Analytical Hierarchical Process Technique Research Articles

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons and a decrease in discharge in recent years. GIS and the AHP were employed to delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage density, and land use/land cover (LULC). The model’s accuracy was assessed by comparing the findings to basin groundwater observation well data. We found that 74% of the observations matched the projected zoning. Further validation utilising the receiver operating characteristic (ROC) curve gave an AUC of 0.736. According to the study, 67.31% of the land has a good GWPZ, 5.60% has a very good one, 27.07% is medium, and 0.03% is low. Heavy rains throughout the rainy season raise water levels. Dry weather lowers water levels. This study’s conclusions will protect groundwater from climate change. Integrating hydrogeological data, GIS, remote sensing, and AHP approaches maximises data use, improves groundwater potential zone delineation, and promotes sustainable groundwater resource management decision making. This integrated method can help land use planners, hydrologists, and policymakers find optimal locations for water supply projects, establish groundwater management techniques, and reduce groundwater risks.

Barriers to Solar PV Adoption in Developing Countries: Multiple Regression and Analytical Hierarchy Process Approach

The globe is transitioning from traditional methods of electricity generation to renewable resources in order to achieve sustainable goals. Solar energy is a promising and abundant renewable resource that shows great potential as a viable alternative to traditional energy. Furthermore, the production of electricity from solar energy is the most cost-effective compared to other kinds of renewable energy. Nevertheless, the execution of solar initiatives in underdeveloped nations is encountering several obstacles. Identifying the most significant obstacles in the execution of solar projects is of utmost importance. This study uses a linear regression model (LRM) and an analytical hierarchical process (AHP) to determine the main barriers to the implementation of renewable energy projects in a developing economy, i.e., Pakistan. By conducting an extensive review of the relevant literature and consulting with experts, the most significant categories of obstacles were determined. A survey based on 429 responses was collected from the participants working at solar projects. Subsequently, the responses were subjected to processing and analysis using the relative importance index (RII), AHP, and linear regression modeling techniques. The linear regression analysis revealed several significant variables that hinder progress, including financial conditions, policies, technological awareness, institutional support, social and environmental awareness, market stability, and other miscellaneous factors. The AHP analysis revealed the key factors that have the greatest impact, which include effective policies, financial stability, technological expertise, institutional support, market stability, various aspects, and social and environmental awareness. The study’s conclusions are beneficial for all stakeholders and project managers in enhancing the project management of solar initiatives. It would also facilitate prompt decision-making regarding policy formulation and implementation.

An Integration of Geospatial Modelling and Machine Learning Techniques for Mapping Groundwater Potential Zones in Nelson Mandela Bay, South Africa

Groundwater is an important element of the hydrological cycle and has increased in importance due to insufficient surface water supply. Mismanagement and population growth have been identified as the main drivers of water shortage in the continent. This study aimed to derive a groundwater potential zone (GWPZ) map for Nelson Mandela Bay (NMB) District, South Africa using a geographical information system (GIS)-based analytic hierarchical process (AHP) and machine learning (ML) random forest (RF) algorithm. Various hydrological, topographical, remote sensing-based, and lithological factors were employed as groundwater-controlling factors, which included precipitation, land use and land cover, lineament density, topographic wetness index, drainage density, slope, lithology, and soil properties. These factors were weighted and scaled by the AHP technique and their influence on groundwater potential. A total of 1371 borehole samples were divided into 70:30 proportions for model training (960) and model validation (411). Borehole location training data with groundwater factors were incorporated into the RF algorithm to predict GWPM. The model output was validated by the receiver-operating characteristic (ROC) curve, and the models’ reliability was assessed by the area under the curve (AUC) score. The resulting groundwater-potential maps were derived using a weighted overlay for AHP and RF models. GWPM computed using weighted overlay classified groundwater potential zones (GWPZs) as having low (2.64%), moderate (29.88%), high (59.62%) and very high (7.86%) groundwater potential, whereas GWPZs computed using RF classified GWPZs as having low (0.05%), moderate (31.00%), high (62.80%) and very high (6.16%) groundwater potential. The RF model showed superior performance in predicting GWPZs in Nelson Mandela Bay with an AUC score of 0.81 compared to AHP with an AUC score of 0.79. The results reveal that Nelson Mandela Bay has high groundwater potential, but there is a water supply shortage, partially caused by inadequate planning, management, and capacity in identifying potential groundwater zones.

