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Inference of hydrogeological conditi...

Carnagie, Mary R.

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Inference of hydrogeological conditions and source history of groundwater contaminants using 3-D modeling and human health risk assessment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inference of hydrogeological conditions and source history of groundwater contaminants using 3-D modeling and human health risk assessment./
作者:	Carnagie, Mary R.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:	1533 p.
附註:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
標題:	Geology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1587168
ISBN:	9781321706055

Inference of hydrogeological conditions and source history of groundwater contaminants using 3-D modeling and human health risk assessment.
Carnagie, Mary R.

Inference of hydrogeological conditions and source history of groundwater contaminants using 3-D modeling and human health risk assessment. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 1533 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--Wayne State University, 2015.

This study was completed using data interpolation and human health risk modules in Spatial Analysis and Decision Assistance (SADA) software to model a 3-D time-series of 1,4-dioxane and vinyl chloride plumes and their associated health risks to infer hydrogeological conditions at the Ann Arbor Landfill site. Ordinary kriging estimates of contaminant distribution and human health risk distribution provide insight to groundwater flow direction, hydraulic conductivity distribution, and source history of contaminants at sites with groundwater contamination in a glacial aquifer system. More studies with larger datasets in glacial aquifer systems are necessary to prove these correlations, but this thesis illustrates that these types of inferences are possible.

ISBN: 9781321706055Subjects--Topical Terms:

516570
Geology.

Inference of hydrogeological conditions and source history of groundwater contaminants using 3-D modeling and human health risk assessment.
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