SHORT-TERM FORECASTING OF METHANE EMISSION LEVELS USING CONTINUOUSLY MONITORED DATA
The methods of data collection suitable for providing the high quality information required for empirical modelling are outlined. Past work in the field of empirical gas emission models is reviewed. Two methods of modelling the shift by shift variations of methane emission levels are described, the first being a constrained empirical algorithm and the second a theoretical model. Also included is a demonstration of how such models can highlight the development of dangerous situations. An assessment is made of the factors to be considered in examining variations in monitored data. An analytical model of gas emissions for non-steady advance rates is appended.
Bibliographic Reference: EUR 12326 EN (1989) 66 PP., MF, ECU 4, BLOW-UP COPY ECU 6.25 AVAILABLE FROM THE OFFICE FOR OFFICIAL PUBLICATIONS OF THE EUROPEAN COMMUNITIES, L-2985 LUXEMBOURG
Availability: Can be ordered online
Record Number: 1989128014000 / Last updated on: 1990-11-09
Available languages: en