Skip to main content

Advertisement

Log in

Flood hazard delineation in an ungauged catchment by coupling hydrologic and hydraulic models with geospatial techniques—a case study of Koraiyar basin, Tiruchirappalli City, Tamil Nadu, India

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Flooding in urban basins is a major natural catastrophe that leads to many causalities of life and property. The semi-urbanized Koraiyar River basin in Tamil Nadu has important cities like Tiruchirappalli and many towns located in it. The basin unfailingly experiences a flood event in almost every decade. It is anticipated that the basin will undergo rapid unplanned urbanization in the years to come. Such fast and erratic urban developments will only increase the risk of urban floods ultimately resulting in loss of human lives and extensive damages to property and infrastructure. The effects of urbanization can be quantified in the form of land use land cover (LULC) changes. The LULC change and its impacts on urban runoff are studied for the continuous 30-year present time period of (1986–2016) to reliably predict the anticipated impact in the future time period of (2026–2036). The analysis of land cover patterns over the years shows that urbanization is more prevalent in the northern part of the basin of the chosen study area when compared with the other regions. The extreme rainfall events that occurred in the past, and the probable future LULC changes, as well as their influence on urban runoff, are studied together in the current study. In order to minimize flood damages due to these changing land use conditions, certain preventive and protective measures have to be adopted at the earliest. There are some inevitable limitations while applying traditional measures in flood modeling studies. This investigative work considers a case study on the ungauged Koraiyar floodplains. The spatial scale risk assessment is assessed by coupling geographic information systems, remote sensing, hydrologic, and hydraulic modeling, to estimate the flood hazard probabilities in the Koraiyar basin. The maximum flood flow is generated from the Hydrologic Engineering Centre-Hydrologic Modeling System (HEC-HMS), the hydrologic model adopted in the present study. The maximum flood flow is given as input to the Hydrologic Engineering Centre-River Analysis System (HEC-RAS), an effective hydraulic model that generates water depth and flood spread area in the basin. The flood depth and hazard maps are derived for 2, 5, 10, 50, and 100-year return periods. From the analysis, it is observed that the minimum flood depth is less than 1.2 m to a maximum of 4.7 m for the 100-year return period of past to predicted future years. The simulated results show that the maximum flood depth of 4.7 m with flood hazard area of 4.32% is identified as high hazard zones from the years 1986–2036, located in the center of the basin in Tiruchirappalli city. The very high hazard flood-affected zone in the Koraiyar basin during this period is about 198.85 km2. It is noticed that the very low hazard zone occupies more area in the basin for the present and future simulations of flood hazard maps. The results show that the increase in peak runoff and runoff volume is marginally varied.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Abdel-Fattah, M., Saber, M., Kantoush, S., Khalil, F., & Sumi, T. S. A. (2017). A hydrological and geomorphometric approach to understanding the generation of wadi fash foods. Water, 9, 553. https://doi.org/10.3390/w9070553.

    Article  Google Scholar 

  • Acosta-Coll, M., Ballester-Merelo, F., & Marcos Martı’nez-Peiro´. (2018). Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin. Natural Hazards, 92, 1237–1265.

    Google Scholar 

  • Alfieri, L., Salamon, P., Bianchi, A., Neal, J., Bates, P., & Feyen, L. (2014). Advances in pan-European flood hazard mapping. Hydrological Processes, 28(13), 4067–4077.

    Google Scholar 

  • Alley, R. B., Marotzke, J., Nordhaus, W. D., Overpeck, J. T., Peteet, D. M., Pielke RA Jr, Pierrehumbert, R. T., Rhines, P. B., Stocker, T. F., Talley, L. D., & Wallace, J. M. (2003). Abrupt climate change. Science, 299, 2005–2010.

    CAS  Google Scholar 

  • An Thi Ngoc Dang, & Lalit Kumar. (2017). Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: a case study of District 8, Ho Chi Minh city, Vietnam. Geomatics, Natural Hazards and Risk, 8(2), 1792–1811.

    Google Scholar 

  • Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment—part 1: model development. Journal of the American Water Resources Association, 34, 73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.X.

    Article  CAS  Google Scholar 

  • Aryal, et al. (2020). A model-based flood hazard mapping on the southern slope of Himalaya. Water, 12, 540. https://doi.org/10.3390/w12020540.

