{
"@context": "http://schema.org",
"@type": "ScholarlyArticle",
"@id": "https://doi.org/10.4122/1.1000000324",
"url": "https://zenodo.org/record/3535197",
"name": "An Application of Dempster-Shafer Theory to Hydraulic Conductivity",
"author": [
{
"name": "Bree Druschel",
"givenName": "Bree",
"familyName": "Druschel",
"@type": "Person",
"@id": "bree.druschel@uvm.edu"
},
{
"name": "Metin Ozbek",
"givenName": "Metin",
"familyName": "Ozbek",
"@type": "Person",
"@id": "ozbek@cems.uvm.edu"
},
{
"name": "George Pinder",
"givenName": "George",
"familyName": "Pinder",
"@type": "Person",
"@id": "pinder@cems.uvm.edu"
},
{
"name": "Bree Druschel",
"givenName": "Bree",
"familyName": "Druschel",
"@type": "Person",
"@id": "bree.druschel@uvm.edu"
}
],
"description": "While uncertainty is an integral part of the mathematical representation of the\nenvironment, behavior forecasting requires the use of mathematical models that\nrequire the specification of physically based parameters descriptive of the\nenvironment. In subsurface hydrology, for example, the hydraulic conductivity (a\nmeasure of soil permeability) must be specified in equations descriptive of\ngroundwater flow.\n\nTraditionally probability is used to characterize uncertainty in hydraulic\nconductivity (K). It seeks to describe uncertainty arising from a lack of knowledge\nregarding concepts that are inherently crisp and well defined. However, classical\nprobability itself is not applicable to situations where the concepts themselves are\nvague. In this situation one must consider other avenues for assessing the\nuncertainty. \n\nIt is our intention to use a Dempster-Shafer Theory framework to merge probabilistic\nand fuzzy (subjective) information in an effort to improve our ability to fully\ndefine a hydraulic conductivity field. The advantages over using probability theory\nalone include 1) being able to use all available data to analyze hydraulic\nconductivity uncertainty (outliers are kept in the analysis) and 2) not having to\nmake assumptions about distribution functions (e.g. typically a lognormal\ndistribution is used to describe hydraulic conductivity of a site). Successful\ncombination of subjective and empirical information will improve our ability to\nproperly describe subsurface heterogeneity and would result in improved models of\nsubsurface environments.",
"inLanguage": "en",
"datePublished": "2006",
"publisher": {
"@type": "Organization",
"name": "XVI International Conference on Computational Methods in Water Resources"
},
"provider": {
"@type": "Organization",
"name": "datacite"
}
}