Abstract
Kelani River Basin in Sri Lanka experiences frequent flooding resulting in loss of lives and properties in this basin. Keeping this in view, a study is taken up for Flood Assessment in Kelani River Basin, Sri Lanka up to Hanwella gauging site using HEC-Hydrologic Modelling System (HEC-HMS) tool. In the study, various available options of HEC-HMS have been considered for evaluation using various goodness of fit criteria, such as NashSutcliffe model efficiency (NSE), Percent Error in Peak, and Percent Error in Time to Peak and Percent error in Discharge Volume (Volume Deviation (Dv)). The Basin model has been selected considering the Kelani river basin up to Hanwella gauging site as a single basin for simulation of flood hydrographs and, in eteorological model, the Gaged weight option, of HEC-HMS, is considered for rainfall analysis. For the transform model or direct runoff model, Clark UH, SCS UH and Snyder UH models are considered. The calibration (manual and automatic) and validation of model parameters are carried out using hourly rainfall-runoff data of the five storm events observed during the monsoon seasons of the years 2017, 2016, 2014 and 2012. The Arc Map-ArcGIS and HEC-GeoHMS have also been used to process the different types of spatial data required as input for the HEC-HMS model application. It is found that the Clark model is the best-suited model for flood assessment of Kelani River Basin. The calibrated and validated Clark model can be very much useful for water managers and decision-makers to adopt structural and non-structural measures to minimize the losses due to frequent occurrence of floods in Kelani River Basin.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Clark CO (1945) Storage and the unit hydrograph. Trans ASCE 110:1419–1446
Cuen RHM, Knight Z, Cutter AG (2006) Evaluation of Nash—Sutcliffe efficiency index. J Hydrol Eng 11(6):597–602
De Silva MMGT Weerakoon SB Srikantha H (2014) Modeling of event and continuous flow hydrographs with HEC–HMS: case study in the Kalani River Basin, Sri Lanka. J Hydrol Eng ASCE 19(4):800–806
Jain SK, Singh RD, Seth SM (2000) Design flood estimation using GIS supported GIUH approach. J Water Res Manage 14:369–376
Kumar RC, Chatterjee C, Singh RD, Lohani LK, Sanjay K (2004) GIUH based Clark and Nash models for runoff estimation for ungauged basin and their uncertainty analysis. Intl J River Basin Manage 2(4):281–290
Nandalal HK, Ratnayake UR (2010) Event based modeling of a watershed using HEC-HMS. J Inst Eng Sri Lanka xxxxiii(2):28–37
Sampath DS, Weerakoon SB, Herath S (2015) HEC-HMS model for runoff simulation in a tropical catchment with intra-basin diversions—case study of the Deduru Oya River Basin, Sri Lanka. J Inst Eng Sri Lanka XLVIII(1):1–9
Singh PK, Mishra SK, Jain MK (2014) A review of the synthetic unit hydrograph: from the empirical UH to advanced geomorphological methods. Hydrol Sci J 59(2):239–261
Acknowledgements
The authors would like to acknowledge the opportunities provided by Indian Water Resource Society (IWRS) and Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee 247667 to present this paper in the International Conference on” SUSTAINABLE TECHNOLOGIES FOR INTELIGENT WATER MANAGEMENT” during February 16 to 19, 2018. The authors also thank to the Department of Irrigation, Sri Lanka for providing the required data for the study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rajkumar, S., Mishra, S.K., Singh, R.D. (2021). Application of Hydrologic Modelling System (HEC-HMS) for Flood Assessment; Case Study of Kelani River Basin, Sri Lanka. In: Pandey, A., Mishra, S., Kansal, M., Singh, R., Singh, V.P. (eds) Hydrological Extremes. Water Science and Technology Library, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-59148-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-59148-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-59147-2
Online ISBN: 978-3-030-59148-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)