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Are biological indices BMPW' and ASPT' and their significance regarding water quality seasonally dependent? Factors explaining their variations
- Source :
- Water Research. 29:285-290
- Publication Year :
- 1995
- Publisher :
- Elsevier BV, 1995.
-
Abstract
- Biological indices based on macroinvertebrates offer advantages for testing water quality. Nevertheless, a common criticism is that these indices show seasonal dependence. To elucidate this matter, 60 sits were sampled over a two-year cycle, and the BMWP' and ASPT' biotic indices (adaptation of the Biological Monitoring Working Party Score System and Average Score Per Taxon for the Iberian Peninsula) were calculated. Annual variations in the indices were studied (considering, separately, only non-polluted sites, and grouping polluted and clean-water sites together) and compared for changes in temperature, the factor most characteristic of seasonality. Moreover, the correlations with physical factors (altitude, slope of stretch, flow, temperature, distance from the source) and chemical parameters (pH, conductivity, nitrates, nitrites, ammonium, phosphates, chlorides, sulphates, calcium, magnesium, sodium, potassium, COD, iron, copper, zinc, lead, nickel, oils and fats, detergents and pesticides) were analysed. Both indices were found to be negatively related with parameters indicative of pollution. From a multiple regression, a good score prediction using physical and chemical data (for BMWP' as for ASPT') was obtained. For non-polluted sites, the variability of the BMWP' (and its significance with respect to water quality) in relation to seasonality was quite reduced and not significant, but the ASPT' showed a significant dependence on temperature. The relationship of these indices to temperature in all sites (polluted and clean) was negative in both cases, indicating that the relationship is caused more by pollution than by seasonality.
- Subjects :
- Pollution
Hydrology
Environmental Engineering
Ecological Modeling
media_common.quotation_subject
Environmental factor
Seasonality
medicine.disease_cause
medicine.disease
Biological monitoring working party
Altitude
Environmental chemistry
Linear regression
medicine
Environmental science
Water quality
Water pollution
Waste Management and Disposal
Water Science and Technology
Civil and Structural Engineering
media_common
Subjects
Details
- ISSN :
- 00431354
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Water Research
- Accession number :
- edsair.doi...........6eb3352088046e1d01d7008ef4ec7fa5
- Full Text :
- https://doi.org/10.1016/0043-1354(94)e0125-p