Poor Groundwater Potential Zones Research Articles

Evaluation of groundwater quality potential zones using AHP and WIOA models in Shopian District, Jammu and Kashmir, India: A GIS

Groundwater is an important natural resource stored in aquifers beneath the earth's surface. The hilly district of Shopian in Jammu and Kashmir serves as a study area due to its present and future groundwater needs. This study aims to assess the groundwater potential zones (GWPZ) in Shopian District using the analytical hierarchy process (AHP) and weighted index overlay analysis (WIOA). The AHP approach attempted to assign weights to specific groundwater recharge characteristics. The various thematic maps, including rainfall, land cover and usage, slope, drainage density, geomorphology, soil, and geology, were integrated using overlay analysis to create a comprehensive GWPZ map. Geographic information system (GIS) and remote sensing (RS) tools were utilized to indicate the potential groundwater existence in the studied area. Four zones were created from the GWPZ: very poor, poor, good, and very good. The analysis showed that the very poor GWPZ is around 35.12 sq km, the poor zone is roughly 166.89 sq km, the excellent zone is approximately 340 sq km, and the very good zone is approximately 66.13 sq km. The present study reveals significant perspectives for organizing and effectively restocking groundwater locations within the district. It intends to safeguard the sustainability of groundwater resources for future generations by promoting their successful development and management.

Evaluating groundwater potential in water-deficit laterite zones of Eastern India using RS and GIS techniques, combining an analytical hierarchical process for sustainable water resources management

Sustainable groundwater management in water-deficit, laterite-dominated regions need urgent planning, which involve accurate identification of groundwater potential zones (GWPZs). While unsustainable water extraction has exacerbated groundwater availability in laterite zones, laterite is globally known for its limited groundwater potential but has received relatively little research attention. Therefore, the present study aims to examine the role of laterite formation on groundwater potentiality and its relationship with the stage of groundwater development in Paschim Medinipur district of West Bengal in eastern India. This study integrated cost-effective and efficient time-saving tools like remote sensing, and GIS and to produce thematic map layers for overlay analysis and analytical hierarchy process (AHP) to delineate the GWPZs precisely using n = 10 parameters, while a consistency check was performed prior to the integration of these parameters to ensure low subjectivity in the GWPZ. The three identified GWPZ classes cover 30% of ‘good’, 44% of ‘moderate’ and 26% of ‘poor’ zones. The yield data and water level fluctuation analysis revealed that 70% and 60% match the delineated GWPZs. The cross-validation with the receiver operating characteristic curve also demonstrated good (75.1%) prediction accuracy. We found that hydrogeological factors like laterite formations witness around 80% of moderate to poor GWPZ, while poor GWPZ covers half of the laterite belt. However, flood plains and valley fill deposits in the lateritic parts demonstrate moderate to good GWPZ, suggesting laterite formation at variable depths that control groundwater recharge potential. The laterite regions with lower groundwater recharge potential have experienced a 17% increase in water extraction compared to non-laterite areas. Whereas four blocks within the district are partly overlapped with laterite formations and poor GWPZ, which encounter high stages of groundwater development (70–90%), leading to semi-critical to critical conditions. It is attributed to anthropogenic perturbations and hydrogeological conditions, which need urgent planning to ensure sustainable groundwater usage.

Groundwater potential zones delineation using GIS and AHP techniques in upper parts of Chemoga watershed, Ethiopia

Water is one of the most imperative needs and used for innumerable purpose. The needs of groundwater exploration have being increased due to the radical climatic changes, for continually increased population growth and a change of human lifestyle. GIS and AHP of multicriteria decision making are the most effective, applicable and logical approaches to delineate the groundwater potential zones in upper parts of Chemoga watershed. GIS and AHP are a 7 computer-based systems used to handle, store, manipulate, analyze and present geospatial data to resolve several complicated problems in the environment. Hence, the groundwater potential zone is delineated by overlaying the weights of ten influencing factors (lineament density, rainfall, geomorphology, Lithology, slope, drainage density, roughness, land use/land cover, depth to groundwater level and elevation) in ArcGIS platform under spatial analysis tool. All those influencing factors are selected on the bases of their contribution for the ground water recharge. Based on the findings of weighted overlay analysis, 11.1, 18.2, 47.1, 15.4 and 8.2% of the region depicted very good, good, moderately good, poor, very poor groundwater potential zones, respectively. The investigated groundwater potential sites have validated by seven existed borehole data and hence the study verified their close relationships. Out of seven boreholes, about 7–4 and 3–1 were found under very good to good and poor to very poor groundwater potential zones, respectively.

