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Long-term groundwater protection efficiency of different types of sanitary landfills: Data description
Data presented in this paper are related to the research article “Long-term risk assessments comparing environmental performance of different types of sanitary landfills'’ (Madon et al., 2019). Overall environmental risks were quantitatively assessed by calculating probabilities that an assumed...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811881/ https://www.ncbi.nlm.nih.gov/pubmed/31667252 http://dx.doi.org/10.1016/j.dib.2019.104488 |
Sumario: | Data presented in this paper are related to the research article “Long-term risk assessments comparing environmental performance of different types of sanitary landfills'’ (Madon et al., 2019). Overall environmental risks were quantitatively assessed by calculating probabilities that an assumed aquifer lying directly below the landfill of a particular type will be polluted due to landfill-derived impacts as long as the pollution potential referring to each of the four types which were compared exists. A specific model was built for the purpose, described in the companion MethodX article (Madon et al., 2019). Uncertainty was taken in consideration by attributing input parameters required for modeling with probability distributions. When loosely defined groups of landfills are to be compared, which was the objective of the related research article, these distributions can be nothing but approximate and spread out, however, the values tend to cluster together around the averages which are characteristic for particular landfill types. Secondary data from scientific literature were mostly used to estimate probability density functions for the inputs, however, when referring to one of the four landfill types which were compared, primary data were used as well. The resultant outputs derived by running Monte Carlo simulations are given as time dependent variables. In this article, probability distributions for the outputs are graphically presented comparing environmental performance of different landfill types. |
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