Modelling Air Pollution Crises Using Multi-agent Simulation

Abstract

This paper describes an agent based approach for simulating the control of an air pollution crisis. A Gaussian Plum air pollution dispersion model (GPD)is combined with an Artificial Neural Network (ANN) to predict the concentration levels of three different air pollutants. The two models (GPM and ANN) are integrated with a MAS (multi-agent system). The MAS models pollutant sources controllers and air pollution monitoring agencies as software agents. The population of agents cooperates with each other in order to reduce their emissions and control the air pollution. Leaks or natural sources of pollution are modelled as uncontrolled sources. A cooperation strategy is simulated and its impact on air pollution evolution is assessed and compared. The simulation scenario is built using data about Annaba (a city in North-East Algeria). The simulation helps to compare and assess the efficiency of policies to control air pollution during crises, and takes in to account uncontrolled sources.

Agent-Based Modeling In Urban Studies

“…Continuing the urban ecology theme, consider in more detail the model developed by Ghazi et al (2016) for comparative analysis of air pollution abatement measures. The model integrates two neural network and one agent module.…”

“…Another important result of the study was the conclusion that it is impossible in many cases to achieve a decrease in pollution indicators to the target level by administrative methods due to the existence of natural sources of pollution, which, in turn, is the basis for setting an applied problem of determining realistic benchmarks for pollution regulating organizations (Ghazi et al, 2016).…”

Towards a Collaborative Approach to Decision Making Based on Ontology and Multi-Agent System Application to crisis management

“…Generic × × CBR [10] SimlCrise Maritime Accident × × [11] Natural Disaster × × [12] Snow Storm × × (BDI) [13] Air pollution × × ANN [14] Artisan creation × × SPARQL [15] Urban logistics × × SPARQL [16] Search on the Web × × SPARQL [17] Firefighting × × [18] SWIMS Emergency traffic × × (BDI) Web Services OBG [19] SIMFOR All crisis × × (BDI) Serious Games [20] Aircraft accident × × (BDI)…”

MonitorApp: a web tool to analyze and visualize pollution data detected by an electronic nose

“…Consequences of this increased awareness is the attitude to a progressive reduction of air pollution, at least in Europe [1]. Pollution relates to chemical, but also physical and biological agents that usually are present in low percentages in the air [2] [3]. People living in high density populated cities and inside industrial areas surroundings are more exposed to this problem.…”