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Comparative Analysis of Ground Water Potentiality Zone using Fuzzy-AHP and Frequency Ratio Techniques


  • Deepjyoti Bora Department of Geography, Cotton University, Guwahati



The growing population and inadequate water supply is one of the major issues of groundwater resource management in urban areas. In order to tackle such issues, it is necessary to provide adequate information to guide the future urban planning. The study emphasizes on identification of groundwater potential zone (GWPZ) in Guwahati Municipal Corporation (GMC) area. For this purpose, nine conditioning factors namely land use/land cover (LULC), temperature wetness index (TWI), slope, soil, geomorphology, lithology, lineament density, drainage density, and rainfall were taken into consideration to prepare and reclassify using ArcGIS mapping tool and processed in Fuzzy analytical hierarchy process (FAHP) and frequency ratio and (FR) statistical methods. GWPZ map is generated based on two models and randomly selecting 503 wells. The samples were divided into training (70%) and testing (30%) datasets to prepare ROC curves and to assess the accuracy of the two methods. The finding indicates that the training data outcome of FAHP methods (AUC=0.727), FR methods (AUC=0.845) and the testing data AUC using FAHP(AUC=0.730) and FR (AUC=0.821) respectively. The validation result shows that AUC of FR models performed better than FAHP model, thus result appeared to be satisfactory, which means, the zone determined on the map being the relative groundwater potential zone. GWPZ map prepared through this method can be useful to GMC for comprehensive evaluation of groundwater exploration, development, and water resource management for future planning.


Groundwater, Frequency ratio, AHP


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Ajay Kumar, V., Mondal, N.C. & Ahmed, S. Identification of Groundwater Potential Zones Using RS, GIS and AHP Techniques: A Case Study in a Part of Deccan Volcanic Province (DVP), Maharashtra, India. J Indian Soc Remote Sens 48, 497–511 (2020).

Bhuyan, M. J., & Deka, N. (2024). Understanding human-water nexus in a floodplain district of the Brahmaputra Valley, India: An integration of socio-hydrological and rural hydrological approaches. Science of The Total Environment, 906, 167525.

Bordoloi, A., Singh, K.K. & Gaichunglu, G. Application of analytical hierarchy process and GIS techniques to delineate the groundwater potential zones in and around Jorhat and Majuli areas of eastern Assam, India. Model. Earth Syst. Environ. 9, 1589–1612 (2023).

Brookshire, D. S., & Whittington, D. (1993). Water resources issues in the developing countries. Water Resources Research, 29(7), 1883-1888.

CGWB (2017). Dynamic groundwater resources of India (as on 31st March 2013), report, Central Ground Water Board, Delhi, Ministry of Water Resources, River Development and Ganga Rejuvenation, Government of India.

Elmahmoudi, F., Abra, O. E., Raihani, A., Serrar, O., & Bahatti, L. (2019, April). GIS based fuzzy analytic hierarchy process for wind energy sites selection. In 2019 International Conference on Advanced Communication Technologies and Networking (CommNet) (pp. 1-8). IEEE.

Elvis, B. W. W., Arsene, M., Theophile, N. M., Bruno, K. M. E., & Olivier, O. A. (2022). Integration of Shannon Entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, Méiganga area, Adamawa Cameroon. Journal of Hydrology: Regional Studies, 39, 100997.

Geological Survey of India, 2022. Bhukosh. Geological Survey of India. (accessed April 4, 2023)

Goepel, K. D. (2013, June). Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises–a new AHP excel template with multiple inputs. In Proceedings of the international symposium on the analytic hierarchy process (Vol. 2, No. 10, pp. 1-10). Kuala Lumpur, Malaysia: Creative Decisions Foundation Kuala Lumpur.

Goswami, M., & Rabha, D. (2020). Trend analysis of ground-water levels and rainfall to assess sustainability of groundwater in Kamrup metropolitan district of Assam in Northeast India.

Hole?ek P., Talašová, J.: A free software tool implementing the fuzzy AHP method, Proceedings of the 34th International Conference on Mathematical Methods in Economics 2016, Liberec, Czech Republic, p. 266 – 271, ISBN 978-80-7494-296-9.

India Meteological Department (IMD), Pune. Climate Monitoring and Prediction Group. (accessed April 4, 2023)

Krej?í, J., Pavla?ka, O., & Talašová, J. (2017). A fuzzy extension of analytic hierarchy process based on the constrained fuzzy arithmetic. Fuzzy Optimization and Decision Making, 16, 89-110.

Lee SK, Mogi G, Hui KS (2013) A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efciently allocating energy R&D resources: In the case of energy technologies against high oil prices. Renew Sustain Energy Rev 21:347–355.

Maity, B., Mallick, S. K., Das, P., & Rudra, S. (2022). Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods. Applied Water Science, 12(4), 63.

Monjit Borthakur, Bhrigu Kr. Nath (2018). A Study of Changing Urban Landscape and Heat Island Phenomenon in Guwahati Metropolitan Area; Int J Sci Res Publ 2(11)

Muavhi, N., & Mutoti, M. I. (2023). Using geospatial techniques and analytic hierarchy process to map groundwater potential zones. Groundwater, 61(4), 494-509.

National Bureau of Soil Survey and Land Use Planning (NBSS & LUP). Soil Resources of Assam for land use planning.

National Remote Sensing Centre, ISRO, Government of India, Hyderabad, India. Bhuvan. Thematic Data. (accessed April 4, 2023)

Osiakwan, G. M., Gibrilla, A., Kabo-Bah, A. T., Appiah-Adjei, E. K., & Anornu, G. (2022). Delineation of groundwater potential zones in the central region of ghana using gis and fuzzy analytic hierarchy process. Modeling Earth Systems and Environment, 8(4), 5305-5326.

Patowary, S., & Sarma, A. K. (2018). Model-based analysis of urban settlement process in eco-sensitive area of developing country: a study with special reference to hills of an Indian city. Environment, Development and Sustainability, 20, 1777-1795.

Phukan, J. C., Baruah, S., & Goswami, C. (2018). Sustainable Development of Guwahati: Is Satellite Township a Viable Solution?

Phukon, P., Chetia, D., & Laskar, A. A. (2012). Application of remote sensing and geographic information system for groundwater resource mapping: a preliminary appraisal in Guwahati City, Assam. International Journal of Computer Applications in Engineering Sciences, 2(2), 107-113.

Rahaman, M. H., Sajjad, H., Roshani, Masroor, M., Bhuyan, N., & Rehman, S. (2022). Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence from the lower Thoubal river watershed of Manipur, India. Arabian Journal of Geosciences, 15(8), 677.

Saaty, T. (1980, November). The analytic hierarchy process (AHP) for decision making. In Kobe, Japan (Vol. 1, p. 69).

Soltani, G., & Saboohi, M. (2008, November). Economic and social impacts of groundwater overdraft: The case of Iran. In Paper submitted to 15th ERF annual conference, Cairo, Egypt (pp. 23-25).

Sresto, M. A., Siddika, S., Haque, M. N., & Saroar, M. (2021). Application of fuzzy analytic hierarchy process and geospatial technology to identify groundwater potential zones in north-west region of Bangladesh. Environmental Challenges, 5, 100214.

U.S. Geological Survey (2019). Earth Explorer. Satellite Data.