A comprehensive assessment of plastic remediation technologies

Autor: Giulia Leone, Ine Moulaert, Lisa I. Devriese, Matthias Sandra, Ine Pauwels, Peter L.M. Goethals, Gert Everaert, Ana I. Catarino

Publikováno v: Environment International, Vol 173, Iss , Pp 107854- (2023)

The global presence of plastic litter and its accumulation in the environment has become an issue of concern to the public and policymakers. This concern has triggered innovators in past decades to design and develop a multitude of remediation techno

Externí odkaz: https://doaj.org/article/a232e39e848649eab6f178678431012c

The nutritional quality of the red mangrove crab (Ucides occidentalis), harvested at two reserves in the Guayas estuary

Autor: Andrée De Cock, Marie Anne Eurie Forio, Bruno De Meulenaer, Filip Tack, Luis Dominguez-Granda, Peter L.M. Goethals

Publikováno v: FOOD CHEMISTRY

Crabs are an outstanding source of many essential nutrients. Little research has been performed on the nutritional quality of the red mangrove crab (Ucides occidentalis). In this research we investigated the proximate composi-tion, fatty acid profile

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4c2addd6dd770f11ced76f0059da32
https://biblio.ugent.be/publication/8766631

Assisting stakeholders in their choice of riverine and estuarine plastic clean-up technologies with the aid of Bayesian Belief Networks

Autor: Giulia Leone, Ana I. Catarino, Ine Pauwels, Thomas Mani, Michelle Tishler, Matthias Egger, Marie Anne Eurie Forio, Peter L.M. Goethals, Gert Everaert

Plastic clean-up technologies deployed in rivers and estuaries can be fundamental to assist in plastic litter management and collection and to mitigate plastic pollution. However, it is vital to supply stakeholders with tools to monitor and minimize

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::567e734d655e2120b94a14305cb3254c
https://doi.org/10.5194/egusphere-egu22-4092

Comparison of Artificial Neural Network (ANN) Model Development Methods for Prediction of Macroinvertebrate Communities in the Zwalm River Basin in Flanders, Belgium

Autor: Andy P. Dedecker, Peter L.M. Goethals, Niels De Pauw

Publikováno v: The Scientific World Journal, Vol 2, Pp 96-104 (2002)

Modelling has become an interesting tool to support decision making in water management. River ecosystem modelling methods have improved substantially during recent years. New concepts, such as artificial neural networks, fuzzy logic, evolutionary al

Externí odkaz: https://doaj.org/article/a9b5d4d43e9c4f279aa063e86dd2e6d6

A Bayesian Belief Network learning tool integrates multi-scale effects of riparian buffers on stream invertebrates

Autor: Marie Anne Eurie Forio, Francis J. Burdon, Niels De Troyer, Koen Lock, Felix Witing, Lotte Baert, Nancy De Saeyer, Geta Rîșnoveanu, Cristina Popescu, Benjamin Kupilas, Nikolai Friberg, Pieter Boets, Richard K. Johnson, Martin Volk, Brendan G. McKie, Peter L.M. Goethals

Publikováno v: Science of the Total Environment
Forio, M A E, Burdon, F J, De Troyer, N, Lock, K, Witing, F, Baert, L, De Saeyer, N, Risnoveanu, G, Popescu, C, Kupilas, B, Friberg, N, Boets, P, Johnson, R K, Volk, M, McKie, B G & Goethals, P L M 2022, ' A Bayesian Belief Network learning tool integrates multi-scale effects of riparian buffers on stream invertebrates ', Science of the Total Environment, vol. 810, 152146 . https://doi.org/10.1016/j.scitotenv.2021.152146
SCIENCE OF THE TOTAL ENVIRONMENT

Riparian forest buffers have multiple benefits for biodiversity and ecosystem services in both freshwater and terrestrial habitats but are rarely implemented in water ecosystem management, partly reflecting the lack of information on the effectivenes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a599e18cdd8f4d73ce3c4c9b022cd3b3
https://doi.org/10.1016/j.scitotenv.2021.152146