Development of a powerful approach for classification of surface waters by geochemical signature.
Clicks: 175
ID: 28698
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
62.2
/100
175 views
144 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #133 of 168 articles by views in Water research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 168 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Easy identification of chemical signatures characteristic of water systems has become a major issue in the field of environmental protection and management. We propose an exploratory method, exclusively based on the statistical analysis of river water composition, capable of characterizing river waters in a given watershed through their chemical composition, as well as of detecting modifications, even when not related to pollution sources. Although the method is based on well-known statistic techniques (Principal Component Analysis and Linear Discriminant Analysis), and therefore is very simple and straightforward to apply, it goes far beyond the common data reduction use of these techniques. Its capabilities are illustrated through its application to rivers in Canton Geneva, Switzerland, a hydrographical network consisting of 310 km of waterways with 250 streams and rivers. The procedure results in a very satisfactory classification of watersheds, in our case by using only two geochemical indicators: U and Ba concentrations. The method also makes it possible to follow the seasonal evolution of river regimes or the effect of wetlands on river water composition.
| Reference Key |
filella2014developmentwater
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Filella, Montserrat;Pomian-Srzednicki, Ian;Nirel, Pascale M; |
| Journal | Water research |
| Year | 2014 |
| DOI |
10.1016/j.watres.2013.11.046
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.