Multicriteria Evaluation Approach for Assessing Parametric Uncertainty during Extreme Peak and Low Flow Conditions over Snow Glaciated and Inland Catchments
Publication: Journal of Hydrologic Engineering
Volume 21, Issue 1
Abstract
This paper examines model uncertainties associated with streamflow by characterizing it into extreme high (peak) flows and low flows in two different catchments, viz. a snowmelt-induced hilly catchment (Satluj) and an inland catchment (Tungabhadra). The streamflow was initially simulated and calibrated using the soil and water assessment tool (SWAT) model and SWAT CUP (calibration and uncertainty program) based sequential uncertainty fitting approach (SUFI2) by analyzing 14 different hydrological parameters. The multiple criteria evaluation was based on the multiple linear regression equations and noncommensurable measures of information derived from river flow series by means of a number of sequential time-series processing tasks, including separation of the river flow series into extreme peak flows and low-flow hydrograph periods. A reliable set of rules for model calibration was applied to all linear-regression-based objective functions. The authors found that extreme peak flow conditions were more critical than low-flow conditions and that the streamflow corresponding to the snowmelt process was more uncertain. Factors such as temperature (p-value∼0.027) and snowmelt (p-value∼0.000) were identified as sensitive parameters which showed large influence on the calibration parameters for mountainous hilly terrain conditions. Overall, calibration of the SWAT modeling was found more reliable for the Tungabhadra catchment in both extreme peak flow and low flow simulations whereas the model performance was slightly complex for the snowmelt-induced Satluj catchment, especially during extreme peak flow events.
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Acknowledgments
The authors sincerely thank the India-WRIS site (www.india-wris.nrsc.gov.in) and Central Water Commission (New-Delhi, India) for providing the necessary data that have been used in this current research work.
References
Abbaspour, K. C., et al. (2007). “Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT.” J. Hydrol, 333(2–4), 413–430.
Abbaspour, K. C. (2011). “SWAT-CUP4: SWAT calibration and uncertainty programs—A user manual.” Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dubendorf, Switzerland.
Arnold, J. G., and Allen, P. M. (1999). “Validation of automated methods for estimating baseflow and ground water recharge from streamflow records.” J. Am. Water Resour. Assoc., 35(2), 411–424.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R. (1998). “Large area hydrologic modeling and assessment. Part I: Model development.” J. Am. Water Resour. Assoc., 34(1), 73–89.
Bera, A. K., Singh, V., Bankar, N., Salunkhe, S. S., and Sharma, J. R. (2013). “Watershed delineation in flat terrain of Thar desert region of north west India: A semi-automated approach using DEM.” J. Indian Soc. Remote Sens., 42(1), 187–199.
Beven, K., and Binley, A. (1992). “The future of distributed models-model calibration and uncertainty prediction.” Hydrol. Process., 6(3), 279–298.
Bindoff, N. L., et al. (2007). “Observations: Oceanic climate change and sea level.” Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Rep. of the Intergovernmental Panel on Climate, Cambridge University Press, New York.
Box, G. E. P., and Cox, D. R. (1964). “An analysis of transformations.” J. R. Stat. Soc., 26, 211–243.
Chow, V. T., Maidment, D. R., and Mays, L. W. (2010). Applied hydrology, McGraw Hill Edition, New York.
FAO. (2007). “The digitized soil map of the world and derived soil properties (version 3.6) FAO land and water digital media series 1.” Rome.
Fontaine, T. A., Cruickshank, T. S., and Arnold, J. G. (2002). “Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT).” J. Hydrol., 262(1–4), 209–223.
Furey, P. R., and Gupta, V. K. (2001). “A physically based filter for separating base flow from streamflow time series.” Water Resour. Res., 37(11), 2709–2722.
Ghosh, S., and Dutta, S. (2010). “Impact of climate and land use changes on the flood characteristics of the Brahmaputra basin.” Proc., National Conf. on Hydraulics, Manchester Metropolitan Univ., England, U.K.
