Uncertainty and its propagation estimation for an integrated water system model: An experiment from water quantity to quality simulations

Abbaspour, 2007, Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413, 10.1016/j.jhydrol.2006.09.014 Adrian, 1998, Oxygen sag equation for second-order bod decay, Water Res., 32, 840, 10.1016/S0043-1354(97)00259-5 Arnold, 1998, Large-area hydrologic modeling and assessment: Part I. Model development, J. Am. Water Resour. Assoc., 34, 73, 10.1111/j.1752-1688.1998.tb05961.x Arsenault, 2015, Parameter dimensionality reduction of a conceptual model for streamflow prediction in Canadian, snowmelt dominated ungauged basins, Adv. Water Resour., 85, 27, 10.1016/j.advwatres.2015.08.014 Bates, 2001, A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall–runoff modeling, Water Resour. Res., 37, 937, 10.1029/2000WR900363 Beck, 1987, Water quality modeling: a review of the analysis of uncertainty, Water Resour. Res., 23, 1393, 10.1029/WR023i008p01393 Becker, 1988 Beven, 1992, Future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279, 10.1002/hyp.3360060305 Beven, 2001, Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11, 10.1016/S0022-1694(01)00421-8 Blasone, 2008, Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling, J. Hydrol., 353, 18, 10.1016/j.jhydrol.2007.12.026 China’s national standard Current land use condition classification (GB/T21010–2007), 2007. General administration of quality supervision, inspection and quarantine of China and Standardization administration of China, Beijing, China (In Chinese). Crosetto, 2001, Uncertainty propagation in models driven by remotely sensed data, Remote Sens. Environ., 76, 373, 10.1016/S0034-4257(01)00184-5 Dai, 2003, The common land model, Bull. Amer. Meteor. Soc., 84, 1013, 10.1175/BAMS-84-8-1013 Dotto, 2012, Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling, Water Res., 46, 2545, 10.1016/j.watres.2012.02.009 Duan, 1994, Optimal use of the SCEUA global optimization method for calibrating watershed models, J. Hydrol., 158, 265, 10.1016/0022-1694(94)90057-4 Duan, 1992, Effective and efficient global optimization for conceptual rainfall–runoff models, Water Resour. Res., 28, 1015, 10.1029/91WR02985 Efron, 1979, Bootstrap methods: another look at the jackknife, Ann. Statist., 7, 1, 10.1214/aos/1176344552 Engeland, 2002, Bayesian estimation of parameters in a regional hydrological model, Hydrol. Earth Syst. Sci, 6, 883, 10.5194/hess-6-883-2002 Engeland, 2005, Assessing uncertainties in a conceptual water balance model using Bayesian methodology, Hydrol. Sci. J., 50, 45, 10.1623/hysj.50.1.45.56334 Fiener, 2011, Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—a review, Earth-Sci. Rev., 106, 92, 10.1016/j.earscirev.2011.01.004 Fowler, 2016, Simulating runoff under changing climatic conditions: revisiting an apparent deficiency of conceptual rainfall-runoff models, Water Resour. Res., 52, 1820, 10.1002/2015WR018068 Freni, 2011, Assessment of the integrated urban water quality model complexity through identifiability analysis, Water Res., 45, 37, 10.1016/j.watres.2010.08.004 Freni, 2008, Uncertainty in urban stormwater quality modelling: the effect of acceptability threshold in the GLUE methodology, Water Res., 42, 2061, 10.1016/j.watres.2007.12.014 Freni, 2009, Assessment of data availability influence on integrated urban drainage modelling uncertainty, Environ. Modell. Softw., 24, 1171, 10.1016/j.envsoft.2009.03.007 Gabellani, 2007, Propagation of uncertainty from rainfall to runoff: a case study with a stochastic rainfall generator, Adv. Water Resour., 30, 2061, 10.1016/j.advwatres.2006.11.015 Gallagher, 2007, Parameter estimation and uncertainty analysis for a watershed model, Environ. Modell. Softw., 22, 1000, 10.1016/j.envsoft.2006.06.007 Gong, 2011, Parameter uncertainty analysis in watershed total phosphorus modeling using the GLUE methodology, Agric. Ecosyst. Environ., 142, 246, 10.1016/j.agee.2011.05.015 GWSP, 2005 Hamrick, 1992, 317 Harmel, 2006, Practical guidance for discharge and water quality data collection on small watersheds, Trans. ASABE, 49, 937, 10.13031/2013.21745 Hirsch, 2015, A bootstrap method for estimating uncertainty of water quality trends, Environ. Modell. Softw., 73, 148, 10.1016/j.envsoft.2015.07.017 Hu, 2015, Uncertainty assessment of estimation of hydrological design values, Stoch. Env. Res. Risk A, 29, 501, 10.1007/s00477-014-0979-z Jia, 2018, Bayesian framework of parameter sensitivity, uncertainty, and identifiability analysis in complex water quality models, Environ. Modell. Softw., 104, 13, 10.1016/j.envsoft.2018.03.001 Jin, 2010, Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model, J. Hydrol., 383, 147, 10.1016/j.jhydrol.2009.12.028 Jung, 2015, Downstream alteration of the composition and biodegradability of particulate organic carbon in a mountainous, mixed land-use watershed, Biogeochemistry, 122, 79, 