International Journal of Environment and Geoinformatics

SUBMITINFORMATION
EnglishTürkçe

Review Article


DOI :10.30897/ijegeo.1514176   IUP :10.30897/ijegeo.1514176    Full Text (PDF)

Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling

Oluwatobi Olaleye Solomon, Olayiwola Akin Akintola, Rafiu Jimoh, Oluwakemi Anthonia Gbadebo, Oluwaseun Temitope Faloye

Water is considered as an important resource for human existence on the earth. In order to simulate or optimized hydrological data for various water resources management, several hydrological models are very useful to attain this aim for water resources management and as a decision support tools. A rainfall-runoff model is a quantitative prototype explaining the rainfall-runoff interactions at basin scale. The hydrological models have peculiarities in terms of capabilities for various water resources management. This paper reviews over fifty (50) papers that are peculiar to hydrological models as applicable to rainfall-runoff modeling. It involved evaluating and comparing different hydrological models used in simulating rainfall process converting into surface runoff for water use efficiency. Several runoff models such as Hydrologic Engineering Center - Hydrologic Modeling System (HEC-HMS), Soil and Water Assessment Tool (SWAT), Precipitation-Runoff Modeling System (PRMS), Variable Infiltration Capacity model (VIC), LISt-based Erosion Model (LISEM), MIKE Surface Water - Groundwater Hydrology (MIKE SHE) and Runoff Prophet were critically assessed. Rainfall-runoff models are globally utilized for different applications to enhance water use efficiency across different sectors. However, types of hydrological models by examining various hydrological models, model accuracy by evaluating the accuracy and reliability of each model in predicting runoff from rainfall data, scope of applications by determining the adequacy of the models for numerous geographical regions and climatic circumstances, complexity and usability by assessing the complexity of the models, their data requirements, ease of use and computational efficiency, also the models advantages and limitations in capturing the dynamics of the rainfall-runoff process were critically assessed. This was to aid modeling objectives. It was inferred that HEC-HMS is widely applied for modelling precipitation-runoff processes in watersheds of various sizes, aiding in flood forecasting, reservoir operation, and water management for agricultural and urban water use efficiency. SWAT is used for assessing the impact of land management practices (e.g., crop rotation, irrigation, land use changes) on water resources, including runoff generation and water quality, thus optimizing water use efficiency in agriculture. PRMS is applied to model the transport of water via complex hydrological systems, aiding in watershed management and water use efficiency assessments. In conclusion, this comparative review seeks to guide water scientists, the users of hydrological models and hydrological engineers in selecting the most suitable models for their specific modelling needs for sustainable water resources management.

Keywords: Hydrological models, Rainfall-Runoff simulation, Sustainable water resources management, Earth

