MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST
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Sayed, N., El Bahrawy, A., Farag, H., Donia, N. (2022). MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST. EKB Journal Management System, 51(2), 1-32. doi: 10.21608/jes.2022.105659.1116
Noha Sayed; Aly El Bahrawy; Hanan Farag; Noha Donia. "MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST". EKB Journal Management System, 51, 2, 2022, 1-32. doi: 10.21608/jes.2022.105659.1116
Sayed, N., El Bahrawy, A., Farag, H., Donia, N. (2022). 'MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST', EKB Journal Management System, 51(2), pp. 1-32. doi: 10.21608/jes.2022.105659.1116
Sayed, N., El Bahrawy, A., Farag, H., Donia, N. MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST. EKB Journal Management System, 2022; 51(2): 1-32. doi: 10.21608/jes.2022.105659.1116

MAPPING LITTER TRAJECTORY USING “GNOME” MODEL ALONG EGYPTIAN MEDITERRANEAN COAST

Journal of Environmental Science
Article 37, Volume 51, Issue 2, February 2022, Page 1-32  XML PDF (804.68 K)
Document Type: Review Article
DOI: 10.21608/jes.2022.105659.1116
Authors
Noha Sayed email 1; Aly El Bahrawy2; Hanan Farag3; Noha Donia4
1Natural conservation, EEAA, Egypt
2Faculty of Engineering, Ain Shams University
3National Water Research Center
4Institute of environmental studies and researches, Ain Shams University
Abstract
Marine litter (ML) has recently become one of the most global prevalent pollution problems adversely affecting oceans and waterways. This study aimed to explore the vulnerability of Alexandria Governorate coastal resources to ML using General National Oceanic and Atmospheric Administration Operational Oil Modeling Environment (GNOME) software. Hypothetical release of ML from El-Shatby beach was simulated through three windage classes during wet and dry periods. Quantitative measurements of beach-litter were implemented using UNEP/MAP metadata through four years fieldwork surveys for identifying their quantities, materials, and sources, thus supporting simulation of their possible fate and trajectory. This study concluded that 72% of beach accumulated material was artificial polymers and that variation in climatic conditions significantly influences trajectory and distribution patterns of ML under forces of strong wind and rain fall. The most exposed sites to ML pollution were adjacent public and private beaches, historical sites, Eastern and Western harbors, and Abu-qir bay.
Keywords
GNOME; plastics; marine litter; trajectory; model
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