https://doi.org/10.4081/jlimnol.2020.1981

Using remote sensing and numerical modelling to quantify a turbidity discharge event in Lake Garda

Vol. 80 No. 1 (2021)
Submitted: 3 August 2020
Accepted: 23 September 2020
Published: 1 October 2020
Adige-Garda spillway, SPM concentration, water quality monitoring, Sentinel-2, WRF Delft3D, atmosphere-lake simulation
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Authors

Nicola Ghirardi
nicola.ghirardi93@gmail.com
https://orcid.org/0000-0002-5006-9853
Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan , Italy.
Marina Amadori
https://orcid.org/0000-0001-8810-8478
Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan , Italy.
Gary Free
Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan , Italy.
Lorenzo Giovannini
https://orcid.org/0000-0003-1650-0344
Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, Italy.
Marco Toffolon
https://orcid.org/0000-0001-6825-7070
Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, Italy.
Claudia Giardino
Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan , Italy.
Mariano Bresciani
https://orcid.org/0000-0002-7185-8464
Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan , Italy.

We investigate the effect of the Adige-Garda spillway opening on the 03/03/2020 on Lake Garda using numerical modelling and maps of Suspended Particulate Matter (SPM) concentration. SPM maps are obtained from Sentinel-2 images processed using the BOMBER bio-optical model. Three satellite images are examined: 28/02/2020, 04/03/2020 and 07/03/2020. Maps indicate a significant increase in SPM concentrations, especially in the northern part of the lake close to the hydraulic tunnel outlet. Results are consistent with the modelled flow field. Remote sensing effectively captures the event’s spatial and temporal variation, while numerical modelling explains and corroborates the observed patterns.

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Edited by

Diego Fontaneto, CNR IRSA, Verbania, Italy
Marina Amadori, Institute for Electromagnetic Sensing of the Environment, National Research Council, Milan

Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento

How to Cite

Ghirardi, Nicola, Marina Amadori, Gary Free, Lorenzo Giovannini, Marco Toffolon, Claudia Giardino, and Mariano Bresciani. 2020. “Using Remote Sensing and Numerical Modelling to Quantify a Turbidity Discharge Event in Lake Garda”. Journal of Limnology 80 (1). https://doi.org/10.4081/jlimnol.2020.1981.
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