PDF View

References

  • Abbott, M.B. Refsgaard, J.C (1996). Deterministic models. Distributed Hydrological Modelling, Kluwer Academic Publishers: Dordrecht, pp. 27-30. google scholar
  • Abbott, M.B., J.C. Bathurst, J.A. Cunge, P.E. O’Connel, J. Rasmussen, 1986a. An Introduction to the European Hydrological Systems-Systeme Hydrologique Europeen, ‘SHE’. 1. History and Philosophy of a Physically Based Distributed Modelling System. Journal of Hydrology 87:45-59. google scholar
  • Abbott, M.B., J.C. Bathurst, J.A. Cunge, P.E. O’Connel, J. Rasmussen, 1986b. An Introduction to the European Hydrological Systems-Systeme Hydrologique Europeen, ‘SHE’. 2. Structure of a Physically Based Distributed Modelling System. Journal of Hydrology 87:61-77. google scholar
  • Anshuka, A.; van Ogtrop, F.F.; Willem Vervoort, R (2019). Drought forecasting through statistical models using standardized precipitation index: A systematic review and meta-regression analysis. Nat. Hazards, 97, 955-977. google scholar
  • Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., Van Griensven, A., Van Liew, M. W., Kannan, N., Jha, M. K. (2012): SWAT: Model Use, Calibration, and Validation, T. ASABE, 55, 1491-1508, doi.org/10.13031/2013.42256, 2012. google scholar
  • Arnold, J. G., Srinivasan, R., Muttiah, R. S., Williams, J. R. (1998): Large Area Hydrologic Modeling and Assessment Part I: Model Development, J. Am. Water Resour. As., 34, 73-89, doi.org/10.1111/j.1752-1688. 1998.tb05961.x, 1998. google scholar
  • Axel Bronstert (2004). Rainfall-runoff modelling for assessing impacts of climate and land-use change. Hydrological Processes. Hydrol. Process. 18, 567570. Wiley InterScience (www.interscience.wiley.com). DOİ.10.1002/hyp.5500 google scholar
  • Ayushi T, Pyasi S. K Galkate R.V (2018). A review on modelling of rainfall - runoff process. The Pharma Innovation Journal; 7(4): 1161-1164. www.thepharmajournal.com google scholar
  • Batie, S. S. (2013). Land use changes and water resources in the US: A review. The American Economic Review, 86(2), 54-63. google scholar
  • Beven, K. J (2012). Rainfall Runoff Modelling: The primer, John Wiley & Sons: Hoboken, NJ, USA. google scholar
  • Beven, K., Freer, J. (2018). Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. Journal of Hydrology, 249(1-4), 11-29 google scholar
  • Beven, K.J (2011). Rainfall-Runoff Modelling: The Primer; John Wiley & Sons: Hoboken, NJ, USA. google scholar
  • Carpenter, T.M., Georgakakos, K.P., Sperfslage, J.A (2001). On the parametric and nexrad-radar sensitivities of a distributed hydrologic model suitable for operational use. Journal of Hydrology 253, 169193 google scholar
  • Chang, T.J., Wang, C.H., Chen, A. S (2015). A Novel Approach to Model Dynamics Flow Interactions between Storm Sewer System and Overland Surface for Different Land Covers in Urban Areas. Journal Of Hydrology, 52(4): 662-679. google scholar
  • Choudhari K, Panigrahi B, Paul J.C (2014). Simulation of rainfall-runoff process using HEC-HMS model for Balijore. Hydrological Processes.8 (2):19-24. google scholar
  • Chow, V. T, Maidment, D. R Mays W (1988). Applied Hydrology, McGraw-Hill. google scholar
  • Civita, M.V., M.D. Maio and A. Fiorucci, 2009. The groundwater resources of the morainic amphitheatre: A case study in piedmont. Am. J. Environ. Sci., 5: 578587. DOİ. 10.3844/ajessp.2009.578.587 google scholar
  • Devi, G.K.; Ganasri, B.P.; Dwarakish, G.S (2015). A review on hydrological models. Aquat. Procedia, 4, 1001-1007 google scholar
  • ESRI (2015). ArcGIS Release 10.3.1 Redlands, CA: Environmental Systems Research Institute google scholar
  • Evgenia Koltsida, Nikos Mamassis, Andreas Kallioras (2023), Hydrological modeling using the Soil and Water Assessment Tool in urban and peri-urban environments: the case of Kifisos experimental sub-basin (Athens, Greece). Hydrol. Earth Syst. Sci., 27, 917-931, doi.org/10.5194/hess-27-917-2023 google scholar
  • Fei Teng , Wenrui Huang, Yi Cai , Chunmiao Zheng Songbing Zou (2017). Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Sub-basin of the Heihe River Basin. Water,MDPI, 9, 769 google scholar
  • Gao, H., Tang, Q., Shi, X., Zhu, C., Bohn,T. J., Su,F., Sheffield, J, Pan ,M., Lettenmaier,D.P., Wood,E.F. (2010). Water Budget Record from Variable Infiltration Capacity (VIC) Model. In Algorithm Theoretical Basis Document for Terrestrial Water Cycle Data Records (in review). Kristensen, K.J. and Jensen, S.E., 1975. A model of estimating actual evapotranspiration from potential evapotranspiration. Nordic Hydrology. 6, 170-188 google scholar
