Volume estimation of lakes and reservoirs based on aquatic drone surveys: The case study of Tuscany, Italy

• Autorzy: Giambastiani Yamuna , Giusti Riccardo , Cecchi Stefano , Palomba Francesca , Manetti Francesco , Romanelli Stefano , Bottai Lorenzo

Identyfikatory

DOI

10.24425/jwld.2020.134200

• Języki publikacji: EN

Abstrakty

EN

Following flood events and cloudbursts alternating with long drought periods, interest grew in the reservoirs, lakes and water basins in the Tuscany region. In-depth studies are needed to understand the role of water bodies in territorial resilience to climate change. Water volume is the main information to be collected to quantify and monitor their capacity. In this study, a methodology was developed for the estimation of water volume, based on depth measurements taken by sensors with low detection time and costs that can quantify the resource on a regional scale. The depth measuring instrument was a portable sounder with 95 satellite positioning system (Deeper Smart Sonar PRO + (WI-FI + GPS). 204 water bodies were measured. The results indicate that depth is a fundamental parameter to be detected in the field, to obtain the volume with automatic and precise tools. The calculated volume correlates well with the real volume with an R² = 0.94. Elaboration of the results led to a model being developed to estimate the volume, knowing only the lake surface area. The database created can be used to conduct future studies on the dynamics of water resources in relation to climate change. It will also be possible to make comparisons with data obtained from satellite and LiDAR (light detection and ranging) surveys.

Słowa kluczowe

EN

deeper sonar; lake; pond; reservoir; volume model

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2020
• Tom: no. 46
• Strony: 84--96
• Opis fizyczny: Bibliogr. 61 poz., fot., rys., tab.

Twórcy

autor

Giambastiani Yamuna

• CNR-IBE Italian Research Council – Institute of Bioeconomy, Area della Ricerca di Firenze, Via Madonna del Piano n. 10, Edificio D – Piano Primo, 50019 Sesto Fiorentino (FI), Italy

autor

Giusti Riccardo

• CNR-IBE Italian Research Council – Institute of Bioeconomy, Area della Ricerca di Firenze, Via Madonna del Piano n. 10, Edificio D – Piano Primo, 50019 Sesto Fiorentino (FI), Italy

autor

Cecchi Stefano

• CNR-IBE Italian Research Council – Institute of Bioeconomy, Area della Ricerca di Firenze, Via Madonna del Piano n. 10, Edificio D – Piano Primo, 50019 Sesto Fiorentino (FI), Italy

autor

Palomba Francesca

• CNR-Ibimet Italian Research Council – Institute of Biometeorology, Florence, Italy

autor

Manetti Francesco

• Consorzio LAMMA – Environmental Modelling and Monitoring Laboratory for Sustainable Development, Florence, Italy

autor

Romanelli Stefano

• Consorzio LAMMA – Environmental Modelling and Monitoring Laboratory for Sustainable Development, Florence, Italy

autor

Bottai Lorenzo

• Consorzio LAMMA – Environmental Modelling and Monitoring Laboratory for Sustainable Development, Florence, Italy

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).