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Regulating Waste Discharge with Fuzzy Interval Effluent Limitations for Toxic Pollutants
Author(s) -
Yin Tong,
Stevens David K.
Publication year - 2007
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.1002/j.1554-7531.2007.tb00327.x
Subject(s) - enforcement , fuzzy logic , effluent , percentile , environmental science , pollutant , risk analysis (engineering) , engineering , environmental engineering , reliability engineering , computer science , business , statistics , mathematics , chemistry , organic chemistry , artificial intelligence , political science , law
Many traditional water quality standards are based on extreme percentiles; often, there is the risk of making wrong decisions with these standards because of high estimation uncertainty. Standards expressed as fuzzy intervals in the form of [trigger, enforcement limitation] make it possible to control the risks for the discharger and the consumer simultaneously. With fuzzy interval compliance, corrective action is initiated when the trigger is exceeded; noncompliance is declared when the enforcement limitation is exceeded. Fuzzy intervals would digest the risks that are inherent when a single enforcement limitation is used to determine compliance; the risks can be further lowered when the fuzzy intervals are based on less extreme percentiles. This paper proposes several alternatives to using a single extreme percentile standard for regulating water quality or waste discharge. A case study using municipal effluent water quality data was included that suggests methods to determine compliance with fuzzy interval standards.