title: Implications of the spatial variability of landfill emission rates on geospatial analyses.
abstract: Accurate methods quantifying whole landfill surface flux of methane are important for regulatory and research purposes. This paper presents the results from the analysis of chamber measurements utilizing geospatial techniques [kriging and inverse distance weighting (IDW)] to arrive at an estimation of the whole landfill surface flux from the spatially distributed chamber measurement points. The difficulties in utilizing these methods will be discussed. Methane flux was determined on approximately 20 m grid spacing and variogram analysis was performed in order to model spatial structure, which was used to estimate methane flux at unsampled locations through kriging. Our analysis indicates that while the semi-variogram model showed some spatial structure, IDW was a more accurate interpolation method for this particular site. This was seen in the comparison of the resulting contour maps. IDW, coupled with surface area algorithms to extract the total area of user defined contour intervals, provides a superior estimate of the methane flux as confirmed through the methane balance. It is critical that the results of the emissions estimates be viewed in light of the whole cell methane balance; otherwise, there is no rational check and balance system to validate the results.
authors.affiliation: University of Minnesota, Department of Soil, Water, and Climate, 1991 Upper Buford Circle, 439 Borlaug Hall, St. Paul, MN 55108, USA. kspokas@soils.umn.edu
authors.forename: K
authors.initials: K
authors.lastname: Spokas
authors.forename: C
authors.initials: C
authors.lastname: Graff
authors.forename: M
authors.initials: M
authors.lastname: Morcet
authors.forename: C
authors.initials: C
authors.lastname: Aran
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000465:Algorithms; D004784:Environmental Monitoring / Q000379:methods* / Q000592:standards; D040362:Geographic Information Systems; D008697:Methane / Q000032:analysis*; D008962:Models, Theoretical; D012037:Refuse Disposal; D015203:Reproducibility of Results
chemical_list: D000393:Air Pollutants; D008697:Methane