blue revolution: land use and integrated water resources management. Earth Scan, London, 208 pp

    Google Scholar 

  • 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 595–626

    Google Scholar 

  • Chappell AA, Franks SW, Larenus J (1998) Multiscale permeability estimation for a tropical catchment. Hydrol Process 12:1507–1523

    Article  Google Scholar 

  • Croton JT, Barry DA (2001) WEC-C: a distributed, deterministic catchment model theory. Formulation and testing. Environ Model Softw 16:583–599

    Article  Google Scholar 

  • 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 13:677–688

    Article  Google Scholar 

  • 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 20:41–55

    Article  Google Scholar 

  • Elsenbeer H, Vertesy RA (2000) Stromflow generation and flowpath characteristics in an Amazonian rainforest catchment. Hydrol Process 14:2367–2381

    Article  Google Scholar 

  • Ewen J, Parkin G (1996) Validation of catchment models for predicting land use and climate change impacts. 1 Method. J Hydrol 175:583–594

    Article  Google Scholar 

  • Free RA, Harlan RL (1969) Blueprint for a physically-based, digitally-simulated hydrologic response model. J Hydrol 9:237–258

    Article  Google Scholar 

  • Grayson RB, Moore LD, McMahon TA (1992) Physically based hydrological modeling, 1 Terrain based modeling for investigative purpose. Water Resour Res 28(10):2639–2658

    Article  Google Scholar 

  • 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 669–696

    Google Scholar 

  • Klemes V (1997) Of carts and horse in hydrological modeling. J Hydrol Eng 1(4):43–49

    Article  Google Scholar 

  • 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 1099–1149

    Google Scholar 

  • 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, Dordrecht

    Google Scholar 

  • Refsgaard JC, Storm B (1995) MIKE SHE. In: Singh VP (ed) Computer models watershed hydrology. Water Resources Publications, Highland Ranch, CO, pp 809–846

    Google Scholar 

  • Refsgard JC (1997) Parameterisation, calibration and validation of distributed hydrological models. J Hydrol 198:69–97

    Article  Google Scholar 

  • Reggiani P, Sivapalan M, Hassnizadeh SM (2000) Conservation equations governing hillslope responses: exploring the physical basis of water balance. Water Resour Res 36:1845–1863

    Article  Google Scholar 

  • 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 3–30

    Google Scholar 

  • 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 15:2151–2174

    Article  Google Scholar 

  • 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 20:292–310

    Article  Google Scholar 

  • 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 150:665–700

    Article  Google Scholar 

  • Vorosmarty CJ, Fekete BM, Meybeck M, Lammers RB (2000) Geomorphomertric attributes of the global system of river at 30-minute spatial resolution. J Hydrol 237:17–39

    Article  Google Scholar 

  • Wainwright J, Mulligan M, Thornes JB (1999) Plants and water in drylands. In: Baird AJ, Wilby R (eds) Ecohydrology. Routledge, London, pp 78–126

    Google Scholar 

Download references

Acknowledgement

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mrinmoy Majumder .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Majumder, M., Barua, A., Basu, B. (2010). An Overview of Hydrologic Modeling. In: Jana, B., Majumder, M. (eds) Impact of Climate Change on Natural Resource Management. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3581-3_21

Download citation

Publish with us

Policies and ethics