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

Yıl 2024, , 119 - 129, 28.09.2024

Oluwatobi Olaleye , Olayiwola Akintola , Rafiu Jımoh , Olukemi Gbadebo , Oluwaseun Faloye

https://doi.org/10.30897/ijegeo.1514176

Öz

Water is considered as an important resources 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 tends to reviewed 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.

Anahtar Kelimeler

Hydrological models, Rainfall -Runoff Simulation, sustainable water resources management, Earth

Etik Beyan

We declare that our study do not require ethical committee permission and no conflict of interest whatsoever

Destekleyen Kurum

None

Proje Numarası

24

Teşekkür

Thank you for given us we research team the opportunity to submit this review article for kind consideration in your highly reputable journal research publication in the Europe

Kaynakça

• Abbott, M.B. Refsgaard, J.C (1996). Deterministic models. Distributed Hydrological Modelling, Kluwer Academic Publishers: Dordrecht, pp. 27–30.
• 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.
• 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.
• 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.
• 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.
• 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.
• Axel Bronstert (2004). Rainfall-runoff modelling for assessing impacts of climate and land-use change. Hydrological Processes. Hydrol. Process. 18, 567–570. Wiley InterScience (www.interscience.wiley.com). DOİ. 10.1002/hyp.5500
• 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 Batie, S. S. (2013). Land use changes and water resources in the US: A review. The American Economic Review, 86(2), 54-63.
• Beven, K. J (2012). Rainfall Runoff Modelling: The primer, John Wiley & Sons: Hoboken, NJ, USA.
• 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
• Beven, K.J (2011). Rainfall-Runoff Modelling: The Primer; John Wiley & Sons: Hoboken, NJ, USA.
• 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, 169–193
• 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.
• 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.
• Chow, V. T, Maidment, D. R Mays W (1988). Applied Hydrology, McGraw-Hill.
• 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: 578-587. DOİ. 10.3844/ajessp.2009.578.587
• Devi, G.K.; Ganasri, B.P.; Dwarakish, G.S (2015). A review on hydrological models. Aquat. Procedia, 4, 1001–1007
• ESRI (2015). ArcGIS Release 10.3.1 Redlands, CA: Environmental Systems Research Institute
• 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
• 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
• 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
• 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
• Gosain, A.K., Mani, A., Dwivedi, C (2009). Hydrological modelling literature review: Report No.1. Indo-Norwegian Institutional Cooperation Program.
• 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
• 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.
• Hydrological Modelling System HEC-HMS (2000). Technical Reference Manual. US Army Corps of Engineers, Hydrologic Engineering Center, St. Davis, California
• 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.
• 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)
• Kisi, O.; Shiri, J.; Tombul, M (2013). Modeling rainfall-runoff process using soft computing techniques. Comput. GEOSCI. , 51, 108–117.
• 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
• Kumar R. Research Methodology: A Step-by-Step Guide for Beginners. (3). Sage, New Delhi, 2011 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.
• 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
• 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
• Maidment, D.R (1993). Hand Book of Hydrology, McGraw-Hill
• 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.
• 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).
• Michal, J (2007). Rainfall-runoff modelling in small and middle-large catchments – An overview. Sborník ČGS, 111, č 3, s. 305-313. ISSN 1212-0014.
• 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.
• 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
• 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
• 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.
• 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.
• O´Connor, K. M. (1976): A discrete linear cascade model for hydrology. Journal of Hydrology, 29, p. 203-242 Perlman, H. (2016). The Water Cycle- USGS Water Science School.
• 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.
• Refsgaard, J.C (1996). Validation and intercomparison of different hydrological models. Water Resources Research,32(7),2189-2202
• 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
• 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.
• 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.
• 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.
• 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).
• 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
• Tian, K.D., Shen, B., Jia, X. (2016) Application of MIKE SHE model in runoff simulation of Bahe river basin. 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.
• 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
• Van der TaK, L.D, Bras, R.L (1990). Stochastic modelling of groundwater flow and solute transport. Water Resources Research, 26(6), 1145-1156
• Vaze, J., Jordan, P., Beecham, R., Frost, A., Summerell, G. (2012). Guidelines for Rainfall Runoff Modelling: Towards best practice model application (pp. 47). 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
• Wagener, T., Sivapalan, M., Troch, P., and Woods, R. (2010). Catchment classification and hydrologic similarity. Geography Compass, 4(12), 1722-1739.
• 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 of Hydrometeorology, 14(5), pp. 1553– 1561.
• 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.
• 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
• Xu, C. Y. (2002). Hydrologic Models (Vol. 2). Sweden: Uppsala University Department of Earth Sciences Hydrology.
• 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.