Abstract
The objective of this review was to consolidate the latest hydrological models developed for application in hydrological studies. The paper briefly discusses various models available for simulation of specific processes in the hydrological cycle. The models presented in this paper are classified based on distributed, semi-distributed, stochastic and process based deterministic approach. These models are employed for research applications in sedimentation analysis, sub-surface modeling, hydraulic routing and hydrological prediction. The criteria used for the assessment of hydrological models are based on the simulation, governing equation and data availability of the model. The spatial and temporal scale of the models are selected for different components of the hydrological processes. These are the basic requirements that must be always addressed before selecting any model for future use.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbott MB, Bathurst JC, Cunge JA, O’Connell PE, Rasmussen J (1986) An introduction to the European hydrological system—systeme hydrologique Europeen, “SHE”, 1: history and philosophy of a physically-based, distributed modelling system. J Hydrol 87(1–2):45–59
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part i: model development. J Am Water Resour Assoc 34(1):73–89
Bergstroem S (1976 Jan) Development and application of a conceptual runoff model for Scandinavian catchment 153
Beven K (1984) Infiltration into a class of vertically non-uniform soils. Hydrol Sci J 29(4):425–434
Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrol Sci Bull 24(1):43–69
Beven KJ, Kirkby MJ, Schofield N, Tagg AF (1984) Testing a physically-based flood forcasting model (TOPMODEL) for three U. K. catchments. J Hydrol 69:119–143
Bingner RL, Theurer FD (2005) AnnAGNPS technical processes, 110 pp
Borah DK, Bera M, Shaw S (2003) Water, sediment, nutrient, and pesticide measurements in an agricultural watershed in Illinois during storm events. Trans ASAE 46(3):657–674
Butts MB, Payne JT, Kristensen M, Madsen H (2004) An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation. J Hydrol 298(1–4):242–266
Costanza R, Voinov A, Boumans R, Maxwell T, Villa F, Wainger L, Voinov H (2002) Integrated ecological economic modeling of the Patuxent River watershed, Maryland. Ecol Monogr 72(2):203–231
Davie T (2004) Review of different hydrological modelling frameworks for usage in the Motueka integrated catchment management programme of research, pp 1–22
De Smedt F, Liu Y, Gebremeskel S (2000) Hydrologic modeling on a catchment scale using GIS and remote sensed land use information. Risk analysis II, WIT Press, pp 295–304
Devi GK, Ganasri BP, Dwarakish GS (2015) A review on hydrological models. Int Conf Water Resour Coast Ocean Eng (ICWRCOE’15), 4(Icwrcoe), pp 1001–1007
Dhami BS, Pandey A (2013) Comparative review of recently developed hydrologic models. J Indian Water Resour Soc 33:34–42
DHI (2007) MIKE SHE user manual voume 1: user guide. Dan Hydraul Inst, Denmark (1), 420
Downer CW, Ogden FL (2004) GSSHA: model to simulate diverse stream flow producing processes. J Hydrol Eng 9(3):161–174
Gassman P, Williams J (2009) The agricultural policy environmental extender (APEX) model: an emerging tool for landscape and watershed environmental analyses. Cent Agric Rural Dev (49):109
Golmohammadi G, Prasher S, Madani A, Rudra R (2014) Evaluating three hydrological distributed watershed models: MIKE-SHE, APEX, SWAT. Hydrol 1(1):20–39
Hua L, He X, Yuan Y, Nan H (2012) Assessment of runoff and sediment yields using the AnnAGNPS model in a three-gorge watershed of China. Int J Environ Res Public Health 9(5):1887–1907
Islam Z (2011) A review on physically based hydrologic modeling 46 pp
Lindström G, Pers C, Rosberg J, Stromqvist J, Arheimer B (2010) Development and testing of the HYPE (hydrological predictions for the environment) water quality model for different spatial scales. Hydrol Res 41(3–4):295–319
Liu YB, Smedt F De (2009 Mar) WetSpa extension, a GIS-based hydrologic model for flood prediction and watershed management documentation and user manual. Manage:1–126
Luo C, Li Z, Li H, Chen X (2015) Evaluation of the annAGNPS model for predicting runoff and nutrient export in a typical small watershed in the hilly region of Taihu lake. Int J Environ Res Public Health 12(9):10955–10973
Markstrom SL, Niswonger RG, Regan RS, Prudic DE, Barlow PM (2008) GSFLOW—coupled ground-water and surface-water flow model based on the integration of the precipitation-runoff modeling system (PRMS) and the modular ground-water flow model (MODFLOW-2005). US Geol Surv Tech Methods 6-D1:240
Migliaccio KW, Srivastava P (2007) Hydrologic components of watershed-scale models. Am Soc Agric Biol Eng 50(5):1695–1703
Parajuli PB, Nelson NO, Frees LD, Mankin KR (2010) Comparison of AnnAGNPS and SWAT model simulation results in USDA-CEAP agricultural watersheds in south-central Kansas. Wiley Inter Sci 2274(15):2267–2274
Reggiani P, Rientjes THM (2005) Flux parameterization in the representative elementary watershed approach: application to a natural basin. Water Resour Res 41(4):1–18
Rwetabula J, Smedt FD, Rebhun M (2007) Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania ) using the WetSpa model. Hydrol Earth Sys Sci Discuss 4:881–908
Singh VP, Woolhiser DA (2002) Mathematical modeling of watershed hydrology. J Hydrol Eng 7(4):270–292
USACE-HEC (2010 Aug) Hydrologic modeling system HEC-HMS v3.5. User’s manual, US army crops of engineers. Hydrol Eng Cent, 318
Wang ZM, Batelaan O, De Smedt F (1997) A distributed model for water and energy transfer between soils, plants and atmosphere (WetSpa). Phys Chem Earth 21(3):189–193
Wigmosta M, Nijssen B, Storck P (2002) The distributed hydrology soil vegetation model. Math Models Small Watershed Hydrol Appl:7–42
World Meteorological Organization (1975) Intercomparison of conceptual models used in operational hydrological forecasting. Operational Hydrology Report No. 7, Geneva, Switzerland, 172 pp
World Meteorological Organization (1992) Simulated real-time intercomparison of hydrological models. Operational Hydrology Report No. 38, Geneva, Switzerland
Xu M, Han H, Kang S (2016 Oct). Modeling glacier mass balance and runoff in the Koxkar river basin on the south slope of the tianshan mts. During 1959 to 2009, China, 1–22
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Nesru, M., Nagaraj, M.K. (2022). Comparative Review on Model Selection for Hydrological Studies. In: Jha, R., Singh, V.P., Singh, V., Roy, L., Thendiyath, R. (eds) River and Coastal Engineering. Water Science and Technology Library, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-031-05057-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-031-05057-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05056-5
Online ISBN: 978-3-031-05057-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)