Mr. Scantlebury has worked on small- and large-scale environmental projects that have involved surveying, soil and water sampling, evaluating spatial and time-series data, and the design, development, maintenance, and calibration of groundwater models. Using his knowledge of various programming languages (Python, R, C++, Fortran, VBA), he has created advanced statistical analysis and visualization tools to aid in modeling, performance evaluation, and environmental investigation projects.

His current PhD research centers on the modeling of complex groundwater-surface water interactions in the Scott Valley to aid in water use optimization and stream depletion mitigation.

EDUCATION
  • PhD, Hydrologic Sciences, University of California, Davis (in progress)
  • MASc, Civil & Environmental Engineering (Water), University of Waterloo, 2021
  • BS, Environmental Engineering, Portland State University, 2014
AREAS OF EXPERTISE
  • Modeling of Groundwater and Surface Water Systems
  • Software Development
  • Data Management and Visualization
  • Model Calibration
  • Spatial Analysis, GIS
REPRESENTATIVE EXPERIENCE
Bannister Federal Complex2024-11-25T22:15:30+00:00
Bannister Federal Complex site photo & Groundwater magazine

Bannister Federal Complex

, , ,
Aquifer Parameter Tool (Texture2Par) Development2024-12-06T22:38:50+00:00
Texture2Par SVSIM Examples

Aquifer Parameter Tool (Texture2Par) Development

,
Hanford Site Statistics and PHREEQC Geochemical Model2024-11-21T17:09:28+00:00

Hanford Site Statistics and PHREEQC Geochemical Model

, ,
PUBLICATIONS & PRESENTATIONS

  • Scantlebury, L., 2024. Scott Valley Airborne Electromagnetic Data Interpretation and Assimilation into a Groundwater-Surface Water Model. Presentation at California Water and Environmental Modeling Forum, Folsom, California, September 24.

  • Scantlebury, L., 2024. Balancing Agriculture, Salmon, and Climate Change: Water Management in Scott Valley, California. Towards Sustainable Groundwater In Agriculture 3rd International Conference, San Francisco, California, June 18.

  • Kouba, C., L. Scantlebury, T. Harter, 2024. Water Rights: Scott Valley Integrated Hydrologic Model (SVIHM) Webinar. California State Water Resources Control Board Webinar, February 15, 2024.

  • Scantlebury, L. and T. Harter, 2023. Texture-based Interpretation of Airborne Electromagnetic Data for Use in a Groundwater-Surface Water Model. AGU 2023 Fall Meeting, San Francisco, CA.

  • Bardsley A., D.E. Hammond, K. McNeill, L. Scantlebury, T. Harter, and L. Foglia, 2023. Combining Hydrological Modeling and Field Measurements to Evaluate the Impact of Irrigation Ditches on Groundwater Recharge and Salmon Habitat in Scott Valley, CA. AGU 2023 Fall Meeting, San Francisco, CA.

  • Tonkin, M., L. Scantlebury, V. Bedekar, M. Ou, J. Baer, M. Cayar, S. Ceyhan, S. Najmus, 2023. Effective Use of Airborne Electromagnetic (AEM) Data for Groundwater Modeling. Western Groundwater Congress, GRA, September 12-14, Burbank, CA.

  • Tonkin, M., V. Bedekar, M. Ou, L. Scantlebury, J. Baer, M. Cayar, S. Ceyhan, and S. Najmus, 2023. Aquifer Parameterization with Texture2Par Incorporating Airborne Electromagnetic (AEM) Survey Data and Hydrogeological Conceptual Modeling (HCM). California Water & Environmental Modeling Forum (CWEMF), April 17-19, Folsom, CA.

  • Weigel, A., L. Scantlebury, C. Kouba, and T. Harter, 2022. Stream Reconnection Dynamics after Dry Season Baseflow Drought. AGU 2022 Fall Meeting.

  • Scantlebury, L. and T. Harter, 2022. A Tale of Two Droughts–Analysis of Changing Hydrology in the Scott Valley Watershed, California. AGU Fall Meeting Abstracts 2022, H22O-0989, Chicago, Illinois.

  • Scantlebury, L., V. Bedekar, M. Karanovic, M. Tonkin, 2022. Texture2Par: A Parsimonious Hydraulic Parameter Estimation Utility for IWFM and MODFLOW. Western Groundwater Congress, GRA, September 19-21, Sacramento, CA.

  • Chlumsky, R., J. R. Craig, S.G.M. Lin, S. Grass, L. Scantlebury, G. Brown, and R. Arabzadeh. 2022. RavenR v2.1.4: An Open-Source R Package to Support Flexible Hydrologic Modelling. Geoscientific Model Development, 15(18), 7017–7030.

  • Scantlebury, L., 2021. Pragmatic Groundwater-Surface Water Model Coupling with Unstructured Grids. UWSpace. http://hdl.handle.net/10012/17176.

  • Scantlebury, L., and J. R. Craig, 2020. The Polyline Boundary Junction Package: A Novel Method for Incorporating Linear Features in Voronoi Grids. AGU 2020 Fall Meeting poster.

  • Bedekar, V., L. Scantlebury, S. Panday, and C. Langevin, 2019. Axisymmetric Modeling with Unstructured Grids of MODFLOW-USG and MODFLOW 6. MODFLOW and More 2019, June 2-5, Golden, CO.

  • Bedekar, V., L. Scantlebury and S. Panday, 2019. Axisymmetric Modeling using MODFLOW-USG. Groundwater. 57. doi: 10.1111/gwat.12861

  • Bedekar, V., L. Scantlebury, M. Karanovic and M. Tonkin, 2019. Texture2Par: A Parameterization Utility for IWFM and MODFLOW. Presentation at California Water and Environmental Modeling Forum, Folsom, California

  • Muffels, C., L. Scantlebury, X. Wang, C.J. Neville, M. Tonkin, M. Ramadhan and J. Craig, 2018. User’s Guide for mod-PATH3DU, a Groundwater Path and Travel-time Simulator, Version 2.0.0, S.S. Papadopulos & Associates, Inc., Bethesda, Maryland. http://mp3du.sspa.com/man/

  • Scantlebury, L., 2014. Small-scale Minimal-maintenance Anaerobic Digestion of Food Waste for Solids Reduction and Methane Production: Feasibility Study, Civil and Environmental Engineering Undergraduate Honors Theses. 3.