Mr. Wang is a Hydrogeologist and Groundwater Modeler with experience in a wide range of groundwater remediation, water supply, and mining projects, supporting permitting, Pre-Feasibility Studies (PFS), Feasibility Studies (FS), and Environmental Impact Statements (EIS) for the manufacturing, power, mining, oil and gas industries, and CERCLA sites. His expertise encompasses contaminant site assessment, remedial design and evaluation, dewatering, and water supply development. Mr. Wang is adept at leading groundwater projects from initiation to completion, developing scopes and proposals for small projects (<50K) and large projects (1M+), preparing technical reports, presenting findings to clients and regulatory agencies, and collaborating with junior staff to ensure project deadlines are met.

Specialized in utilizing groundwater flow and transport codes such as MODFLOW, MODPATH, and MT3DMDS, Mr. Wang has advanced skills in parameter estimation and uncertainty analysis using the PEST suite software. He is proficient in aquifer test analysis, data analytics, geospatial analysis, and 3D data visualization to address hydrogeologic and hydrologic challenges.

EDUCATION
  • MS, Hydrogeology, University of Nebraska, Lincoln, 2012
  • BE, Hydrology and Water Resources Engineering, Chang’An University, Xi’an, Shaanxi Province, China, 2009
LICENSES & CERTIFICATIONS
  • OSHA 40 Hours
  • First Aid CPR AED — Cintas
AREAS OF EXPERTISE
  • CSM Development
  • Geological Modeling
  • Groundwater Modeling
  • Transport Modeling
  • Spatial Data Analysis
  • Remediation System Design and Optimization
  • Data Visualization and Automation
  • Monitoring Network Design
PROGRAMMING
  • Python: proficient
  • SQL/PostgreSQL: proficient
  • Fortran: basic
MODELING CODES
  • MODFLOW, USGT, SURFACT, MODFLOW6, MT3DMS, SEAWAT, PEST, PEST_HP and PESTPP Suites
SOFTWARE
  • Groundwater Vistas, Groundwater Desktop, Leapfrog, ArcGIS, QGIS, Global Mapper Earth Volumetric Studio Surfer
TRAINING
  • ARIMA Models in Python
  • Visualizing Time Series Data in Python
  • Time Series Analysis in Python
  • Anne Arundel Community College: Relational Databases and SQL; Computer Science II (C++); and Computer Science I (Java)
  • Introduction to Object Oriented Programming (Java)
  • Introduction to Fortran Programming for Groundwater Modelers online webinars (ESI)
AWARDS AND HONORS
  • Best Undergraduate Thesis (3 of 87), “Exploited Situation of Geothermal Groundwater and Feasibility of Geothermal Injection in Xi’an City: 2009
PROFESSIONAL SOCIETIES
  • National Ground Water Association (NGWA)
REPRESENTATIVE EXPERIENCE (Coming Soon)

Mr. Wang recently joined SSP&A. His representative projects will be added in the near future.

PUBLICATIONS & PRESENTATIONS

  • Wang, J., Kladias, M.P., Divine, C., Killingstad, M. Evaluation of the Probabilistic Capture Performance of Horizontal Reactive Treatment Well (HRX Well®). Presentation at 2023 PEST Conference.

  • Wang, J., Killingstad. M., and Khambhammettu, P. Application of Time-Series Analysis to Quantify Hydraulic Influence of a Pump and Treat System to Help Assess Capture. Presented at the 2022 MODFLOW and More Conference.

  • Wang, J., Killingstad, M., Kladias, M.P., Khambhammettu, P., and Potter, S.T. Building a Better Mousetrap: The Evolution of MODALL. Presented at the 2022 MODFLOW and More Conference.

  • Divine, C., Wright, J., Crimi, M., Devlin, J.F., Lubrecht, M., Wang, J., McDonough, J., Kladias, M., Hinkle, J., Cormican, A., Osorno, T., Nzeribe, B.N., Laramay, F., Ombalski, D., Gerber, K., and Anders, H., 2020. Field Demonstration of the Horizontal Treatment Well (HRX Well®) for Passive In Situ Remediation. Groundwater Monitoring and Remediation, vol 40, no. 3: 42-54. doi: 10.1111/gwmr.12407

  • Divine, C.E., Wright, J., Wang, J., McDonough, J., Kladias, M., Crimi, M., Nzeribe, B.N., Devlin, J.F., Lubrecht, M., Ombalski, D., Hodge, B., Voscott, H., and Gerber, K. 2018. The horizontal reactive media treatment well (HRX well®) for passive in situ remediation: Design, implementation, and sustainability considerations. Remediation Journal 28: 5–16.

  • Divine, C.E., Wang, J., and Crimi, M. 2018. Reply to comments. Groundwater Monitoring & Remediation 38, no. 3: 15–16.

  • Wohlford, T., Wang, Z. 2014. Groundwater Explorations in the Western Salta Province, Argentina. American Institute of Professional Geologists.

  • Chen, X.H., Dong, W., Ou, G., Wang, Z., and Liu, C. 2013. Gaining and losing stream reaches have opposite hydraulic conductivity distribution patterns. Hydrology and Earth System Sciences 17(7), 2569–2579. doi: 10.5194/hess-17-1-2013

  • Dong, W., Ou, G., Chen, X.H., and Wang, Z. 2013. Effect of temperature on streambed vertical hydraulic conductivity. Hydrology Research 44. doi: 10.2166/nh.2013.021

  • Wang, Z., Chen, X.H. 2013. Integration of geologic model into groundwater model to characterize the stream aquifer interaction in the Elkhorn River Basin, Nebraska. 2013 MODFLOW and More Conference Paper.