World Environmental and Water Resources Congress 2019
Rainfall-Runoff Simulation in Cache River Basin, Illinois, Using HEC-HMS
Publication: World Environmental and Water Resources Congress 2019: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
ABSTRACT
Rainfall-runoff simulation is an essential step in analyzing the impacts of extreme flood events. This can aid in water resource management and planning. In areas that are prone to floods, it becomes necessary to perform an extensive hydrological study. Cache River watershed is one of the flood prone watersheds in Illinois, mainly due to the confluence of two large rivers Mississippi and Ohio, in southern Illinois. This study utilizes hydrological modeling system (HEC-HMS) for simulation of Cache River watershed to analyze the response of rainfall and runoff. Rainfall-runoff modelling helps in estimating peak flows which is very essential to strategize water resources management. This model also incorporates ArcGIS extension HEC-GEOHMS, which performs geospatial analysis and generates the hydrologic modeling inputs for the HEC-HMS model. SCS unit hydrograph method was used for runoff estimation depending on the available parameters to be estimated. Daily precipitation data, elevation data, percentage of impervious, and curve number, which takes into account the land use and soil characteristics of the watershed was used as model inputs for the HEC-HMS model. The model was then calibrated by taking a set of storm events occurring in the catchment from 2010 to 2015. Another set of storm events was used for validation of the model. The model performance was evaluated by using various statistical indices. The model, thus developed, can be used to manage different flood evens and adopt effective decision and warning systems.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Chen, C., Ahmad, S., Kalra, A., and Xu, Z.-x. (2017). “A dynamic model for exploring water-resource management scenarios in an inland arid area: Shanshan County, Northwestern China.” Journal of Mountain Science, 14(6), 1039-1057.
CHRS,(2015).“CHRS Data Portal.” CHRS Data Portal-PERSIANN-Climate Data Record (CDR),<http://chrsdata.eng.uci.edu” (August 12, 2018).
Demissie, M., Keefer, L., Lian, Y., Yue, F., and Larson, B. D. (2008). “Hydrologic and Hydraulic Modeling and Analyses for the Cashe River for the Purposes of Evaluating Current Conditions and Alternative Restoration Measures.” ISWS CR 2008-01.
M. El Alfy (2016). “Assessing the impact of arid area urbanization on flash floods using GIS, remote sensing, and HEC-HMS rainfall–runoff modeling.” Hydrology Research, nh2016133.
Halwatura, D., and Najim, M. (2013). "Application of the HEC-HMS model for runoff simulation in a tropical catchment. Environmental modelling & software, 46, 155-162.
Illinois Department of Natural Resources. (1997). Cache River Basin: an inventory of the region’ s resources. Retrieved from https://www.ideals.illinois.edu/handle/2142/13965
Jobe, A., Kalra, A., and Ibendahl, E. (2018). "Conservation Reserve Program effects on floodplain land cover management. Journal of environmental management, 214, 305-314.
Kalra, A., Sagarika, S., Pathak, P., and Ahmad, S. (2017). "Hydro-climatological changes in the Colorado River Basin over a century. Hydrological Sciences Journal, 62(14), 2280-2296.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). "Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885-900.
Nandakumar, N., and Mein, R. G. (1997). "Uncertainty in rainfall—runoff model simulations and the implications for predicting the hydrologic effects of land-use change. Journal of Hydrology, 192(1-4), 211-232.
Nyaupane, N., Thakur, B., Kalra, A., & Ahmad, S. (2018). Evaluating Future Flood Scenarios Using CMIP5 Climate Projections. Water, 10(12), 1866.
Pathak, P., Kalra, A., and Ahmad, S. (2017). "Temperature and precipitation changes in the Midwestern United States: implications for water management. International Journal of Water Resources Development, 33(6), 1003-1019.
Pathak, P., Kalra, A., Lamb, K. W., Miller, W. P., Ahmad, S., Amerineni, R., and Ponugoti, D. P. (2018). “Climatic variability of the Pacific and Atlantic Oceans and western US snowpack.“ International Journal of Climatology, 38(3), 1257-1269.
Rauf, A.-u., and Ghumman, A. (2018). “Impact assessment of rainfall-runoff simulations on the flow duration curve of the Upper Indus River—A comparison of data-driven and hydrologic models.“ Water, 10(7), 876.
Seibert, J. (1999). “Regionalisation of parameters for a conceptual rainfall-runoff model.“ Agricultural and forest meteorology, 98, 279-293.
Swain, J. B., and Patra, K. C. (2017). “Streamflow estimation in ungauged catchments using regional flow duration curve: comparative study.“ Journal of Hydrologic Engineering, 22(7), 04017010.
Tamaddun, K., Kalra, A., and Ahmad, S. (2016). “Identification of streamflow changes across the continental United States using variable record lengths.“ Hydrology, 3(2), 24.
Tamaddun, K., Kalra, A., and Ahmad, S. (2018). “Potential of rooftop rainwater harvesting to meet outdoor water demand in arid regions.” Journal of Arid Land, 10(1), 68-83.
Thakali, R., Kalra, A., Ahmad, S., and Qaiser, K. (2018). “Management of an Urban Stormwater System Using Projected Future Scenarios of Climate Models: A Watershed-Based Modeling Approach.“ Open Water Journal, 5(2), 1.
Thakur, B., Parajuli, R., Kalra, A., Ahmad, S., and Gupta, R. “Coupling HEC-RAS and HEC-HMS in Precipitation Runoff Modelling and Evaluating Flood Plain Inundation Map.” Proc., World Environmental and Water Resources Congress 2017a, 240-251.
Thakur, B., Pathak, P., Kalra, A., Ahmad, S., and Bernardez, M. “Using Wavelet to Analyze Periodicities in Hydrologic Variables.” Proc., World Environmental and Water Resources Congress 2017b, 499-510.
Wheater, H., Sorooshian, S., and Sharma, K. D. (2007). Hydrological modelling in arid and semi-arid areas, Cambridge University Press.
Willmott, C. J., and Matsuura, K. (2006). “On the use of dimensioned measures of error to evaluate the performance of spatial interpolators.“ International Journal of Geographical Information Science, 20(1), 89-102.
Yapo, P. O., Gupta, H. V., and Sorooshian, S. (1996). “Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data.“ Journal of Hydrology, 181(1-4), 23-48.
Yazdi, J., Salehi Neyshabouri, S., and Golian, S. (2014). “A stochastic framework to assess the performance of flood warning systems based on rainfall-runoff modeling.“ Hydrological processes, 28(17), 4718-4731.
Zhijia, L., Lili, W., Hongjun, B., Yu, S., and Zhongbo, Y. (2008). “Rainfall-runoff simulation and flood forecasting for Huaihe Basin.“ Water Science and Engineering, 1(3), 24-35.
Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2019: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Pages: 348 - 360
Editors: Gregory F. Scott and William Hamilton, Ph.D.
ISBN (Online): 978-0-7844-8233-9
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: May 16, 2019
Published in print: May 16, 2019
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.