Case Studies in Geospatial Applications to Groundwater Resources

IFC
Half title
Title
Copyright
Contents
Contributors
Chapter 1 Principle of GIScience and geostatistics in groundwater modeling
1.1 Introduction
1.2 GIS and groundwater
1.3 Remote sensing and groundwater
1.4 Geostatistics and groundwater
1.5 Geocomputational modeling and groundwater
1.6 Geospatial intelligence and groundwater modeling
1.7 WebGIS and groundwater resource
1.8 Conclusion and future direction
References
Chapter 2 Indicator kriging and its usefulness in assessing spatial suitability of groundwater for drinking
2.1 Introduction
2.2 Basic theory of indicator kriging
2.3 Criticisms of indicator kriging
2.4 Merits of indicator kriging
2.5 Practical corrections to use indicator kriging
2.5.1 Treatment of upper and lower tails
2.5.2 The data dilemma
2.5.3 Initially use the median indicator kriging
2.5.4 Change of support
2.6 Applications in water science
2.6.1 Case study
2.7 Conclusions
References
Chapter 3 GI Science application for groundwater resources management and decision support
3.1 Introduction
3.2 Hydrosphere–geosphere–anthroposphere interlinked
dynamics
3.3 Spatial and machine learning model for groundwater mapping
3.4 Big data analytics and groundwater mapping
3.5 Geospatial intelligence and information communication technology
3.6 Expert knowledge and GIScience
3.7 Data imbalances and new professionalism
3.8 Conclusion
References
Chapter 4 Role of groundwater potentiality and soil nutrient status on agricultural productivity: A case study in Paschim Medinipur District, West Bengal
4.1 Introduction
4.2 Study area
4.3 Data source and methodology
4.3.1 Water distribution pattern
4.3.2 Estimation of soil nutrient index
4.3.3 Crop combination and agricultural productivity
4.4 Result and discussions
4.4.1 Groundwater potentiality zoning
4.4.2 Groundwater potentiality index
4.4.3 Surface water distribution and availability
4.4.4 Characterizing soil of the study area
4.5 Conclusion
Conflict of interest
References
Chapter 5 Groundwater potential zones identification using integrated remote sensing and GIS-AHP approach in semiarid region of Maharashtra, India
5.1 Introduction
5.2 Study area
5.3 Methodology
5.4 Results & discussion
5.4.1 Geology
5.4.2 Geomorphology
5.4.3 Drainage density
5.4.4 Slope map
5.4.5 Rainfall
5.4.6 Lineaments
5.4.7 Land use/land cover
(LULC)
5.4.8 Soil
5.4.9 Groundwater fluctuation
5.4.10 Suitability of groundwater quality
5.4.11 Assessment groundwater potential zone
5.5 Conclusion
References
Chapter 6 GIS-based groundwater recharge potentiality analysis using frequency ratio and weights of evidence models
6.1 Introduction
6.2 Study area
6.3 Database and methodology
6.3.1 Data used
6.3.2 Data processing and generation of thematic Maps using GIS
6.3.3 Statistical models
6.3.4 Delineation of the GRPZ through groundwater potentiality index
(GPI)
6.3.5 Validation method
6.4 Results and discussion
6.4.1 Groundwater recharge potentiality zone
(GRPZ) analysis
6.4.2 Validation of GRPZ
6.5 Conclusion
Conflict of interest
References
Chapter 7 Delineation of groundwater potential zones in the hard rock terrain of an extended part of Chhotanagpur plateau applying frequency ratio \(FR\) model
7.1 Introduction
7.2 Methods and materials
7.2.1 Study area
7.2.2 Dataset and data acquisition
7.2.3 Preparation of input database/factors influencing groundwater potential zone
7.3 Frequency ratio model
7.4 Result and discussion
7.4.1 Land use/land cover
7.4.2 Lineament density
7.4.3 Rainfall
7.4.4 Soil texture
7.4.5 Slope
7.4.6 Groundwater fluctuation
7.4.7 Geology
7.4.8 Drainage density
7.4.9 Hydro-geomorphology
7.5 Groundwater potential zone