  • Gayathri, K.D, Ganasri, B P, Dwarakish, G .S (2015). A Review on Hydrological Models. Elsevier. Peer-review under responsibility of organizing committee of ICWRCOE, doi. 10.1016/j.aqpro.2015.02.126 google scholar
  • Gosain, A.K., Mani, A., Dwivedi, C (2009). Hydrological modelling literature review: Report No.1. Indo-Norwegian Institutional Cooperation Program. google scholar
  • Hosseini. M., Amin .M.S, Ghafouri A.M Tabatabaei M.R (2011). Application of Soil and Water Assessment tools model for Runoff Estimation. American Journal of Applied Sciences 8 (5): 486-494, ISSN 1546-9239 google scholar
  • Hrachowitz, M., Schymanski, S. J., Blöschl, G. (2020). How can we learn more from data? A review of data-driven hydrological modelling. Wiley Interdisciplinary Reviews: Water, 7(3), e1417. google scholar
  • Hydrological Modelling System HEC-HMS (2000). Technical Reference Manual. US Army Corps of Engineers, Hydrologic Engineering Center, St. Davis, California google scholar
  • Imene D.S, Lahbaci O (2016). Hydrological modelling of wadi Ressoul watershed, Algeria, by HEC-HMS model. Journal of Water and Land Development. No. 31 (X-XII): 139-147. google scholar
  • Jan Sitterson, Chris Knightes, Rajbir Parmar, Kurt Wolfe, Muluken Muche, Brian Avant (2017), An Overview of Rainfall-Runoff Model Types. United State of America Environmental Protection Agency (EPA) google scholar
  • Kisi, O.; Shiri, J.; Tombul, M (2013). Modeling rainfall-runoff process using soft computing techniques. Comput. GEOSCI. , 51, 108-117. google scholar
  • Kokkonen, T., Koivusalo, H., Karvonen, T. (2001). A semi-distributed approach to rainfallrunoff modelling—a case study in a snow affected catchment. Environmental Modelling & Software, 16(5), 481-493. doi. http://dx.doi.org/10.1016/S1364-8152(01)00028-7 google scholar
  • Kumar R. Research Methodology: A Step-by-Step Guide for Beginners. (3). Sage, New Delhi, 2011 google scholar
  • Li, Z.; Deng, X.; Wu, F.; Hasan, S (2015). Scenario Analysis for Water Resources in Response to Land Use Change in the Middle and Upper Reaches of the Heihe River Basin. Sustainability, 7, 3086-3108. google scholar
  • Liu, J., Liu, T., Huang, Y (2017) Simulation and analysis of the hydrological processes in the Yarkant River Basin based on remote sensing data. Progress in Geography, 36:753-761 google scholar
  • Lu, D.B., Shi, Z.T., Li, Y.H. (2014) Hydrological Modeling for Karst Area in Bajiang River Basin. Journal of China Hydroligy, 34 : 52-57 google scholar
  • Maidment, D.R (1993). Hand Book of Hydrology, McGraw-Hill google scholar
  • Markstrom, S.L., Niswonger, R.G., Regan, R.S., Prudic, D.E., and Barlow, P.M. (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): U.S. Geological Survey Techniques and Methods 6-D1, 240 p. google scholar
  • Markstrom, S.L.; Regan, R.S.; Hay, L.E.; Viger, R.J.; Webb, R.M.T.; Payn, R.A.; La, Fontaine, J.H. PRMS-IV (2015), the Precipitation-Runoff Modeling System; version 4. U.S. Geological Survey (Reston, VA, USA) Techniques and Methods, Book 6, Chap. B7; p. 158. Available online: https://pubs.usgs.gov/tm/6b7/(accessed on 13 February 2016). google scholar
  • Michal, J (2007). Rainfall-runoff modelling in small and middle-large catchments - An overview. Sbornik CGS, 111, c 3, s. 305-313. ISSN 1212-0014. google scholar
  • Mohammed A, Dan’Azumi, S., Modibbo, A. A, Adamu, A. A., Ibrahim Y (2021). Rainfall-Runoff Modeling for Challawa and Jakara Catchment Areas of Kano City, Nigeria. Arid zone Journal of Engineering, Technology & Environment. Published by the Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria. Print ISSN: 1596-2490, Electronic ISSN: 2545-5818. google scholar
  • Muhammad Abdullah, Mahmid S. R, Atiqur M.R, Sahabuddin, S.M.(2019).Trend analysis of the Hydrological Components in a Watershed: A case study for Bogura District in Bangladesh .Journal of Environmental Hydrology google scholar
  • Muhammad Jehanzaib , Muhammad Ajmal , Mohammed Achite., Tae-Woong Kim (2022).Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation. CLIMATE, 10, 147. doi.org/10.3390/cli10100147 google scholar
  • Mukherjee, D. (2016). Effect of urbanization on flood - a review with recent flood in Chennai (India). International Journal of Engineering Sciences & Research Technology, 5(7): 451-455. google scholar
