Bio
Dr. Perez is a postdoctoral research associate in the Watershed System Modeling Group at the Climate Change Science Institute at ORNL. His research combines numerical modeling of physical-based hydrological processes with stochastic processes theory, with the main goal of dissecting the roles of rainfall and land surface process interactions in producing surface and subsurface flow at a wide range of temporal and spatial scales. He is interested in high-performance computing, hydroclimate impact assessment, flood frequency analysis, stochastic modeling, remote sensing, machine learning, groundwater modeling, and hyporheic exchange modeling.
Before joining ORNL, Dr. Perez worked as a postdoctoral scholar at Vanderbilt University. He received his Ph.D. in Hydraulics and Water Resources from the University of Iowa, an M.S. in Water Resources, and a B.S. in Civil Engineering from the National University of Colombia at Medellin.
Other Publications
Papers Published in Refereed Journals
- Perez, G., Gomez-Velez, J. D., & Grant, S. B. (2023). The sanitary sewer unit hydrograph model: A comprehensive tool for wastewater flow modeling and inflow-infiltration simulations. Water Research, 120997. https://doi.org/https://doi.org/10.1016/j.watres.2023.120997
- Perez, G., Gomez-Velez, J. D., Chen, X., & Scheibe, T. (2023). The directional unit hydrograph model: Connecting streamflow response to storm dynamics. Journal of Hydrology, 627, 130422. https://doi.org/10.1016/j.jhydrol.2023.130422
- Krajewski, W. F., Otto, L., Vishwakarma, S., Perez, G. (2023). Revisiting Turcotte’s approach: flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 37(5). https://doi.org/10.1007/s00477-022-02344-6
- Grant, S.B; Rippy, M; Birkland, T; Schenk, T; Rowles, K; Aminpour, P; Kaushal, S; Vikesland, P; Berglund, E; Gomez-Velez, J; Hotchkiss, E; Perez, G; Zhang, H; Armstrong, K; Bhide, S; Krauss, L; Maas, C; Mendoza, K; Shipman, C; Zhang, Y; Zhong, Y. (2022) “Can Common Pool Resource theory catalyze stakeholder-driven solutions to the freshwater salinization syndrome?” Environmental Science & Technology, https://doi.org/10.1021/acs.est.2c01555
- Perez, G., Gomez‐Velez. JD., Chen, X., Scheibe, T., Chen, Y., Bao, J. (2021) Identification of Characteristic Spatial Scales to Improve the Performance of Analytical Spectral Solutions to the Groundwater Flow Equation. Water Resources Research, 57(12) https://doi.org/10.1029/2021WR031044
- Perez, G., Gomez‐Velez, JD., Mantilla, R., Wright, D., Li, Z. (2021) The Effect of Storm Direction on Flood Frequency Analysis. Geophysical Research Letters, 48(9):1–10. https://doi.org/10.1029/2020GL091918
- Quintero, F., Krajewski, W. F., Muste, M., Rojas, M., Perez, G., Johnson, S. J., Anderson, A., Hunemuller, T., Cappuccio., B., & Zogg, J. (2021). Development of synthetic rating curves: A case study in Iowa. Journal of Hydrologic Engineering, 1–12. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002022
- Perez, G., Mantilla, R., Krajewski, W. F., & Quintero, F. (2019). Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall‐Runoff Events with Implications on Regionalization of Peak Flow Quantiles. Water Resources Research, 2019WR026028. https://doi.org/10.1029/2019WR026028 .
- Perez, G., Mantilla, R., Krajewski, W. F., & Wright, D. B. (2019). Using Physically Based Synthetic Peak Flows to Assess Local and Regional Flood Frequency Analysis Methods. Water Resources Research, 2019WR024827. https://doi.org/10.1029/2019WR024827 .
- Perez, G., Mantilla, R., & Krajewski, W. F. (2018). Estimation of Historical-Annual and Historical-Monthly Scale-Invariant Flow Duration Curves with Implementation for Iowa. Journal of Hydrologic Engineering, 23(12), 05018021. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001707 .
- Perez, G., Mantilla, R., & Krajewski, W. F. (2018). The Influence of Spatial Variability of Width Functions on Regional Peak Flow Regressions. Water Resources Research, 54(10), 7651–7669 https://doi.org/10.1029/2018WR023509.
Book Chapters
- Perez, G., Mantilla, R., & Krajewski, W. F. (2018). Spatial patterns of peak flow quantiles based on power-law scaling in the Mississippi River basin. In A. A. Tsonis (Ed.), Thirty Years of Nonlinear Dynamics in Geosciences. Springer. https://doi.org/10.1007/978-3-319-58895-7_23