Identification of river water quality using the Fuzzy Synthetic Evaluation approach

摘要: Proper identification of water quality conditions in a river system based on limited observations is an essential task for meeting the goals environmental management. Various classification methods have been used estimating changing status and usability surface basins. However, discrepancy frequently arises from lack clear distinction between each utilisation mode, uncertainty criteria employed vagueness or fuzziness embedded decision-making output values. Owing to inherent imprecision, difficulties always exist some conventional methodologies when describing integrated with respect various chemical constituents, biological aspects, nutrients, aesthetic qualities. This paper presents comparative study using three fuzzy synthetic evaluation techniques assess comparison outputs generated by procedures such as Water Quality Index (WQI). Based set data collected at seven sampling stations, case Tseng-Wen River Taiwan was demonstrate their application potential. The findings clearly indicate that may successfully harmonise discrepancies interpret complex conditions. A further, newly developed approach described this might also be useful verifying Total Maximum Daily Load (TMDL) program helpful constructing effective management strategy.