Development of the Jamuneswari Flood Forecasting System: Case Study in Bangladesh
Publication: Journal of Hydrologic Engineering
Volume 17, Issue 10
Abstract
A flood forecasting system has been developed using MIKE11 river-modeling software modules rainfall-runoff (RR) [or Nedbor-Afstromnings model (NAM)], hydrodynamic (HD), and flood forecasting (FF) for the Jamuneswari river catchment of the northwestern part of Bangladesh. The 3-arc second shuttle radar topography mission (SRTM) digital elevation model (DEM) version 4.0 and the D8 method of ArcGIS9.3 have been used to delineate river network and catchment bounderies, which are required for MIKE 11 model setup. The European Centre for Medium-Range Weather Forecast (ECMWF) model-forecasted rainfall data have been used in MIKE 11 NAM-HD modules to increase the forecast lead time to 72 h. Errors in forecast results have been assessed by computing efficiency index, coefficient of correlation, volume error, peak error, and peak time error. Integration of the MIKE 11 HD module with the MIKE NAM module has improved the result by 10.84% for efficiency index, 20.7% for volume error, 25.61% for peak error, and 95.83% for peak time error. The MIKE 11 FF module was applied along with the integrated MIKE 11 NAM and HD modules to minimize error in the forecasted result. The efficiency index, volume error, peak error, and peak time error of the hindcast result, before updating by MIKE 11 FF, were calculated as 0.803, 0.505%, 2.58%, and 2 h, After updating by the MIKE 11 FF module, results were calculated as 0.989, , 0.158%, and 0.00 h. Inputting the ECMWF-forecasted rainfall, the updated forecasting system determined the efficiency index, volume error, peak error, and peak time error as 0.92, 0.008%, 0.87%, and 0.00% for 24 h; 0.87, 0.231%, 0.507%, and 0.00 h for 48 h; and 0.84, 0.519%, and 0.000 h for 72 h. The steps for developing the flood forecasting system described in this case study are generic and can be applied under similar geographic conditions in other locations worldwide. In Bangladesh, decision makers will have more time to develop responses to imminent the flooding as a result of the increased forecast lead time provided by the analysis method described in this case study.
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Acknowledgments
The authors would like to acknowledge, with thanks, the help extended by the Bangladesh Water Development Board (BWDB) in providing data. Mr. Md. Saiful Hossain, Executive Engineer, Flood Forecasting Warning Center (FFWC), BWDB, Bangladesh and Mr. S. M. Shanewaz, Director, Flood Management Division, Institute of Water Modelling (IWM) are also acknowledged for their cooperation and for allowing us to use the relevant software in the FFWC.
References
Aitken, A. P. (1973). “Assessing systematic errors in rainfall-runoff models.” J. Hydrol., 20(2), 121–136.
Barbetta, S., Tommaso, B., Marco, F., Florisa, M., Luca, B., and Singh, V. P. (2010). “Case study: Improving real-time stage forecasting muskingum model by incorporating the rating curve model.” J. Hydraul. Eng., 16(6), 540–557, Submitted April 8, 2010; accepted October 13, 2010; posted ahead of print October 28.
Benke, K. K., Lowell, K. E., and Hamilton, H. J. (2008). “Parameter uncertainty, sensitivity analysis and prediction error in a water-balance hydrological model.” Math Comput. Model., 47(11–12), 1134–1149.
Bergman, M. J., and Delleur, J. W. (1985). “Kalman filter estimation and prediction of daily stream flows: I. Review, algorithm, and simulation experiment.” Water Resour. Bull., 21(5), 815–825.
Beven, K. J. (1993). “Prophecy, reality and uncertainty in distributed hydrological modeling.” Adv. Water Resour., 16(1), 41–51.
Bronstert, A., and Bardossy, A. (2003). “Uncertainty of runoff modelling at the hillslope scale due to temporal variations of rainfall intensity.” Phy. Chem. Earth, Parts A/B/C, 28(6–7), 283–288.
Butts, M. B., Payne, J. T., Kristensen, M., and Madsen, H. (2004). “An evaluation of the impact of model structure on hydrological modeling uncertainty for streamflow simulation.” J. Hydrol., 298(1–4), 242–266.
Chow, V. T., Maidment, D. R., and Mays, L. W. (1988). Applied hydrology, McGraw-Hill International edition, New York.
Chowdhury, M. R. (2005). “Consensus seasonal flood forecasts and warning response system—an alternate for flood management in Bangladesh.” Environmental Management, 35(6), 716–725.
