气候变化领域集成服务门户(CCPortal): A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions

CCPortal

DOI	10.1016/j.marpolbul.2018.12.025
	A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions
	Haarr M.L.; Westerveld L.; Fabres J.; Iversen K.R.; Busch K.E.T.
发表日期	2019
ISSN	0025326X
起始页码	117
结束页码	126
卷号	139
英文摘要	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 with 5 transects sampled in each. Shoreline gradient was a limiting factor to litter accumulation when >35%. The curvature of the coastline correlated differently with litter density at different spatial scales. The greatest litter concentrations were in small coves located on larger headlands. A parsimonious model scoring sites on a scale of 1–5 based on shoreline slope and shape had the highest validation success. Sites unlikely to have high litter concentrations were successfully identified and could be avoided. The accuracy of hotspot identifications was more variable, and presumably more parameters influencing litter deposition, such as shoreline aspect relative to prevailing winds, should be incorporated. © 2018 Elsevier Ltd
英文关键词	Beach geomorphology; Coastal cleanup actions; Marine litter; Planning tool; Predictive modeling
语种	英语
scopus关键词	Site selection; Clean-up actions; Debris removal; Litter accumulation; Marine litter; Parsimonious modeling; Planning tools; Predictive modeling; Prevailing winds; Geographic information systems; accumulation rate; accuracy assessment; cleanup; coastal development; coastal morphology; GIS; marine pollution; plastic waste; pollutant removal; prediction; site selection; spatial analysis; article; controlled study; geomorphology; human; Norway; randomized controlled trial; seashore; validation process; analysis; ecosystem restoration; environmental monitoring; geographic information system; procedures; solid waste; standards; swimming; Lofoten; Nordland; Norway; plastic; Bathing Beaches; Environmental Monitoring; Environmental Restoration and Remediation; Geographic Information Systems; Norway; Plastics; Solid Waste
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/150162
作者单位	SALT Lofoten AS, Havneterminalen, Fiskergata 23, Svolvær, N-8301, Norway; GRID-Arendal, Teaterplassen 3, Arendal, N-4836, Norway
推荐引用方式 GB/T 7714	Haarr M.L.,Westerveld L.,Fabres J.,et al. A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions[J],2019,139.
APA	Haarr M.L.,Westerveld L.,Fabres J.,Iversen K.R.,&Busch K.E.T..(2019).A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions.Marine Pollution Bulletin,139.
MLA	Haarr M.L.,et al."A novel GIS-based tool for predicting coastal litter accumulation and optimising coastal cleanup actions".Marine Pollution Bulletin 139(2019).