Detailed Information on Publication Record
2013
Validation of the species sensitivity distribution in retrospective risk assessment of herbicides at the river basin scale-the Scheldt river basin case study
JESENSKÁ, Soňa, Sabina NÉMETHOVÁ and Luděk BLÁHABasic information
Original name
Validation of the species sensitivity distribution in retrospective risk assessment of herbicides at the river basin scale-the Scheldt river basin case study
Authors
JESENSKÁ, Soňa (203 Czech Republic, belonging to the institution), Sabina NÉMETHOVÁ (203 Czech Republic, belonging to the institution) and Luděk BLÁHA (203 Czech Republic, guarantor, belonging to the institution)
Edition
Environmental Science and Pollution Research, Landsberg, Germany, Ecomed, 2013, 0944-1344
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10511 Environmental sciences
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 2.757
RIV identification code
RIV/00216224:14310/13:00069151
Organization unit
Faculty of Science
UT WoS
000322155400017
Keywords in English
Species sensitivity distribution; Retrospective risk assessment; Mixture toxicity; Herbicides; River basin pollution; Validation
Tags
International impact, Reviewed
Změněno: 10/4/2014 19:18, Ing. Andrea Mikešková
Abstract
V originále
The present study investigated the impact of different data validation approaches in a retrospective model case study focused on seven herbicides monitored at the Scheldt river basin (Belgium) between 1998 and 2009. The study demonstrated the successful application of the SSD approach. Relatively high impacts of herbicides on aquatic primary producers were predicted. Often, up to 40 % of the primary producer communities were affected, as predicted by chronic msPAF, and in some cases, the predicted impacts were even more pronounced. The risks posed by the studied herbicides decreased during the 1998-2009 period, along with decreasing concentrations of highly toxic pesticides such as simazine or isoproturon. Various data validation approaches (the removal of duplicate values and outliers, the testing of different exposure durations and purities of studied herbicides, etc.) substantially affected SSD at the level of individual studied compounds. However, the time-consuming validation procedures had only a minor impact on the outcomes of the retrospective risk assessment of herbicide mixtures at the river basin scale. Selection of the appropriate taxonomic group for SSD calculation and selection of the species-specific endpoint (i.e., the most sensitive or average value per species) were the most critical steps affecting the final risk values predicted. The present validation study provides a methodological basis for the practical use of SSD in the retrospective risk assessment of chemical mixtures.
Links
| ED0001/01/01, research and development project |
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| EE2.3.20.0053, research and development project |
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