A preliminary coupled MT-GA model for the prediction of highway runoff quality

Science of the Total Environment

Volumn 407, Issue 15, 2009, Pages 4490-4496

  Opher, Tamar ^a   Friedler, Eran ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Data driven model (DDM); Event mean concentration (EMC); Genetic algorithm (GA); Highway runoff; Model tree (MT)

Indexed keywords

CALIFORNIA , USA; DATA SETS; DATA-DRIVEN MODEL; DATA-DRIVEN MODEL (DDM); ENVIRONMENTAL RESEARCHES; EVENT MEAN CONCENTRATION (EMC); EVENT MEAN CONCENTRATIONS; EXPLANATORY VARIABLES; HIGHWAY RUNOFF; HIGHWAY RUNOFF POLLUTANTS; INPUT VALUES; MANAGEMENT STRATEGIES; MODEL TREE (MT); MODEL TREES; NON-POINT SOURCE; POLLUTANT LOADS; PREDICTIVE MODELS; RAINFALL EVENT; ROAD PAVEMENTS; RUNOFF WATER; VERIFICATION DATA;

CHROMIUM; DROUGHT; ELECTROMAGNETIC COMPATIBILITY; GENETIC ALGORITHMS; HIGHWAY SYSTEMS; PLASTIC MOLDS; POLLUTION; ROADS AND STREETS; RUNOFF; SENSITIVITY ANALYSIS; TELLURIC PROSPECTING; ZINC;

MATHEMATICAL MODELS;

CHROMIUM; LEAD; RUNOFF; ZINC;

ESTIMATION METHOD; PAVEMENT; PREDICTION; RUNOFF; WATER QUALITY;

ACCURACY; ARTICLE; CALIBRATION; CHEMICAL MODEL; CONTROLLED STUDY; EXPLANATORY VARIABLE; GENETIC ALGORITHM; HIGHWAY; MODEL; MODEL TREE; PREDICTION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; UNITED STATES; WATER POLLUTANT; WATER QUALITY;

CALIFORNIA; ENVIRONMENTAL POLLUTANTS; MODELS, THEORETICAL; TRANSPORTATION;

CALIFORNIA; NORTH AMERICA; UNITED STATES;

EID: 66049110491     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2009.04.043     Document Type: Article

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