The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models

Journal of Hazardous Materials

Volumn 300, Issue , 2015, Pages 433-442

  Wang, Bing ^a   Chen, Bingzhen ^a   Zhao, Jinsong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Artificial neural network; Chlorine release; Gas detectors; Gas dispersion; PHAST

Indexed keywords

ATMOSPHERIC MOVEMENTS; BALLOONS; CHEMICAL INDUSTRY; CHLORINE; GAS DETECTORS; GASES; HAZARDS; NEURAL NETWORKS;

ATMOSPHERIC CONDITIONS; CHLORINE RELEASE; GAS DISPERSION; METEOROLOGICAL PARAMETERS; PHAST; REAL-TIME ESTIMATION; RELEASE VELOCITIES; SPATIAL AND TEMPORAL DISTRIBUTION;

IONIZATION OF GASES;

CHLORINE;

ARTIFICIAL NEURAL NETWORK; CHLORINE; CONCENTRATION (COMPOSITION); CORRELATION; DATA SET; DISPERSION; ESTIMATION METHOD; HAZARDOUS WASTE; NUMERICAL MODEL; PREDICTION; SPATIOTEMPORAL ANALYSIS; TEMPORAL DISTRIBUTION; VELOCITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERE; GAS; GAS DETECTOR; GAS DISPERSION; GENERAL DEVICE; INTEGRATION; TIME PERCEPTION; TRAINING; VALIDATION STUDY; WEATHER;

EID: 84938078457     PISSN: 03043894     EISSN: 18733336     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2015.07.028     Document Type: Article

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