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Prof.S.Chidambaram Department of Earth sciences Annamalai University India chidambaram_s@rediffmail.com A review on the hydrogeochemical research and its future perspectives
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IsotopesSGDGeophysicalLithologicalHYDROGEOCHEMISTRYGeneral ionsRS GISStatistical Geochemical modeling QualityProcess Heavy metals Ion SpecificUtility
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Quality - Utility
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SEASONSpHECTDSCaMgNaKClHCO 3 SO 4 H4SiO 4 PO 4 NO 3 SPRM8.809848.005908.00180.00184.801898.20538.702064.80634.40278.00108.003.65187.00 SPOM8.707845.007630.00148.00108.00813.90572.602150.00719.80216.00112.0017.09145.00 DPRM7.806910.004422.40141.00111.001330.00114.001823.00540.00604.48120.338.75147.00 DPOM7.604790.483065.90150.0091.50672.00176.001549.00732.00380.00141.005.50169.00 WHO 2004 6.5-8.5-50075<30200- - --50 BIS 1991 6.5-8.5-5007530--200- --45 Drinking water quality
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Wilcox diagram Agricultural water quality
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WATCLAST- program Other water quality parameters (Chidambaram et al 2004)
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Quality – Ion Specific Fluoride Uranium Arsenic
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Fig: 5.31a. Spatial distribution of F - of NEM Fig: 5.31b. Spatial distribution of F - of POM Fig: 5.31c. Spatial distribution of F - of SUM Fig: 5.31d. Spatial distribution of F - of SWM Fluoride
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Uranium
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Spatial distribution of As for groundwater samples (All values in µg/l)) Maximum, Minimum and Average of Arsenic (All values in µg/l)) Arsenic
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Process – General Ion
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Piper facies diagram Modified Doneen’s plot Gibbs plot Relationship of log pCO 2 to Ionic Strength Standard plots
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Thermo dynamic stability
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Sea water intrusion
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Saturation index
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Process – Lithology
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Relative mobility of cations in Rock Water Interaction studies Relative mobility
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Lithological charecterisation
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Process – Metals
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Process – RS and GIS
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Parameters Classification based on quality Standards by BIS & WHO Measured FormationPRMSWMNEMPOM GoodModerateUnsuitableDesirablePermissible Min.Max.Min.Max.Min.Max.Min.Max. EC (µS/cm) <780 780 – 3125 >31257801400 Alluvium 31425963092899231.425133002352 Upper Cuddalore 221.727133330189.91490173.91367168.4 Lower Cuddalore 2701432227.32100230.71554219.71534 Cretaceous 186.52164200.52297216.42756202.42241 TH (Ca&Mg) (mg/l) <300300-600>600300600 Alluvium 35.2120.839.2121.639.2155.239.2191.2 Upper Cuddalore 42.4139.244.318836.1158.417.2296 Lower Cuddalore 57.6252.836.823228.8227.432.8287.2 Cretaceous 47.219328.613035.216633.6222 Sodium (mg/l) <200200-300>300200- Alluvium 20517.211.92872631248314 Upper Cuddalore 7.1567.58.72893428920193 Lower Cuddalore 1214628.41472115046175 Cretaceous 6.8550.515.22412118633764 Chloride (mg/l) <250250-1000>10002501000 Alluvium 35.5797.6567.2374.335.5779.988.6833.1 Upper Cuddalore 53.2744.535.5868.535.570970.9531.8 Lower Cuddalore 2639053.2372.235.5354.570.9354.5 Cretaceous 53.290435.5850.835.5478.635.51524.4 Sulphate (mg/l) <200200-400>400200400 Alluvium BDL28.40.1200.5201180 Upper Cuddalore BDL11.61.2260.5151160 Lower Cuddalore BDL4.40.1160.5152112.5 Cretaceous 0.4440.8720.5205250 Alkalinity (mg/l) <200200-400>400200400 Alluvium 73.2475.86148897.6103761732 Upper Cuddalore 73.2402.697.6439.212273261390.4 Lower Cuddalore 85.4268.473.2488146.4768.6146.4390.4 Cretaceous 73.236648.8414.885.4988.2109.8878.4 DOC (mg/l) (ODWSOG2006, Spruill et al. 1997) <3 3 - 5>5 Alluvium 16.98BDL5.320.548.500.6110.020.53 Upper Cuddalore 13.293.873.130.244.800.535.410.37 Lower Cuddalore 13.592.772.170.526.240.726.340.61 Cretaceous 4.102.063.580.005.480.456.540.29 Index (Decision Criteria)321
