Towards a Modelling and Optimisation of the Recovery of Marine Floating Plastic

被引：0

作者：

Maslov, Nicolas ^{[1
]}

Salmon, Loic ^{[2
]}

Claramunt, Christophe ^{[1
]}

机构：

[1] Naval Acad Res Inst, F-29160 Lanveoc, France

[2] Univ Bretagne Occidentale, F-29200 Brest, France

来源：

WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS (W2GIS 2020) | 2020年 / 12473卷

关键词：

Marine Litter; Macro-plastic; Trajectory prediction; Route optimisation;

D O I：

10.1007/978-3-030-60952-8_21

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The recovery of marine plastic litter has been recently recognised as one of the world greatest environmental challenge. While many recent initiatives are oriented towards the recovery of micro plastics, there is still a need for the development of observation and in situ capabilities that will provide appropriate positional data to combat such critical pollution phenomenon. The experimental research developed in this paper introduces a methodology for geo-locating and collecting plastic wastes in a maritime environment. The approach is spatially and temporally-based in the sense plastic wastes are tracked over time according to some meteorological conditions (i.e., winds, currents, tides). Overall, predicting plastic waste displacements constitutes a first step to an optimization process whose objective is to collect plastic debris in littoral zones using a dedicated ship.

引用

页码：214 / 229

页数：16

共 22 条

[11]

Kang J., 2004, OBJECT TRACKING CLAS, P123

[12] Quantification of marine macro-debris abundance around Vancouver Island, Canada, based on archived aerial photographs processed by projective transformation [J].