10.1007/s10533-014-0032-9 Leta, 2015, Assessment of the different sources of uncertainty in a swat model of the river senne (Belgium), Environ. Modell. Softw., 68, 129, 10.1016/j.envsoft.2015.02.010 Li, 1992, A model of nitrous oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity, J. Geophys. Res., 97, 9759, 10.1029/92JD00509 Li, 2010, Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models, J. Hydrol., 390, 210, 10.1016/j.jhydrol.2010.06.044 Li, 2010, Analysis of parameter uncertainty in semidistributed hydrological models using bootstrap method: a case study of SWAT model applied to Yingluoxia watershed in northwest China, J. Hydrol., 385, 76, 10.1016/j.jhydrol.2010.01.025 Liang, 1994, A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99, 14415, 10.1029/94JD00483 Marttila, 2010, Managing runoff, water quality and erosion in peatland forestry by peak runoff control, Ecol. Eng., 36, 900, 10.1016/j.ecoleng.2010.04.002 Montanari, 2004, A stochastic approach for assessing the uncertainty of rainfall–runoff simulations, Water Resour. Res., 40, W01106, 10.1029/2003WR002540 Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885, 10.13031/2013.23153 Novic, 2018, Understanding the uncertainty of estimating herbicide and nutrient mass loads in a flood event with guidance on estimator selection, Water Res., 132, 99, 10.1016/j.watres.2017.12.055 Paola, 2006, Toward a unified science of the Earth’s surface: opportunities for synthesis among hydrology, geomorphology, geochemistry, and ecology, Water Resour. Res., 42, W03S10, 10.1029/2005WR004336 Parajuli, 2013, Assessing the impacts of crop-rotation and tillage on crop yields and sediment yield using a modeling approach, Agric. Water Manage., 119, 32, 10.1016/j.agwat.2012.12.010 Quinton, 2010, The impact of agricultural soil erosion on biogeochemical cycling, Nat. Geosci., 3, 311, 10.1038/ngeo838 R Development Core Team, 2010 Refsgaard, 2006, A framework for dealing with uncertainty due to model structure error, Adv. Water Resour., 29, 1586, 10.1016/j.advwatres.2005.11.013 Shao, 2012, Gauge based precipitation estimation and associated model and product uncertainties, J. Hydrol., 444–445, 100, 10.1016/j.jhydrol.2012.04.009 Shao, 2014, Uncertainty estimation with bias-correction for flow series based on rating curve, J. Hydrol., 510, 137, 10.1016/j.jhydrol.2013.12.025 Sharpley, A. N., Williams, J. R., 1990. EPIC-erosion/productivity impact calculator: 1. Model documentation. Technical Bulletin- United States Department of Agriculture, Agric. Res. Service, Washington D.C., USA. Talebizadeh, 2010, Uncertainty analysis in sediment load modeling using ANN and SWAT model, Water Resour. Manage., 24, 1747, 10.1007/s11269-009-9522-2 Tesoriero, 2009, Identifying pathways and processes affecting nitrate and orthophosphate inputs to streams in agricultural watersheds, J. Environ. Qual., 38, 1892, 10.2134/jeq2008.0484 Todini, 2007, Hydrological catchment modelling: past, present and future, Hydrol. Earth Syst. Sci., 11, 468, 10.5194/hess-11-468-2007 Wang, 2009, Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: a case study of the Chaobai River basin in northern China, Water Resour. Res., 45, W00A11, 10.1029/2007WR006768 Willems, 2008, Quantification and relative comparison of different types of uncertainties in sewer water quality modeling, Water Res., 42, 3539, 10.1016/j.watres.2008.05.006 Wucchini, 1988, On the application of the Bootstrap to assess the risk of deficient annual inflows to a reservoir, Water Resour. Manag., 2, 245, 10.1007/BF00424657 Xu, 2006, Evaluation of seasonal and spatial variations of conceptual hydrological model sensitivity to precipitation data errors, J. Hydrol., 324, 80, 10.1016/j.jhydrol.2005.09.019 Yang, 2007, Bayesian uncertainty analysis in distributed hydrological modelling: a case study in the Thur River basin (Switzerland), Water Resour. Res., 43, W10401, 10.1029/2006WR005497 Yen, 2014, A framework for propagation of uncertainty contributed by parameterization, input data, model structure, and calibration/validation data in watershed modeling, Environ. Modell. Softw., 54, 211, 10.1016/j.envsoft.2014.01.004 Yue, 2002, Assessment of the significance of sample serial correlation by the bootstrap test, Water Resour. Manag., 16, 23, 10.1023/A:1015561427616 Zhang, 2016, A balanced calibration of water quantity and quality by multi-objective optimization for integrated water system model, J. Hydrol., 538, 802, 10.1016/j.jhydrol.2016.05.001 Zhang, 2016, Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration, Hydrol. Earth Syst. Sci., 20, 529, 10.5194/hess-20-529-2016 Zhang, 2015, Causal analysis on the specified paroxysmal water pollution incidents in Huai River Basin, Environ. Eng. Manag. J., 14, 139, 10.30638/eemj.2015.016 Zucchini, 1989, Bootstrap confidence intervals for design storms from exceedance series, Hydrol. Sci. J., 34, 41, 10.1080/02626668909491307