Mapping Ground Water Potential Recharge Zones of Wadi Al-Batin Alluvial Fan, Using Remote Sensing and GIS Techniques, Southwestern Iraq

Groundwater potential recharge (GWPR) zones are an important process in managing water resources. Six thematic layers were used to produce GWPR mapping for Wadi Al-Batin alluvial fan, Southwestern Iraq with GIS environment and analytical hierarchical process (AHP), including geology, lineaments density, slope gradient, drainage density, soil, and slope aspect. Based on the importance, the thematic layers are ranked, which control the GWPR. Drainage density, lineament density, slope aspect, and slope gradient maps are classified into five classes, whereas, geology and soil are classified into six classes. The classes are weighted based on the magnitude of groundwater recharge potential. The AHP technique divides the entire into three zones based on GWPR values: high, moderate, and low. The final GWPR map demonstrated that the western and northwestern parts of the alluvial fan have greater groundwater recharge potentials with 70% of the total area due to the increase in the infiltration rates as a result of the gravely and sandy soils besides the agricultural land use in the present areas. However, the other part of the fan ranged between moderate and low with 25% and 5% of the total area, indicating suitable zones for groundwater artificial recharge processes.

Analysis of erosion susceptibility through urban scenarios for an expanding area

Urban scenarios can be used by decision makers on matters related to urban expansion, especially when urban areas have socio-environmental problems, such as those resulting from erosion processes. The aim is the analysis of erosion susceptibility with the construction of urban scenarios using the AHP method to assist decision making on urban expansion. Thus, the AHP (Analytical Hierarchical Process) technique was employed to analyze the data collected and a GIS for the spatialization and building of these scenarios. The methodology was developed based on a real case of a Brazilian city located in the state of São Paulo. To validate the methodology, the current scenario of the studied area was constructed and compared with the actual situation of the place. As a conclusion, the study was validated for the applied area and proved to be a tool capable of assisting local governments regarding decision-making processes for urban expansion.
 
 Keywords: Urban Scenarios, AHP, Erosive Processes, Urban expansion, Erosion susceptibility

Analyzing Sustainability Awareness and Professional Ethics of Civil Engineering Bachelor’s Degree Students

Teaching sustainability and ethics to engineering students is a challenging but necessary task that has been increasingly investigated during the last few years. In this research, a systematic method to identify the level of awareness in students about sustainability and ethics is developed. Here, it is applied to students studying the Civil Engineering bachelor’s degree at the School of Civil Engineering of Universitat Politècnica de València (UPV), though this method is potentially applicable to equivalent ABET and EUR-ACE accredited bachelor’s degrees. A survey was performed, and data was analyzed using Analytical hierarchical process technique; this technique determines the relative importance of each criterion, as well as the consistency of the emitted judgements, in an objective manner. These results allowed to discover that students do not have a robust opinion related to sustainability and ethics, except those students with previous experience in the construction sector. Environmental and social dimensions of sustainability and ethics were identified as the main focuses to emphasize in the civil engineering curriculum. Finally, actions to boot these principles are also proposed; potential courses where sustainability and ethics concepts could be explicitly included were selected and the inclusion of an environmental budget in the bachelor thesis was recommended, among others suggestions.

Delineation of potential groundwater recharge zones using remote sensing, GIS, and AHP approaches

Groundwater resource plays a critical role in economic development, human health, and ecological diversity. Groundwater exploration has gained much prominence recently due to the rapid nature of geographic information systems and their ability to provide initial information on resources. Present study focuses on delination potential groundwater zones in Mulshi Taluka, Pune district, India, using remote sensing, GIS, and Analytic Hierarchical Process (AHP). Geomorphology, geology, slope, drainage density, rainfall, landuse/landcover, lineament density, soil, Normalized difference vegetation index (NDVI), curvature, and Topographic wetness index (TWI) were used for delineation of the groundwater recharge zones. All thematic maps were weighted using the AHP method according to their characteristics and water potential. The final groundwater potential zone (GWPZ) map was divided into five categories, viz., very low (4%), low (25%), moderate (45%), high (18%), and very high (8%) zones, respectively. The final map identifies 4% of area under a very high recharge zone with natural infiltration ability. The region's central, southern, and western regions account for 80% of the study area's recharge potential. Finally, groundwater fluctuation data was used to verify the accuracy of the GWPZ map through receiver operating characteristic curves (ROC). The AUC score for the AHP technique reveals 80.4% accuracy. Local and government authorities can use the study findings to effectively plan and manage groundwater development.

