Data on water quality and other environmental issues are being
collected at an ever-increasing rate. In the past, however, the
techniques used by scientists to interpret this data have not
progressed as quickly. This is a book of modern statistical methods
for analysis of practical problems in water quality and water
The last fifteen years have seen major advances in the fields of
exploratory data analysis (EDA) and robust statistical methods. The
'real-life' characteristics of environmental data tend to drive
analysis towards the use of these methods. These advances are
presented in a practical and relevant format. Alternate methods are
compared, highlighting the strengths and weaknesses of each as
applied to environmental data. Techniques for trend analysis and
dealing with water below the detection limit are topics covered,
which are of great interest to consultants in water-quality and
hydrology, scientists in state, provincial and federal water
resources, and geological survey agencies.
The practising water resources scientist will find the worked
examples using actual field data from case studies of environmental
problems, of real value. Exercises at the end of each chapter
enable the mechanics of the methodological process to be fully
understood, with data sets included on diskette for easy use. The
result is a book that is both up-to-date and immediately relevant
to ongoing work in the environmental and water sciences.
Elsevier Science & Technology
|Country of origin:
||Studies in Environmental Science
• R.M. Hirsch
||Electronic book text - Windows
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