GLCF. (2005). “Shuttle radar topography mission (SRTM) technical guide.” Univ. of Maryland, College Park, MD.
Gosain, A. K., Rao, S., and Basuray, D. (2006). “Climate change impact assessment on hydrology of Indian river basins.” Current Sci., 90(3), 346–353.
Gosling, S., Taylor, R. G., Arnell, N., and Todd, M. C. (2011). “A comparative analysis of projected impact of climate change on river runoff from global and catchment scale hydrological models.” Hydrol. Earth Syst. Sci., 15(1), 279–294.
Goyal, M. K., and Ojha, C. S. P. (2012). “Downscaling of surface temperature for lake catchment in arid region in India using linear multiple regression and neural networks.” Int. J. Climatol., 32(4), 552–566.
Gupta, H. V., Sorooshian, S., and Yapo, P. O. (1998). “Toward improved calibration of hydrologic models: Multiple and non-commensurable measures of information.” Water Resour. Res., 34(4), 751–763.
Holt, M. M., and Shah, B. V. (1982). “SURREGR, standard errors of regression coefficients from sample survey data.” Research Triangle Institute, Bloomberg, NC.
IPCC (Intergovernmental Panel on Climate Change). (2007). “Climate change 2007: Impact, adaptation and vulnerability.” Cambridge University Press, Cambridge, NY, 470–506.
Jacobson, C. R. (2011). “Identification and quantification of the hydrological impacts of imperviousness in urban catchments: A review.” J. Environ. Manage., 92(6), 1438–1448.
Jain, S. K., Tyagi, J., and Singh, V. (2010). “Simulation of runoff and sediment yield for a Himalayan watershed using SWAT.” J. Water Resour. Prot., 2(3), 267–281.
Krause, P., Boyle, D. P., and Base, F. (2005). “Comparison of different efficiency criteria for hydrological model assessment.” Adv. Geosci., 5, 89–97.
Kuczera, G. (1983). “Improved parameter inference in catchment models: 1. Evaluating parameter uncertainty.” Water Resour. Res., 19(5), 1151–1162.
Laloy, E., and Bielders, C. L. (2009). “Modelling intercrop management impact on runoff and erosion in a continuous maize cropping system: Part I. Model description, global sensitivity analysis and Bayesian estimation of parameter identifiability.” Eur. J. Soil Sci., 60(6), 1005–1021.
Lim, K. J., et al. (2005). “Automated web GIS based hydrograph analysis tool.” J. Am. Water Resour. Assoc., 41(6), 1407–1416.
Ludwig, R., et al. (2009). “The role of hydrological model complexity and uncertainty in climate change impact assessment.” Adv. Geosci., 21, 63–71.
Mall, R. K., Gupta, A., Singh, R., Singh, R. S., and Rathore, L. S. (2006). “Water resources and climate change: An Indian perspective.” Curr. Sci., 90(12), 1610–1626.
Maurer, E. P., Brekke, L. D., and Pruitt, T. (2010). “Contrasting lumped and distributed hydrology models for estimating climate change impacts on California watersheds.” J. Am. Water Resour. Assoc., 46(5), 1024–1035.
Montanari, A., and Brath, A. (2004). “A stochastic approach for assessing the uncertainty of rainfall-runoff simulations.” Water Resour. Res., 40(1).
Moran, P. A. P. (1970). “Simulation and evaluation of complex water system operations.” Water Resour. Res., 6(6), 1737–1742.
Narsimlu, B., Gosain, A. K., and Chahar, B. R. (2013). “Assessment of future climate change impacts on water resources of upper Sind river basin, India using SWAT model.” Water Resour. Manage., 27(10), 3647–3662.
Nash, J., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. Part I—A discussion of principles.” J. Hydrol., 10(3), 282–290.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R. (2011). “Soil and water assessment tool, theoretical documentation, version 2009.”, Texas A & M Univ., College Station, TX.
Osborne, J. W. (2010). “Improving your data transformations: Applying the Box-Cox transformation.” Pract. Assess. Res. Eval., 15(12), 1–9.
