3.5 Marine Pollution

Threats to Ocean Health

Human activities introduce a wide range of pollutants into the marine environment: plastics, petroleum hydrocarbons, heavy metals, persistent organic pollutants (POPs), excess nutrients, and radioactive materials. These substances undergo transport, transformation, and accumulation through physical, chemical, and biological processes. Understanding the environmental fate and ecological effects of marine pollutants is essential for developing effective remediation and prevention strategies.

The ocean's vastness once led to the belief that dilution would render pollutants harmless. However, processes like bioaccumulation, biomagnification, and convergence in ocean gyres concentrate pollutants to levels that threaten marine ecosystems and human health.

Major Types of Marine Pollution

Plastics & Microplastics

8-12 million tonnes of plastic enter the ocean annually. Microplastics (<5 mm) are ubiquitous from surface to hadal trenches. Sources: fragmentation, textiles, cosmetics, tire wear. Found in 100% of marine turtle species and 90% of seabird species examined.

Oil Spills

Petroleum hydrocarbons from tanker accidents, offshore drilling, and chronic runoff. Oil slicks coat organisms, smother habitats, and introduce toxic PAHs (polycyclic aromatic hydrocarbons). Notable events: Deepwater Horizon (2010, 780 million liters).

Heavy Metals

Mercury (Hg), lead (Pb), cadmium (Cd), arsenic (As). Sources: industrial discharge, mining, fossil fuel combustion. Mercury is methylated by anaerobic bacteria to form highly toxic methylmercury (CH₃Hg⁺) that bioaccumulates in food webs.

Persistent Organic Pollutants (POPs)

PCBs, DDT, dioxins, PFAS. Lipophilic, persistent, and biomagnifying. Despite bans, legacy POPs persist in sediments and biota. PFAS ("forever chemicals") are emerging contaminants found in marine mammals globally.

Bioaccumulation & Biomagnification

Bioaccumulation occurs when an organism absorbs a pollutant faster than it can eliminate it. The bioconcentration factor (BCF) quantifies this enrichment:

$$\text{BCF} = \frac{C_{\text{organism}}}{C_{\text{water}}}$$

For methylmercury: BCF can exceed 10⁶ from water to top predator

Biomagnification is the increase in pollutant concentration at each trophic level. The biomagnification factor (BMF) at each step is:

$$\text{BMF} = \frac{C_{\text{predator}}}{C_{\text{prey}}}$$

After $n$ trophic levels: $C_n = C_0 \cdot \text{BMF}^n$

Mercury in Tuna

Seawater Hg: ~0.5 ng/L. Phytoplankton: 10 ng/g. Zooplankton: 100 ng/g. Small fish: 1000 ng/g. Tuna: 300,000-1,000,000 ng/g. Factor: ~10⁶ enrichment.

DDT in Marine Birds

DDT caused eggshell thinning in pelicans and eagles. Water: 0.003 ppb. Fish: 2 ppm. Pelican eggs: 25 ppm. BMF ~3-10x per trophic level.

Eutrophication & Dead Zones

Excess nutrient loading (nitrogen and phosphorus) from agricultural runoff, wastewater, and atmospheric deposition drives algal blooms. When blooms die and decompose, microbial respiration depletes dissolved oxygen, creating hypoxic (<2 mg/L O₂) "dead zones":

$$\frac{\partial [\text{O}_2]}{\partial t} = D\nabla^2[\text{O}_2] - r_{\text{resp}} \cdot [\text{OM}]$$

When $r_{\text{resp}} \cdot [\text{OM}]$ exceeds physical resupply, hypoxia develops.

