Environmental Systems Engineering

1. Introduction.- Systems engineering.- Biological concepts.- Programming for systems applications.- Old reliable languages.- Newer languages.- Equation solvers.- 2. SIMULATION.- SIMBAS, SIMulation in BASic.- Guide for writing simbas programs.- Dissolved oxygen sag curve.- Tricks with simbas.- 3. Process Dynamics.- Dynamic analysis.- Forcing functions.- Controllers.- Distance-velocity lag.- Templates for graphical design or analysis.- Stability.- Linearity.- Open- and closed-loop responses.- Bode diagrams in matlab.- Feedforward control.- Programs for dynamic analysis.- 4. Databases.- Database management.- Spreadsheets.- Electronic databases.- 5. COMPUTER MODELS.- Philosophy.- Curve fitting.- Growth-rate relationships.- Clemson model of activated sludge.- Partial differential equations.- Plume models for air pollution.- Estuarine contaminant simulator.- Fugacity approach.- Observers.- Cellular automata models.- Conclusions.- 6. Hydraulic Networks.- Network principles.- Pipe networks.- More complicated networks.- Software for processes.- 7. Neural Networks.- How many boxes and hidden layers?.- Neural algorithms.- Commercial shells for neural networks.- Discussion.- Bioprocess monitoring and control.- Public domain programs.- 8. Expert Systems.- Common expert systems.- Advanced features of expert systems.- Commercial programs for expert systems.- Applications.- 9. Fuzzy Logic.- Fuzzy operations.- Fuzzy truth.- Fuzzy controllers.- Fuzzy approaches to state estimation.- A little more theory.- 10. Statistical Approaches.- Definitions.- Distributions.- Process performance.- Statistical features of spreadsheets.- Time series analysis.- Extreme value problems.- Independent variables.- Optimization.- Appendices A. Running Dos Programs.- B. INTRODUCTION TO A SPREADSHEET.- C. MATLAB PIPE NETWORK PROGRAM.