Literature DB >> 12957155

Implications of the spatial variability of landfill emission rates on geospatial analyses.

K Spokas1, C Graff, M Morcet, C Aran.   

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.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12957155     DOI: 10.1016/S0956-053X(03)00102-8

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  9 in total

1.  Detection of hotspots and rapid determination of methane emissions from landfills via a ground-surface method.

Authors:  R Gonzalez-Valencia; F Magana-Rodriguez; E Maldonado; J Salinas; F Thalasso
Journal:  Environ Monit Assess       Date:  2014-11-16       Impact factor: 2.513

2.  Spatial interpolation methods and geostatistics for mapping groundwater contamination in a coastal area.

Authors:  Vetrimurugan Elumalai; K Brindha; Bongani Sithole; Elango Lakshmanan
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-21       Impact factor: 4.223

3.  Assessment of methane emission and oxidation at Air Hitam Landfill site cover soil in wet tropical climate.

Authors:  Mohammed F M Abushammala; Noor Ezlin Ahmad Basri; Rahmah Elfithri
Journal:  Environ Monit Assess       Date:  2013-06-25       Impact factor: 2.513

4.  PM10 air pollution exposure during pregnancy and term low birth weight in Allegheny County, PA, 1994-2000.

Authors:  Xiaohui Xu; Ravi K Sharma; Evelyn O Talbott; Jeanne V Zborowski; Judy Rager; Vincent C Arena; Conrad Dan Volz
Journal:  Int Arch Occup Environ Health       Date:  2010-05-23       Impact factor: 3.015

5.  Application of the IPCC Waste Model to solid waste disposal sites in tropical countries: case study of Thailand.

Authors:  Komsilp Wangyao; Sirintornthep Towprayoon; Chart Chiemchaisri; Shabbir H Gheewala; Annop Nopharatana
Journal:  Environ Monit Assess       Date:  2009-05-05       Impact factor: 2.513

6.  Empirical gas emission and oxidation measurement at cover soil of dumping site: example from Malaysia.

Authors:  Mohammed F M Abushammala; Noor Ezlin Ahmad Basri; Hassan Basri; Abdul Amir H Kadhum; Ahmed Hussein El-Shafie
Journal:  Environ Monit Assess       Date:  2012-10-02       Impact factor: 2.513

7.  Sources of salinity and arsenic in groundwater in southwest Bangladesh.

Authors:  John C Ayers; Steven Goodbred; Gregory George; David Fry; Laura Benneyworth; George Hornberger; Kushal Roy; Md Rezaul Karim; Farjana Akter
Journal:  Geochem Trans       Date:  2016-07-11       Impact factor: 4.737

8.  Ordinary kriging vs inverse distance weighting: spatial interpolation of the sessile community of Madagascar reef, Gulf of Mexico.

Authors:  Salvador Zarco-Perello; Nuno Simões
Journal:  PeerJ       Date:  2017-11-30       Impact factor: 2.984

9.  Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin'anjiang River in Huangshan, China.

Authors:  Wenjie Yang; Yue Zhao; Dong Wang; Huihui Wu; Aijun Lin; Li He
Journal:  Int J Environ Res Public Health       Date:  2020-04-24       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.