700+

Coastal dead zones worldwide

22,000 km²

Gulf of Mexico dead zone (peak)

80,000 km²

Baltic Sea hypoxic area

Microplastics: Distribution & Trophic Transfer

Microplastics (<5 mm) are now found in every marine environment sampled, from Arctic sea ice to the Mariana Trench sediments at 10,994 m. They enter the ocean as primary microplastics (manufactured beads, pellets) and secondary microplastics (fragmentation of larger debris). Transport modeling uses Lagrangian particle tracking with Stokes drift:

$$\frac{d\mathbf{x}}{dt} = \mathbf{u}_{\text{current}} + \mathbf{u}_{\text{Stokes}} + \mathbf{u}_{\text{wind}} + \sqrt{2K}\,\boldsymbol{\xi}(t)$$

where $\mathbf{u}_{\text{Stokes}}$ is the Stokes drift velocity,$K$ is diffusivity, and $\boldsymbol{\xi}$ is Gaussian noise

5.25 trillion

Estimated plastic particles afloat

268,940 tonnes

Surface ocean plastic mass

100%

Marine turtle species ingest plastic

Radioactive Tracers & Remediation

Both natural (²¹⁰Pb, ²²⁶Ra, ²³⁴Th) and anthropogenic (¹³⁷Cs, ⁹⁰Sr, ³H) radionuclides serve as tracers for pollution transport and scavenging processes. The Fukushima release (2011) provided a large-scale tracer experiment for Pacific circulation. Radioactive decay follows first-order kinetics:

$$A(t) = A_0 \cdot e^{-\lambda t} = A_0 \cdot 2^{-t/t_{1/2}}$$

$\lambda = \ln(2)/t_{1/2}$ is the decay constant; ¹³⁷Cs: $t_{1/2} = 30.2$ years

Remediation strategies include bioremediation (hydrocarbon-degrading bacteria for oil spills), phytoremediation (mangroves and seagrasses filtering runoff), constructed wetlands for nutrient removal, and emerging technologies like plastic-degrading enzymes (PETase). The half-life of environmental pollutant concentrations depends on dilution, degradation, and sequestration rates.

Mercury Cycling & Environmental Fate

Mercury enters the ocean primarily through atmospheric deposition of Hg⁰ (elemental mercury from coal combustion). In the ocean, it undergoes a complex biogeochemical cycle:

$$\text{Hg}^{2+} \xrightarrow{\text{anaerobic bacteria}} \text{CH}_3\text{Hg}^+ \xrightarrow{\text{food web}} \text{bioaccumulation}$$

The methylation rate depends on microbial activity in suboxic environments. A simple first-order kinetic model for the fate of a pollutant in seawater:

$$C(t) = C_0 \cdot e^{-(k_d + k_b + k_v)t}$$

where $k_d$ = degradation, $k_b$ = burial, $k_v$ = volatilization rate constants

Derivation: Contaminant Transport & Dispersion Equations

Step 1: Conservation of Mass for a Dissolved Pollutant

Consider a control volume in the ocean. The concentration C of a pollutant changes due to advective transport by currents, turbulent diffusion, and chemical/biological decay. The mass balance for an infinitesimal volume element gives:

$$\frac{\partial C}{\partial t} = -\nabla \cdot (\mathbf{u} C) + \nabla \cdot (K \nabla C) + S - \lambda C$$

Step 2: Simplify to 1-D Advection-Diffusion with Decay

For a uniform flow field u in the x-direction with constant diffusivity K and first-order decay rate lambda, and no additional sources (S = 0):

$$\frac{\partial C}{\partial t} + u\frac{\partial C}{\partial x} = K\frac{\partial^2 C}{\partial x^2} - \lambda C$$

Step 3: Analytical Solution for an Instantaneous Point Source

For an instantaneous release of mass M at x = 0, t = 0, we seek a solution by substituting a Gaussian ansatz. Transforming to a moving coordinate xi = x - ut reduces to a diffusion equation with decay. The solution is:

$$C(x,t) = \frac{M}{A\sqrt{4\pi K t}} \exp\!\left[-\frac{(x - ut)^2}{4Kt}\right] \exp(-\lambda t)$$

where A is the cross-sectional area of the plume. The Gaussian spreads with standard deviation sigma = sqrt(2Kt), while the center advects at velocity u and the total mass decays exponentially.

