Emanuela Molinaroli

Dr. Emanuela Molinaroli

Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Veneto, Italy
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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2019 in Scientific Reports
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GSGian Marco Scarpa
Gian Marco Scarpa
LZLuca Zaggia
Luca Zaggia
GMGiorgia Manfè
Giorgia Manfè
GLGiuliano Lorenzetti
Giuliano Lorenzetti
KPKevin Parnell
Kevin Parnell
Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli
We analyse the impact of ship traffic in the vicinity of navigation channels in a wide shallow waterbody. The crucial hydrodynamic driver in this situation is the depression (Bernoulli) wake that may be transferred into a long-living solitary wave of depression over the shoals. The analysis considers navigation channels in the Venice Lagoon using a new large dataset of approximately 600 measured wake events associated to specific ships whose data are provided by the AIS system. Since the development of the modern industrial port and the opening of the Malamocco–Marghera channel in the late 1960s, growing pressure on the lagoon caused by ship traffic has raised concerns about its physical integrity and habitat survival. The transit of large vessels has been shown to have serious impacts on the shallow water areas adjacent to waterways. Depression wakes created by such vessels can reach significant dimensions (water level dropdown of up to 2.45 m at the channel margin), causing unusually large retreat rates of several sections of the shoreline and which may adversely affect the lagoon morphology. The wakes are analysed in relation to ship and morphological parameters. A formulation is proposed to predict wake amplitude on the basis of ship characteristics and motion.

23 September 2008 in Aquatic Conservation: Marine and Freshwater Ecosystems
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GFGretel Frangipane
Gretel Frangipane
MPMario Pistolato
Mario Pistolato
Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli
SGStefano Guerzoni
Stefano Guerzoni
DTDavide Tagliapietra
Davide Tagliapietra
Loss on ignition (LOI) is a widely used method to estimate organic matter (OM) in the sediment of marine and freshwater ecosystems. Thermogravimetric‐differential thermal analysis (TG‐DTA) of organic species provides information on thermal reactions, the amount and properties of clay structural water, organic species and carbonates. The accuracy of LOI compared with that of TG‐DTA was evaluated in 33 sediment samples from the Lagoon of Venice (Italy). In all tests conducted with TG‐DTA the mass loss of OM and the loss of clay structural water (LCSW) from oxidized samples were measured. The mass loss of OM at 350°C (TG‐DTA 350 OM) and the total extraction of organic matter at 567°C (TEOM) calculated from the difference between natural state samples and oxidized samples highlight the presence of both thermally labile and thermally stable substances. The grain size data of sediment samples from the Lagoon shows a variable distribution between slightly muddy sand and mud. Loss of clay structural water at 350°C (LCSW 350) and total extraction of clay structural water at 567°C (TECSW) both estimated by TG‐DTA on oxidized samples, were found to correspond approximately to 6% and 10%, respectively of the clay fraction (<4 µm). This percentage may be used to correct LOI measurements of OM in sediments with high clay content. LOI 350 (loss on ignition at 350°C) and LOI 550 (loss on ignition at 550°C) proved to be ∼80% and ∼200%, respectively, of total extraction of mass loss at 350°C (TG‐DTA 350 tot) and at 567°C (TEML) estimated by TG‐DTA on natural samples, meaning that the LOI 550 value represents a significant overestimate. The difference between the LOI 550 and TEML values indicates that the mass loss excess (MLE) may be accounted for by losses due to breakdown of carbonates. Copyright © 2008 John Wiley & Sons, Ltd.

18 August 2019 in Environmental Management
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Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli
SGStefano Guerzoni
Stefano Guerzoni
Daniel SumanDaniel Suman
Daniel Suman

20 February 2019 in Aquatic Conservation: Marine and Freshwater Ecosystems
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LBLuigi Bundone
Luigi Bundone
APAliki Panou
Aliki Panou
Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli

1 July 2020 in Remote Sensing
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LJLukasz Janowski
Lukasz Janowski
FMFantina Madricardo
Fantina Madricardo
SFStefano Fogarin
Stefano Fogarin
AKAleksandra Kruss
Aleksandra Kruss
Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli
Jaroslaw TegowskiJaroslaw Tegowski
Jaroslaw Tegowski
Scientific exploration of seabed substrata has significantly progressed in the last few years. Hydroacoustic methods of seafloor investigation, including multibeam echosounder measurements, allow us to map large areas of the seabed with unprecedented precision. Through time-series of hydroacoustic measurements, it was possible to determine areas with distinct characteristics in the inlets of the Lagoon of Venice, Italy. Their temporal variability was investigated. Monitoring the changes was particularly relevant, considering the presence at the channel inlets of mobile barriers of the Experimental Electromechanical Module (MoSE) project installed to protect the historical city of Venice from flooding. The detection of temporal and spatial changes was performed by comparing seafloor maps created using object-based image analysis and supervised classifiers. The analysis included extraction of 25 multibeam echosounder bathymetry and backscatter features. Their importance was estimated using an objective approach with two feature selection methods. Moreover, the study investigated how the accuracy of classification could be affected by the scale of object-based segmentation. The application of the classification method at the proper scale allowed us to observe habitat changes in the tidal inlet of the Venice Lagoon, showing that the sediment substrates located in the Chioggia inlet were subjected to very dynamic changes. In general, during the study period, the area was enriched in mixed and muddy sediments and was depleted in sandy deposits. This study presents a unique methodological approach to predictive seabed sediment composition mapping and change detection in a very shallow marine environment. A consistent, repeatable, logical site-specific workflow was designed, whose main assumptions could be applied to other seabed mapping case studies in both shallow and deep marine environments, all over the world.

1 June 2014 in Journal of Earth System Science
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Emanuela MolinaroliEmanuela Molinaroli
Emanuela Molinaroli
ASAlessandro Sarretta
Alessandro Sarretta
CFChristian Ferrarin
Christian Ferrarin
EMEmanuele Masiero
Emanuele Masiero
ASAntonietta Specchiulli
Antonietta Specchiulli
SGStefano Guerzoni
Stefano Guerzoni
Integrated classification maps were produced by combining sediment grain-size and hydrological data (water renewal time, WRT) from two Mediterranean lagoons, Lesina (LL) and Varano (LV), Italy. The geophysical characteristics of the two basins, derived from detailed bathymetric charts, are quite distinct: ∼30% of LL (mean depth ∼1 m) but only 3% of LV (mean depth ∼3 m) is shallower than 1 m. The sediments of both lagoons are mainly composed of mud (∼80%). A detailed multivariate analysis of grain-size data by EntropyMax classified the lagoon beds of LL and LV into five sedimentary facies. WRT data, computed by a hydrodynamic model, indicated different hydrological conditions in the two lagoons: LL showed a sharp west–east gradient, with a basin-wide average of ∼190 days, whilst LV showed a fairly uniform distribution and a higher basin-wide average (∼260 days). The distribution of sedimentary facies and water renewal times were combined in a composite map representing the distribution of environmental patterns. The approach outlined in this study can be used to improve zonation schemes by providing a hydromorphological perspective on transitional and coastal environments.