Event-based calibration of build-up parameters in conceptual water quality models using turbidity data

Evi Vinck; Matej Radinja; Neil Van den Broeck; Margherita Evangelisti; Birgit De Bock; Arnout Roukaerts; Stijn Van Hoey; Niels De Vleeschouwer; Sacha Gobeyn; Dario Frascari; Vittorio Di Federico

doi:10.1016/j.jhydrol.2026.135774

June 1, 2026Journal of HydrologyOpen Access

Event-based calibration of build-up parameters in conceptual water quality models using turbidity data

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Key Points

This study aims to enhance stormwater quality models through calibration using continuous turbidity data.
Used continuous turbidity data for event-based calibration of water quality models.
Analyzed variability in build-up rates across events within the same catchment.
Examined the influence of traffic intensity and wind speed on pollutant build-up dynamics.
Event-based calibration significantly improves representation of urban runoff TSS dynamics.
Build-up rates exhibit strong variability between events, while wash-off parameters remain stable.
Impacts of external factors like traffic and wind speed on pollutant build-up were noted.

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Implication

Reveals improved stormwater model calibration using continuous turbidity data, suggesting enhanced pollutant dynamics representation.

Abstract

• Continuous turbidity data enable event-based calibration of stormwater quality models. • Build-up rates show strong event-to-event variability within the same catchment. • Wash-off parameters remain stable across rainfall events and catchment types. • Traffic intensity and wind speed influence pollutant build-up dynamics. • Event-based calibration improves representation of urban runoff TSS dynamics.

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Cite This Study

Vinck et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc42cdee9eb8c0dce5b73 https://doi.org/10.1016/j.jhydrol.2026.135774

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Event-based calibration of build-up parameters in conceptual water quality models using turbidity data

Key Points

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Implication

Abstract

Discussion

Cite This Study

Event-based calibration of build-up parameters in conceptual water quality models using turbidity data

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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