Walton, Christopher - Associate SupervisorAirborne microplastics (AMPs) represent an emerging environmental and public health
challenge, with their sources, transport mechanisms, and impacts still poorly
understood, particularly in developing regions with inadequate waste management
systems. This research addresses three key gaps: the need for cost-effective and
efficient AMP sampling tools, the AMP flux estimations under different environmental
conditions, and the modelling of AMP dispersion to understand their transport and
potential exposure risks downwind.
This research tackles these challenges by developing a low-cost sampler for AMP
collection. The low-cost sampler was validated against the commercial sampler (SKC
Deployable Sampler equipped with a Total Suspended Particulate (TSP) head), with
a focus on fibres, fragments, and films across diverse environmental conditions. The
emission of AMPs was quantified using a modified Fick’s law, which incorporates sitespecific
parameters such as wind speed, temperature, and particle properties.
Seasonal variation in AMP emissions was analysed by collecting and processing 226
environmental samples (42 soil and 184 air) from the municipal solid waste disposal
site and its environment during dry and wet seasons. Dispersion modelling was
conducted using SCREEN3 to simulate the downwind transport of AMPs.
A low-cost sampler (LCS) was developed and evaluated against a commercial
sampler, demonstrating a strong correlation (ρ = 0.976) and high accuracy (94.12%)
compared to a reference sampler. The LCS effectively captured seasonal variations
in AMP abundance. Polymer analysis identified five predominant polymers, with nylon
(fibres), PVC (fragments), and PE (films) accounting for the majority of microplastics.
The cost analysis revealed that the LCS offers 61% savings over second-hand and
98% over new commercial samplers, making it a reliable and affordable tool for AMP
research in resource-limited settings.
The airborne microplastics measured on-site reveal seasonal variations in
concentrations. Notably, the dry season reveals higher concentrations (mean: 14.37 ±
3.87 MP/m³) comparable to the wet season (mean: 11.31 ± 3.00 MP/m³). Upwind
concentrations were considerably lower, averaging 4.25 ± 1.17 MP/m³ during the dry
season and 2.75 ± 1.43 MP/m³ during the wet season, reflecting contributions from
distant fibre-rich sources, likely indoor emissions. On-site, films exhibited the lowest
emissions but retained moderate mobility during the wet season. Fibres showed the
highest diffusion coefficients, indicating potential for long-range transport. Fragments
were the most abundant microplastic type (55% dry, 53% wet), with high emission
factors (188 µg/day dry, 170 µg/day wet). Rising velocities were higher during the dry
season due to favourable wind conditions, with values of 0.1056 m/s for nylon fibres,
0.0835 m/s for PVC fragments, and 0.0742 m/s for PE films. The rising velocities and
flux measurements highlighted the influence of soil porosity and wind speed on
resuspension and transport of microplastics.
The SCREEN3 dispersion model reveals distinct seasonal variations in the transport
of AMP from MSW sites. Peak AMP concentrations occurred at 100–107 m downwind,
with wet season levels (fibres: 2.28 × 10⁻² μg/m³, fragments: 6.81 × 10⁻² μg/m³, films:
2.41 × 10⁻³ μg/m³) exceeding dry season concentrations by 2.1–2.2 times. Fragments
posed the highest health risks (Level III), particularly during short-term exposures,
while fibres and films showed lower risks. SCREEN3 agreed well with ground
measurements (R2 = 0.98 to 0.96) and identified key drivers such as stability classes
and precipitation, affirming its utility for AMP transport modelling and risk assessment.
This study highlights the significant environmental and health implications of airborne
microplastic (AMP) emissions from municipal solid waste (MSW) sites. Fragments
pose the greatest risks, particularly during the wet season. The development of a lowcost
sampler and advanced dispersion modelling provides essential tools for AMP
monitoring. To mitigate AMP impacts, improved waste management practices, such
as minimising open burning, are necessary. Integrating AMP data into air quality
monitoring frameworks and prioritising seasonal mitigation measures are also
recommended. Future studies should investigate long-range transport mechanisms,
refine emission factor models, and chronic exposure risks to develop comprehensive
strategies for mitigating AMP impacts globally.PhD in Energy and Powe
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