This book demonstrates the effectiveness of DRASTIC model in a geographical area for validation of vulnerable zones against the chemically analyzed water samples including optimization of parameters with consideration to anthropogenic factors resulting in development of precise maps highlighting several zones with varied gravity of contamination. Aimed primarily at researchers and graduate students in civil and hydrologic engineering, groundwater resources management, hydrogeology, contamination, this book,
Covers effectiveness of DRASTIC model for groundwater vulnerability assessment
Reviews of the strengths and limitations of assessment methods
Presents multi-criteria evaluation of hydro-geological and anthropogenic factors
Discusses integration with Geographic Information System (GIS) and Remote Sensing (RS)
Includes application of groundwater governance framework with a case study
Preface |
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xi | |
Authors |
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xiii | |
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1 | (28) |
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Index-Based Vulnerability Mapping Models |
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3 | (12) |
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3 | (1) |
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3 | (8) |
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11 | (3) |
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14 | (1) |
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14 | (1) |
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15 | (1) |
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15 | (1) |
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Comparative Study and Discussion |
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15 | (5) |
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Conclusion and Further Recommendations |
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20 | (1) |
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21 | (8) |
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2 Assessment of Effectiveness of DRASTIC Model |
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29 | (20) |
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30 | (11) |
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GIS for Hydrological Investigations |
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31 | (1) |
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31 | (2) |
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33 | (1) |
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Estimation of Hydrogeological Parameters |
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33 | (1) |
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33 | (2) |
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35 | (2) |
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37 | (1) |
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37 | (1) |
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37 | (1) |
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Lithological Structures and Vadose Zone Assessment |
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38 | (3) |
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41 | (1) |
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Implementation of DRASTIC Model and Analysis |
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41 | (4) |
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41 | (2) |
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43 | (2) |
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Conclusion and Further Recommendations |
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45 | (1) |
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45 | (4) |
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3 Multi-criteria Evaluation of Hydrogeological and Anthropogenic Parameters |
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49 | (34) |
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50 | (22) |
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51 | (1) |
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52 | (1) |
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Groundwater Vulnerability Assessment |
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52 | (1) |
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53 | (1) |
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Modified DRASTIC Model (DRASTICL) with Anthropogenic Factors |
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53 | (1) |
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Estimation of Hydrogeological Parameters for Modified DRASTIC |
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53 | (7) |
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Multi-criteria Evaluation Technique |
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60 | (2) |
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Comparison Matrix and Consistency Ratio |
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62 | (10) |
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Implementation of Modified DRASTIC Model and AHP-DRASTICL Model |
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72 | (6) |
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Estimation of Vulnerability Index for Modified and AHP-DRASTICL Model |
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72 | (1) |
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Comparative Analysis of Vulnerability |
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73 | (1) |
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74 | (3) |
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Accuracy and Uncertainty Assessment |
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77 | (1) |
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78 | (1) |
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79 | (4) |
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83 | (18) |
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Exploratory Survey of the Study Area |
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84 | (2) |
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85 | (1) |
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85 | (1) |
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Hand Pump versus Submersible Pumps |
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85 | (1) |
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86 | (1) |
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86 | (1) |
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86 | (1) |
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86 | (1) |
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87 | (1) |
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87 | (1) |
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Groundwater Quality and Contamination |
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87 | (2) |
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88 | (1) |
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88 | (1) |
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Groundwater Governance and Management |
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89 | (2) |
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Groundwater Contamination |
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89 | (1) |
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Assessment of Contamination/Vulnerability to Contamination |
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90 | (1) |
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90 | (1) |
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90 | (1) |
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91 | (1) |
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91 | (1) |
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91 | (1) |
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Groundwater Level Decline |
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91 | (2) |
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92 | (1) |
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92 | (1) |
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Groundwater Governance Framework |
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93 | (1) |
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Conclusion and Future Prospects |
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94 | (1) |
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95 | (6) |
Index |
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101 | |
Prashant Kumar is a Scientist in Central Scientific Instruments Organisation, Chandigarh which is a national laboratory under Council of Scientific and Industrial Research, Govt. of India. He is also an Honorary Assistant Professor in Academy of Scientific & Innovative Research. He holds BTech. in Computer Science & Engineering from Manipal Institute of Technology, Manipal, Udupi, Karnataka, MTech. in Advanced Instrumentation Engineering from AcSIR and PhD In Water Resource Management from AcSIR. He has been a PGRPE (Post Graduate Research Programme in Engineering) fellow of CSIR, India. His research interests are groundwater modelling, image processing, remote sensing and environmental sciences.
Praveen K. Thakur is a Scientist (S/F) in ISRO- Indian Institute of Remote Sensing, Deharadun under Department of Space, Govt. of India. He is a BTech in Civil Engineering from NIT Hamirpur, MTech in Water Resources from IIT Delhi and holds a PhD from Indian Institute of Technology, Roorkee. His research interest are snow and flood hydrology, hydrological Modelling, Planetary Remote Sensing. He has been a member of Mars Exploration Program Analysis Group (MEPAG). He has been ISRO Young Scientist Awardee in 2017.
Sanjit K. Debnath is a Scientist in Central Scientific Instruments Organisation, Chandigarh under Council of Scientific and Industrial Research. He is a PhD from Indian Institute of Technology, Madras. He is also an Honorary Assistant Professor in Academy of Scientific and Innovative Research, New Delhi, India. His research interest are optical instrumentation, digital holography and remote sensing.