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Use of Models and Facility-Level Data in Greenhouse Gas Inventories

Use of Models and Facility-Level Data in Greenhouse Gas Inventories

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<strong>Use</strong> <strong>of</strong> <strong>Models</strong> <strong>and</strong> <strong>Facility</strong>-<strong>Level</strong> <strong>Data</strong> <strong>in</strong> <strong>Greenhouse</strong> <strong>Gas</strong> <strong>Inventories</strong><br />

CONCLUSION<br />

This paper presents field data <strong>of</strong> methane emission from different type <strong>of</strong> solid waste disposal sites <strong>in</strong> central Thail<strong>and</strong><br />

<strong>and</strong> compared their emissions to IPCC waste model estimation. Results from field measurement illustrated that ra<strong>in</strong>y<br />

season showed <strong>in</strong>fluential effect to methane emission <strong>in</strong> both managed l<strong>and</strong>fill (5-6 times higher than other seasons) <strong>and</strong><br />

unmanaged l<strong>and</strong>fill (2-5 times higher). Application <strong>of</strong> IPCC Waste Model to the studied sites showed that, by us<strong>in</strong>g error<br />

function analysis, the best fitt<strong>in</strong>g values <strong>of</strong> MCF were 0.65, 0.20, 0.15 <strong>and</strong> 0.10 for deep l<strong>and</strong>fill, shallow l<strong>and</strong>fill, deep<br />

dumpsite <strong>and</strong> shallow dumpsite, respectively. OX values used <strong>in</strong> this study were 0.15 <strong>and</strong> 0.70 for l<strong>and</strong>fill <strong>and</strong> open<br />

dumpsite, respectively. The half-life values for food waste, paper, wood <strong>and</strong> textiles that were obta<strong>in</strong>ed from this study<br />

were 2, 10, 20 <strong>and</strong> 10 yr -1 , respectively. The delay time was 6 months. Estimation <strong>of</strong> methane emissions from the IPCC<br />

Waste Model with the above parameter gave fair results compared to field measurement <strong>in</strong> many different cases<br />

<strong>in</strong>clud<strong>in</strong>g type <strong>of</strong> l<strong>and</strong>fill, age <strong>and</strong> waste <strong>in</strong> place. However, sites with specific operation <strong>and</strong> uncerta<strong>in</strong> operation resulted<br />

<strong>in</strong> departed value from the field measurement.<br />

The key parameters <strong>in</strong>clud<strong>in</strong>g the MCF, OX, half-life <strong>and</strong> delay time that were obta<strong>in</strong>ed from this study can be used as<br />

country-specific parameters for Thail<strong>and</strong> <strong>and</strong> other countries <strong>in</strong> South East Asian region with similar circumstances <strong>in</strong><br />

the application <strong>of</strong> IPCC Waste Model. Us<strong>in</strong>g these country-specific values, as the Tier 2 methodology, also helps to<br />

reduce uncerta<strong>in</strong>ties as well as improve the quality <strong>of</strong> estimation. On the other words, the obta<strong>in</strong>ed MCF values also<br />

mean to the improper l<strong>and</strong>fill operation <strong>in</strong> develop<strong>in</strong>g countries that will reduce the methane generation potential<br />

compare to the well operated l<strong>and</strong>fill <strong>in</strong> developed countries. In order to estimate the size (capacity) <strong>of</strong> l<strong>and</strong>fill gas<br />

recovery plant or evaluate the emission reduction <strong>in</strong> the CDM for tropical develop<strong>in</strong>g countries, the methane generation<br />

potential should be reduced with the obta<strong>in</strong>ed MCF as the reduction factor.<br />

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