7.6 Validation of FR model
7.7 Conclusion
References
Chapter 8 Assessment of groundwater salinity risk in coastal belt of Odisha using ordinary kriging and its management
8.1 Introduction
8.2 Material and method
8.2.1 Study area
8.2.2 Data and methodology used
8.2.3 Ordinary kriging
8.2.4 Performance evaluation of ordinary kriging
8.3 Results and discussion
8.3.1 Descriptive statistics, distribution of dataset, and semivariogram parameters
8.3.2 Performance accuracy of ordinary kriging
8.3.3 Spatial variability of groundwater depth
8.3.4 Spatial variability of electrical conductivity and suitability of groundwater for irrigation
8.3.5 Groundwater salinity management
8.4 Conclusion
References
Chapter 9 Integrated GIS-based MCDA approach for suitability zoning of irrigation water quality in semiarid Kansai river basin, Purulia district, West Bengal
9.1 Introduction
9.2 Study area
9.3 Methodology
9.4 AHP technique
9.5 Results and discussion
9.5.1 Hydrochemical facies
9.6 Study of major cations and anions in the area
9.7 Groundwater quality for irrigation based on the physicochemical parameters
9.8 pH
9.9 Total dissolved solids
(TDS)
9.10 Total hardness
(TH)
9.11 Salinity hazard
9.12 Sodium absorption ratio
(SAR)
9.13 Sodium percentage
(Na %)
9.14 Magnesium adsorption ratio
(MAR)
9.15 Residual sodium carbonate
(RSC)
9.16 Kelly's ratio
(KR)
9.17 Permeability index
(PI)
9.18 Groundwater irrigation suitability zone
9.19 Conclusion
Acknowledgment
Competing interests
References
Chapter 10 Field-based spatio-temporal monitoring of hydrograph network stations to predict the long-term behavioral pattern of groundwater regime and its implications in India: A review
10.1 Introduction
10.1.1 Study area
10.1.2 Objectives of the study
10.2 Methodology
10.2.1 Design of network hydrograph monitoring stations
10.3 Discussion
10.4 Conclusions
Acknowledgments
References
Chapter 11 Groundwater resources in Nigeria: Case study of distribution and quality at a medium-size urban settlement-scale
11.1 Introduction
11.2 Research problem
11.2.1 Study objectives
11.3 Study area
11.3.1 Groundwater supply in Nigeria: review
11.3.2 Regulations on groundwater distribution in Nigeria
11.4 Materials and methods
11.4.1 Data
11.5 Results
11.5.1 Distribution of groundwater resources
11.5.2 Physical and chemical characteristics
11.5.3 Relationship between topography and physiochemical characteristics of groundwater
11.5.4 Seasonal variations
11.5.5 Locational distribution of water chemistry parameters
11.6 Discussion
References
Chapter 12 Assessing groundwater potential zone of Ong river basin using geospatial technology
12.1 Introduction
12.2 Study area
12.3 Materials and methods
12.3.1 Data used
12.3.2 Methodology
12.4 Result and discussion
12.4.1 Surface waterbody
12.4.2 Geomorphology
12.4.3 Lineament density
12.4.4 Geology
12.4.5 Drainage density
12.4.6 Rainfall
12.4.7 Elevation and slope
12.4.8 Soil
12.4.9 Lithology
12.4.10 Land use land cover
12.5 Conclusion
References
Chapter 13 Innovative trend analysis of groundwater resources under changing climate in Malda district, India
13.1 Introduction
13.2 Study area
13.3 Database and methodology
13.3.1 Autocorrelation function
(ACF)
13.3.2 Innovative trend analysis
13.3.3 Mann-Kendall test
13.3.4 Modified Mann-Kendall test
13.3.5 Sen's slope estimator
13.4 Results and discussion
13.4.1 Descriptive statistics
13.4.2 The trend in groundwater depth
13.5 Conclusion
Acknowledgments
Conflict of interest
References
Chapter 14 Assessing vulnerability of groundwater resource in urban and sub-urban areas of Siliguri, North Bengal
(India): A special reference to LULC alteration
14.1 Introduction