  • Neitsch, S.L., Arnold, J.G., Kiniry, J.R. Williams, J.R (2005). Soil and Water Assessment Tool Theoretical Documentation Version 2005. Grassland, Soil and Water Research Laboratory, Blackland Research Center, Temple, Texas. google scholar
  • O'Connor, K. M. (1976): A discrete linear cascade model for hydrology. Journal ofHydrology, 29, p. 203-242 google scholar
  • Perlman, H. (2016). The Water Cycle- USGS Water Science School. google scholar
  • Rangari, V.A., Sridhar, V., Umamahesh, N.V. Patel, A.K. (2018). Rainfall Runoff Modeling of Urban Area Using HEC-HMS: A case study of Hyderabad city, Conference Paper. google scholar
  • Refsgaard, J.C (1996). Validation and intercomparison of different hydrological models. Water Resources Research,32(7),2189-2202 google scholar
  • Santosh. Patil, Sharda. Patil and Shriniwas. Valunjkar( 2012). Study of Different Rainfall-Runoff Forecasting Algorithms for Better Water Consumption. International Conference on Computational Techniques and Artificial Intelligence (ICCTAI'2012) Penang, Malaysia google scholar
  • Singh, V. P (1995). Hydrological modelling of watershed systems. In proceedings of the international conference of hydrological science and technology (pp.123-1320.American Society of Civil Engineers. google scholar
  • Sorooshian, S, Sharma, K. D, and Wheater, H. (2008). Hydrological Modelling in Arid and Semi-Arid Areas. New York: Cambridge University Press. 223 p. ISBN-13 978-0-511-37710-5. google scholar
  • Sun, G., H. Riekerk, and N.B. Comerford, 1998. Modeling the Hydrologic Impacts of Forest Harvesting on Flatwoods. Journal of the American Water Resources Association 34:843-854. google scholar
  • Sun, G., Z.Q. Zhang, G.Y. Zhou, and X. Wei, 2007. Forest Watershed Hydrological Simulation Models: Concepts, Use and Application Problems in China. Journal of Beijing Forestry University 29(3):178-184 (in Chinese). google scholar
  • Tassew, B.G., Belete, M.A. and Miegel, K (2019). Application of HEC-HMS Model for Flow Simulation in the Lake Tana Basin: A case of Gilgel Abay Catchment, Upper Blue Nile Basin, Ethiopia. Journal of Hydrology, 6(21): 1 - 17 google scholar
  • Tian, K.D., Shen, B., Jia, X. (2016) Application of MIKE SHE model in runoff simulation of Bahe river basin. google scholar
  • Tramblay Y, Bouvier C, Ayral PA, Marchandise A (2011). Impact of rainfall spatial distribution on rainfall-runoff modelling efficiency and initial soil moisture conditions estimation. Natural Hazards Earth Syst. Sci.; 11:157-170. google scholar
  • Tripti, D, Shamshad A and Mohammed S (2022). Hydrological modelling of Bhagirathi River Basin using HEC-HMS.J ournal of applied water engineering and research google scholar
  • Van der TaK, L.D, Bras, R.L (1990). Stochastic modelling of groundwater flow and solute transport. Water Resources Research, 26(6), 1145-1156 google scholar
  • Vaze, J., Jordan, P., Beecham, R., Frost, A., Summerell, G. (2012). Guidelines for Rainfall Runoff Modelling: Towards best practice model application (pp. 47). google scholar
  • Vernon H.K, Ali D and Terry W (1991). A review of rainfall-runoff modelling for storm water management. A report prepared by the office of surface water resources and system analysis and prepared for United State of America, Geological Survey, Illinois District google scholar
  • Wagener, T., Sivapalan, M., Troch, P., and Woods, R. (2010). Catchment classification and hydrologic similarity. Geography Compass, 4(12), 1722-1739. google scholar
  • Wang, G.Q., Zhang, J.Y, Xuan, Y .Q, Jin, J .L, Bao, Z.X ,He, R. M, Liu, C.S, Liu, Y.L and Yan, X. L.(2013). Simulating the impact of climate change on runoff in a typical river catchment of the Loess Plateau, China. Journal ofHydrometeorology, 14(5), pp. 1553- 1561. google scholar
  • Wu, F.; Zhan, J.; Güneralp, I (2015). Present and future of urban water balance in the rapidly urbanizing Heihe ' River Basin, Northwest China. Ecol. Model., 318, 254-264. google scholar
  • Xia, J.; Wang, G.; Tan, G.; Ye, A.; Huang, G.H (2005). Development of distributed time-variant gain model for Non-linear hydrological systems. Sci. China Ser. D Earth Sci., 48, 713-723 google scholar
  • Xu, C. Y. (2002). Hydrologic Models (Vol. 2). Sweden: Uppsala University Department of Earth Sciences Hydrology. google scholar
  • Zhao, Z.Y., Lu, Y., Yuan, X. et al. (2018) Serviceability evaluation of MIKE SHE in large ecological hydrological region. Water Resource & Hydropower of Northeast China: 30-31. google scholar

