The accidental release of industrial and agricultural chemicals can pose a serious threat to life and the environment. Therefore, researchers have been exploring detection methods of commonly transported chemicals in order to minimize potential harm or destruction in response to an accidental release. One method is to use a network of commercial sensors to track a chemical spill but with each sensor costing upwards of $600, this type of network can become prohibitively expensive and may not be practical for real world use. Specifically, we aimed to develop a network of custom electrical conductivity sensors with each sensor made from an inexpensive Arduino board showing comparable detection results while costing an order of magnitude less. In our experiments, the network of sensors covered 83 in2 in a container filled with different types of water (e.g. deionized, melted snow, sea, river, and tap). The network of custom sensors showed high ammonia concentrations near the release point of an initial laboratory scale ammonia release with low ammonia concentrations away from the release point. As equilibrium was reached, the sensors showed the same ammonia reading. Additionally, a 2-D map was made to track the simulated ammonia spill overtime. Overall, this works shows that this network of custom Arduino sensors can be used to map the detection of accidental ammonia release as an inexpensive replacement for the commercial sensors, which will promote accessibility of future testing for the broader community.
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