A concurrent neuro-fuzzy inference system for screening the ecological risk in rivers
Autor: | Martí Nadal, Vikas Kumar, Marta Schuhmacher, José L. Domingo, Ronnie Juraske, William Ocampo-Duque |
---|---|
Rok vydání: | 2012 |
Předmět: |
Self-organizing map
Neuro-fuzzy Health Toxicology and Mutagenesis media_common.quotation_subject Inference system Drainage basin Risk Assessment Sensitivity and Specificity Fuzzy Logic Rivers Water Quality Hydrocarbons Chlorinated Environmental Chemistry Ecological risk European Union Pesticides Polycyclic Aromatic Hydrocarbons media_common Hydrology geography geography.geographical_feature_category business.industry Environmental resource management General Medicine Pollution Models Chemical Ranking Metals Spain Conceptual model Environmental science Neural Networks Computer Water quality business Water Pollutants Chemical Environmental Monitoring |
Zdroj: | Environmental Science and Pollution Research. 19:983-999 |
ISSN: | 1614-7499 0944-1344 |
Popis: | A conceptual model to assess water quality in river basins was developed here. The model was based on ecological risk assessment principles, and incorporated a novel ranking and scoring system, based on self-organizing maps, to account for the likely ecological hazards posed by the presence of chemical substances in freshwater. This approach was used to study the chemical pollution in the Ebro River basin (Spain), whose currently applied environmental indices must be revised in terms of scientific accuracy.Ecological hazard indexes for chemical substances were calculated by pattern recognition of persistence, bioaccumulation, and toxicity properties. A fuzzy inference system was proposed to compute ecological risk points (ERP), which are a combination of the ecological hazard to aquatic sensitive organisms and environmental concentrations. By aggregating ERP, changes in water quality over time were estimated.The proposed concurrent neuro-fuzzy model was applied to a comprehensive dataset of the network controlling the levels of dangerous substances, such as metals, pesticides, and polycyclic aromatic hydrocarbons, in the Ebro river basin. The approach was verified by comparison versus biological monitoring. The results showed that water quality in the Ebro river basin is affected by presence of micro-pollutants.The ERP approach is suitable to analyze overall trends of potential threats to freshwater ecosystems by anticipating the likely impacts from multiple substances, although it does not account for synergies among pollutants. Anyhow, the model produces a convenient indicator to search for pollutant levels of concern. |
Databáze: | OpenAIRE |
Externí odkaz: |