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Flow chart representing the preparation of the vulnerability maps Vulnerability studies
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Groundwater vulnerability index map of the Alluvium aquifer overlay on Landuse (Thilagavathi 2013) Vulnerability studies
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Process – Modeling
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Process – Statistics
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Post monsoon CAMGNAKCLHCO3SO4PO4SIO2PHTDS CA1 MG-0.21591 NA0.377867-0.15441 K0.47658-0.176820.7942281 CL0.380735-0.109210.9960150.772361 HCO30.194334-0.168240.4510140.6182950.3874571 SO40.4561940.3008670.5722220.526190.598744-0.025031 PO40.180925-0.37920.116976-0.040120.0860520.397052-0.355381 SIO20.300471-0.052920.4774860.6889220.4702130.5557710.170031-0.16131 PH0.144781-0.072930.0825530.4340950.0446560.3668310.219291-0.068550.1884251 TDS0.409782-0.143380.9967840.8065420.9963790.4161150.608360.0957350.4697990.1080511 1.002.003.00 MG-0.09-0.08-0.72 NA0.960.150.10 K0.740.610.01 CL0.970.100.05 HCO30.290.710.43 SO40.700.05-0.57 PO40.06-0.080.87 SIO20.420.64-0.02 PH-0.040.79-0.12 TDS0.970.150.07 Saline intrusion Recharge and weathering of K feldspar Anthropogenic Seasonal -Correlation and Factor analysis
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CAMGNAKCLHCO3SO4PO4SIO4PHTDS CA1.00 MG0.671.00 NA0.140.111.00 K-0.19-0.060.401.00 CL0.250.230.980.421.00 HCO30.27 0.02-0.01-0.051.00 SO40.200.14-0.23-0.12-0.19-0.091.00 PO40.110.210.02-0.030.040.030.331.00 SIO40.130.210.19-0.070.23-0.010.160.461.00 PH-0.010.11-0.14-0.32-0.11-0.280.140.02-0.011.00 TDS0.800.870.27-0.070.390.180.150.250.280.111.00 1234 CA0.890.010.060.08 MG0.890.040.150.03 NA0.160.940.00-0.01 K-0.240.62-0.020.30 CL0.270.940.03-0.07 HCO30.35-0.13-0.090.74 SO40.12-0.330.57-0.14 PO40.090.000.850.06 SIO40.120.210.74-0.02 PH0.16-0.21-0.03-0.82 TDS0.920.180.20-0.05 Ion exchange S.W.intrusion Fertilisers recharge Pre monsoon Correlation and Factor analysis
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Seasonal and the Spinal species
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Factor score
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Process – Isotopes
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Dissolved organic carbon
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Isotope and climate
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Process – SGD
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Process – Geophysical
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Surface Geophysical methods
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Spatial representation of reisitivty values
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Fig. Three-dimensional variation of litholog and resistivity ( m) for four locations Thavalakuppam, Chinna Verampattinam,Thavalakuppam and Nallavadu in the study area Creation of 3D fence to correlate
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Conceptual models
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Future perspectives Climate Change Geochemical baseline Integrated techniques
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Climate change Longterm geochemical data in correlation with landuse and water level changes Pore water stuides CFC, Tritium models and Helium
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Geochemical baseline Tritium models Microbial characterization with metal/inorganic ion Noble gases Organic Geochemistry Colloidal interface with metals and ions Interlinking of components in hydrological studies
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Integration of relevant techniques
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Thank you
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