COD Decoding Starts at the Source of Wastewater

Why knowing where sewage comes from is the first step to designing a stable STP
COD Does Not Behave the Same Everywhere

In sewage treatment plant (STP) design, wastewater is often treated as a single, uniform inputโ€”especially when it is labelled โ€œdomestic sewageโ€ and evaluated only against discharge limits prescribed by the Central Pollution Control Board (CPCB).

In reality, wastewater behaviour is strongly influenced by its source.

Two wastewaters may show:
  • Similar BOD

  • Longer aeration does not reduce COD further

and yet behave very differently inside a biological treatment system.

This is because COD composition changes with source, and COD behaviourโ€”not COD magnitudeโ€”governs biological treatment.

Why Source Matters More Than Numbers

COD is a mixture of organic fractions.

The relative proportion of these fractions depends largely on where the wastewater originates.

Source determines:
  • How much COD is readily biodegradable

  • How much COD is particulate and hydrolysis-limited

  • How much COD is inert and non-removable

  • When oxygen demand will actually occur

Ignoring source means designing treatment systems based on averages, not behaviour.

Domestic Sewage: Predictable but Not Simple
Different COD compositions in wastewater treatment showing readily biodegradable, slowly biodegradable, dissolved inert, and particulate inert COD categories.
Different COD compositions in wastewater treatment showing readily biodegradable, slowly biodegradable, dissolved inert, and particulate inert COD categories.
Different COD compositions in wastewater treatment showing readily biodegradable, slowly biodegradable, dissolved inert, and particulate inert COD categories.

Domestic sewage typically contains a balanced mix of organic matter from:

  • Human waste

  • Kitchen wastewater

  • Cleaning activities

Typical COD Characteristics
  • Moderate rbCOD

  • Moderate particulate biodegradable COD

  • Low to moderate inert COD

What This Means for Design
  • Biological reactions are reasonably predictable

  • Oxygen demand is spread over time

  • Nutrient removal is feasible if carbon is managed correctly

Domestic sewage is often considered โ€œeasy to treat,โ€ but even here:

  • Ignoring COD fractions leads to over-aeration

  • Poor reaction timing affects nitrogen removal

Butchery Wastewater: Hydrolysis-Limited COD

Wastewater from butcheries and meat processing units is dominated by:

  • Fats, oils, and grease

  • Proteins and complex particulates

Typical COD Characteristics
  • High particulate biodegradable COD

  • Low readily biodegradable COD

  • Higher inert organic content

What This Means for Design
  • COD does not become immediately available to biology

  • Hydrolysis is the rate-limiting step

  • Oxygen demand appears late, not early

In such cases:

  • High initial aeration has little effect

  • Long aeration durations may still show slow COD reduction

This is often misinterpreted as โ€œinsufficient aeration,โ€ when the real limitation is substrate availability.

Bakery Wastewater: Fast-Reacting COD

Bakery and confectionery wastewater typically contains:

  • Sugars

  • Starches

  • Easily soluble carbohydrates

Typical COD Characteristics
  • Very high rbCOD

  • Minimal particulate COD

  • Low inert COD

What This Means for Design
  • Oxygen demand is immediate and intense

  • Biological reactions occur rapidly

  • Peak oxygen demand occurs early

If aeration is designed for average load:

  • Early oxygen limitation occurs

  • Treatment efficiency drops despite long aeration periods

This wastewater highlights why reaction timing matters more than aeration duration.

Brewery Wastewater: Highly Variable and Shock-Driven

Brewery and fermentation wastewater is characterised by:

  • Alcohols

  • Volatile fatty acids

  • Residual sugars

Typical COD Characteristics
  • Very high rbCOD

  • Strong batch-to-batch variation

  • Sharp oxygen demand spikes

What This Means for Design
  • Equalisation becomes critical

  • Aeration must respond quickly to load changes

  • Fixed aeration strategies perform poorly

Without understanding source variability:

  • Biological systems experience stress

  • Performance fluctuates despite โ€œadequateโ€ capacity

This wastewater highlights why reaction timing matters more than aeration duration.

Why Similar COD Values Behave Differently

A domestic sewage stream and a bakery wastewater stream may both show:

Before biology can oxidise it, this particulate COD must be converted into soluble form through hydrolysis.

  • COD โ‰ˆ 500 mg/L

Yet:

  • One reacts steadily

  • The other reacts almost instantly

Designing both systems the same way leads to:

  • Energy waste in one case

  • Oxygen limitation in the other

This is why COD decoding must always begin with source identification.

Source-Based COD Decoding Improves Design Outcomes

When wastewater source is properly considered, designers can:

  • Predict reaction timing more accurately

  • Align aeration with actual oxygen demand

  • Decide whether equalisation is essential

  • Set realistic expectations for COD and nutrient removal

This moves STP design from generic to context-aware.

How This Connects to the Larger Design Picture

Understanding the wastewater source is the bridge between:

  • COD decoding

  • Aeration philosophy

  • Biological stability

๐Ÿ‘‰ To see why aeration alone cannot compensate for source-driven COD behaviour, read:

Conclusion

COD decoding does not start in the laboratory.

It starts by asking a simple question:

Where does the wastewater come from?

Answering that question correctly determines:

  • How biology will respond

  • When oxygen is actually needed

  • Whether treatment will be stable or stressed

Source-aware design is not an extra step.

It is the foundation of reliable sewage treatment.