Mapping coastal groundwater potential zones using remote sensing based AHP model in Al Qunfudhah region along Red Sea, Saudi Arabia

Due to the increases in agriculture and industry sector as well as high population, lack of water is becoming a major problem in the Middle East especially in arid regions. Saudi Arabia needs more groundwater research and explorations because of its higher water use and no source of freshwater. Assessing groundwater zonation in semi-arid locations is essential due to the significant degree of variation in groundwater depth, aquifer features, topographical characteristics, and insufficient precipitation. Mapping prospective groundwater zones in Al Qunfudhah region of southwestern Saudi Arabia has utilized the capability of the multi-criteria decision approaches (MCDA), and the Geographic information system (GIS). We have used the analytical hierarchy process (AHP) as one of the MCDA that is applied to achieve the objective of the current study by integrating twelve controlling factors. These factors are represented by the thematic layers; slope, precipitation, soil type, land use/cover (LULC), drainage density (DD), normalized difference vegetation index (NDVI), curvature, topographic position index (TPI), Terrain Ruggedness Index (TRI), drainage density (DD), and Lineament Density (LD). These thematic layers are combined with GIS to delineate the zones of groundwater potentialities. All factors were classified and weighted according to their importance and its effect on groundwater zones. Their normalized weights were evaluated using a pairwise comparison matrix. The present study shows that the groundwater potential zones (GWPZs) map is represented by five groups ranging between a very high zone with an area of 23781.06 Km2 that represents 4.04 % of the studied area, and a very poor GWPZ with an area of 182944.4 Km2 that represents 31.09 % of the studied area. The AHP model suggests that lineament density, slope, and drainage density are more important for determining the groundwater potentiality than other physiographic factors. The study's findings will be helpful in developing practical strategies for the region's groundwater supply. This analysis shows how the methodology may be used to study a broad coastal groundwater basin. The current study will give the decision makers to select suitable sites with a high groundwater potential.

Geoelectrical and Remote Sensing in the Characterization of the Pan-African Meta-sedimentary Basement Aquifer Systems: A Case Study at Nkoteng-Elap, Central Region of Cameroon

Abstract Nkoteng-Elap, a hamlet in the Central Region of Cameroon (Central Africa), has water issues, particularly with access to drinking water. The current study aims at (1) mapping the fracture networks of aquifers in the conceptual hydrogeological model and (2) delimiting the groundwater potential zones of the study area. A study combining remote sensing and geoelectrical measurements was carried out along profiles sub-perpendicular to the elongation of the geological bodies. Borehole and field geology data were used to validate the results obtained. The findings point to more than 300 linear structures about 0.065-74.89 km long, with two main directions: N80-100°E and N30-50-70°E. According to the Electrical Resistivity Tomography approach, there are three (03) geoelectric levels: conductive (less than 500 Ωm), semi-resistive (6500-12500 Ωm). resistive (more than 12500 Ωm), and resistant intrusive body (2050 Ωm). Existing drillings display three main lithological formations: the alteration zone, the fissured/altered zone, and micaceous quartzite. The correlation between the ERT data and drilling data reveals that the fissured or altered zone observed at 50 m is potentially aquifers. This structure is characterized by medium resistivity values (6500 Ω.m), flow rates of 1 to 3 m3/h for positive boreholes, and by low resistivity values (500 Ω.m), flow rates less than 1 m3/h for negative boreholes. The final map is categorized into five classes: very good, good, moderate, poor, and very poor groundwater potential zones. These results can help find basement aquifers and be useful in the planning and management of groundwater resources in a meta-sedimentary context.