Development of Framework in the Selection and Reuse of Concrete Waste and Brick Waste Powder as Pozzolanic Material in Cement Concrete Application Using Analytical Hierarchical Process Technique

Development of Framework in the Selection and Reuse of Concrete Waste and Brick Waste Powder as Pozzolanic Material in Cement Concrete Application Using Analytical Hierarchical Process Technique

Risk Assessment in Installation of Solar Power Plants

Nowadays although photovoltaics (PVs) has been a major energy source, there are few publications that focus on the risks regarding the installation of Commercial Solar Power plant. There is no solution which can identify that later on what sort of risk or what sort of problem may occur after and during the installation of a renewable grid. After which we can provide the solution of Risk mitigation/reduction to identify future risks that may occur after and during the installation of a renewable grid. The above discussion is based on risk software using Monte-Carlo simulation and Analytical Hierarchical Process (AHP) Technique. Monte-Carlo simulation is used for finding the risk and the AHP Technique use in design making process. We made such a solution that will target the three different locations in three different weather The work is performed to manage the risk that may occur in the installation and after the installation of renewable grids. This research is crucial, especially when you consider how many new installations there will be because of the favorable Pakistani Policy. Additionally, there is little information available about accidents connected to the installation of PV Photo Voltaic (PV) plant. Consequently, it is challenging to develop a safety policy roadmap for PV installation. projects. This work has act as guidance towards future projects with similar conditions. At the end we have provide proper risk avoidance mechanism and report.

Priority selection of agro-meteorological parameters for integrated plant diseases management through analytical hierarchy process

To understand the influence of agro-meteorological parameters to take decisions related to various factors in an integrated plant disease management, it becomes vital to carry out scientific studies on the factors affecting it. The different agro-meteorological parameters namely temperature, humidity, moisture, rain, phenological week, cropping season, soil type, location, precipitation, heat index, and cloud coverage have been considered for this study. Each parameter has been allocated the ranking by using a technique called analytical hierarchical process (AHP). The parameter priorities are determined by calculating the Eigenvalues. This helps to make decisions related to integrated plant disease management where the prediction of plant disease occurrence, yield prediction, irrigation requirements, and fertilization recommendations can be taken. To take these decisions which parameters are good indicators can be identified using this method. The parameters majorly contribute to plant diseases and pest management decision making while delivers minor contribution in irrigation and fertilizer management related decision making. The manual results are compared with software generated results which indicates that both the results correlate with each other. Therefore, AHP technique can be successfully implemented for prioritizing agro-meteorological parameters for integrated plant diseases management as the results for both levels are consistent (consistency ratio < 0.1).

Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: a case study in Azuay-Ecuador

To guarantee a dignified life in low-incoming countries where socio-environmental negative implications derived from the municipal solid waste (MSW) by its excessive generation, lack of governance, and financial resources, sustainable and integrated solutions are required. From this perspective, well-located transfer stations (TSs) are conceived as an alternative to improve MSW management quality in municipalities that generate little MSW and have long transportation distances. Consequently, this research aims to find optimum areas to locate TSs in the province of Azuay-Ecuador as a commonwealth proposal. It applies a multi-criteria decision analysis based on geographic information systems with the analytical hierarchical process technique: a heuristic and scalable method that simultaneously evaluates subjective and non-monetized inputs. The authors faced it from a holistic perspective in a three-level hierarchical structure; starting from categories: technical, environmental, economic, and social; then criteria: rivers, protected areas, populated areas, land use, educational centers, health centers, tourist sites, basic services, roads, gravity centers, geology, power grid, and slopes; and finally, sub-criteria defined by criteria´s measurable attributes. This research provides local decision-makers with middle-scale tools and a first diagnosis to focus later efforts in local studios over potential sites. The results showed that 79.12% of the study area was restrictive to place a TS. The remaining territory suitability index values between 13 and 89% were found, with possible TSs at Paute, Sigsig, and Nabón to serve nine from fifteen cantons.

