Superfund Research Program

Integrated IoT Sensing and Edge Computing Coupled with a Bayesian Network Model for Exposure Assessment and Targeted Remediation of Vapor Intrusion

Project Leader: Yongli Wager
Co-Investigator: Timothy Dittrich
Grant Number: P42ES030991
Funding Period: 2022-2027

Project-Specific Links

Publications

2023

• O'Leary BF, Hill AB, Linn C, Lu M, Miller CJ, Newman A, Sperone FG, Zhang Q. 2023. Exploring the association of Brownfield remediation status with socioeconomic conditions in Wayne County, MI. Environ Sci Pollut Res Int 30(21):60768-60776. doi:10.1007/s11356-023-26666-2 PMID:37039917 PMCID:PMC10163072
• Roostaei J, Wager YZ, Shi W, Dittrich T, Miller CJ, Gopalakrishnan K. 2023. IoT-based edge computing (IoTEC) for improved environmental monitoring. Sustain Comput 38:100870. doi:10.1016/j.suscom.2023.100870 PMID:37234690 PMCID:PMC10206678
• Teimoori S, Olya MH, Miller CJ. 2023. Groundwater level monitoring network design with machine learning methods. J Hydrol 625(PartB):130145. doi:10.1016/j.jhydrol.2023.130145