Proximity to coast and major rivers influence the density of floating microplastics and other litter in east African coastal waters

Weideman, Eleanor A.; Perold, Vonica; Donnarumma, Vincenzo; Suaria, Giuseppe; Ryan, Peter G.

doi:10.1016/j.marpolbul.2023.114644

Cited by 10 publications

(2 citation statements)

References 60 publications

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“…This lack of association illustrates a limitation of these ecological data in reaching individuallevel findings: with individual-level data, we would expect to see such an association. One possible hypothesis might be that fish supply may be a function of coastal proximity, and water sources and environmental exposures near coasts may have higher rates of microbial contamination [41][42][43] . As aquaculture expands, fish are as a substantially more environmentally friendly source of protein than animal husbandry 44 .…”

Section: Discussionmentioning

confidence: 99%

An ecological study of the association between childhood stunting, water, sanitation, and protein access, 2001-20

Wang,

Olukunle,

Wallach

et al. 2024

Preprint

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Background Adequate height attainment during early childhood foreshadows lifelong health. Stunting may be caused by environmental enteropathy (EE), but EE has persisted after improvements in water and sanitation access. Recent studies suggest tryptophan and other amino improve height attainment. Methods This study used ecological data from 94 countries over 21 years (2001-20) (n = 1836) to evaluate the association between stunting and environmental variables: the percentage with access to adequate water and sanitation, country-level supply of animal protein and fish protein access, and per capita real gross domestic product. We used mixed effects linear models with varying intercepts by country after verifying residuals were uncorrelated and had uniform variance. Results Water/sanitation access and animal protein supply are associated with lower stunting: each 1 standard deviation change in water/sanitation was associated with 1 lower standard deviation of stunting, and each 1 standard deviation change in animal protein supply was associated with 0.2 lower standard deviations of stunting. Controlling for year, each 1 standard deviation change in water/sanitation was associated with 0.8 lower standard deviation of stunting, and each 1 standard deviation change in animal protein supply was associated with 0.1 lower standard deviations of stunting. Conclusions Improvements in water/sanitation infrastructure and animal protein access are both important interventions to reduce childhood stunting. These findings complement the 2023 FAO report conclusions regarding the importance of land animal protein to childhood growth.

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Section: Discussionmentioning

confidence: 99%

An ecological study of the association between childhood stunting, water, sanitation, and protein access, 2001-20

Wang,

Olukunle,

Wallach

et al. 2024

Preprint

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“…Sampling away from the coast could also reduce the influence of coastal processes and potential contamination. This could be particularly helpful in studying widespread contamination and trends in water quality parameters, compared to sampling close to the coast [ 31 , 32 ]. To study the general quality of the body of water, the ideal approach is to sample water away from the coast.…”

Section: Methodsmentioning

confidence: 99%

Low-cost IoT based system for lake water quality monitoring

Lal,

Menon,

Noble

et al. 2024

PLoS ONE

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Water quality monitoring is a critical process in maintaining the well-being of aquatic ecosystems and ensuring growth of the surrounding environment. Clean water supports and maintains the health, livelihoods, and ecological balance of the ecosystem as a whole. Regular assessment of water quality is essential to ensure clean and reliable water is available to everyone. This requires regular measurement of pollutants or contaminants in water that can be monitored in real-time. Hence, this research showcases a system that consists of low-cost sensors used to measure five basic parameters of water quality that are: turbidity, total dissolved solids, temperature, pH, and dissolved oxygen. The system incorporates electronics and IoT technology that are powered by a solar charged lead acid battery. The data gathered from the sensors was stored locally on a micro-SD card with live updates that could be viewed on a mobile device when in proximity to the system. Data was gathered from three different bodies of water over a span of three weeks, precisely during the seasonal transition from autumn to winter. We adopted a water sampling technique since our low-cost sensors were not designed for continuous submersion. The results show that the temperature drops gradually during this period and an inversely proportional relationship between pH and temperature could be observed. The concentration of total dissolved solids decreased during rainy periods with a variation in turbidity. The deployed system was robust and autonomous that effectively monitored the quality of water in real-time with scope of adding more sensors and employing Industry 4.0 paradigm to predict variations in water quality.

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