    Article  Google Scholar 

  • Ashmore, P., & Church, M. (2001). The impact of climate change on rivers and river processes in Canada. Geological Survey of Canada, 555, 58.

    Google Scholar 

  • Bharath, R., & Elshorbagy, A. (2018). Flood mapping under uncertainty: a case study in the Canadian prairies. Natural Hazards, 94, 537–560. https://doi.org/10.1007/s11069-018-3401-1.

    Article  Google Scholar 

  • Bhuiyan, M. A., Kumamoto, T., & Suzuki, S. (2015). Application of remote sensing and GIS for evaluation of the recent morphological characteristics of the lower Brahmaputra-Jamuna River, Bangladesh. Earth Science Informatics, 8(3), 551–568.

    Google Scholar 

  • Changnon, S. A., Pielke, R. A., Changnon, D., Sylves, R. T., & Pulwarty, R. (2000). Human factors explain the increased losses from weather and climate extremes. Bulletin of the American Meteorological Society, 81(3), 437–442.

    Google Scholar 

  • Chen, J., Hill, A. A., & Urbano, L. D. (2009a). A GIS-based model for urban flood inundation. Journal of Hydrology, 373(1), 184–192.

    Google Scholar 

  • Chen, Y., Xu, Y., & Yin, Y. (2009b). Impacts of land use change scenarios on storm-runoff generation in Xitiaoxi basin, China. Quaternary International, 208, 121–128. https://doi.org/10.1016/j.quaint.2008.12.014.

    Article  Google Scholar 

  • Cheng, L., Agakouchak, A., Gilleland, E., & Katz, R. W. (2014). Non-stationary extreme value analysis in changing climate. Climate Change, 127, 353–369.

    Google Scholar 

  • Chow, V. T. (1959). Open channel hydraulics (pp. 3–127). Inc, New York: McGraw-Hill Book Company.

    Google Scholar 

  • Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied hydrology. New York: McGraw-Hill.

    Google Scholar 

  • Costae, M. H., Botta, A., & Cardille, J. A. (2003). Effects of large-scale changes in land cover on the discharge of the Tocantins river, Southeastern Amazonia. Journal of Hydrology, 283(1–4), 206–217.

    Google Scholar 

  • Daniel, C., & Mays, L. W. (2015). Development of an optimization/simulation model for real-time flood-control operation of river-reservoirs systems. Water Resources Management, 29, 3987–4005. https://doi.org/10.1007/s11269-015-1041-8.

    Article  Google Scholar 

  • Derdour, A., & Bouanani, A. (2019). Coupling HEC-RAS and HEC-HMS in rainfall–runoff modeling and evaluating floodplain inundation maps in arid environments: case study of Ain Sefra city, Ksour Mountain. SW of Algeria. Environmental Earth Sciences, 78, 586. https://doi.org/10.1007/s12665-019-8604-6.

    Article  Google Scholar 

  • Derdour, A., Bouanani, A., & Baba-Hamed, K. (2017). Hydrological modeling in semi-arid region using HEC-HMS model. Case study in Ain Sefra watershed, Ksour Mountains (SW, Algeria). Journal of Fundamental and Applied Sciences, 92, 1027–1049. https://doi.org/10.4314/jfas.v9i2.27.

    Article  Google Scholar 

  • Dewan, A. M., & Yamaguchi, Y. (2009). Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Applied Geography, 29, 390–401.

    Google Scholar 

  • Dewan, A. M., Kumamoto, T., & Nishigaki, M. (2006). Flood hazard delineation in Greater Dhaka, Bangladesh using an integrated GIS and remote sensing approach. Geocarto International, 21(2), 33–38. https://doi.org/10.1080/10106040608542381.

    Article  Google Scholar 

  • Dhruvesh, P. P., Ramirez, J. A., Srivastava, P. K., Bray, M., & Han, D. (2017). Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5. Natural Hazards, 89, 93–130. https://doi.org/10.1007/s11069-017-2956-6.

    Article  Google Scholar 

  • European Parliament Council (2007) Directive 2007/60/Ec of the European Parliament and of the council of 23 October 2007 on the assessment and management of flood risks. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:52007SC1416.

  • Gallegos, H. A., Schubert, J. E., & Sanders, B. F. (2009). Two-dimensional, high-resolution modeling of urban dam-break flooding: a case study of Baldwin Hills, California. Advances in Water Resources, 32, 1323–1335.

