Prof. Sameh Saad - A Digital Model for 3D Characterization of Groundwater Quality Parameters Around a Landfill Site

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1. The document proposes a digital model using the multiquadric technique to characterize groundwater quality parameters in 3D from a limited number of sampling points, allowing for accurate and cost-effective monitoring. 2. The model was tested by developing a 3D representation of pH levels measured at various depths and locations near a landfill site. 3. Contour maps and 3D visualizations of the pH distributions showed the model could estimate values at unsampled points with high accuracy. Future work could expand the model to the fourth dimension of time for long-term monitoring of groundwater quality changes.

Technology

A Digital Model for 3D Characterization of Groundwater Quality Parameters around a Landfill Site ,[object Object],[object Object],[object Object]

Outlines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Objectives ,[object Object],[object Object],[object Object],[object Object]

Groundwater Quality Parameters Field Laboratory Geotechnical Temperature Water level pH Dissolved Oxygen Conductivity Chloride Nitrate Ammonium TDS … . Ca, Mg, K, Na, F, Cl, Br, NO2, S, HCO3, Li Cu, Fe, Pb , Zn,.. Others Tip resistance Pore pressure Permeability

Problem and Suggested Solution Sparsity of the data and limited number of penetration points Estimate the variable at non - sampled location within the defined domain in 3D Problem Target

Multiquadric Technique ,[object Object],[object Object],[object Object],[object Object],[object Object]

Development of the 3D Methodology ,[object Object],[object Object],[object Object]

Computer Program ,[object Object],[object Object],[object Object]

INPUT-1 Original measured pH observations at one of the 37 penetration points. Other Variables: Cations: Ca and Mg Anions: Br and HCO 3 Others: Temp & conductivity Program 1: Poly.m MATLAB MACRO To fit the data within the depth using Polynomial Function ,[object Object],[object Object],Example of “Cof.dat” output 2.7068e-4 – 0.0149 0.2899 -2.2988 12.8701 2.6589e-5 -1.9676e-3 .05145 – 0.5595 8.695 -2.225e-6 2.118e-4 4.056e-3 – 0.232 8.547 4.521e-4 -1.876e-2 0.252 -1.210 8.728 4.811e-5 -2.785e-3 5.668e-2 – 0.488 8.207 -2.757e-5 1.328e-3 -1.356e-2 – 0.113 7.835 -1.686e-4 7.655e-3 – 0.112 0.584 6.702

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Input3.dat 37 4 3 5.0 10.0 15.0 20.0 Program 2: Cof.f Fortran program ,[object Object],[object Object],[object Object],[object Object],[object Object],Phsl.dat 6.927060 6.954450 7.513961 6.912077 6.867423 7.079912 7.664041

Modelling Methodology ,[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],input.dat a 6 60 60 20 20 800.0 200.0 5. 10. 15. 20. 60 25 20 1 200.0 0.0 3 900.0 1300.0 1900.0 Program 3: Sections.f Fortran program XXYY.DAT A grid 20x20m generated inside the program for XY plane ,[object Object],[object Object],[object Object],YYZZ.DAT A grid 20x1m generated inside the program for YZ plane

Results: Contour Maps and 3D Representation of pH X-section and 3D representation of pH at Z = 10m.

Distribution of pH values along the XY plane at four depths and one cross-section in YZ plane

X,Y co-ordinates for 37 points and their pH values at 4 different levels No X (m) Y (m) pH1 pH 2 pH 3 pH 4 pH 2 (est.) Diff 1 43.5 1102.0 6.8 7.2 7.0 7.1 7.1999 0.0001 2 175.6 1880.4 6.0 5.9 6.0 6.1 5.8998 0.0002 3 200.0 500.0 7.2 7.1 6.9 7.3 7.1000 0.0 4 245.2 1340.0 7.7 7.8 7.4 7.8 7.7999 0.0001 34 1256.0 1452.0 9.4 9.3 9.2 9.0 9.2999 0.0001 35 1266.5 625.7 9.0 8.8 8.7 9.2 8.8000 0.0 36 1400.0 1250.0 8.6 8.6 8.4 8.2 8.5999 0.0001 37 1571.8 2228.2 8.9 8.6 8.9 9.1 8.5998 0.0002

Ranges of tested water quality parameters Range Mean Max. Min. 4.1 8.262 10 5.9 pH 100 220.824 275 175 EC 9.2 5.010 10.0 0.8 DO

Conclusions ,[object Object],[object Object],[object Object],[object Object]

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Prof. Sameh Saad - A Digital Model for 3D Characterization of Groundwater Quality Parameters Around a Landfill Site

4. Groundwater Quality Parameters Field Laboratory Geotechnical Temperature Water level pH Dissolved Oxygen Conductivity Chloride Nitrate Ammonium TDS … . Ca, Mg, K, Na, F, Cl, Br, NO2, S, HCO3, Li Cu, Fe, Pb , Zn,.. Others Tip resistance Pore pressure Permeability

5. Sources of Groundwater Contamination

6. Landfills

7. Landfills and Groundwater

8. Groundwater Sampling Techniques

9. Problem and Suggested Solution Sparsity of the data and limited number of penetration points Estimate the variable at non - sampled location within the defined domain in 3D Problem Target

10. Methods of Point Estimation

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18. Results: Contour Maps and 3D Representation of pH X-section and 3D representation of pH at Z = 10m.

19. Distribution of pH values along the XY plane at four depths and one cross-section in YZ plane

20. X,Y co-ordinates for 37 points and their pH values at 4 different levels No X (m) Y (m) pH1 pH 2 pH 3 pH 4 pH 2 (est.) Diff 1 43.5 1102.0 6.8 7.2 7.0 7.1 7.1999 0.0001 2 175.6 1880.4 6.0 5.9 6.0 6.1 5.8998 0.0002 3 200.0 500.0 7.2 7.1 6.9 7.3 7.1000 0.0 4 245.2 1340.0 7.7 7.8 7.4 7.8 7.7999 0.0001 34 1256.0 1452.0 9.4 9.3 9.2 9.0 9.2999 0.0001 35 1266.5 625.7 9.0 8.8 8.7 9.2 8.8000 0.0 36 1400.0 1250.0 8.6 8.6 8.4 8.2 8.5999 0.0001 37 1571.8 2228.2 8.9 8.6 8.9 9.1 8.5998 0.0002

21. Ranges of tested water quality parameters Range Mean Max. Min. 4.1 8.262 10 5.9 pH 100 220.824 275 175 EC 9.2 5.010 10.0 0.8 DO

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27. Thanks for your attention

Editor's Notes

7th International Conference
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Prof. Sameh Saad - A Digital Model for 3D Characterization of Groundwater Quality Parameters Around a Landfill Site

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Prof. Sameh Saad - A Digital Model for 3D Characterization of Groundwater Quality Parameters Around a Landfill Site

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