Load estimation with uncertainties from opportunistic sampling data – A semiparametric approach

Wang, You‐Gan; Kuhnert, Petra M.; Henderson, Brent

doi:10.1016/j.jhydrol.2010.11.003

Cited by 56 publications

(72 citation statements)

References 27 publications

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“…Such rating curves are commonly used for predicting discharge from stage and phosphorus concentrations from, for example, discharge (e.g. Wang et al, 2011). In the case of nitrate the rating curve approach is used to assess the potential for bias and variability between the deterministically corrected hourly average concentration series and the instantaneous estimates.…”

Section: Predicting the Instantaneous Loadmentioning

confidence: 99%

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A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

Kulasova

Smith

Beven

et al. 2012

Journal of Hydrology

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Section: Predicting the Instantaneous Loadmentioning

confidence: 99%

“…Ferguson, 1986;Koch and Smillie, 1986;Asselmann, 2000;Moatar and Meybeck, 2006) while allowing for different patterns within storms has been shown to increase the accuracy of load estimation (e.g. Wang et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

Kulasova

Smith

Beven

et al. 2012

Journal of Hydrology

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“…The annual loads thus amounted to 6575 Mg in 2010 and 5839 Mg in 2011. Finally, if sediment loads were estimated not by bootstrapping, but directly from the data, then the results were around 10 % lower com- pared to the first estimates, at 5607 and 4997 Mg, respectively, in 2010 and2011. In all three approaches the difference between the 2 years remained consistent and all estimates were within the bounds of the confidence intervals, both for those calculated by modeling error and those calculated by adding half the variance before back-transformation.…”

Section: Rating Curves and Load Estimatesmentioning

confidence: 85%

“…It does, however, limit the applicability of methods that use the lognormality assumption of the load to estimate a variance for the load. This assumption was made, for example, by Wang et al (2011) in using the delta method as an alternative way to assess uncertainty on annual sediment load estimates.…”

Section: Load Estimates Data Transformations and Biasmentioning

confidence: 99%

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

Slaets

Piepho

Schmitter

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Load estimates are more informative than constituent concentrations alone, as they allow quantification of on-and off-site impacts of environmental processes concerning pollutants, nutrients and sediment, such as soil fertility loss, reservoir sedimentation and irrigation channel siltation. While statistical models used to predict constituent concentrations have been developed considerably over the last few years, measures of uncertainty on constituent loads are rarely reported. Loads are the product of two predictions, constituent concentration and discharge, integrated over a time period, which does not make it straightforward to produce a standard error or a confidence interval. In this paper, a linear mixed model is used to estimate sediment concentrations. A bootstrap method is then developed that accounts for the uncertainty in the concentration and discharge predictions, allowing temporal correlation in the constituent data, and can be used when data transformations are required. The method was tested for a small watershed in Northwest Vietnam for the period 2010-2011. The results showed that confidence intervals were asymmetric, with the highest uncertainty in the upper limit, and that a load of 6262 Mg year −1 had a 95 % confidence interval of (4331, 12 267) in 2010 and a load of 5543 Mg an interval of (3593, 8975) in 2011. Additionally, the approach demonstrated that direct estimates from the data were biased downwards compared to bootstrap median estimates. These results imply that constituent loads predicted from regression-type water quality models could frequently be underestimating sediment yields and their environmental impact.

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“…Statistical frameworks that incorporate load uncertainty would, however, need to be employed to reliability detect and quantify water quality change (see Wang et al, 2011). The results of this study also clearly highlight the critical need for catchment monitoring programs to allocate a substantial proportion of annual sample numbers (e.g.…”

Section: Detection Of End-of-catchment Trends In Herbicide Water Qualitymentioning

confidence: 90%

Dynamics of herbicide transport and partitioning under event flow conditions in the lower Burdekin region, Australia

Davis

Lewis

Bainbridge

et al. 2012

Marine Pollution Bulletin

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Load estimation with uncertainties from opportunistic sampling data – A semiparametric approach

Cited by 56 publications

References 27 publications

A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

Dynamics of herbicide transport and partitioning under event flow conditions in the lower Burdekin region, Australia

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