Graduate Project
 

Identifying potential groundwater problems areas in western Marion County using a Geographic Information System

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_projects/g732d978c

Descriptions

Attribute NameValues
Creator
Abstract
  • The main objective of the study was to identify potential groundwater problem areas in Western Marion County using a geographic information system (GIS) and the Oregon Water Resources Department's (OWRD's) well log database (see figure 1). Potential groundwater problem areas were identified based on their mean static water level. According to well log data definitions within OWRD's well log user's guide (1990), static water level is defined as "the stabilized level or elevation of the water surface in a well not being pumped." There are nearly 20,000 such well logs in Marion Co., and the majority have a static water level denoted in the well log database. Since each well log has a water level attribute value and a section designator, it was possible to summate the water level values, divide by the number of well logs, and arrive at a mean static water level for each section in the county. The well construction date was then used to divide the data into pre-1980 (1905-1979) and post-1980 (1980-1994) portions. By separating the data into two time periods, it was possible to estimate the change in mean static water level for each section. The mean water level, along with the change in level between the pre-1980 and post-1980 data, were both used to identify potential groundwater problem areas. In the context of this study, a potential groundwater problem area is defined as any section with a mean static water level greater than 1 75 feet and/or a change in level of 100 feet or more.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Rights Statement
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome, 8-bit Grayscale) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces

Relationships

Parents:

This work has no parents.

Items