Quantifying uncertainty on sediment loads using bootstrap confidence intervals.
@article{Slaets2016QuantifyingUO, title={Quantifying uncertainty on sediment loads using bootstrap confidence intervals.}, author={J. Slaets and H. Piepho and P. Schmitter and T. Hilger and G. Cadisch}, journal={Hydrology and Earth System Sciences}, year={2016}, volume={21}, pages={571-588} }
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… CONTINUE READING
7 Citations
Sediment trap efficiency of paddy fields at the watershed scale in a mountainous catchment in northwest Vietnam
- Environmental Science
- 2015
- 4
- PDF
Sediment-associated organic carbon and nitrogen inputs from erosion and irrigation to rice fields in a mountainous watershed in Northwest Vietnam
- Environmental Science
- Biogeochemistry
- 2016
- 1
Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields
- Environmental Science
- 2020
- 8
- PDF
Data generation in order to replace lost flow data using Bootstrap method and regression analysis
- Computer Science
- 2018
- 1
- PDF
References
SHOWING 1-10 OF 56 REFERENCES
Quantifying total suspended sediment export from the Burdekin River catchment using the loads regression estimator tool
- Environmental Science, Geology
- 2012
- 65
- PDF
Applying bootstrap resampling to quantify uncertainty in fluvial suspended sediment loads estimated using rating curves
- Environmental Science, Geology
- 2008
- 46
Uncertainties in data and models to describe event dynamics of agricultural sediment and phosphorus transfer.
- Environmental Science, Medicine
- Journal of environmental quality
- 2009
- 73
A framework to estimate sediment loads using distributions with covariates: Beaurivage River watershed (Québec, Canada)
- Environmental Science
- 2008
- 13
A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data
- Environmental Science
- 2012
- 15
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
- Environmental Science, Geology
- 2012
- 238
Estimating storm discharge and water quality data uncertainty: A software tool for monitoring and modeling applications
- Environmental Science, Computer Science
- Environ. Model. Softw.
- 2009
- 86
- PDF