Variation of floatable litter load and its compositions captured at floating debris boom (FDB) structure

Malik, Nur Khaliesah Abdul; Manaf, Latifah Abd; Jamil, Nor Rohaizah; Rosli, M. U.; Ash’aari, Zulfa Hanan; Adhar, Amy Syafinaz Mohamad

doi:10.1007/s10163-020-01065-8

Cited by 6 publications

(2 citation statements)

References 66 publications

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“…Besides capturing plastic for removal, these traps also provide a rich source of data. Several assessments to estimate plastic mass transport, identify plastic mass flows, or characterize plastic waste, analyzed waste captured at such infrastructure in the Netherlands (Vriend et al, 2020), France (Gasperi et al, 2014) and Malaysia (Malik et al, 2020). Further work at the river system scale is needed to shed additional light on the role of infrastructure on plastic accumulation, and the plastic mass balance on catchment level.…”

Section: Retained At Infrastructurementioning

confidence: 99%

Rivers as Plastic Reservoirs

et al. 2022

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Land-based plastic waste, carried to the sea through rivers, is considered a main source of marine plastic pollution. However, most plastics that leak into the environment never make it into the ocean. Only a small fraction of plastics that are found in the terrestrial and aquatic compartments of river systems are emitted, and the vast majority can be retained for years, decades, and potentially centuries. In this perspective paper we introduce the concept of river systems as plastic reservoirs. Under normal conditions, hydrometeorological variables (such as wind, runoff and river discharge) mobilize, transport and deposit plastics within different river compartments (e.g., riverbanks, floodplains, lakes, estuaries). The emptying of these plastic reservoirs primarily occurs under extreme hydrological conditions (e.g., storms, floods). In this paper we specifically focus on the retention mechanisms within different river compartments, and their effect on the fate of the plastics that are accumulated on various timescales. We aim to introduce the concept of rivers as (long-term) sinks for plastic pollution, and provide suggestions for future research directions.

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Section: Retained At Infrastructurementioning

confidence: 99%

Rivers as Plastic Reservoirs

et al. 2022

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“…Several forms of the system for handling the floating garbage problem have been developed. Most of them have used stationary such as litter traps [26], [27] or operated remotely [28], which does not allow the robot to operate and move around the water area on its own. According to Abrams [29], the robot can collect waste and track aquatic animals in the water, but it requires humans to control it.…”

Section: Introductionmentioning

confidence: 99%

Optimization Shortest One-Way Path for Energy Saving Auto Robot Collecting Floating Garbage using Fast Approximate Nearest Neighbor Search

Nuanmeesri¹,

Poomhiran²

2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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Floating garbage is a global problem that needs to be cleared and disposed of from the sea and rivers or canals. Mostly the floating plastic garbage directly affects the ecology and the aquatic animals. This paper proposes to develop a low-cost auto robot from waste materials in the household, school, or agriculture, then combines with the Internet of Things technology and focusing on the power energy saving with the highest accuracy in operation of floating garbage collection. ESP32 development kit board is the primary controller with a camera module and ultrasonic sensor for detecting the floating garbage while moving on the water's surface in the boundary of the specified area, including the small canal, rectangle area, and no rectangle area. The mixed mode is a new method to define the shortest one-way path using a fast approximate nearest neighbor search for the auto robot to detect and collect the floating garbage on the water surface. It was combined between the stationary and the cover model. The mixed mode can eliminate the blind spot area that occurs when using the stationary mode and cover mode. As a result, the auto robot system's accuracy in mixed mode is 98.3%. It was found that the development of the shortest one-way path for the auto robot collecting floating garbage by mixed mode provides the highest efficiency in detecting floating garbage and also helps to save overall costs, and the resource consumption is nearly half of cover mode consumption.

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