Mr. Manzella is a geologist focused on hydrology and hydrogeology, geophysics, and surface processes. He provides technical support in the design and optimization of remedial systems, numerical modeling of groundwater contaminant flow and transport, analysis of environmental data, and geologic and geophysical evaluations. Modeling applications include the MODFLOW suite of codes for structured and unstructured grids, and post-processing tools including FloPy, Groundwater Vistas, CTech EVS, Leapfrog, ArcGIS Pro, and Surfer. Field experience includes providing Tier 1 drilling contractor oversight, conducting groundwater sampling, and field data collection, analysis, and reporting. Proficient with Python and R.

EDUCATION
  • MS, Geological Sciences (focus on Hydrogeology), University at Buffalo, New York, 2023
  • BS, Geological Sciences, University at Buffalo, New York, 2021
LICENSES & CERTIFICATIONS

40-hour HAZWOPER

AREAS OF EXPERTISE
  • Hydrogeologic Modeling
  • Groundwater Remedy Design
  • Geophysics
  • Surface Processes
  • Hydrology
PROFESSIONAL SOCIETIES
REPRESENTATIVE PROJECTS
Sparton Technology Remediation
Sparton Technology Remediation

Sparton Technology Remediation

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PUBLICATIONS & PRESENTATIONS

  • Wang, Z., Manzella, L., Muffels, C., Bedekar, V. 2026. An Appealing Approach to Represent Hydraulic Barrier Wall: Using the Connected Linear Network (CLN) Package. Presented at Groundwater Modeling and More 2026: From Raindrop to Reservoir, Princeton, New Jersey, June 8.

  • Manzella, A.L. and Schuetz, J., 2024. Leveraging Open Source Options To Improve Groundwater Modeling Capabilities, Validation, and Verification. Battelle Chlorinated Conference, June 2-6.

  • Manzella, A.L.; Lowry, C., 2023. Leveraging Low-Cost Micro-Controllers to Quantify Groundwater Flux, GSA Joint Southeastern & Northeastern, Reston, Virginia, March 17-19. doi: 10.1130/abs/2022AM-380299