Non-point source water quality management under input information uncertainty

Yulianti, J.S.; Lence, Barbara J.; Johnson, Gary V.; Takyi, Andrews K.

doi:10.1006/jema.1998.0257

Cited by 23 publications

(9 citation statements)

References 3 publications

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“…One way to deal with this issue is to use random variables as the input data, rather than the conventional form of fixed values (Yulianti et al, 1999). Currently, parameter uncertainty is a hot topic in the uncertainty research field (Shen et al, 2008;Sudheer et al, 2011).…”

Section: Z Y Shen Et Al: a Case Study Of Swat Model Applied To Thrmentioning

confidence: 99%

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Shen

Chen

2012

Hydrol. Earth Syst. Sci.

169

132

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Abstract. The calibration of hydrologic models is a worldwide challenge due to the uncertainty involved in the large number of parameters. The difficulty even increases in a region with high seasonal variation of precipitation, where the results exhibit high heteroscedasticity and autocorrelation. In this study, the Generalized Likelihood Uncertainty Estimation (GLUE) method was combined with the Soil and Water Assessment Tool (SWAT) to quantify the parameter uncertainty of the stream flow and sediment simulation in the Daning River Watershed of the Three Gorges Reservoir Region (TGRA), China. Based on this study, only a few parameters affected the final simulation output significantly. The results showed that sediment simulation presented greater uncertainty than stream flow, and uncertainty was even greater in high precipitation conditions (from May to September) than during the dry season. The main uncertainty sources of stream flow came from the catchment process while a channel process impacts the sediment simulation greatly. It should be noted that identifiable parameters such as CANMX, ALPHA BNK, SOL K could be obtained with an optimal parameter range using calibration method. However, equifinality was also observed in hydrologic modeling in TGRA. This study demonstrated that care must be taken when calibrating the SWAT model with non-identifiable parameters because these may lead to equifinality of the parameter values. It was anticipated this study would provide useful information for hydrology modeling related to policy development in the Three Gorges Reservoir Region (TGRA) and other similar areas.

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Section: Z Y Shen Et Al: a Case Study Of Swat Model Applied To Thrmentioning

confidence: 99%

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Shen

Chen

2012

Hydrol. Earth Syst. Sci.

169

132

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“…When high sector barriers hinder the introduction of green practices, managers perceive higher levels of environmental uncertainty and need to assume high risk (Yulianti et al, 1999). Environmental uncertainty can lead to an erroneous interpretation of the future evolution of environmental legislation (Buysse and Verbeke, 2003) and also to inaccurate estimates of either demand or the foreseeable evolution of environmental technology (Shepherd and Shanley, 1998).…”

Section: Environmental Uncertainty and Environmental Management Percementioning

confidence: 99%

Environmental uncertainty and environmental management perception: A multiple case study

López‐Gamero

Molina‐Azorín

Claver‐Cortés

2011

Journal of Business Research

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“…[2,3,10,15,16,19,27]). Jaffe and Ferrara [13] and Yulianti et al [32] also applied uncertainty analysis to model the behavior of contaminated sediments in the water column. More recently, Preston and Jones [21] assessed the sensitivity of the risk of runoff changes to various sources of uncertainty, including global mean temperature, using uncertainty analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

Assessment of uncertainty sources in water quality modeling in the Niagara River

Franceschini

Tsai

2010

Advances in Water Resources

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Non-point source water quality management under input information uncertainty

Cited by 23 publications

References 3 publications

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China

Environmental uncertainty and environmental management perception: A multiple case study

Assessment of uncertainty sources in water quality modeling in the Niagara River

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