Literature DB >> 12877870

Evaluation of leachate composition by multivariate data analysis (MVDA).

K Kylefors1.   

Abstract

Landfills generate emissions in the form of gas and leachate. The emissions are often measured within monitoring programmes. It is likely that the requirements of such monitoring programmes can be extended in the future, particularly in light of the increased interest in specific organic substances. Multivariate data analyses (MVDA) have been used to evaluate the possibility of predicting the content of specific organic substances from more common analyses. The results indicate that this is possible for a specific leachate. MVDA can also be used to reduce the number of analyses performed within existing monitoring programmes while retaining information about all the variables formerly included in the programmes.

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Year:  2003        PMID: 12877870     DOI: 10.1016/s0301-4797(03)00103-8

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Prolonged aerobic degradation of shredded and pre-composted municipal solid waste: report from a 21-year study of leachate quality characteristics.

Authors:  Elise Grisey; Lotfi Aleya
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-05       Impact factor: 4.223

2.  A framework for assessment and characterisation of municipal solid waste landfill leachate: an application to the Turbhe landfill, Navi Mumbai, India.

Authors:  Harshit Mishra; Merwan Rathod; Subhankar Karmakar; Rakesh Kumar
Journal:  Environ Monit Assess       Date:  2016-05-19       Impact factor: 2.513

3.  Environmental monitoring of water resources around a municipal landfill of the Rio Grande do Sul state, Brazil.

Authors:  Pâmela de Medeiros Engelmann; Victor Hugo Jacks Mendes Dos Santos; Letícia Isabela Moser; Eduardo do Canto Bruzza; Cristina Barazzetti Barbieri; Pâmela Susin Barela; Diogo Pompéu de Moraes; Adolpho Herbert Augustin; Flávio Soares Goudinho; Clarissa Lovato Melo; João Marcelo Medina Ketzer; Luiz Frederico Rodrigues
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-25       Impact factor: 4.223

4.  Discrimination of Geographical Origin of Agricultural Products From Small-Scale Districts by Widely Targeted Metabolomics With a Case Study on Pinggu Peach.

Authors:  Jie Zhao; An Li; Xinxin Jin; Gang Liang; Ligang Pan
Journal:  Front Nutr       Date:  2022-05-24
  4 in total

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