A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions

Effective site selection is a key component of maximising debris removal during coastal cleanup actions. We tested a GIS-based predictive model to identify marine litter hotspots in Lofoten, Norway based on shoreline gradient and shape. Litter density was recorded at 27 randomly selected locations w...

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Veröffentlicht in:	Marine pollution bulletin 2019-02, Vol.139, p.117-126
Hauptverfasser:	Haarr, Marthe Larsen, Westerveld, Levi, Fabres, Joan, Iversen, Kriss Rokkan, Busch, Kjersti Eline Tønnessen
Format:	Artikel
Sprache:	eng
Schlagworte:	Accumulation Bathing Beaches - standards Beach geomorphology Coastal cleanup actions Coastal zone management Coasts Curvature Density Environmental cleanup Environmental Monitoring - methods Environmental Restoration and Remediation - methods Geographic Information Systems Geographical information systems Headlands Hot spots Limiting factors Litter Litters (births) Marine debris Marine litter Marine pollution Mathematical models Norway Optimization Parameter identification Planning tool Plastics - analysis Prediction models Predictive modeling Removal Shape Shorelines Site selection Solid Waste - analysis Winds
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