Delineation of Saline/Fresh Water Interface and Mapping Ground-water Potential Zones using Spatial Resistivity Models in Bichpuri Block Agra, District UP, India

Abstract Pin-pointing freshwater within saline formations is of utmost importance as filtration and alternate means of public water supply are responsible for high expenditure. Vertical Electrical Sounding (VES) (n=49) was conducted at various locations in the Bichpuri block, Agra district. In this study for VES, the Schlumberger configuration was used. VES data were reconciled with the borehole well log, and drill sample cuttings were utilized to understand sub-surface configuration. Reconciled VES data displayed variation in resistivity layer parameters, i.e., layer thickness & true resistivity of sub-surface. True resistivity spatial models were developed at 25m intervals from the ground surface down to the depth of 150m, based on geo-electric parameters. Resistivity models reveal that freshwater is limited to 55m depth, beyond which groundwater is saline to brackish. The basement was encountered at a depth of 120m and further extended up to 150m. A groundwater potential map was prepared using GIS and divided into 3 categories – good, moderate, and poor. Major habitations of the study area lie in poor groundwater potential zone, which is a cause of concern with the intent on future development. Similar studies can be extended to areas with saline groundwater for mapping freshwater zones.

Delineation of groundwater potential zones using electrical resistivity technique in Obudu basement terrain of Cross River State, Southeastern Nigeria

Abstract Groundwater exploration in basement terrain can be somewhat challenging. Aquifer parameters like hydraulic conductivity and transmissivity can help in predicting groundwater potential zones in basement terrains. The vertical electrical sounding investigation that involved the Schlumberger configuration was employed to map the subsurface layers within the crystalline basement of the Obudu Complex, southeastern Nigeria. Secondary electrical resistivity data (Dar Zarrouk parameters) and a few pumping test-derived hydraulic parameters (i.e., transmissivity and hydraulic conductivity) were employed to develop empirical models. These models were used to predict hydraulic parameters at locations where only geoelectrical parameters (i.e., aquifer layer thickness and electrical resistivity) exist. Results showed that the northeastern part of the study area and areas located within zones of major faults displayed relatively higher values of hydraulic conductivity and transmissivity. The study area was classified into good, moderate, and poor groundwater potential aquifer zones. This integrated approach can be adopted in other areas with similar geology, where pumping test information is scarce or limited, as an alternative means of predicting aquifer properties and delineating groundwater potential zones for sustainable development and management of groundwater resources.

Application of AHP and Geospatial Techniques to Delineate Groundwater Potential Zones of Dubrajpur Block, Birbhum District, West Bengal, India

Abstract: Exploration of ground water potential zones is very much essential in a country like India because it is ground water that satisfies the need of drinking water in most of the rural areas of the country. Ground water is also used for different other domestic, agriculture as well as industrial purposes. In present days, Remote Sensing and GIS techniques are successfully being used to delineate ground water potential zones of an area by geographers and planners which gives more or less absolutely correct results and it is also very much cost and time effective. The present study attempts to delineate various groundwater potential zones of Dubrajpur Block of Birbhum District, West Bengal, India. In the present work, groundwater potential zonation mapping has been carried out by overlaying nine thematic layers such as geology, rainfall, drainage density, pond frequency, slope, lineament density, soil texture, geomorphology and landuse/landcover and by giving appropriate weightages to each significant parameter with respect to its influence on groundwater. On the basis of the analytical hierarchy process (AHP) model and GIS technology, five groundwater potential zones have been extracted in the study area comprising very good, good, moderate, poor and very poor groundwater potential zones.

