2021
DOI: 10.3390/w13243649
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Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters

Abstract: For particle-bound substances such as phosphorus, erosion is an important input pathway to surface waters. Therefore, knowledge of soil erosion by water and sediment inputs to water bodies at high spatial resolution is essential to derive mitigation measures at the regional scale. Models are used to calculate soil erosion and associated sediment inputs to estimate the resulting loads. However, validation of these models is often not sufficiently possible. In this study, sediment input was modeled on a 10 × 10 … Show more

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Cited by 2 publications
(3 citation statements)
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“…The results can be used to validate modeled data. For the Kraichbach river, this is done by Allion et al [12] to verify the modeled sediment input in the catchment.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The results can be used to validate modeled data. For the Kraichbach river, this is done by Allion et al [12] to verify the modeled sediment input in the catchment.…”
Section: Discussionmentioning
confidence: 99%
“…Both parameters are known to be the cause for not achieving a good ecological status in surface waters in the respected region. The results of this study have been used by Allion et al [12] who separated emissions of different pathways (agriculture, sewer systems) in the catchment and thus verify modeled erosion inputs into the river.…”
Section: Introductionmentioning
confidence: 99%
“…The duration of the pump activation and The LVS is a flow-proportional automatic sampler that collects mixed samples of approximately 1000 L from the river. It consists of a stainless steel tank of 1000 L, a gauging station, a pump, a fill-height sensor, a three-way valve, and a control unit, which operates the automatic sampler [19,20]. Initially, the system calculates the discharge of the river.…”
Section: Estimation Of Riverine Tp Loadmentioning
confidence: 99%