Development of a Software Package for Trend Detection in Temporal Series: Application to Water and Industrial Effluent Quality Data for the St. Lawrence River

Daniel Cluis, Claude Langlois, Raymond Van Coillie and Claude Laberge
Additional contact information
Daniel Cluis: INRS-Eau
Claude Langlois: Environment Canada, Inland Waters and Lands Directorate
Raymond Van Coillie: Environment Canada, Environmental Protection Branch
Claude Laberge: INRS-Eau

A chapter in Statistical Methods for the Assessment of Point Source Pollution, 1989, pp 329-341 from Springer

Abstract: Abstract Despite the considerable amount of effort and resources involved in monitoring water quality, water quality assessment and environmental follow-up are sometimes carried out with simple statistics, the main reason being the lack of appropriate statistical methods adapted to the nature of sampled water quality data. A survey of the classical methods used for trend detection and of their limitations is first presented, including the most recent non-parametric techniques adapted to the structure of the sampled data and to the possible types of trends occuring. This paper then presents an interactive user-friendly software package developed for microcomputers making use of these latest adapted techniques. Afterwards, some applications of the software are described pertaining to the concentrations measured at long-term stations on the St. Lawrence River and to the mass loadings discharged by regulated industries. Finally, conclusions are drawn about the assumptions, performance and limitations of the package as well as about the research needs to improve the usefulness and applicability of the software.

Keywords: Seasonal Fluctuation; Water Quality Data; Environment Canada; Water Resource Research; Monotonic Trend (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-009-1960-0_20

Ordering information: This item can be ordered from
http://www.springer.com/9789400919600

DOI: 10.1007/978-94-009-1960-0_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().