    Google Scholar 

  • Gao, W., Shen, Q., Zhou, Y., & Li, X. (2018). Analysis of flood inundation in ungauged basins based on multi-source remote sensing data. Environmental Monitoring and Assessment, 190, 129.

    Google Scholar 

  • Gaume, E., Bain, V., Bernardara, P., Newinger, O., Barbuc, M., Bateman, A., Blaškovičová, L., Blöschl, G., Borga, M., Dumitrescu, A., Daliakopoulos, I., Garcia, J., Irimescu, A., Kohnova, S., Koutroulis, A., Marchi, L., Matreata, S., Medina, V., Preciso, E., Sempere-Torres, D., Stancalie, G., Szolgay, J., Tsanis, I., Velasco, D., & Viglione, A. (2009). A compilation of data on European flash floods. Journal of Hydrology, 367, 70–78.

    Google Scholar 

  • Ghanbarpour, M. R., Mohsen, M., & Saravi, S. S. (2014). Floodplain inundation analysis combined with contingent valuation: implications for sustainable flood risk management. Water Resources Management, 28, 2491–2505.

    Google Scholar 

  • Guhasapir, D., Hargitt, D., Hoyois. P. (2004) Thirty Years of Natural Disasters 1974–2003: The Numbers. Presses 728 universitaires de Louvain- Belgium, Brussels, p 188.

  • Hajat, S., Ebi, K. L., Kovats, S., Menne, B., Edwards, S., & Haines, A. (2003). The human health consequences of flooding in Europe and the implications for public health. Applied Environmental Science and Public Health, 1(1), 13–21.

    Google Scholar 

  • Hassan, M. A., Church, M., Lisle, T. E., Brardinoni, F., Benda, L., & Grant, G. E. (2005). Sediment transport and channel morphology of small, forested streams1. Journal of the American Water Resources Association, 41(4), 853–876.

    Google Scholar 

  • Hathout, S. (2002). The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada. Journal of Environmental Management, 66, 229–238.

    CAS  Google Scholar 

  • HEC-RAS, reference manual (2016) USACE, version 5.0. US Army Corps of Engineers, CPD-68.

  • Herold, M., Goldstein, N. C., & Clarke, K. C. (2003). The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sensing of Environment, 86, 286–302.

    Google Scholar 

  • Jan Klimes, Miroslava Benesˇova´, Vı’t Vilı’mek, Petr Bousˇka, & Alejo Cochachin Rapre. (2014). The reconstruction of a glacial lake outburst flood using HEC-RAS and its significance for future hazard assessments: an example from Lake 513 in the Cordillera Blanca, Peru. Natural Hazards, 71, 1617–1638. https://doi.org/10.1007/s11069-013-0968-4.

    Article  Google Scholar 

  • Jayaraman, V., Chandrasekhar, M. G., & Rao, U. R. (1997). Managing the natural disasters from space technology inputs. Acta Astronautica, 40(2–8), 291–325.

    Google Scholar 

  • Jonkman, S. N., & Kelman, I. (2005). An analysis of causes and circumstances of flood disaster deaths. Disasters, 29(1), 75–97.

    Google Scholar 

  • Karagiorgos, K., Thaler, T., Heiser, M., Hübl, J., & Fuchs, S. (2016). Integrated flash food vulnerability assessment: insights from East Attica, Greece. Journal of Hydrology, 541(A), 553–562. https://doi.org/10.1016/j.jhydrol.2016.02.052.

  • Karbasi, M., Shokoohi, A., & Saghafian, B. (2018). Loss of life estimation due to flash floods in residential areas using a regional model. Water Resources Management, 32, 4575–4589. https://doi.org/10.1007/s11269-018-2071-9.

    Article  Google Scholar 

  • Kleinhans, M. G. (2005). Flow discharge and sediment transport models for estimating a minimum timescale of hydrological activity and channel and delta formation on Mars. Journal of Geophysical Research, 110, E12003. https://doi.org/10.1029/2005JE002521.

    Article  Google Scholar 

  • Koneti, S., & Sri lakshmi, S., Parth sarathi, R. (2018). Hydrological Modeling with Respect to Impact of Land-Use and Land-Cover Change on the Runoff Dynamics in Godavari River Basin Using the HEC-HMS Model. International Journal of Geo-Information, 7, 206. https://doi.org/10.3390/ijgi7060206

    Article  Google Scholar 

  • Kwan Tun Lee, & Pin-Chun Huang. (2018). Assessment of flood mitigation through riparian detention in response to a changing climate—a case study. Journal of Earth System Science, 127, 83. https://doi.org/10.1007/s12040-018-0983-7.

