Geographical Information System, Remote Sensing and Multi Influencing Factors Techniques for Delineation of Groundwater Potential Zones in District Charsadda, Khyber Pakhtunkhwa, Pakistan

Authors

  • Abdur Raziq Department of Geography, Islamia College University, Peshawar, Pakistan
  • Muhammad Sohaib Department of Geography, University of Peshawar, Peshawar, Pakistan
  • Syed Naeem Ud Din Department of Geography, University of Peshawar, Peshawar, Pakistan
  • Ihsanullah Department of Geography, University of Peshawar, Peshawar, Pakistan
  • Tariq Sardar Departmenmt of Environmental Sciences, Kohat University of Science & Technology, Kohat 26000, Pakistan

DOI:

https://doi.org/10.53560/PPASB(61-2)862

Keywords:

Geographical Information System, Remote Sensing, Multi Influencing Factor, Groundwater Potential Zones, Weighted Overlay Tool

Abstract

The effective harvesting of groundwater and its sustainable management is possible with the proper identification of zones on its potential basis. For this purpose, geographical information system (GIS) and Remote Sensing (RS) data approaches were combined and used for the investigation, preservation, and evaluation of groundwater supply. This study aimed to assess groundwater delineation and availability-based potential of groundwater area in Charsadda District, KPK, Pakistan, by applying the approach of RS, GIS, and multi-influencing factors (MIF). For this purpose, digital elevation model (DEM), shuttle radar topographic mission (SRTM), and sentinel 2 satellite images were employed to produce numerous thematic layers, i.e., land use land cover (LULC), drainage density, lineament density, geology, slope soil, and rainfall as MIF in this study. After assigning a fixed score and weight to each thematic layer (MIF techniques), then an analyzed spatial layer was combined with a weighted overlay using ArcGIS software (ArcMap 10.5) and finally potential area for groundwater was defined. The obtained potential area of groundwater was categorized spatially as, very high, high, moderate, and low zones which depict most of the area is covered with moderate (547.66 km2) to high (306.7 Km2), as well as, high highest groundwater potential in 7 km2. The results of this study and the approach will be applicable and insightful for regional and extensive levels of developmental planning and harvesting of groundwater resources.

References

Z. Yasmeen, A. Zaidi, and M. Afzaal. Rainfall runoff modeling using geo-spatial techniques in Tarbela sub-catchment. Pakistan Journal of Meteorology 12(24): (2016).

K.S.R. Murthy. Ground water potential in a semi-arid region of Andhra Pradesh-a geographical information system approach. International Journal of Remote Sensing 21(9): 1867-1884 (2000).

E. Sener, A. Davraz, and M. Ozcelik. An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeology Journal 13: 826-834 (2005).

K. Ibrahim-Bathis and S.A. Ahmed. Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. The Egyptian Journal of Remote Sensing and Space Science 19(2): 223-234 (2016).

V.M Rokade, P. Kundal and A.K. Joshi. Water resources development action plan for sasti watershed, Chandrapur district, Maharashtra using remote sensing and geographic information system. Journal of the Indian society of remote sensing 32: 363-372 (2004).

N.S. Magesh, N. Chandrasekar and J.P. Soundranayagam. Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience frontiers 3(2): 189-196 (2012).

A. Thomas, P.K. Sharma, M.K. Sharma and A. Sood. Hydrogeomorphological mapping in assessing ground water by using remote sensing data—A case study in lehra gaga block, sangrur district, Punjab. Journal of the Indian Society of Remote Sensing 27: 31-42 (1999).

P. Harinarayana, G.S. Gopalakrishna and A. Balasubramanian. Remote sensing data for groundwater development and management in Keralapura watersheds of Cauvery basin, Karnataka, India. Indian Mineral 34(2): 11-17 (2000).

A. Chowdhury, M.K. Jha, and V.M. Chowdary. Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environmental Earth Sciences 59: 1209-1222 (2010).

R.S. Shelar, S.B. Nandgude, C.B. Pande, R. Costache, G.A. El-Hiti, A.D. Tolche, and K.K. Yadav. Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques. Geomatics, Natural Hazards and Risk 14(1): 2264458 (2023).

