Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters

Department of Aquatic Environmental Engineering, Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Gotthard-Franz-Str. 3, 76131 Karlsruhe, Germany

VisDat Geodatentechnologie GmbH, Am Ende 14, 01277 Dresden, Germany

Author to whom correspondence should be addressed.

Academic Editor: Aizhong Ye

Water 2021, 13(24), 3649; https://doi.org/10.3390/w13243649

Received: 16 November 2021 / Revised: 14 December 2021 / Accepted: 17 December 2021 / Published: 18 December 2021

(This article belongs to the Special Issue Monitoring, Modelling and Management of Water Quality II)

View Full-Text Download PDF

Browse Figures

Citation Export

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 m grid for a subcatchment of the Kraichbach river in Baden-Wuerttemberg (Germany). In parallel, large-volume samplers (LVS) were operated at the catchment outlet, which allowed a plausibility check of the modeled sediment inputs. The LVS produced long-term composite samples (2 to 4 weeks) over a period of 4 years. The comparison shows a very good agreement between the modeled and measured sediment loads. In addition, the monitoring concept of the LVS offers the possibility to identify the sources of the sediment inputs to the water body. In the case of the Kraichbach river, it was found that around 67% of the annual sediment load in the water body is contributed by rainfall events and up to 33% represents dry-weather load. This study shows that the modeling approaches for calculating the sediment input provide good results for the test area Kraichbach and the transfer for a German wide modeling will produce plausible values. View Full-Text

Keywords: sediment input; erosion; suspended solids; composite samples; large-volume sampler; rating curve

▼ Show Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Share and Cite

MDPI and ACS Style

Allion, K.; Gebel, M.; Uhlig, M.; Halbfass, S.; Bürger, S.; Kiemle, L.; Fuchs, S. Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters. Water 2021, 13, 3649. https://doi.org/10.3390/w13243649

AMA Style

Allion K, Gebel M, Uhlig M, Halbfass S, Bürger S, Kiemle L, Fuchs S. Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters. Water. 2021; 13(24):3649. https://doi.org/10.3390/w13243649

Chicago/Turabian Style

Allion, Katharina, Michael Gebel, Mario Uhlig, Stefan Halbfass, Stephan Bürger, Lisa Kiemle, and Stephan Fuchs. 2021. "Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters" Water 13, no. 24: 3649. https://doi.org/10.3390/w13243649

Find Other Styles

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Abstract views Pdf views Html views

Article Menu

Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Article Access Map by Country/Region

Further Information

Guidelines

MDPI Initiatives

Follow MDPI