@article{59166,
  keywords = {Contam, Optimization, Indoor airflow, Sampler networks},
  author = {Travis Walter and David M Lorenzetti and Michael D Sohn},
  title = {Siting Samplers to Minimize Expected Time to Detection},
  abstract = {<p>We present a probabilistic approach to designing an indoor sampler network for detecting an accidental or intentional chemical or biological release, and demonstrate it for a real building. In an earlier article, Sohn and Lorenzetti developed a proof of concept algorithm that assumed samplers could return measurements only slowly (on the order of hours). This led to optimal {\textquotedblleft}detect to treat{\textquotedblright} architectures that maximize the probability of detecting a release. This article develops a more general approach and applies it to samplers that can return measurements relatively quickly (in minutes). This leads to optimal {\textquotedblleft}detect to warn{\textquotedblright} architectures that minimize the expected time to detection. Using a model of a real, large, commercial building, we demonstrate the approach by optimizing networks against uncertain release locations, source terms, and sampler characteristics. Finally, we speculate on rules of thumb for general sampler placement.</p>},
  year = {2012},
  booktitle = {Risk Analysis},
  journal = {Risk Analysis},
  series = {Risk Analysis},
  volume = {32},
  pages = {2032 - 2042},
  month = {12/2012},
  doi = {10.1111/j.1539-6924.2012.01820.x},
}