Integrated Analytical Hierarchical Process and Geographical Information System for Allocation of Compatible Land Uses along Uluguru Mountain Slopes

The northern slope of the Uluguru mountain, that falls under the sovereignty of Morogoro’s urban area, has steadily become populated and connected with uncontrolled human activity, which has had a harmful effect on the ecosystem. The rapid conversion of natural forests to farms and settlements has a severe effect on biodiversity and the land’s productive capacity. In order to assist the identification of compatible land uses for managing degradation and restoration of degraded land, as well as ensuring the long-term use of natural resources, this study applied the integration of Geographical Information System and Analytical Hierarchical Process. The land resources of the research area were identified using a Geographical Information System to guide in the evaluation of various land uses’ suitability. Land resource values were generated from different sources of data whereby elevation, slope, temperature, rainfall, soil properties, soil moisture index, and land surface temperature classifications were obtained. The land resource classification values throughout the study area were used to create land mapping units. The results of the criteria classification were integrated into questionnaires together with proposed compatible land uses obtained from the literature review. These well-structured questionnaires were used to retrieve expert opinions on land use allocation from environmental beneficiary institutions in the area. The influence of criteria on each suggested land use was assessed accordingly based on the score provided by Saaty’s scale. The weight of each criterion at each land mapping unit toward proposed compatible land uses for mapping purposes was calculated using the Analytical Hierarchical Process (AHP) technique. The weighted criteria produced by the AHP technique were integrated into GIS using the weighted overlay method to produce a map that reflects expert judgments on mountain slope planning for long-term natural resource management. A literature review reveals that conservation agriculture, agroforestry, and forest land use types are compatible in the management of natural resources in the area, while settlements have to be integrated to accommodate the existing situation. The integration of GIS and AHP produced a plan that consists of conservation agriculture that covers the majority of the study area (50%) and is generally found in the foothills of the mountains up to land mapping unit 3. Agroforestry is the second-largest land use, accounting for 19% of the study area and being concentrated in the second and third land mapping units. Settlements, which occupy 17% of the study area and are mostly located at the foothills of the mountain, are the third most covered land use. Finally, forest land use is distributed at the top of the research area, inside land mapping units 4 and 5, and accounts for 13% of the total study area. According on the findings of this study, a sustainable land use plan is recommended. Economic activity that could assist in the management of natural resources would be advantageous to both parties. Planning of the mountainous slopes within urban areas that are not designated as conservation zones should be done with great care, and only economic activities that assist management of natural resources should be permitted.

Exploration of groundwater potential zones using analytical hierarchical process (AHP) approach in the Godavari river basin of Maharashtra in India

Total natural and groundwater resources play the most crucial role in developing ecological, biological and socioeconomic doings. Various parameters like land use, geology, elevation, slope, lineament, lineament density, drainage density and geomorphology affect the groundwater development of recharge and its accessibility. In this research, geographical information system (GIS), remote sensing, weighted overlay analysis and analytical hierarchy process (AHP) methods have been used for groundwater prospects mapping, and identifying suitable solutions site for soil and water conservation structures. To calculate the weights were assigned to every layers component in the determination of affecting factors. The weighted overlay analysis (WOA) tool is applied to give the sub-parameter ratings based on the scientific literature. The final map of potential groundwater zone map has prepared using Arc GIS 10.1 software and AHP methods. About 49.71% of the areas fall under the 'good potential zone, 41.05% falls under the 'moderate potential zone', and 9.22% falls under the 'poor zone by using AHP technique. Groundwater potential zone map is depend on the weighted overlay analysis and analytical hierarchy process (AHP) methods. The highest GWP is located in the lower part of the basin due to the best surface runoff gathering, infiltration situations and subsurface storage volume. The present study procedure, methods and outcomes can be valuable to estimate the suitable groundwater zones parallel to improve the dry land area in the semi-arid and arid regions of India.

