A probabilistic water quality index for river water quality assessment: A case study

Environmental Monitoring and Assessment

Volumn 181, Issue 1-4, 2011, Pages 465-478

  Nikoo, Mohammad Reza ^a   Kerachian, Reza ^a   Malakpour Estalaki, Siamak ^a   Bashi Azghadi, Seyyed Nasser ^c   Azimi Ghadikolaee, Mohammad Mahdi ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Bayesian networks (BNs); Fuzzy inference system (FIS); Probabilistic neural networks (PNNs); Water quality index (WQI); Water quality zoning

Indexed keywords

AVAILABLE WATER; BAYESIAN NETWORKS (BNS); CANADIAN COUNCIL OF MINISTERS OF THE ENVIRONMENTS; FUZZY INFERENCE SYSTEM (FIS); FUZZY INFERENCE SYSTEMS; INPUT-OUTPUT DATA; MONTE CARLO ANALYSIS; PROBABILISTIC NEURAL NETWORKS; PROBABILISTIC NEURAL NETWORKS (PNNS); RIVER WATER QUALITY; WATER QUALITY ASSESSMENTS; WATER QUALITY DATA; WATER QUALITY INDEX (WQI); WATER QUALITY INDEXES; WATER QUALITY MONITORING; WATER QUALITY MONITORING SYSTEMS;

BAYESIAN NETWORKS; DISTRIBUTED PARAMETER NETWORKS; FISH; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; INTELLIGENT NETWORKS; MONITORING; QUALITY ASSURANCE; RATING; WATER QUALITY;

QUALITY CONTROL;

RIVER WATER;

ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; EFFICIENCY MEASUREMENT; ENVIRONMENTAL MONITORING; FUZZY MATHEMATICS; MONTE CARLO ANALYSIS; PROBABILITY; RIVER WATER; SANITATION; WATER QUALITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CASE STUDY; ENVIRONMENTAL MONITORING; FUZZY SYSTEM; IRAN; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; QUALITY CONTROL; WATER ANALYSIS; WATER QUALITY;

BAYES THEOREM; ENVIRONMENTAL MONITORING; FUZZY LOGIC; NEURAL NETWORKS (COMPUTER); RIVERS; WATER POLLUTION, CHEMICAL;

IRAN; JAJROOD RIVER; TEHRAN [IRAN];

EID: 80054760989     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-010-1842-4     Document Type: Article

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