A Review on Hydrological Modelling Concepts: Part 1 - Introduction of Modelling Process

فصلنامه آب و توسعه پایدار

Article 11, Volume 4, Issue 2 - Serial Number 9, March 2018, Pages 95-102   

Document Type: review paper

DOI: 10.22067/jwsd.v4i2.62154

Authors

mojtaba shafiei^{* 1}; Shervan Gharari²

¹East Water and Environment Research Institute (EWERI)

²Global Institute for Water Security

Abstract

The processes and components of hydrological cycle are very complicated in nature, with significant spatial and temporal variation. This is due to high non-linear and complex relations between hydrological components, economical limitations for accurate measurements, and requiring a variety of data and information. The main solution for understanding and predicting hydrological processes at watersheds scale is using/developing simulation models based on desired goals. However, due to the lack of attentions to the concepts and practical knowledge, development of hydrological models has attracted less attention. By neglecting the modelling process in hydrological modelling, and starting this process directly by choosing a procedural model and its calibration would provide unreliable results. Therefore, it is essential to have a comprehensive and accurate inspection of the modelling process and its application as a useful tool for understanding and analyzing hydrological systems. This paper aims at providing concepts of hydrological modelling and introducing five-steps modelling process for watersheds, and finally presenting information about the various types of hydrological models.

Keywords

Perceptual model; Conceptual model; Verification; Calibration; Validation

References

شفیعی، م.، قهرمان، ب.، انصاری، ح. و شریفی م. ب. 1390. شبیه ‏سازی تصادفی شدت خشکسالی براساس شاخص پالمر. مجله مدیریت آب و آبیاری، 12(2): 1-13.

شفیعی، م.، انصاری، ح.، داوری، ک. و ب، قهرمان. 1392. واسنجی و تحلیل عدم‏ قطعیت یک مدل نیمه ‏توزیعی در یک منطقه نیمه‏ خشک. مجله علوم و فنون کشاورزی و منابع طبیعی، آب و خاک، 17(64): 137-148.

شفیعی، م.، قهرمان، ب.، ثقفیان، ب.، داوری، ک. و وظیفه ‏دوست، م. 1393. واسنجی و تحلیل عدم قطعیت مدل SWAP توسط روش GLUE. مجله پژوهش آب در کشاورزی، 28(2): 477-488.

Abbott M.B., Bathurst J.C., Cunge J.A., O’Connell P.E. and Rasmussen J. 1986. An Introduction to the European Hydrological System–Système Hydrologique Europeen, “SHE”, 2: Structure of a physically based, distributed modelling system. Journal of Hydrology, 87(1): 61-77.

Abbaspour K.C., van Genuchten M.T., Schulin R. and Schläppi E. 1997. A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters. Water Resour, Res. 33: 1879–1892.

Arnold J.G., Srinivasan R.S., Muttiah R, and Williams J.R.. 1998. Large area hydrologic modeling and assessment part I: model development. J. Amer. Water Resour. Assoc., 341: 73-89.

Bergström S. 1976. Development and application of a conceptual runoff model for Scandinavian

catchments, SMHI, Report No. RHO 7, Norrköping, 134 pp.

Beven K.J. 2012. Rainfall-runoff modelling: the primer. Wiley Chichester. 457 pp.

Beven K.J. and Binley A.M. 1992. The future of distributed models: Model calibration and uncertainty prediction. Hydrological Processes, 6: 279–298.

Chow V. 1964. Handbook of applied hydrology. McGraw-Hill, New York, NY, USA.

Fenicia F., Kavetski D. and Savenije H.H.G. 2011. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development. Water Resour. Res., 47, W11510, doi: 10.1029/2010WR010174.

Gharari S., Hrachowitz M., Fenicia F. and Savenije H.H.G. 2013. An approach to identify time consistent model parameters: sub-period calibration. Hydrology and Earth System Sciences, 17(1): 149–161.

Gharari S., Shafiei M., Hrachowitz M., Kumar R., Fenicia F., Gupta H.V. and Savenije H.H.G. 2014a. A constraint-based search algorithm for parameter identification of environmental models. Hydrology and Earth System Sciences, 18 (12): 4861–4870.

Gharari S., Hrachowitz M., Fenicia F., Gao H. and Savenije H.H.G. 2014b. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration. Hydrology and Earth System Sciences, 18(12): 4839–4859.

Izady A., Davary K., Alizadeh A., Ziaei A.N., Alipoor A., Joodavi A. and Brusseau M.L. 2014. A framework toward developing a groundwater conceptual model. Arabian Journal of Geosciences, 7(9): 3611-3631.

Price R.K. 2002. Hydroinformatics: Advanced study course on river basin modelling for flood risk mitigation, The University of Birmingham, UK, pp. 5.1-5.19.

Refsgaard J.C. and Storm B. (eds.), 1996. Distributed hydrological modelling. Kluwer Academic Publishers, Dordrecht, The Netherlands.

Refsgaard J.C. and Knudsen J. 1996. Operational validation and intercomparison of different types of hydrological models. Water Resource Research, 32(7): 2189–2202.

Refsgaard J.C., Henriksen H.J., Harrar W.G., Scholten H. and Kassahun A. 2005. Quality assurance in model based water management - review of existing practice and outline of new approaches. Environmental Modelling & Software 20(10), 1201–1215.

Savenije H.H.G. 2009. Hess opinions “the art of hydrology”. Hydrology and Earth System Sciences, 13: 157–161.

Todini E. 1996. The ARNO rainfall—runoff model. Journal of hydrology, 175(1-4): 339-382.