Abstract
In recent years, fuzzy-logic-based methods have demonstrated to be appropriated to address uncertainty and subjectivity in environmental problems. In the present study, a methodology based on fuzzy inference systems (FIS) to assess water quality is proposed. A water quality index calculated with fuzzy reasoning has been developed. The relative importance of water quality indicators involved in the fuzzy inference process has been dealt with a multi-attribute decision-aiding method. The potential application of the fuzzy index has been tested with a case study. A data set collected from the Ebro River (Spain) by two different environmental protection agencies has been used. The current findings, managed within a geographic information system, clearly agree with official reports and expert opinions about the pollution problems in the studied area. Therefore, this methodology emerges as a suitable and alternative tool to be used in developing effective water management plans.
| Original language | English |
|---|---|
| Pages (from-to) | 733-742 |
| Number of pages | 10 |
| Journal | Environment International |
| Volume | 32 |
| Issue number | 6 |
| DOIs | |
| State | Published - Aug 2006 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 6 Clean Water and Sanitation
Keywords
- Analytic hierarchy process
- Fuzzy inference systems
- Water management
- Water quality standards
Fingerprint
Dive into the research topics of 'Assessing water quality in rivers with fuzzy inference systems: A case study'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver