A process-based inventory model for landfill CH4 emissions inclusive of seasonal soil microclimate and CH4 oxidation

被引:43
作者
Spokas, K. [1 ,2 ]
Bogner, J. [3 ,5 ]
Chanton, J. [4 ]
机构
[1] ARS, USDA, St Paul, MN 55108 USA
[2] Univ Minnesota, Dept Soil Water & Climate, St Paul, MN 55108 USA
[3] Landfills Inc, Wheaton, IL 60187 USA
[4] Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA
[5] Univ Chicago, Dept Earth & Environm Sci, Chicago, IL 60637 USA
关键词
GAS-DIFFUSION COEFFICIENT; GLOBAL METHANE EMISSIONS; SPATIAL VARIABILITY; CARBON-DIOXIDE; CLIMATE VARIABILITY; AIR-TEMPERATURE; NITROUS-OXIDE; COVER SOILS; WATER; SIMULATION;
D O I
10.1029/2011JG001741
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We have developed and field-validated an annual inventory model for California landfill CH4 emissions that incorporates both site-specific soil properties and soil microclimate modeling coupled to 0.5 degrees scale global climatic models. Based on 1-D diffusion, CALMIM (California Landfill Methane Inventory Model) is a freely available JAVA tool which models a typical annual cycle for CH4 emissions from site-specific daily, intermediate, and final landfill cover designs. Literature over the last decade has emphasized that the major factors controlling emissions in these highly managed soil systems are the presence or absence of engineered gas extraction, gaseous transport rates as affected by the thickness and physical properties of cover soils, and methanotrophic CH4 oxidation in cover materials as a function of seasonal soil microclimate. Moreover, current IPCC national inventory models for landfill CH4 emissions based on theoretical gas generation have high uncertainties and lack comprehensive field validation. This new approach, which is compliant with IPCC "Tier III" criteria, has been field-validated at two California sites (Monterey County; Los Angeles County), with limited field validation at three additional California sites. CALMIM accurately predicts soil temperature and moisture trends with emission predictions within the same order of magnitude as field measurements, indicating an acceptable initial model comparison in the context of published literature on measured CH4 emissions spanning 7 orders of magnitude. In addition to regional defaults for inventory purposes, CALMIM permits user-selectable parameters and boundary conditions for more rigorous site-specific applications where detailed CH4 emissions, meteorological, and soil microclimate data exist.
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页数:19
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