Delineation of groundwater potential zones using remotely sensed data and GIS-based analytical hierarchy process: Insights from the Geba river basin in Tigray, Northern Ethiopia

Study regionThe study was undertaken in the Geba Drainage Basin, major tributary of the Tekeze Drainage Basin in Northern Ethiopia. Study focusThe objective of this study is to identify the groundwater potential zones of Northern Ethiopia's Geba Drainage Basin. Nine groundwater indicators were used as inputs, including lithology, geomorphology, lineament density, drainage density, slope, elevation, land use and land cover, rainfall, and soil. According to their relative influence on groundwater potentiality, the thematic layers and their classes were assigned appropriate weights based on Saaty's 1–9 judgment scale. The assigned weights were then normalized using an Eigen vector-based Analytical Hierarchy process. By superimposing all the normalized layers in the GIS environment, a groundwater potential map was developed. New hydrological insights for the regionFive distinct groundwater potential zones—very good, good, moderate, poor, and very poor were found in the study area. The areal distribution showed that majority of the area (45%) fell within the poor groundwater potential zone. The groundwater potential zones of moderate, very poor, good, and very good cover approximately 27%, 12%, 10%, and 6% of the total area, respectively. The results were compared to the groundwater yield of boreholes collected from the study area. The validation analysis revealed a 72% similarity, which is representative. The employed method is therefore a reasonable option for groundwater development in the Geba Drainage Basin.

Groundwater potential zone mapping using geographic information systems and multi-influencing factors: A case study of the Kohat District, Khyber Pakhtunkhwa

Groundwater is a vital component of life; without its identification, it is impossible to live. Therefore, identifying groundwater potential zones (GWPZs) is critical. For this purpose, the study area of the Kohat District was selected to identify GWPZs using the multi-influencing factors (MIF) approach. The Kohat area has a semi-arid to sub-humid subtropical climate and is classified as a sub-tropical, triple-season, semi-arid, sub-mountainous area. The geology, land use, soil, rainfall, lineament density, and drainage density are important parameters of ground water potential identification. The GWPZs were classified into five types: very poor, poor, good, high, and very high. We determined that 37.72% of the study area had high GWPZs, which were predominately in or near the northwest region of the study area, whereas 4.62% of the study area, in the southeast region, had very poor GWPZs. The water table data from the study varied due to different parameters used to identify the GWPZs. Our MIF results revealed that a large area of the Kohat District has good water potential. Still, due to topographic elevation changes, the groundwater potential has been limited in hilly areas. Our final results were compared with water level field data collected from different sources across the Kohat District.

Geospatial Data Analysis Using Fuzzy Analytical Hierarchy Process to Delineate Groundwater Potential Zone in a Semi-arid Hard Rock Terrain

Abstract Delineation of groundwater potential zone (GWPZ) is the fundamental need to achieve sustainable development/management of groundwater resources. The hybrid approach of geospatial data analysis using fuzzy analytical hierarchy process (FAHP) is a very potent application which can effectively delineate GWPZ. The present research is carried out with an aim to evaluate the applicability of this hybrid method towards groundwater sustainability in semi-arid hard rock terrain of South Indian shield region, Mahabubnagar district of Telangana. Geomorphology, lineament density (LD), lithology, landuse, slope, soil texture, drainage density (DD) and rainfall are used as controlling thematic variables. The derived result classified the study area into five distinct GWPZ namely, very poor, poor, moderate, good and very good GWPZ. Around 70% of the study area falls under moderate to very poor GWPZ, whereas only around 30% of the study area is falling under good to very good GWPZ. Research authenticity is carried out by comparing well yield data with GWPZ index (GWPZI). Critical parameter overall quality percentage (OQP) (81.75%) value demonstrated very good prediction accuracy.

Spatial Analysis of Groundwater Potential: A first hand Approach towards Groundwater Development in Moroto District, Uganda

Groundwater is a vital resource that helps mankind and development. However, in Moroto District challenges of groundwater development has increased arising from changes in rainfall patterns coupled with high abstraction from population increase. In this study, the spatial variability of groundwater potential was assessed to develop a tool that will aid decision on groundwater potential sites selection for groundwater development/exploration. The study utilized an integrated technique and tools such as Remote Sensing (RS), Geographic Information System (GIS) and Multi Criteria Decision Analysis (MCDA) in analysis and delineation of potential areas for successful groundwater development. The generated map through weighted overlay of thematic layers (slope, soil, lithology, rainfall, land use and land cover) produced five categories of potential zones indicating 90% (i.e., 35% very high, 40% high and 15% moderate) of the study area to be suitable for groundwater development and only 10% (i.e., 2% poor and 8% very poor) exists as poor groundwater potential zones. Maps produced from this study can hence be used to identify appropriate sites for groundwater development, and therefore minimizing unsuccessful boreholes development.
 Keywords: GIS; Groundwater Development; Groundwater Potential; MCDA; Spatial Analysis.