    Article  Google Scholar 

  • Lambin, E. F., Geist, H., & Lepers, E. (2003). Dynamics of land use and cover change in tropical regions. Annual Review of Environment and Resources, 28, 205–241.

    Google Scholar 

  • Lugeri, N., Kundzewicz, Z. W., Genovese, E., Hochrainer, S., & Radziejewski, M. (2010). River flood risk and adaptation in Europe-assessment of the present status. Mitigation and Adaptation Strategies for Global Change, 15, 621–639.

    Google Scholar 

  • Madadi, M. R., Azamathulla, H. M., & Yakhkeshi, M. (2015). Application of Google earth to investigate the change of flood inundation area due to flood detention dam. Earth Science Informatics, 8, 627–638. https://doi.org/10.1007/s12145-014-0197-8.

    Article  Google Scholar 

  • Mai, D. T., & Smedt, F. D. (2017). A combined hydrological and hydraulic model for flood prediction in Vietnam applied to the Huong River basin as a test case study. Water, 9, 879. https://doi.org/10.3390/w9110879.

    Article  Google Scholar 

  • Mallikarjun, M., Vikas, D., Prudhviraju, K. N., Patel, S. B., & Mohan, K. (2019). Precision mapping of boundaries of flood plain river basins using high-resolution satellite imagery: a case study of the Varuna river basin in Uttar Pradesh, India. Journal of Earth System Science, 128, 105. https://doi.org/10.1007/s12040-019-1146-1.

    Article  Google Scholar 

  • Masood, M., & Takeuchi, K. (2012). Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model. Natural Hazards, 61(2), 757–770.

    Google Scholar 

  • Melesse, A. M., & Shih, S. F. (2002). Spatialy distributed storm runoff depth estimation using Landsat images and GIS. Computers and Electronics in Agriculture, 37, 173–183.

    Google Scholar 

  • Merritt, W.S., Letcher, R.A., Jakeman, A.J. (2003). A review of erosion and sediment transport models. Environ Model Softw,18(8),761–799.

  • Merwade, V., Cook, A., & Coonrod, J. (2008). GIS techniques for creating river terrain models for hydrodynamic modeling and flood inundation mapping. Environmental Modelling and Software, 23, 1300–1311.

    Google Scholar 

  • Miller, J. D., Kim, H., Kjeldsen, T. R., Packman, J., Grebby, S., & Dearden, R. (2014). Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover. Journal of Hydrology, 515, 59–70.

    Google Scholar 

  • Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. American Society of Agricultural and Biological Engineers, 50(3), 885–900.

    Google Scholar 

  • Neeraj, K. D. L., Arpan, S., & Issac, R. K. (2017). Applicability of HEC-RAS & GFMS tool for 1D water surface elevation/flood modeling of the river: a case study of River Yamuna at Allahabad (Sangam), India. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-017-0390-0.

  • Nikolakopoulos, K. G., Choussiafis, C., & Karathanassi, V. (2015). Assessing the quality of DSM from ALOS optical and radar data for automatic drainage extraction. Earth Science Informatics, 8, 293–307. https://doi.org/10.1007/s12145-014-0199-6.

    Article  Google Scholar 

  • Parry, M.L., Canziani, O.F., Palutikof, J.P., vanderlinden, P.J., Hanson, C.E. (2007). Summary for policymakers in: Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. (pp.7–22). Cambridge University Press, Cambridge.

  • Prama, M., Omran, A., Schröder, D., & Abouelmagd, A. (2020). Vulnerability assessment of fash foods in Wadi Dahab Basin. Egypt Journal of Remote Sensing, 79, 114. https://doi.org/10.1007/s12665-020-8860-5.

    Article  Google Scholar 

  • Price, R. K., & Vojinovic, Z. (2008). Urban flood disaster management. Urban Water Journal, 5(3), 259–276.

    Google Scholar 

  • Quiroga, V. M., Kure, S., Udo, K., & Mano, A. (2016). Application of 2D numerical simulation for the analysis of the February 2014 Bolivian Amazonia flood: application of the new HEC-RAS version 5. RIBAGUARevista Iberoamericana del Agua, 3, 25–33.