Chowdhury, M. R., and Ward, N. (2004). “Hydro-meteorological variabilty in the greater Ganges-Brahmaputra-Meghna basins.” International Journal of Climatology, 24(12), 1495–1508.
Danish Hydraulic Institute (DHI). (2004). MIKE 11 user & reference manual, Danish Hydraulic Institute, Denmark.
Dean, J. D., and Snyder, W. M. (1977). “Temporally and aerially distributed rainfall.” J. Irrig. and Drain. Div., 103(IR2), 221–229.
Demeritt, D., Cloke, H., Pappenberger, F., Thielen, J., Bartholmes, J., and Ramos, M. H. (2007). “Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting.” Environ. Hazards, 7(2), 115–127.
Franchini, M., Lamberti, P., and Giammarco, P. D. (1999). “Rating curve estimation using local stages, upstream discharge data and a simplified hydraulic model.” Hydrology and Earth System Sciences, 3(4), 541–548.
Fleming, G. (1975). “Computer simulation techniques.” Hydrology, Elsevier, New York, 18–53, 239–252.
Gabellani, S., Boni, G., Ferraris, L., VonHardenberg, J., and Provenzale, A. (2007). “Propagation of uncertainty from rainfall to runoff: A case study with a stochastic rainfall generator.” Adv. Water Resou., 30(10), 2061–2071.
Georgakakos, K. P. (1986). “A generalized stochastic hydro meteorological model for flood and flash-flood forecasting: I. Formulation.” Water Resources Research, 22(13), 2083–2095.
Jonch-Clausen, T., and Refsgaard, J. C. (1984). “A mathematical modeling system for flood forecasting.” Nordic Hydrology, 15, 307–318.
Jorgensen, G., and Host-Madsen, J. (1997). “Development of a flood forecasting system in Bangladesh.” Operational Water Management Conference in Copenhagen, Refsgaard, J. C., and Karalias, E. A., eds., Copenhagen, Denmark, 137–148.
Koussis, A. D. et al. (2003). “Flood forecasts for urban basin with integrated hydro-meteorological model.” J. Hydrol. Eng., 8(1), 1–11.
Krzysztofowicz, R. (2001). “Integrator of uncertainties for probabilistic river stage forecasting: precipitation-dependent model.” J. Hydrol., 249(1–4), 69–85.
Krzysztofowicz, R., and Herr, H. D. (2001). “Hydrologic uncertainty processor for probabilistic river stage forecasting: precipitation-dependent model.” J. Hydrol., 249(1–4), 46–68.
Lettenmaier, D. P., and Wood, E. F. (1993). “Hydrologic forecasting.” Handbook of Hydrology, Maidment, Devid R.ed., McGraw-Hill, New York.
Markar, M. S., Clark, S. Q., Yaowu, Min, and Jing, Zheng (2004). “Evaluation of hydrologic and hydraulic models for real-time flood forecasting use in the Yangtze river catchment.” Aust. J. Water Resour., 10(1), 93–102.
Mirza, M. M. Q. (2003). “The choice of stage-discharge relationship for the Ganges and Brahmaputra rivers in Bangladesh.” Nordic Hydrology, 34(4), 321–342.
Moramarco, T., Barbetta, S., Melone, F., and Singh, V. P. (2006). “A real-time stage muskingum forecasting model for a site without rating curve.” Hydrological Sciences Journal, 51(1), 66–82.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models part 1—A discussion of principals.” J. Hydrol., 10(3), 282–290.
Nielsen, S. A., and Hansen, E. (1973). “Numerical simulation of the rainfall runoff process on a daily basis.” Nordic Hydrology, 4, 171–190.
ODA and JICA. (1993). “North west regional study (FAP2).” The Regional Plan, Final Report, January 1993, Flood Plan Co-ordination Organization, Government of Bangladesh.
Ojha, C. S. P., Bhunya, P., and Berndtsson, R. (2008). Engineering Hydrology, Oxford University Press, Canada.
Parker, D. J., and Fordham, M. (1996). “An evaluation of flood forecasting, warning and response systems in the European union.” Water Resources Management, 10(4), 279–302.
Patro, S., Chatterjee, C., Mohanty, S., Singh, R., and Raghuwanshi, N. S. (2009). “Flood inundation modeling using MIKE flood and remote sensing data.” J. Indian Soc. Remote Sens, 37, 107–118.
Paudyal, G. N. (2002). “Forecasting and warning of water-related disasters in a complex hydraulic setting—the case of Bangladesh.” Hydrol. Sci. J., 47(S), S5–S18.
