Skip to main content

Faculty Achievements

Categories:

Papers/Articles/publications:

Johnson T, Obereiner J, Khire MV. Longer-term temporal trends in PFAS concentrations in Midwestern landfill leachate. Waste Manag Research. 2023 Sep;41(9):1445-1452. doi: 10.1177/0734242X231160087.

Hoffman K, Holcomb D, Reckling S, Clerkin T, Blackwood D, Beattie R, et al. (2023) Using detrending to assess SARS-CoV-2 wastewater loads as a leading indicator of fluctuations in COVID-19 cases at fine temporal scales: Correlations across twenty sewersheds in North Carolina. PLOS Water 2(10): e0000140. https://doi.org/10.1371/journal.pwat.0000140

Adams, H., Hanigan, D., Marfil-Vega, R., Ryan, D., McCurry, D., Keen, O., Ash, S., and Southard, M. (2023) Operators need to know about organic contaminants. Opflow 49 (6) July/August issue, 10-17, cover story

Hua, C. and Fan, W., Dynamic Speed Harmonisation For Mixed Traffic Flow On The Freeway Using Deep Reinforcement Learning, Accepted for Publication, IET Intelligent Transport Systems, September 2023.

Liu, S., Fan, W., Jiao, S. and Li, A., The Performance of Connected and Autonomous Vehicles with Trajectory Planning in a Fixed Signal Controlled Intersection, Accepted for Publication, Promet – Traffic&Transportation, July 2023.

Song, L. and Fan, W., Performance of State-Shared Multi-Agent Deep Reinforcement Learning Controlled Signal Corridor with Platooning-Based CAVs, ASCE Journal of Transportation Engineering, Part A: System, Volume 149, Issue 8, June 2023.

Islam, M.M., Newaz, A., Song, L., Lartey, B., Lin, S-C, Fan, W., Hajbabaie, A., Khan, M.A., Partovi, A., Phuapaiboon, T., Homaifar, A., Karimoddini, A., Connected Autonomous Vehicles: State of Practice, Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2772, May 2023.

Moglen, G.E. (2023). Fundamentals of Open Channel Flow (second edition). CRC Press. ISBN 978-1-0322-0455-0. https://doi.org/10.1201/9781003263630 (Textbook)

Elias, E.H., Tsegaye, T.D., Hapeman, C.J., Mankin, K.R., Kleinman, P.J., Cosh, M.H., Coffin, A.W., Alfieri, J.G., Anderson, M.C., Baffaut, C., Baker, J.M., Bingner, R.L, Bjorneberg, D.L., Bryant, R.B., Gao, F., Gao, S., Heilman, P., Knipper, K.R., Kustas, W.P., Leytem, A.B., Locke, M.A., McCarty, G.W., McElrone, A.J., Moglen, G.E., Moriasi, D.N., O’Shaughnessy, S., Reba, M.L, Rice, P.J., Wang, D., White, M.J., Silber-Coats, N., Dombrowski, J.E., (2023). “A vision for integrated, collaborative solutions to critical water and food challenges.” Journal of Soil and Water Conservation. https://doi.org/10.2489/jswc.2023.1220A

Dangol, S., Zhang, X., Liang, X.-Z., Anderson, M., Crow, W., Lee, S., Moglen, G.E., and McCarty, G.W. (2023). “Multivariate calibration of the SWAT model using remotely sensed datasets.” Remote Sensing. https://doi.org/10.3390/rs15092417

Liang, K., Zhang, X., Liang, X.-Z., Jin, V.L., Birru, G., Schmer, M.R., Robertson, G.P., McCarty, G.W., and Moglen, G.E. (2023). “Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2023.162906

Lasco, J.D., and Moglen, G.E. (2023). “Hydrologic conservatism as a rationale for selecting NRCS initial abstraction ratio.” Journal of Hydrologic Engineering, ASCE. https://doi.org/10.1061/JHYEFF.HEENG-6016

Liang, K, Qi, J., Zhang, X., Emmett, B.D., Johnson, J.M.F., Malone, R.W., Moglen, G.E., Venterea, R.T., (2023). “Simulated nitrous oxide emissions from multiple agroecosystems in the U.S. Corn Belt using the modified SWAT-C model.” Environmental Pollution. https://doi.org/10.1016/j.envpol.2023.122537

Awards:

Olya Keen (PI), (2023-2028) Charlotte Water, “Environmental Services and Student Experiential Learning” $846,991

Wei Fan –

Projects:

Olya Keen (PI), Eboné Lockett (co-PI) (2022-2023) NC WRRI “Building agents of change within community through youth and resident education, career awareness and community science” In this project we worked with high school students from the local Title I schools.

Presentations:

Hua, C. and Fan, W., Dynamic Speed Harmonisation For Mixed Traffic Flow On The Freeway Using Deep Reinforcement Learning, Accepted for Publication, IET Intelligent Transport Systems, September 2023.

Liu, S., Fan, W., Jiao, S. and Li, A., The Performance of Connected and AutonomousVehicles with Trajectory Planning in a Fixed Signal Controlled Intersection, Accepted for Publication, Promet – Traffic & Transportation, July 2023.

Song, L. and Fan, W., Performance of State-Shared Multi-Agent Deep ReinforcementLearning Controlled Signal Corridor with Platooning-Based CAVs, ASCE Journal of Transportation Engineering, Part A: System, Volume 149, Issue 8, June 2023.

Islam, M.M., Newaz, A., Song, L., Lartey, B., Lin, S-C, Fan, W., Hajbabaie, A., Khan, M.A., Partovi, A., Phuapaiboon, T., Homaifar, A., Karimoddini, A., Connected Autonomous Vehicles: State of Practice, Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2772, May 2023.