Systems approach to evaluating sensor characteristics for real-time monitoring of high-risk indoor contaminant releases

Atmospheric Environment

Volumn 40, Issue 19, 2006, Pages 3490-3502

  Sreedharan, Priya ^a,b   Sohn, Michael D ^a   Gadgil, Ashok J ^a   Nazaroff, William W ^a,c  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Berkeley   (United States)

Author keywords

Bayes Monte Carlo; Buildings; Chemical sensor; Inverse modeling; Sensor system

Indexed keywords

BUILDINGS; CHEMICAL SENSORS; COMPUTER SIMULATION; IMPURITIES; INVERSE KINEMATICS; OPTIMIZATION; TOXIC MATERIALS;

BAYES MONTE CARLO; DESIGN TRADEOFFS; INVERSE MODELING; SENSOR SYSTEMS;

SYSTEMS ANALYSIS;

ACCIDENT PREVENTION; BAYESIAN ANALYSIS; DETECTION METHOD; INDOOR AIR; MONITORING SYSTEM; SENSOR; TOXIC SUBSTANCE;

ARTICLE; BAYES THEOREM; BUILDING; ELECTRONIC SENSOR; ENVIRONMENTAL MONITORING; INDOOR AIR POLLUTION; PRIORITY JOURNAL; SENSOR; UNITED STATES;

NORTH AMERICA; UNITED STATES; UTAH;

EID: 33646862815     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2006.01.052     Document Type: Article

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