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Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

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Modelling gas generation for landfill.

Sumedha Chakma¹, Shashi Mathur¹

¹a Department of Civil Engineering , Indian Institute of Technology Delhi , New Delhi , India.

Environmental Technology

|September 1, 2016

Summary

This summary is machine-generated.

A new model predicts long-term landfill gas generation, including methane and hydrogen sulfide. This tool aids landfill engineering and gas management system design post-closure.

Keywords:

Mathematical modelling landfill waste management and disposal

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Area of Science:

Environmental Engineering
Geochemistry
Biotechnology

Background:

Landfills generate gases like methane and hydrogen sulfide from waste decomposition.
Predicting long-term gas generation is crucial for post-closure management and safety.

Purpose of the Study:

To develop a predictive model for optimal long-term spatial and temporal generation of landfill gases.
To incorporate chemical and biochemical degradation processes of municipal solid waste.

Main Methods:

A predictive model was developed integrating chemical and biochemical waste degradation processes.
The model accounts for landfill morphology heterogeneity and key biodegradation parameters (temperature, pH, moisture).

Main Results:

The model predicts optimal long-term gas generation, including methane and hydrogen sulfide.
Gas generation rates stabilize across landfill depth after 30 years post-closure.
Observed maximum and minimum generation rates for methane and hydrogen sulfide.

Conclusions:

The developed model is valuable for landfill engineering, particularly for landfill gas mining.
It facilitates the proper design of landfill gas management systems for post-closure environments.