Paudyal, G. N. (2002a). “Transboundary flood issues: (2). Regional flood forecasting-dreams slowly becoming reality!” A presentation 〈http://ns1.mrcmekong.org/download/free_download/AFF-3/Annex%201.3%20Presentations/ann1.3.3/7-Transboundary%20Mediation%20by%20Guna.pdf〉 (May 16, 2008).
Puente, C. E., and Bras, R. L. (1987). “Application of nonlinear filtering in the real time forecasting of river flows.” Water Resources Research, 23(4), 675–682.
Rahman, M. M., Arya, D. S., and Goel, N. K. (2010). “Limitation of application of 90m SRTM DEM in hydrological application/analysis using D8 method in the flat terrain of Bangladesh.” Applied Geomatics, 2, 49–58.
Rahman, M. M., Arya, D. S., Goel, N. K., and Dhamy, A. P. (2011a). “Design flow and stage computation in the Teesta river, Bangladesh using frequency analysis and MIKE 11.” J. Hydrol. Eng., 16(2), 176–186.
Rahman, M. M., Arya, D. S., Goel, N. K., and Mitra, A. K. (2011b). “Rainfall statistics evaluation of ECMWF model and TRMM data over Bangladesh for flood related studies.” Met. Apps, 〈http://10.1002/met.293〉 (Sep. 13, 2011).
Refsgaard, J. C. (1997). “Validation and intercomparison of different updating procedures for real-time forecasting.” Nordic Hydrology, 28, 65–94.
Refsgaard, J. C., Havncd, K., Ammentorp, H. C., and Verwey, A. (1988). “Application of hydrological models for flood forecasting and flood control in India and Bangladesh.” Elsevier Oceanography Series, 11(2), 101–105.
Refsgaard, J. C., and Knudsen, J. (1996). “Operational validation and intercomparison of different types of hydrological models.” Water Resources Research, 32(7), 2189–2202.
Ruch, C. et al. (2008). “Continuous flood forecasting combined with automatic forecast correction—Application on the Mur river.” Proc., XXIVth Conf. of the Danubian Countries 2.4, Bled, Slovenia 〈http://ksh.fgg.uni-lj.si/bled2008/pdf/Programme.pdf〉 (May 18, 2009).
Rungo, M., Refsgaard, J. C., and Havno, K. (1989). “The updating procedure in the MIKE 11 modelling system for real-time forecasting.” Proceedings of the International Symposium on Hydrological Applications of Weather Radar, Cluckie, I. D., and Collier, C. G., eds., Ellis Horwood Series in Environmental Management, Science and Technology, UK, 497–508.
Saddagha, M. H., and Abedinib, M. J. (2011). “Enhancing MIKE11 updating kernel and evaluating its performance using numerical experiments.” J. Hydrol. Eng., 17(2), 252–261.
Simonton, J. R., and Osborn, H. B. (1980). “Reciprocal-distance estimate of point rainfall.” J. Hydr. Div., 106(HY7), 1242–1246.
Singh, V. P. (1988). “Hydrologic systems.” Watershed Modeling, Vol. II, Prentice-Hall, Englewood Cliffs, NJ.
Sivakumar, B., and Berndtsson, R. (2010). Advances in data-based approaches for hydrologic modeling and forecasting, World Scientific, Toh Tuck Link, Singapore.
Smith, A. (1996). “Anthropological research on hazards and disasters.” Annual review of anthropology, 25, 303–328.
Smith, J. A. (1993). “Precipitation.” Handbook of Hydrology, Maidment, D. R.ed., McGraw-Hill, New York.
UN/ISDR. (2004). “Living with risk: A global review of disaster reduction initiatives.” United Nations Inter-Agency Secretariat of the International Strategy for Disaster Reduction, 358.
World Meteorological Organization (WMO). (1992). “Simulated real-time intercomparison of hydrological models.”, Geneva.
World Meteorological Organization-Flood Forecasting Initiative (WMO-FFI). (2003). 〈http://www.wmo.int/pages/prog/hwrp/FloodForecastingInitiative.html〉 (Jan. 29, 2008).
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Published In
Journal of Hydrologic Engineering
Volume 17 • Issue 10 • October 2012
Pages: 1123 - 1140
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© 2012 American Society of Civil Engineers.
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Received: Jan 15, 2011
Accepted: Dec 14, 2011
Published online: Dec 23, 2011
Published in print: Oct 1, 2012
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