Delineation of potential water harvesting site for agriculture water planning in Betwa basin of India using geospatial and analytical hierarchical process technique

World is facing acute water scarcity owing to growing freshwater demand, rainfall aberrations and miserable management of water resources. Selection of site for water harvesting structure is crucial for water management in basin. SWAT and AHP techniques applied for decision making at HRU level. AHP technique was used for delineation of sites using soil type, slope, runoff ratio and land use land cover criteria. Model R 2 ranged from 0.85 to 0.92, NSE ranged from 0.85 to 0.92, RSR ranged from 0.28 to 0.38 and PBIAS ranged from −14.68 to 0.79 for calibration while R 2 ranged from 0.68 to 0.80, NSE ranged from 0.70 to 0.81, RSR ranged from 0.30 to 0.40 and PBIAS ranged from −12.7 to 0.57 for validation. upper region of basin has the highest potential of water harvesting, which can be managed efficiently by specific water harvesting structure. The tools and techniques can be adopted worldwide, for water resource planning at HRU level.

Identification of Consumer’s Preference towards Store Image: Using Analytical Hierarchical Process Technique

This study aims to identify consumer preferences for store image using the Analytic Hierarchy Process. Analytic Hierarchy Process is a Multiple Attribute Decision-Making technique used to observe, rank, and select a set of options under contradictory characteristics. Consumer preference refers to the individual's behavior when purchasing, consuming, or disposing of any specific product or service. Multiple factors can affect these behaviors. The store's attractive features are the factor affecting store image, dimension, and sub-dimension of store image. Data were collected from 29 experts. Experts are selected based on their experience of shopping in a shopping mall in Pakistan and industry. A bipolar questionnaire was used to collect data. This study explored the main dimensions of store image: convenience, price, quality, atmosphere, and safety. Further, the study's findings indicate that these dimensions of store image are important for marketers, which provides awareness regarding the psychological elements of customers that influence their perception of store image and helps the marketer recognize and forecast the customer's demand.

Application of blockchain technology for sustainability development in agricultural supply chain: justification framework

Blockchain technology, is conceptualised as a type of disruptive technology and is regarded as one of the prime tools of Industry 4.0 today. The varied features of Blockchain like smart contract, decentralisation, transparency, traceability, data immutability and data privacy along with a consensus mechanism make it suitable to be utilized in the complex and multi—echelon supply chains of today. These factors improve the production processes and make the existing supply chains agile, resilient and responsive in the long term. Blockchain also add an aspect of sustainability which correlates with the phenomenon of circular economy in today’s world. Hence firms should compare and evaluate the significance of the traditional supply chain and blockchain-enabled supply chain in bringing the concept of sustainability in the supply chain today. This paper aims to highlight the benefits of blockchain in supply chain management with the help of a literature review along with opinions of experts from the agricultural sector. The key benefits identified are data privacy, decentralisation, immutability of data, smart contract, improved sustainability, building of resilient supply chains, transparency and shared database. These potential benefits of blockchain are assessed using the analytical hierarchical process technique. Global desirability index for traditional supply chain and blockchain—enabled supply chain is calculated. The high value of global desirability index of the blockchain-enabled supply chain over the traditional supply chain suggests that the application of blockchain technology in the supply chain is justified for bringing sustainability in the supply chain. This study aims to offer meaningful implications for practitioners so that they can take suitable measures for adoption of this technology.

Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques

Over-extraction of groundwater has compromised its climatic resilience properties and the arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater scarcity. This study has employed a combination of Geographical Information System (GIS) and Analytical Hierarchical Process (AHP) techniques to delineate the Groundwater Potential Zones (GPZs) of the semi-arid Birbhum district in eastern India which suffers from seasonal drought during lean periods. For a reliable evaluation, a large number of thematic layers (N = 12) including geology, geomorphology, Land Use/Land Cover (LULC), fault and lineament density, drainage density, rainfall, soil type, slope, roughness, topographic wetness index, topographic position index and curvature were considered for this assessment. Multicollinearity and consistency checks were performed prior integrating the layers to avoid a non-trivial degree of accuracy in prediction output. The GPZ map was obtained with an accuracy of 80.49% with respect to the observation tube well data. Based on the obtained output, 38.24%, 24.24% and 11.14% of areas of the district classified as moderate, poor, and very poor GPZs, respectively, whereas only 26.38% of the district classified as high to very high GPZs. Cross-validation using the Receiver Operating Characteristic curve revealed a good prediction accuracy of 71.50%. Furthermore, map removal and single parameter sensitivity analysis was also performed which revealed geology, geomorphology, soil types, rainfall, LULC and lineament density as the most influential parameters for the prediction model where exclusion of any thematic layer significantly changes the prediction accuracy and area of each GPZ class. The most convincing GPZs are recorded in some parts of the Mayurakshi and Ajay river basins and certain alluvial aquifer regions. Nonetheless, the study recommends the adaptation of Managed Aquifer Recharge techniques including rainwater harvesting, alternative cropping patterns and irrigation techniques such as sprinklers, drips and micro irrigations to increase the groundwater potential of the water crisis zones.