Citations

Copy and paste a formatted citation or use one of the options to export in your chosen format


EXPORT



APA

Solomon, O.O., Akintola, O.A., Jimoh, R., Gbadebo, O.A., & Faloye, O.T. (2024). Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling. International Journal of Environment and Geoinformatics, 11(3), 119-129. https://doi.org/10.30897/ijegeo.1514176


AMA

Solomon O O, Akintola O A, Jimoh R, Gbadebo O A, Faloye O T. Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling. International Journal of Environment and Geoinformatics. 2024;11(3):119-129. https://doi.org/10.30897/ijegeo.1514176


ABNT

Solomon, O.O.; Akintola, O.A.; Jimoh, R.; Gbadebo, O.A.; Faloye, O.T. Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling. International Journal of Environment and Geoinformatics, [Publisher Location], v. 11, n. 3, p. 119-129, 2024.


Chicago: Author-Date Style

Solomon, Oluwatobi Olaleye, and Olayiwola Akin Akintola and Rafiu Jimoh and Oluwakemi Anthonia Gbadebo and Oluwaseun Temitope Faloye. 2024. “Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling.” International Journal of Environment and Geoinformatics 11, no. 3: 119-129. https://doi.org/10.30897/ijegeo.1514176


Chicago: Humanities Style

Solomon, Oluwatobi Olaleye, and Olayiwola Akin Akintola and Rafiu Jimoh and Oluwakemi Anthonia Gbadebo and Oluwaseun Temitope Faloye. “Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling.” International Journal of Environment and Geoinformatics 11, no. 3 (Dec. 2024): 119-129. https://doi.org/10.30897/ijegeo.1514176


Harvard: Australian Style

Solomon, OO & Akintola, OA & Jimoh, R & Gbadebo, OA & Faloye, OT 2024, 'Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling', International Journal of Environment and Geoinformatics, vol. 11, no. 3, pp. 119-129, viewed 23 Dec. 2024, https://doi.org/10.30897/ijegeo.1514176


Harvard: Author-Date Style

Solomon, O.O. and Akintola, O.A. and Jimoh, R. and Gbadebo, O.A. and Faloye, O.T. (2024) ‘Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling’, International Journal of Environment and Geoinformatics, 11(3), pp. 119-129. https://doi.org/10.30897/ijegeo.1514176 (23 Dec. 2024).


MLA

Solomon, Oluwatobi Olaleye, and Olayiwola Akin Akintola and Rafiu Jimoh and Oluwakemi Anthonia Gbadebo and Oluwaseun Temitope Faloye. “Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling.” International Journal of Environment and Geoinformatics, vol. 11, no. 3, 2024, pp. 119-129. [Database Container], https://doi.org/10.30897/ijegeo.1514176


Vancouver

Solomon OO, Akintola OA, Jimoh R, Gbadebo OA, Faloye OT. Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling. International Journal of Environment and Geoinformatics [Internet]. 23 Dec. 2024 [cited 23 Dec. 2024];11(3):119-129. Available from: https://doi.org/10.30897/ijegeo.1514176 doi: 10.30897/ijegeo.1514176


ISNAD

Solomon, OluwatobiOlaleye - Akintola, OlayiwolaAkin - Jimoh, Rafiu - Gbadebo, OluwakemiAnthonia - Faloye, OluwaseunTemitope. “Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling”. International Journal of Environment and Geoinformatics 11/3 (Dec. 2024): 119-129. https://doi.org/10.30897/ijegeo.1514176



TIMELINE


Submitted11.07.2024
Accepted14.09.2024
Published Online28.09.2024

LICENCE


Attribution-NonCommercial (CC BY-NC)

This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.


SHARE




Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.