Multi-criteria approach to assess groundwater potential: a case study of Baringo County, Kenya

Abstract In this study, the groundwater potential zones in Baringo County (Kenya) were identified using an integrated approach of Remote Sensing-Geographic Information System (RS-GIS) and Analytical Hierarchy Process (AHP) techniques, and thematic layers of rainfall, slope, lithology, soil type, land use, drainage density and lineament density. The data were validated using borehole yield and fluoride data obtained from boreholes in the area. Using RS-GIS-based methods to identify potential groundwater zones is more convenient and less expensive compared with the conventional methods. Rainfall, lithology, soils and land use/land cover were found to be the most significant factors influencing groundwater with weighted values of 31, 24, 18 and 10% respectively. The very good, good and poor potential zones covered 0.39, 65.33 and 34.27% area coverage of the study area respectively. Low yield boreholes were found in the poor groundwater potential zones and vice versa. Moderate yield boreholes were found in the good groundwater potential zone. The majority of the boreholes with acceptable fluoride concentration was found in the good groundwater potential zones, while those with high fluoride concentration levels were found in the poor groundwater potential zone. Generally, from this study, it can be concluded that remote sensing and GIS in conjunction with AHP are important tools in monitoring and evaluating groundwater resource potential areas.

Application of remote sensing and GIS to assess groundwater potential in the transboundary watershed of the Chott-El-Gharbi (Algerian–Moroccan border)

Remote sensing (RS) and Geographic Information Systems (GIS) have become widely used in various fields around the world in recent years. In this paper; we attempt to delineate the groundwater potential zone in the transboundary watershed of Chott-El-Gharbi using the integration of RS, GIS methods. Eight influencing thematic layers viz. geology, rainfall, water table level, lineaments density, slope, drainage density, elevation, and land use/land cover were used. Afterward, Analytical Hierarchy Process technique, which offers good functionality for mapping the groundwater potentiality was used, where ranks and weights, assigned to each factor are computed statistically, based on their relative importance in terms of groundwater potential. Then, groundwater potential zones are classified into five categories namely excellent, high, medium, low, and very low zone, which represent 964.48 km2 (7.33%), 1467.30 km2 (11.15%), 7969.51 km2 (60.57%), 2639.52 km2 (20.06%), and 116.19 km2 (0.88%) of the study area, respectively. The very low potential region is found in the southern region of the study area, which is covered by mountains. Moreover, excellent groundwater potential zones are located at the central part of the region of Chott, which has quaternary formations where the infiltration is high. On the other hand, moderate and poor groundwater potential zones cover by the bare lands in the study area. Finally, the results were carefully validated with the yields data of various boreholes in the study area, which reveals an accuracy achievement of 72.41%. The finding of this research constitutes a valuable contribution towards the water resources management, and it forms a significant decision support tool for equitable and sustainable utilization of groundwater resources in the transboundary watershed of Chott-El-Gharbi. The study's findings will also serve as a benchmark for future research and studies, such as hydrogeological modeling.

Geological and Hydrogeophysical Investigation of Angwan Zakara, Keffi Sheet 208N.E of North Central Nigeria

