biostudies-literatureMano ZIsraeli Ministry of Environmental ProtectionIsraeli ministry of Science & Technology3808https://www.ebi.ac.uk/biostudies/studies/S-EPMC9147153biostudies-literatureUnknown22(10)Air pollution is one of the prime adverse environmental outcomes of urbanization and industrialization. The first step toward air pollution mitigation is monitoring and identifying its source(s). The deployment of a sensor array always involves a tradeoff between cost and performance. The performance of the network heavily depends on optimal deployment of the sensors. The latter is known as the location-allocation problem. Here, a new approach drawing on information theory is presented, in which air pollution levels at different locations are computed using a Lagrangian atmospheric dispersion model under various meteorological conditions. The sensors are then placed in those locations identified as the most informative. Specifically, entropy is used to quantify the locations' informativitySensors (Basel, Switzerland)Information Theory Solution Approach to the Air Pollution Sensor Location-Allocation Problem.PMC9147153162-7-13-15628Mano ZFishbain BKendler SfalseInformation Theory Solution Approach to the Air Pollution Sensor Location-Allocation Problem.Air pollution is one of the prime adverse environmental outcomes of urbanization and industrialization. The first step toward air pollution mitigation is monitoring and identifying its source(s). The deployment of a sensor array always involves a tradeoff between cost and performance. The performance of the network heavily depends on optimal deployment of the sensors. The latter is known as the location-allocation problem. Here, a new approach drawing on information theory is presented, in which air pollution levels at different locations are computed using a Lagrangian atmospheric dispersion model under various meteorological conditions. The sensors are then placed in those locations identified as the most informative. Specifically, entropy is used to quantify the locations' informativity2022-01-01T00:00:00Z2022 May2025-04-18T23:00:17.7Z2025-04-07T10:41:42.052ZS-EPMC91471533563221810.3390/s22103808