Environmetrical Treatment of Water Quality Survey Data from Yantra River, Bulgaria |
| |
Authors: | V Simeonov S Stefanov S Tsakovski |
| |
Affiliation: | (1) Chair of Analytical Chemistry, Faculty of Chemistry, University of Sofia “St. Kl. Okhridski”, 1126 Sofia, J. Bourchier Blvd. 1, Bulgaria, BG;(2) Chair of Chemistry, Technical University, Gabrovo, Bulgaria, BG |
| |
Abstract: | The environmetrical analysis carried out has indicated that the short-term water quality survey may give a very important
information on the latent factors influencing the water quality of Yantra river basin. The principal components analysis carried
out reveals that at least four principal components are necessary for multivariate statistical modeling of the water quality
– combination of natural and anthropogenic influences (“mixed” factor) reflecting parameters such as water hardness, marine
influence, organic pollution; typical anthropogenic influences (“anthropogenic” factor) explaining the metal contamination
of the river water; everyday wastes, usually N-containing pollutants such as nitrates, nitrites or ammonia, form the “N-containing
wastes” factor and a “temperature” factor formed by typical physical parameters such as water and air temperature.
The formation of these special features of the river waters from Yantra basin is also confirmed by the results of cluster
analysis (variable clustering) where the content of the significant clusters of the variables is the same as the content of
the principal components modeling over 75% of the total variance of the system. Additionally, the cluster analysis of the
objects has proved that the water quality during both sampling traverses is very stable and reproducible. Few exceptions are
observed due to momentary local pollution in an industrial area along the river stream. Comparison with standard requirements
for water quality has indicated that the Yantra river waters are of high quality and could be used after minor pretreatment
as potable water sources.
The environmetrical approaches applied reveal a specific information concerning the river water quality. In this way the ecological
problem treated has not a local importance but suggests a strategy for estimation of similar ecosystems in global sense.
Received July 30, 1998. Revision June 1, 1999. |
| |
Keywords: | : River water chemical analysis data treatment environmetrics multivariate statistics cluster analysis principal components analysis |
本文献已被 SpringerLink 等数据库收录! |
|