The geological and hydrogeophysical assessment of the groundwater prospect/potential in Angwan Zakara and its environs, Karu Local Government, Nasarawa State, North-Central, Nigeria has been carried out in this study. The study area covers 25km2.The area is underlain by the Basement Complex of the North-Central Nigeria consisting of Medium grained biotite granite, biotite gneiss, phyllite and un-mappable muscovite schist with structural features such as joints, veins, foliation, faults, and xenoliths trending NW-SE direction. Forty Nine (49) Vertical Electrical Sounding were carried out in the study area using Omega Resistivity Terrameter, GPS12 Garmix with a maximum cable spread of AB/2=100m and MN/2=5m. The results obtained from the field data were interpreted using IXID Software for quantitative analysis. True resistivity map, piezometric map, basement resistivity map and depth to basement map were prepared and interpreted using computer software for qualitative analysis (SURFER 8). From the IXID interpreted results, five (5) curve types were obtained from the acquired data namely A, H, KH, AH, and HK curve types are the dominant. The study area showed depth to basement ranges from 20-90m. That revealed good groundwater potential. The study area revealed 4-7 lithologic sequences consisting of top soil, laterite, clay, weathered/ fractured basement however the host rocks in the study area are biotite granite, quartzite and schistose-gneiss. The results obtained shows that the direction of water flows revealed five ridges R1-R5 and four depressions D1-D4 with receptacles trends of the ridges are R1 and R2:NW-SE; R3 N-S, R4 : NE-SW and R5; E-W. The geoelectric sections were produced and correlated with the geology of the study area and it was found to be in conformity with the each other. Based on this, the study area is zoned into three namely good, moderate and poor groundwater potential zones.

Groundwater potential zone mapping of Hoshangabad and Budhni industrial area, Madhya Pradesh, India

Hoshangabad and Budhni industrial area is sub-humid part of the Narmada river basin, Madhya Pradesh, India. In the area, irrigation, domestic and industrial water supply relies on the available groundwater resources. The regular withdrawal of groundwater for irrigation, domestic and industrial use has results in lowering of groundwater table in the area. To overcome this problem potential recharge zones of groundwater were delineated in the area by applying remote sensing and GIS approach supported by field observations. GIS technology has been used to analyze and integrate various groundwater-controlling factors viz; Geology, Geomorphology, Lineaments, Topography, Soil, Drainage density and Land use/Land cover. Weightage to each parameter was assigned based on the hydrological characteristics of the observed parameter. Groundwater Potential Index (GPI) of the area has been calculated, by integration of the various thematic layers by Weighted Overlay Analysis (WOA) method in ArcGIS. The results demonstrated that about (3.58 km2) of the area is designated as excellent groundwater potential zone, whereas, good, moderate, low and poor groundwater potential zone covers (51.18 km2); (117.36 km2); (38.59 km2) and (6.66 km2) area respectively. The study reveals most effective groundwater potential zone lies in southernmost part of the area characterized by alluvium formations with gentle slope. Low and poor groundwater potential zone is present in the northernmost part characterized by steep slope, impervious rocks and high drainage density. Further, the results were validated by overlay the well inventory data of observation wells in the delineated potential recharge zones using GPS locations. The study has proved uneven distribution of these groundwater potential zones is controlled by the observed parameters. The study will be help in development and management of groundwater resources by enhancing the recharge practices, especially in poor and low groundwater potential zone.

Groundwater potential zones identification in Arba Minch town, Rift Valley, Ethiopia, using geospatial and AHP tools

Groundwater is a vital natural resource that supports human needs, promotes industrial development, needs farming activities, and helps to maintain ecological balance. Geospatial technologies play an essential role in monitoring, assessing, and conserving groundwater resources. The present study was carried out at Arba Minch town, Rift Valley, southern Ethiopia. A total of eight important groundwater controlling parameters, such as lithology, geomorphology, lineament density, land-use/land cover, slope, precipitation, drainage density, and soil type, were considered to identify suitable groundwater potential zones. The analytical hierarchy process (AHP) technique was used to derive the standard weights for each parameter and its sub-parameters, emphasizing the relative importance of contributing parameters and sub-parameters for groundwater recharge. The present study’s potential groundwater zonation map was divided into three categories: poor, medium, and high. The output has shown about 36%, 24%, and 40% area falls under high, medium, and poor groundwater potential zones. Furthermore, the findings were validated using groundwater level data, which showed a strong correlation. The current study results showed the effect of geospatial techniques and the AHP method in groundwater potential mapping.

