Detecting Climate Driven Changes in Chlorophyll-a in Deep Subalpine Lakes Using Long Term Satellite Data

Autor: Gary Free, Mariano Bresciani, Monica Pinardi, Nicola Ghirardi, Giulia Luciani, Rossana Caroni, Claudia Giardino

Publikováno v: Water, Vol 13, Iss 6, p 866 (2021)

Climate change has increased the temperature and altered the mixing regime of high-value lakes in the subalpine region of Northern Italy. Remote sensing of chlorophyll-a can help provide a time series to allow an assessment of the ecological implicat

Externí odkaz: https://doaj.org/article/7ccbcda072734aee96b02cea04f33d7d

Water, heritage, city: urbanized deltas on the line between nature and culture

Autor: Giulia Luciani

Publikováno v: Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques” ISBN: 9791221500301

Deltas are extremely rich in natural resources and cultural heritage, but also vulnerable. Along coasts and waterfronts, rivers, irrigation/drainage canals, which shape the land-water transition, a plurality of values, demands, and issues emerge in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a4339779f8639896abeb5cf8522a493
https://hdl.handle.net/11573/1675008

Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data

Autor: Marina Amadori a, c, Lorenzo Giovannini a, Marco Toffolon a, Sebastiano Piccolroaz b2, DinoZardi a, Mariano Bresciani c, Claudia Giardino c, Giulia Luciani c, Michael Kliphuis b, Hansvan Haren d, Henk A. Dijkstra b

Publikováno v: Environmental modelling & software (2021).
info:cnr-pdr/source/autori:Marina Amadori a,c*, Lorenzo Giovannini a, Marco Toffolon a, Sebastiano Piccolroaz b2, DinoZardi a, Mariano Bresciani c, Claudia Giardino c, Giulia Luciani c, Michael Kliphuis b, Hansvan Haren d, Henk A. Dijkstra b/titolo:Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data/doi:/rivista:Environmental modelling & software/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume

Evaluating a three-dimensional lake model requires large datasets of many variables, including velocity fields, that are seldom available. Here we discuss how to assess the performance of a model at multiple scales (in time and space) with data from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::12ef1ecf055fe8b44cc206df3c7e922f
https://publications.cnr.it/doc/447171

Biogeochemical modelling of a tropical coastal area undergoing seasonal upwelling and impacted by untreated submarine outfall

Autor: Diana Marcela Arroyave Gómez, Marco Bartoli, Mauricio Toro-Botero, Giulia Luciani, Mariano Bresciani

Publikováno v: Marine pollution bulletin. 172 (2021). doi:10.1016/j.marpolbul.2021.112771
info:cnr-pdr/source/autori:Arroyave Gómez, Diana M. (1); Bartoli, Marco (2,3); Bresciani, Mariano (4); Luciani, Giulia (5); Toro-Botero, Mauricio (1)/titolo:Biogeochemical modelling of a tropical coastal area undergoing seasonal upwelling and impacted by untreated submarine outfall/doi:10.1016%2Fj.marpolbul.2021.112771/rivista:Marine pollution bulletin./anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:172

A coupled 3D hydrodynamic-ecological model was applied to the Santa Marta Coastal Area (SMCA, Colombian Caribbean) to provide insights into the role of external stressors (e.g. wastewater outfall and upwelling) on the water quality and benthic - pela

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::717b9e4752f0aab7fa7cb1bd8e1045d3
https://publications.cnr.it/doc/456410

The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake

Autor: Gary Free, Giulia Luciani, Marnix Laanen, Claudia Giardino, Monica Pinardi, Valentina Della Bella, Semhar Ghebrehiwot, Rosalba Padula, Steef Peters, Mariano Bresciani

Publikováno v: Water, Vol 12, Iss 1, p 284 (2020)
Water
Volume 12
Issue 1

Lake water quality monitoring has the potential to be improved through integrating detailed spatial information from new generation remote sensing satellites with high frequency observations from in situ optical sensors (WISPstation). We applied this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::350e7e73641450e60474e8bc3761ca2a
https://www.mdpi.com/2073-4441/12/1/284