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Groundwater Modeling, Inverse Characterization, and Parallel Computing. Kumar Mahinthakumar NC State University. My Background. Numerical modeling of groundwater flow and transport Developed PGREM3D – P arallel G roundwater REM ediation model – 3D finite element

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Groundwater Modeling, Inverse Characterization, and Parallel Computing


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groundwater modeling inverse characterization and parallel computing

Groundwater Modeling, Inverse Characterization, and Parallel Computing

Kumar Mahinthakumar

NC State University

my background
My Background
  • Numerical modeling of groundwater flow and transport
    • Developed PGREM3D – Parallel Groundwater REMediation model – 3D finite element
    • GW2D – two dimensional educational models for groundwater flow and transport
  • High Performance Computing
    • Parallel algorithms, Solvers, Parallel performance analysis
  • Optimization and Inverse modeling
    • Groundwater source identification
    • Hydraulic conductivity inversion
    • Water distribution source identification and leak detection
    • Population based optimization algorithms (GA, PSO)
    • Markov Chain Monte Carlo Methods
groundwater remediation modeling using pgrem3d
Groundwater Remediation Modelingusing PGREM3D

Savannah River Site Investigation 1997

groundwater source identification 3 source release history reconstruction
Groundwater Source Identification: 3-Source release history reconstruction

sampling points

flow direction

11

10

12

1

2

3

14

13

15

6

5

4

(x2,y2,z2)

17

16

18

C3(t)

C1(t)

8

9

7

(x1,y1,z1)

167 m

C2(t)

333 m

Sources

C1(t), C2(t), C3(t) are the unknown release histories

hydraulic conductivity inversion using the pilot point method
Hydraulic Conductivity Inversion using the Pilot Point Method

Prior

True K-field

Inversion with Regularization

Inversion without Regularization

scalability of pso on ornl s jaguar supercomputer
Scalability of PSO on ORNL’s Jaguar Supercomputer

Jaguar PF: 299,008 AMD Cores

Weak Scaling of our PSO Simulation-Optimization framework Showing Over 80% efficiency up to 200,000 cores

wsc project tasks
WSC Project Tasks
  • Hydrologic Modeling (4.3)
    • PIHM – Penn-State Integrated Hydrologic Model for groundwater surface water interaction
    • SWAT-MODFLOW simulations
  • Water Infrastructure Models (4.4)
    • Groundwater pumping effects (MODFLOW or PGREM3D)
    • Reservoir model
  • Parallel computing
    • Ensemble reservoir stream flow calculations