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Flow-Proportional Large Volume Composite Sampling for Substance Flux Assessment

This study explores the use of flow-proportional large volume sampling to assess substance fluxes in the Kraichbach Catchment. The results provide reliable mean fluxes and capture "hot moments" of transport, improving the accuracy of sediment input models.

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Flow-Proportional Large Volume Composite Sampling for Substance Flux Assessment

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  1. EGU - 11th of April 2019 Flow-proportional large volume composite sampling to assess substance fluxes A. Wagner; S. Hilgert; R. T. Kishi; S. Drummond; L. Kiemle; J.P. Nickel; K. Sotiri and S. Fuchs

  2. Large Volume Sampler

  3. Kraichbach Catchment 160 km² ~50% arableland loesssoils gentleslopes meanflow: 1.1 m³/s

  4. Dischargeand large volumesampling

  5. 32 large volume composite samples

  6. LVS – Adapted Rating Curve • Qmax: best predictor for mean SSC •  applied to 2009-2014 discharge • Time variable, volume constant: ? ~ 2500 t a-1 ~ 16 t a-1km-2 Zheng (2018)

  7. Sediment input Sediment input, annualaverage: 939 t a-1from “connected“ arableland (~40 km² or 50% of total) 55 t a-1frompastures, orchards, forests 58 t a-1wastewatertreatmentplants 49 t a-1combinedseweroverflows ~1100 t a-1total ~ 2500 t a-1 Large Volume Sampler

  8. Sediment flux vs. eventmagnitude • 1976-2018 dischargedata • >1300 events; Qmax • Highest 10%  50% offlux

  9. LVS – Adapted Rating Curve ?

  10. Total phosphorous

  11. Emission modelvalidation Total P oPO4-P

  12. Conclusions • Large Volume Composite Sampling… • …provides reliable mean fluxes, esp. for particulate substances • …captures “hot moments“ of transport • …providessufficient materialforanalysisofmanyparameters • …reducesrandomerrorof individual grab sampling • …worksunsupervised, also forcombinedseweroverflows • 10% ofevents – 50% ofannualsedimentflux • high floweventsunderestimated in sedimentinputmodel • Fingerprinting / sourcedeterminationneeded

  13. Thankyou & Team Facilitatedby Adrian Wagner KIT Stephan Hilgert KIT Regina Kishi UFPR Sabrina Drummond UFPR Lisa Kiemle KIT Jan Philip Nickel KIT Klajdi Sotiri KIT Stephan Fuchs KIT

  14. References Fuchs, S.; Kemper, M.; Nickel, J.P. (2019) Feststoffe in der Regenwasserbehandlung. In: 52. Essener Tagung für Wasserwirtschaft vom 20 – 22. März 2019, Aachen. Wasser und Gesundheit, J. Pinnekamp (Hg.): Gewässerschutz, Wasser, Abwasser 250, 25/1-14. Fuchs, S., Kaiser, M., Kiemle, L., Kittlaus, S., Rothvoß, S., Toshovski, S., Wagner, A., Wander, R., Weber, T. and Ziegler, S. 2017 Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System. Water, 9(4), 239. Fuchs, S., Mayer, I., Haller, B. and Roth, H. 2014 Lamella settlers for storm water treatment - performance and design recommendations. Water Science and Technology, 69(2), 278–285. Zheng, M. 2018 Assessment of sediment and nutrient fluxes from discharge measurements by means of Large Volume Sampling and other quantification approaches for the Kraichbach catchment. Master Thesis, Institute for Water and River Basin Management, Karlsruhe Institute for Technology, Karlsruhe.

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