A.A. Ghanim, A.M. Al-Areeq, M. Benaafi, M.S. Al-Suwaiyan, A.A.A. Aghbari, and M. Alyami. Mapping Groundwater Potential Zones in the Habawnah Basin of Southern Saudi Arabia: An AHP-and GIS-based Approach. Sustainability 15(13): 10075 (2023).

T. Alharbi, K. Abdelrahman, A.S. El-Sorogy, and E. Ibrahim. Identification of groundwater potential zones in the Rabigh-Yanbu area on the western coast of Saudi Arabia using remote sensing (RS) and geographic information system (GIS). Frontiers in Earth Science 11: 1131200 (2023).

A. Abdullahi, M. Jothimani, E. Getahun, J. Gunalan, and A. Abebe. Assessment of potential groundwater Zones in the drought-prone Harawa catchment, Somali region, eastern Ethiopia using geospatial and AHP techniques. The Egyptian Journal of Remote Sensing and Space Science 26(3): 628-641(2023).

J. Gambo, S.N.A. binti Roslan, H.Z.M. Shafrib, N.N.C. Ya, and Y.A. Yusuf. Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria. Groundwater for Sustainable Development 101038 (2023).

S.O. Tweed, M. Leblanc, J.A. Webb and M.W. Lubczynski. Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeology Journal 15: 75-96 (2007).

P. Mukherjee, C.K. Singh and S. Mukherjee. Delineation of groundwater potential zones in arid region of India a remote sensing and GIS approach. Water Resources Management 26: 2643-2672 (2012).

S. Ganapuram, G.V. Kumar, I.M. Krishna, E. Kahya and M.C. Demirel. Mapping of groundwater potential zones in the Musi basin using remote sensing data and GIS. Advances in Engineering Software 40(7): 506-518 (2009).

T.G. Andualem and G.G. Demeke. Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper Blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies 24: 100610 (2019).

O.G. Ajayi, I.J. Nwadialor, J.O. Odumosu, O.O. Adetunji, and I.O. Abdulwasiu. Assessment and delineation of groundwater potential zones using integrated geospatial techniques and analytic hierarchy process. Applied Water Science 12(12): 276 (2022).

J.L. Uc Castillo, D.A. Martínez Cruz, J.A.R. Leal, J.T. Vargas, S.A.R. Tapia, and A.E.M. Celestino. Delineation of groundwater potential zones (GWPZs) in a semi-arid basin through remote sensing, GIS, and AHP approaches. Water 14(13): 2138 (2022).

C. He. W. Chen, H. Zhou, Y. Xue, and M.A. Zhu. Comparative study among machine learning and numerical models for simulating groundwater dynamics in the Heihe River Basin, northwestern China. Scientific Reports 10(1): 3904 (2020).

M. Farzin, M. Avand, H. Ahmadzadeh, M. Zelenakova, and J.P. Tiefenbacher. Assessment of ensemble models for groundwater potential modeling and prediction in a karst watershed. Water 13(18): 2540 (2021).

S. Gyeltshen, T.V. Tran, G.K.T. Gunda, S. Kannaujiya, R.S. Chatterjee, and P.K. Champatiray. Groundwater potential zones using a combination of geospatial technology and geophysical approach: case study in Dehradun, India. Hydrological Sciences Journal 65(2): 169-182 (2020).

U. Khan, H. Faheem, Z. Jiang, M. Wajid, M. Younas, and B. Zhang. Integrating a GIS-based multi-influence factors model with hydro-geophysical exploration for groundwater potential and hydrogeological assessment: A case study in the Karak Watershed, Northern Pakistan. Water 13(9): 1255 (2021).

B. Etikala, V. Golla, P. Li, and S. Renati. Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India. HydroResearch 1: 1-7 (2019).

C.B. Pande, K.N. Moharir, B. Panneerselvam, S.K. Singh, A. Elbeltagi, Q.B. Pham, and J. Rajesh. Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques. Applied Water Science 11(12): 186 (2021).

