Identifying marine debris source position using adjoint marginal sensitivity method and stranded beach litter data in Singapore

被引：2

作者：

Gan, Hong Siang ^{[1
]}

Kanao, Shunsuke ^{[2
]}

Sato, Toru ^{[2
]}

Hellgardt, Klaus ^{[1
]}

Uchiyama, Yusuke ^{[3
]}

机构：

[1] Imperial Coll London, Dept Chem Engn, London, England

[2] Univ Tokyo, Dept Ocean Technol Policy & Environm, Tokyo, Japan

[3] Kobe Univ, Dept Civil Engn, Kobe, Hyogo, Japan

来源：

MARINE POLLUTION BULLETIN | 2022年 / 182卷

关键词：

Singapore; Marine debris; Stranded beach litter; Adjoint marginal sensitivity method; Volunteer beach clean-up groups; Citizen science data; BACKWARD PROBABILISTIC MODEL; TRAVEL-TIME PROBABILITIES; LOCATION; TRACKING; SEA;

D O I：

10.1016/j.marpolbul.2022.113997

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Movement of marine debris is transboundary and complex, travelling vast distances and accumulating on shorelines. These marine debris wash ashore as stranded beach litter. The objective of this work is to identify release sources of marine debris accumulated along the Singapore coastlines collected by applying a time -backward adjoint marginal sensitivity method and citizen science data of stranded beach litter by a voluntary beach clean-up group. A popular tourist hotspot on the opposite shore was estimated as a possible release source contributing to the marine debris accumulation. This analytical result was validated by population density, in-dustry types, rainfall, and inference from product packaging labels. The use of the citizen science data also illustrated potential as a data source for baseline monitoring and long-term cross-border research that influence policymaking. Future research can be conducted in an expanded domain, considering monsoon effects and instantaneous release events.

引用

页数：12