A Systems Analysis for Air Quality in Urban Ecology

Abstract

In order to describe the mode of operation of a networked system, a systems dynamics algorithm was designed for the topic of air pollution control. With the help of a matrix multiplication, this systems dynamics approach facilitates assessment of necessary measures for improved air quality (and its effects) to be simulated and assessed in a practical-minded quick overview. It turns out that for a desired long-term improvement in air quality measures that can be derived from the field of social sciences are at least as effective as technological measures that address the emitter directly. This is due to the fact that control loops become effective in a networked system which, in the case of amplification, can unleash a great effect while necessitating only relatively little effort.