GIS based modeling of GWQ assessment at Al-Shekhan area using AHP and SAW techniques

There is a continuous need to assess Groundwater Quality (GWQ) for human beneficial uses especially in areas suffering a shortage of nearby surface water. This study aims to assess GWQ of 56 wells located at Al-Shekhan area for drinking, irrigation, and livestock purposes. Analytical Hierarchical Process (AHP) technique is used to extract weights of parameters that are needed in the calculation of Simple Additive Weighting (SAW) technique. Maps are created using Geographical Information Systems (GIS), and these maps shows the classes of suitable areas for each purpose depending upon the calculated indices which are extracted from SAW technique. The results show that the final map classifies the suitable parts according to the drinking, irrigation and livestock purposes, and it shows that the north eastern part of the studied area is suitable for irrigation and livestock only. A model of GIS and AHP is built to assess the suitability of GWQ in Al-Shekhan area, and can be a raw model to be applied to assess GWQ in any other area after inserting the values of their parameters.

Different Flexibilities of 3D Scanners and Their Impact on Distinctive Applications

3D scanners are supporting technology which offers a higher level of flexibility to create designs for ergonomic tooling, biocompatible surgical guides, and realistic prototypes and parts. Flexibility helps to reduce lead time, weight, cost, and product development time. Scanning technologies are in tandem with support software that helps a designer to (re)design products at a cheaper and faster rate. There is a need to understand different types of flexibilities and associated application of 3D scanner. In this article, we have conducted an extensive review of the available literature for identifying various flexibilities of 3D scanners and its applications. This research categorises 3D scanner flexibility and applications into five major types. From design to final quality inspection, these flexibilities play a significant role in industries and sectors to achieve optimum performance. Ranking of these flexibilities and their impact on different applications are accomplished using the analytical hierarchical process (AHP) with the help of expert opinion. The ranking of five significant flexibilities by using 3D scanners, undertaken through the AHP technique shows that scanning provides object flexibility at a higher level. The impacts of different flexibilities on applications are also weighted, and it shows that all flexibilities are enough to achieve application individually. This digital technology is helpful to create the customised product which is also helpful to achieve goals of Industry 4.0. It facilitates the customisation and has a significant impact on the design applications. This study provides an understanding of the 3D scanner in the context of flexibilities by identifying the different flexibilities it offers when used for different applications. Findings may assist developing a decision support system for the selection of 3D scanners for the different applications.

Hydrological assessment of groundwater potential zones of Cauvery River Basin, India: a geospatial approach

Groundwater is one of the prime sources of freshwater in tropical and sub-tropical regions. The unsustainable abstraction of groundwater and marked changes in the climate due to natural and anthropogenic processes, over the years, have imposed immense pressure on the pristine freshwater sources. Lack of adequate information on the spatial distribution of groundwater resources and its availability to human consumption is one of the challenges before the water managers of many fast-developing economies of the world. This warrants the need for a low-cost, easily applicable and reliable technology to assess the groundwater potential of river basins—the most fundamental unit for spatial planning. Here, we report a study carried out for delineation of groundwater potential zones in the Cauvery river basin (Basin area 82,283 km2) in Peninsular India using weighted overlay method, employing a total of 12 thematic layers. Weights assigned to each class in the thematic maps are based on their characteristics and water potential capacity following the analytical hierarchical process techniques. The resultant groundwater potential values were then classified into five categories such as excellent, good, moderate, low and poor for further analysis. An overall evaluation of the results reveals that about 65% of the basin area falls under moderate groundwater potential zones and 19% under excellent to good categories. The remaining areas fall under low and poor groundwater potential zones. An inter-comparison of the observations of the present study with that of the well data and ground truth verification reveals that the method adopted herein for the delineation of groundwater potential zones is about 85% accurate and hence the people concerned can go for further high-resolution investigations including direct test methods for groundwater development planning and its sustainable utilization.