P. Mandal, J. Saha, S. Bhattacharya, and S. Paul. Delineation of groundwater potential zones using the integration of geospatial and MIF techniques: A case study on Rarh region of West Bengal, India. Environmental Challenges 5: 100396 (2021).

S. Sutradhar, P. Mondal, and N. Das. Delineation of groundwater potential zones using MIF and AHP models: a micro-level study on Suri Sadar Sub-Division, Birbhum District, West Bengal, India. Groundwater for Sustainable Development 12: 100547 (2021).

A. Memon, K. Ansari, A.G. Soomro, M.A. Jamali, B. Naeem, and A. Ashraf. Estimation of groundwater potential using GIS modeling in Kohistan region Jamshoro district, Southern Indus basin, Sindh, Pakistan (a case study). Acta Geophysica 68: 155-165 (2020).

S.A. Naghibi, D.D. Moghaddam, B. Kalantar, B. Pradhan, and O. Kisi. A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping. Journal of Hydrology 548: 471-483 (2017).

H. Nampak, B. Pradhan and M.A. Manap. Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Journal of Hydrology 513: 283-300 (2014).

C.B. Pande, S.F.R. Khadri, K.N. Moharir, and R.S. Patode. Assessment of groundwater potential zonation of Mahesh River basin Akola and Buldhana districts, Maharashtra, India using remote sensing and GIS techniques. Sustainable Water Resources Management 4: 965-979 (2018).

O. Rahmati, A.N. Samani, M. Mahdavi, H.R. Pourghasemi, and H. Zeinivand. Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Journal of Geosciences 8: 7059-7071 (2015).

H.F. Yeh, Y.S. Cheng, H.I. Lin, and C.H. Lee. Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environment Research 26(1): 33-43 (2016).

P.K.D. Kumar, G. Gopinath, and P. Seralathan. Application of remote sensing and GIS for the demarcation of groundwater potential zones of a river basin in Kerala, southwest coast of India. International Journal of Remote Sensing 28(24): 5583-5601 (2007).

K.R. Preeja, S. Joseph, J. Thomas, and H. Vijith. Identification of groundwater potential zones of a tropical river basin (Kerala, India) using remote sensing and GIS techniques. Journal of the Indian Society of Remote Sensing 39: 83-94 (2011).

F. Alam, M. Azmat, R. Zarin, S. Ahmad, A. Raziq, H.W.V. Young, and Y.A. Liou. Identification of potential natural aquifer recharge sites in Islamabad, Pakistan, by integrating GIS and RS techniques. Remote Sensing 14(23): 6051(2022).

D. Khan, A. Raziq, H.W.V. Young, T. Sardar, and Y.A. Liou. Identifying potential sites for rainwater harvesting structures in Ghazi Tehsil, Khyber Pakhtunkhwa, Pakistan, using geospatial approach. Remote Sensing 14(19): 5008 (2022).

R. Ahmad, H.F. Gabriel, F. Alam, R. Zarin, A. Raziq, M. Nouman, and Y.A. Liou. Remote sensing and GIS based multi-criteria analysis approach with application of AHP and FAHP for structures suitability of rainwater harvesting structures in Lai Nullah, Rawalpindi, Pakistan. Urban Climate 53: 101817 (2024).

H.C. Prasad, P. Bhalla, and S. Palria. Site suitability analysis of water harvesting structures using remote sensing and GIS–A case study of Pisangan watershed, Ajmer District, Rajasthan. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 40: 1471-1482 (2014).

C.W. Maina, and J.M. Raude. Assessing land suitability for rainwater harvesting using geospatial techniques: A case study of Njoro catchment, Kenya. Applied and Environmental Soil Science 2016(1): 4676435 (2016).

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Published

2024-06-28

How to Cite

Abdur Raziq, Sohaib, M., Naeem Ud Din, S. N. U. D., Ihsanullah, & Sardar, T. (2024). Geographical Information System, Remote Sensing and Multi Influencing Factors Techniques for Delineation of Groundwater Potential Zones in District Charsadda, Khyber Pakhtunkhwa, Pakistan. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 61(2), 189–198. https://doi.org/10.53560/PPASB(61-2)862

Issue

Vol. 61 No. 2 (2024)

Section

Research Articles

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