Step 4: Derive the Gaussian Spreading Width

The variance of the concentration distribution grows linearly with time. From the second moment of the diffusion equation (Einstein relation):

$$\sigma^2(t) = \langle x^2 \rangle - \langle x \rangle^2 = 2Kt \quad \Rightarrow \quad \sigma = \sqrt{2Kt}$$

Step 5: Environmental Half-Life of a Pollutant

When multiple removal processes act in parallel (degradation k_d, burial k_b, volatilization k_v), the total effective decay rate is their sum. The environmental concentration decays as:

$$C(t) = C_0 \, e^{-(k_d + k_b + k_v)t}, \qquad t_{1/2} = \frac{\ln 2}{k_d + k_b + k_v}$$

Derivation: Bioaccumulation & Biomagnification Factor

Step 1: Single-Organism Uptake-Elimination Model

Consider an organism exposed to a contaminant at water concentration C_w. The organism absorbs the pollutant at uptake rate k_u and eliminates it at rate k_e. The internal concentration C_org obeys:

$$\frac{dC_{\text{org}}}{dt} = k_u \cdot C_w - k_e \cdot C_{\text{org}}$$

Step 2: Solve for Steady-State Bioconcentration Factor

At steady state, dC_org/dt = 0. Solving for the ratio of organism to water concentration gives the bioconcentration factor (BCF):

$$k_u C_w = k_e C_{\text{org}} \quad \Rightarrow \quad \text{BCF} = \frac{C_{\text{org}}}{C_w} = \frac{k_u}{k_e}$$

Step 3: Include Dietary Uptake for Biomagnification

For organisms at trophic level n, contaminant uptake comes from both water and food. Adding dietary assimilation (efficiency α, feeding rate I_R, prey concentration C of the level below):

$$\frac{dC_n}{dt} = k_u C_w + \alpha \cdot I_R \cdot C_{n-1} - k_e \cdot C_n$$

Step 4: Steady-State Biomagnification Factor (BMF)

At steady state, and when dietary uptake dominates over waterborne uptake (true for lipophilic compounds like methylmercury and PCBs):

$$C_n \approx \frac{\alpha \cdot I_R}{k_e} \cdot C_{n-1} \quad \Rightarrow \quad \text{BMF} = \frac{C_n}{C_{n-1}} = \frac{\alpha \cdot I_R}{k_e}$$

Step 5: Concentration at Trophic Level n

If BMF is approximately constant across trophic levels, the concentration at level n relative to the base level (phytoplankton, which bioconcentrate from water) is a geometric progression:

$$C_n = C_w \cdot \text{BCF} \cdot \text{BMF}^{n-1}$$

For methylmercury with BCF ~ 10³ and BMF ~ 5-10, a top predator at trophic level 5 accumulates concentrations 10³ x 5⁴ ~ 6 x 10⁵ times higher than seawater, explaining the ~10⁶-fold enrichment observed in tuna.

Python: Bioaccumulation & Oil Spill Model

Python: Bioaccumulation & Oil Spill Model

Python

!/usr/bin/env python3

script.py75 lines

Click Run to execute the Python code

Code will be executed with Python 3 on the server

Fortran: Advection-Diffusion Pollutant Transport

Fortran: Advection-Diffusion Pollutant Transport

Fortran

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program.f9060 lines

Click Run to execute the Fortran code

Code will be compiled with gfortran and executed on the server

Key Takeaways

  • Plastics, oil, heavy metals, POPs, and excess nutrients are the major categories of marine pollution.
  • Biomagnification can concentrate pollutants by factors of 10⁶ from water to top predators.
  • Eutrophication from nutrient runoff creates over 700 coastal dead zones worldwide.
  • Mercury methylation in suboxic environments produces the most toxic and bioaccumulative form.
  • Pollutant transport follows advection-diffusion equations with decay, enabling fate modeling.