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British Columbia Mine Reclamation Symposium
The use of routine monitoring data for assessment and prediction of water chemistry Morin, Kevin A. (Kevin Andrew), 1955-; Hutt, Nora M.
Abstract
Mining companies collect and analyze numerous water samples every year to protect the environment and to meet permit requirements. Through the years, the collective number of analyses at any minesite can extend into the thousands. This water-quality database is periodically reported to mine administration and regulatory agencies, and then often lies dormant until the next report. A water-quality database can be used for much more than monitoring environmental conditions and meeting permit requirements. Through the years, the database becomes a valuable scientific tool for the further assessment and prediction of water chemistry. The scientific value is derived from several attributes, including (1) the abundance of data which permits valid statistical analyses and (2) the composite variability in chemistry due to natural processes such as temperature variations and artificial factors such as analytical error. This paper presents the concepts behind this approach for assessment and prediction, the limiting assumptions, and examples from an actual water-chemistry database in British Columbia. The mathematical validity of the approach is demonstrated by an accompanying paper at this symposium using an intensive database of daily and hourly sampling.
Item Metadata
Title |
The use of routine monitoring data for assessment and prediction of water chemistry
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Creator | |
Contributor | |
Date Issued |
1993
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Description |
Mining companies collect and analyze numerous water samples every year to protect the
environment and to meet permit requirements. Through the years, the collective number of
analyses at any minesite can extend into the thousands. This water-quality database is
periodically reported to mine administration and regulatory agencies, and then often lies dormant
until the next report.
A water-quality database can be used for much more than monitoring environmental
conditions and meeting permit requirements. Through the years, the database becomes a
valuable scientific tool for the further assessment and prediction of water chemistry. The
scientific value is derived from several attributes, including (1) the abundance of data which
permits valid statistical analyses and (2) the composite variability in chemistry due to natural
processes such as temperature variations and artificial factors such as analytical error. This
paper presents the concepts behind this approach for assessment and prediction, the limiting
assumptions, and examples from an actual water-chemistry database in British Columbia. The
mathematical validity of the approach is demonstrated by an accompanying paper at this
symposium using an intensive database of daily and hourly sampling.
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Extent |
1776852 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-07-20
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0042226
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Other
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Copyright Holder |
British Columbia Technical and Research Committee on Reclamation
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International