Plume Tracking

Plume Tracking is a distributed sensing methodology that specifically identifies, monitors, and predicts the spatiotemporal evolution of contaminant plumes in environmental media by integrating in situ sensor data with dynamic dispersion models.

190

Publications

8.3K

Citations

670

Authors

281

Institutions

Publications per year

2017–2026

34

Authors

670

  1. MA
    Mark A. Willis

    Case Western Reserve University, United States

    7 publications · 282 citations

    7

    h-index

  2. JA
    Jay A. Farrell

    University of California, Riverside, United States

    6 publications · 1K citations

    6

    h-index

  3. SP
    Shuo Pang

    Embry–Riddle Aeronautical University, United States

    6 publications · 1K citations

    6

    h-index

  4. DR
    D. R. Webster

    Georgia Institute of Technology, United States

    6 publications · 366 citations

    6

    h-index

  5. TL
    Tien‐Fu Lu

    The University of Adelaide, Australia

    5 publications · 171 citations

    5

    h-index

1–5 of 670

Venues

  1. Journal of Volcanology and Geothermal Research

    7 publications · 427 citations

    7

    h-index

  2. Journal of Experimental Biology

    7 publications · 358 citations

    7

    h-index

  3. Atmospheric Environment (1967)

    5 publications · 73 citations

    5

    h-index

  4. Atmospheric Environment

    5 publications · 296 citations

    5

    h-index

  5. IEEE Transactions on Robotics

    4 publications · 422 citations

    4

    h-index

1–5