Oudin, L., Andréassian, V., Mathevet, T., Perrin, C., and Michel, C. (2006). “Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations.” Water Resour. Res., 42(7).
Pfanneristill, M., Gause, B., and Fohrer, N. (2014). “Smart low flow signature metrics for an improved overall performance evaluation of hydrological models.” J. Hydrol., 510, 447–458.
Rouhani, H., Willems, P., Wyseure, G., and Feyen, J. (2007). “Parameter estimation in semi-distributed catchment modelling using a multi-criteria objective function.” Hydrol. Process., 21(22), 2998–3008.
Singh, V., Bankar, N., Salunkhe, S. S., Bera, A. K., and Sharma, J. R. (2013). “Hydrological streamflow modeling on Tungabhadra basin: Parameterization and uncertainty analysis using SWAT CUP.” Curr. Sci., 104(9), 1187–1199.
Smith, M. B., et al. (2012). “Results of the DMIP 2 Oklahoma experiments.” J. Hydrol., 418–419, 17–48.
Sorooshian, S., and Gupta, H. V. (1983). “Automatic calibration of conceptual rainfall-runoff models: The question of parameter observability and uniqueness.” Water Resour. Res., 19(1), 260–268.
Van Steenbergen, N., and Willems, P. (2012). “Method for testing the accuracy of rainfall–runoff models in predicting peak flow changes due to rainfall changes, in a climate changing context.” J. Hydrol., 414–415, 425–434.
Vansteenkiste, T., et al. (2014). “Intercomparison of five lumped and distributed models for catchment runoff and extreme flow simulation.” J. Hydrol., 511(2014), 335–349.
Velazquez, J. A., et al. (2012). “An ensemble approach to assess hydrological models’ contribution to uncertainties in the analysis of climate change impact on water resources.” Hydrol. Earth Syst. Sci. Discuss., 7441–7474.
Vrugt, J. A., Gupta, H. V., Bouten, W., and Sorooshian, S. (2003). “A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters.” Water Resour. Res., 39(8).
Westerberg, I. K., et al. (2011). “Calibration of hydrological models using flow-duration curves.” Hydrol. Earth Syst. Sci., 15(7), 2205–2227.
Willems, P. (2014). “Top-down methodology for rainfall-runoff modelling and evaluation of hydrological extremes.” EGU General Assembly Conf., 12731.
Willems, P., Mora, D., Vansteenkiste, Th., TeferiTaye, M., and Van Steenbergen, N. (2014). “Parsimonious rainfall-runoff model construction supported by time series processing and validation of hydrological extremes. Part 2: Intercomparison of models and calibration approaches.” J. Hydrol., 510, 591–609.
Willmott, C. J. (1981). “On the validation of models.” Phys. Geog., 2(2), 184–194.
Willmott, C. J. (1984). “On the evaluation of model performance in physical geography: Spatial statistics and models.” Dordrencht, 40, 443–460.
Yang, H., Faramarzi, M., and Abbaspour, K. C. (2013). “Assessing freshwater availability in Africa under the current and future climate with focus on drought and water scarcity.” 20th Int. Congress on Modelling and Simulation, Adelaide, Australia, 1–6.
Yang, J., Reichert, P., Abbaspour, K. C., and Yang, H. (2007). “Hydrological modelling of the Chaohe basin in China: Statistical model formulation and Bayesian inference.” J. Hydrol., 340(3–4), 167–182.
Zhang, Y. K., and Schilling, K. E. (2006). “Increasing streamflow and baseflow in Mississippi River since the 1940s: Effect of land use change.” J. Hydrol., 324(1–4), 412–422.
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Journal of Hydrologic Engineering
Volume 21 • Issue 1 • January 2016
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© 2015 American Society of Civil Engineers.
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Received: May 20, 2014
Accepted: Feb 23, 2015
Published online: Jun 10, 2015
Discussion open until: Nov 10, 2015
Published in print: Jan 1, 2016
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