    Google Scholar 

  • Rajeevan, M., & Bhate, J. (2008). A high resolution daily gridded rainfall data set (1971–2005) for mesoscale meteorological studies, NCC Research Report, No.9. Indian Meteorological Department.

  • Sahoo, S. N., & Sreeja, P. (2014). A methodology for determining runoff based on imperviousness in an ungauged Peri urban catchment. Urban Water Journal, 11(1), 42–54.

    Google Scholar 

  • Sahoo, S. N., & Sreeja, P. (2015). Development of Flood Inundation Maps and Quantification of Flood Risk in an Urban Catchment of Brahmaputra River. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(1), A4015001. https://doi.org/10.1061/ajrua6.00

    Article  Google Scholar 

  • Sahoo, S. N., & Sreeja, P. (2016). Determination of effective impervious area for an urban Indian catchment. Journal of Hydrologic Engineering. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001346, 05016004-1–05016004-10.

  • Sahoo, S. N., & Sreeja, P. (2018). Detention ponds for managing flood risk due to increased imperviousness: case study in an urbanizing catchment of India. Natural Hazards Review, 19(1), 05017008. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000271

    Article  Google Scholar 

  • Salimi, S., Ghanbarpour, M. R., Solaimani, K., & Ahmadi, M. Z. (2008). Floodplain mapping using hydraulic simulation model in GIS. Journal of Applied Sciences, 8, 660–665.

    Google Scholar 

  • Sarhadi, A., Soltani, S., & Modarres, R. (2012). Probabilistic flood inundation mapping of ungauged rivers: linking GIS techniques and frequency analysis. Journal of Hydrology, 458, 68–86.

    Google Scholar 

  • Serra, P., Pons, X., & Saurı, D. (2008). Land-cover and land-use change in a Mediterranean landscape: a spatial analysis of driving forces integrating biophysical and human factors. Applied Geography, 28, 189–209.

    Google Scholar 

  • Siart, C., Bubenzer, O., & Eitel, B. (2009). Combining digital elevation data (SRTM/ASTER), high resolution satellite imagery (Quickbird) and GIS for geomorphological mapping: a multi-component case study on Mediterranean karst in Central Crete. Geomorphology, 112, 106–121.

    Google Scholar 

  • Smith, L. C. (1997). Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrological Processes, 11, 1427–1439.

    Google Scholar 

  • Stevens, M. R., & Hanschka, S. (2014). Municipal flood hazard mapping: the case of British Columbia, Canada. Natural Hazards, 73(2), 907–932.

    Google Scholar 

  • Sunkpho, J., & Ootamakorn, C. H. (2011). Real-time flood monitoring and warning system. Songklanakarin. Journal of Science and Technology, 33(2), 227–235.

    Google Scholar 

  • Surendar, N., & Nisha, R. (2019a). Estimation of flood mitigation parameter for Tiruchirappalli city using mathematical relational model. Indian Journal of Geo Marine Sciences, 49(07), 1269–1279.

    Google Scholar 

  • Surendar, N., & Nisha, R. (2019b). Simulation of extreme event-based rainfall–runoff process of an urban catchment area using HEC-HMS. Modeling Earth Systems and Environment, 5, 1867–1881. https://doi.org/10.1007/s40808-019-00644-5.

    Article  Google Scholar 

  • Tarboton, D. G., & Ames, D. P. (2001). Advances in the mapping of flow-networks from digital elevation data. In Proceedings of the World Water And Environmental Resources Congress; may 20–24. Florida: American Society of Civil Engineers.

    Google Scholar 

  • Thirumurugan, P., & Krishnaneni, M. (2018). Flood hazard mapping using geospatial techniques and satellite images—a case study of coastal district of Tamil Nadu. Environmental Monitoring and Assesment, 191, 193. https://doi.org/10.1007/s10661-019-7327-1.

    Article  Google Scholar 

  • Thomas, R. F., Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C., & Hunter, S. J. (2015). Mapping inundation in the heterogeneous floodplain wetlands of the Macquarie marshes, using Landsat thematic mapper. Journal of Hydrology, 524, 194–213. https://doi.org/10.1016/j.jhydrol.2015.02.029.

    Article  Google Scholar 

  • UCAR (University Corporation for Atmospheric Research) (2010) Flash flood early warning system reference guide 2010. ISBN 978-0-615-37421-5.