Delineation of groundwater potential zones in lower Rihand River Basin, India using geospatial techniques and AHP

In the present study, an attempt is made to delineate groundwater potential zones in Lower Rihand River Basin using remote sensing, GIS, and Analytical Hierarchical Process (AHP). Multiple data, viz. lithology, lineament density, geomorphology, slope, soil, rainfall, drainage density, relief, landuse/landcover were considered for delineating the groundwater potential zones. All nine thematic layers were prepared using remote sensing data on GIS platform. After that, weights were assigned to different layers and the features within them using a pairwise comparison matrix through the Analytical Hierarchical Process. The weights obtained were tested for their consistency using the consistency index and consistency ratio. A final weighted map was then obtained by multiplying each thematic layer’s weights with the weights of features within them and adding them. Based on this final weighted layer, the basin was categorized into very poor, poor, moderate, good, very good groundwater potential zones. The maximum area (49.22%) is under poor groundwater potential zone followed by moderate zone (26.17%), very poor (12.53%), good (11.77%), very good (0.31%). Results obtained have been validated using pre-monsoon and post-monsoon 10 years average water depth and seasonal fluctuation of various observation wells. Sensitivity analysis using map removal method is performed to assess the most influential parameters, geology, geomorphology, lineament density are the most influential. Overall results prove the efficacy of the use of geospatial technology in combination with AHP in the delineation of underground water potential zones.

Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India

Among all other natural resources, groundwater is one of the most essential for environmental, biological, and socioeconomic activities. Several factors such as geology, distance from the river, geomorphology, slope, land-use, drainage density, lineament density, soil, and rainfall influence groundwater recharge and its availability. In this study, an integrated approach of Geographical Information System (GIS) based Multi-Criteria Decision Making (MCDM), Analytical Hierarchy Process (AHP), and remote sensing were used for geospatial mapping of groundwater. For the determination of influencing factors, an extensive literature review was considered to form a pairwise comparison matrix (PCM) and calculate the weight of each factor. The scores of the sub-parameters were also assigned based on published literature, and after that, the weighted overlay analysis (WOA) tool in ArcGIS10.1 was used to produce the final groundwater potential map. About 14% (684 km2) of the study area is recognized as ‘high groundwater potential zone’, 34% (1591 km2) in ‘moderate groundwater potential zone’, 27% (1291 km2) in ‘low groundwater potential zone’ and the remaining 24% (1141 km2) in ‘poor groundwater potential zone’. In the accuracy assessment, the groundwater potential zones i.e. high, moderate, and poor in suitability map is precisely estimated contrasting to the zone ‘low’ in the producer’s point of view, but high and poor groundwater zones detected more precisely compared to others in user’s point of view. The methodology, techniques, and results of the current investigation may be useful to evaluate the groundwater potential zone in similar drought-prone regions around the world.

Groundwater Potential Zone Delineation in Hard Rock Terrain for Sustainable Groundwater Development and Management in South Madhya Pradesh, India

In view of the vital significance of water resources and issues emerging from their temporal and spatial distribution and utilization posing serious problems to the land resources and to the society United Nations has identified sustainable management of water resources (SDG 6) as one of the seventeen major Sustainable Development Goals (SDGs). In this perspective, the purpose of the study is to identify the groundwater potential zones in the hard rock terrain of Betul-Chhindwara Region, Madhya Pradesh, India, using AHP technique. The study area comprises the sub-watersheds of Tawa river (Narmada basin), Tapi river (Tapi basin), Kanhan and Pench rivers (Godavari basin). Various thematic layers such as geomorphology, geology, physiography, rainfall, soil, slope, lineament, drainage density, groundwater depth, and land use/ land cover were developed. The analytical hierarchy process helps to delineate groundwater prospect zones, which are categorized into five classes, i.e. very poor, poor, moderate, good, and very good based on objective, criteria, and preference. The good, moderate, and poor groundwater potential zones cover 4815 sq. km., 6423 sq. km, and 4857 sq. km, respectively, comprising 22.46%, 29.96%, and 22.65% of the entire region under study. The result indicates that 15.22% of the area comprising 3262.10 sq. km have very good groundwater potential whereas 9.71% (2080 sq. km) has very poor groundwater potential. The obtained result has been verified through field check based on the yield data collected from 16 bore wells in the study area. The accuracy of the results was 75% that proves the efficiency of the adopted techniques. Thus, this study will be efficient for the sustainable development and management of groundwater in the study area.