14.2 Brief description of the study area
14.3 Study materials and methodology
14.3.1 Data used
14.3.2 DRASTIC data layers
14.3.3 Methodology of the DRASTIC vulnerability model
14.3.4 LULC classification
14.4 Results and discussion
14.4.1 Vulnerability of groundwater status
(DRASTIC model based)
14.4.2 Spatio-temporal changing scenario of LULC
14.4.3 Relationship between LULC change and groundwater vulnerability
14.5 Ground truth validation of the groundwater vulnerability map
14.6 Conclusion
Acknowledgement
Conflict of the interest
References
Chapter 15 Groundwater fluctuation and agricultural insecurity: A geospatial analysis of West Bengal in India
15.1 Introduction
15.2 Study Area
15.3 Data and methods
15.4 Results and discussion
15.4.1 Spatial variation of mean depth of ground water table
15.4.2 Spatial variation of average crop production
15.4.3 Seasonal fluctuation of mean ground water depth and crop production
15.5 Conclusion
References
Chapter 16 Assessment of groundwater quality for irrigation purposes: A case study of Hooghly District, West Bengal, India
16.1 Introduction
16.2 Study area
16.3 Datasets and methodology
16.3.1 Datasets
16.3.2 Methodology
16.4 Results and discussion
16.4.1 Physical-chemical parameters
16.4.2 Groundwater suitability for irrigation
16.5 Conclusion
References
Chapter 17 Geo-spatial assessment of groundwater drought risk zone due to drought propagation in the Upper Dwarakeshwar River Basin \(UDRB\), West Bengal
17.1 Introduction
17.2 Study area
17.3 Methodology
17.4 Physical Groundwater Drought Hazard
(PGDH)
17.5 Meteorological drought risk
(Mr)
17.6 Parameters used in meteorological drought risk assessment
17.6.1 Drought intensity
(DI)
17.6.2 Drought duration
(DD)
17.6.3 Drought frequency
(DF) or occurrence rate (%)
17.6.4 Peak intensity (PI),
17.7 Hydro-geological exposure
(He)
17.8 Socio-economic Groundwater Drought Vulnerability
(SGDV)
17.9 Result
17.10 Integrated GWDR map
17.11 Discussion
17.12 Validation
17.13 Conclusion
Acknowledgement
Conflict of interest
Reference
Chapter 18 Assessment of groundwater level fluctuations in and around Ranchi district, Jharkhand using geospatial datasets and methods
18.1 Introduction
18.2 The study area
18.3 Objectives
18.4 Datasets and methods
18.5 Results and findings
18.5.1 Groundwater level position in Ranchi district with respect to topography
18.5.2 Groundwater level fluctuation in Ranchi district: spatial pattern
18.5.3 Groundwater level changes across the years: fluctuation and volume estimates
18.5.4 Wireframe surfaces for annual monsoonal recharge and annual withdrawal: overall and year-wise
18.6 Conclusion
References
Chapter 19 Groundwater conservation and management: Recent trends and future prospects
19.1 Introduction
19.2 Water, land, energy, and agriculture
19.3 Groundwater prospects and geographical settings
19.4 Advancement in groundwater data
19.5 Opportunities of sensor
19.6 Advancement of space technology
19.7 Water treatment technology
19.8 Integrating monitoring network
19.9 Strengthening scientific support
19.10 Encouraged public engagement
19.11 Future planned and conservation strategy
19.12 Conclusion
References
Chapter 20 Seasonal fluctuation of groundwater table and its impact on rural livelihood: A village level study at coastal belt of Purba Medinipur District, India
20.1 Introduction
20.2 Data base and methodology
20.2.1 Study area
20.2.2 Data base and data processing
20.3 Results and discussion
20.3.1 Land use types
20.3.2 Demographic structures
20.3.3 Seasonal groundwater status
20.3.4 Groundwater vulnerability
20.4 Conclusion
Acknowledgement
References
Index
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