  • Verma, A. K., Jha, M. K., & Mahana, R. K. (2010). Evaluation of HEC-HMS and WEPP for simulating watershed runoff using remote sensing and geographical information system. Paddy and Water Environment, 8, 131–144. https://doi.org/10.1007/s10333-009-0192-8.

    Article  Google Scholar 

  • Ward, R. (1978). Floods: a geographical perspective. London: MacMillan.

    Google Scholar 

  • Weaver, A. (2016). Reanalysis of flood of record using HEC-2, HEC-RAS, and USGS gauge data. Journal of Hydrologic Engineering, 21(6), 05016011. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001354.

    Article  Google Scholar 

  • Wheater, H. S., Jolley, T. J., Onof, C., Mackay, N., & Chandler, R. E. (1999). Analysis of aggregation and disaggregation effects for grid-based hydrological models and the development of improved precipitation disaggregation procedures for GCMs. Hydrology and Earth System Sciences, 3, 95–108. https://doi.org/10.5194/hess-3-95-1999.

    Article  Google Scholar 

  • Wu, W., Shields, F. D., Bennett, S. J., & Wang, S. S. (2005). A depth-averaged two dimensional model for flow, sediment transport, and bed topography in curved channels with riparian vegetation. Water Resources Research, 41, W03015. https://doi.org/10.1029/2004WR003730.

    Article  Google Scholar 

  • Yang, J., Townsend, R. D., & Daneshfar, B. (2006). Applying the HEC-RAS model and GIS techniques in river network floodplain delineation. Canadian Journal of Civil Engineering, 33, 19–28. https://doi.org/10.1139/L05-102.

    Article  Google Scholar 

  • Younghun, J., Dongkyun, K., Dongwook, K., Munmo, K., Seung, O.L. (2014). Simplified flood inundation mapping based on flood elevation-discharge rating curves using satellite images in gauged watersheds. Water, 6,1280–1299.https://doi.org/10.3390/w6051280.

  • Yu, W., Nakakita, E., Kim, S., & Yamaguchi, K. (2015). Improvement of rainfall and flood forecasts by blending ensemble NWP rainfall with radar prediction considering orographic rainfall. J Hydrol, 531(part 2),494–507. https://doi.org/10.1016/j.jhydrol.2015.04.055.

  • Zaharia, L., Costache, R., Remus Pr˘av˘alie, & Minea, G. (2015). Journal of Earth System Science, 124(6), 1311–1324.

    Google Scholar 

  • Zhang, X.S., Srinivasan, R., Debele, B., Hao, F.H. (2008). Runoff simulation of the headwaters of the Yellow River using the SWAT model with three snowmelt algorithms. Journal of the American Water Research Association, 44,48–61. https://doi.org/10.1111/j.1752-1688.2007.00137.x.

  • Zhang, W., Yanhong, X., Yanru, W., & Hong, P. (2014). Modeling sediment transport and river bed evolution in river system. Journal of Clean Energy Technologies, 2, 175–179. https://doi.org/10.7763/jocet.2014.v2.117.

    Article  Google Scholar 

  • Zope, P. E., Eldho, T. I., & Jothiprakash, V. (2015). Impacts of urbanization on flooding of a coastal urban catchment: a case study of Mumbai City, India. Natural Hazards, 75, 887–908.

    Google Scholar 

  • Zope, P. E., Eldho, T. I., & Jothiprakash, V. (2016). Impacts of land use–land cover change and urbanization on flooding: a case study of Oshiwara River basin in Mumbai, India. Catena, 145, 142–154.

    Google Scholar 

Download references

Acknowledgments

The authors extend their sincere gratitude to the US Army Corps of Engineers for providing HEC-HMS and HEC-RAS as open-source software. The authors also acknowledge the assistance of the State Surface And Groundwater Data Centre, Chennai in providing access to rainfall data. They are also thankful to the editorial board and and anonymous reviewers for providing their constructive comments, which have helped to improve the manuscript. The authors also extend their grateful thanks to USACE for providing open-source software free of charge and ALOS for providing DEM data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Surendar Natarajan.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 5632 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Natarajan, S., Radhakrishnan, N. Flood hazard delineation in an ungauged catchment by coupling hydrologic and hydraulic models with geospatial techniques—a case study of Koraiyar basin, Tiruchirappalli City, Tamil Nadu, India. Environ Monit Assess 192, 689 (2020). https://doi.org/10.1007/s10661-020-08650-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-020-08650-2

Keywords

Navigation