An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the main objective of this study is to delineate potential groundwater zones in Kilinochchi, Sri Lanka, using integrated remote sensing (RS), geographic information systems (GIS) and the analytical hierarchy process (AHP). Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. The thematic layers were integrated into a geographic information system, and a weighted overlay analysis was carried out to delineate groundwater zones. Thus the resultant map is categorized into five different potential zones: very low (59.12 km2), low (207.78 km2), moderate (309.89 km2), high (507.74 km2), and very high (111.26 km2). The groundwater potential map was validated with the existing seventy-nine wells, which indicated a good prediction accuracy of 81.8%. This suggests that the results obtained by integrating RS-GIS and AHP are well-matched with the existing well water depth. The AHP approach based on RS-GIS was a handy and efficient technique for assessing potential groundwater zones. This research will help policymakers better manage the Kilinochchi district’s groundwater resources and give scope for further research into groundwater exploration in the area.

[1]  Dhekra Souissi,et al.  Mapping groundwater recharge potential zones in arid region using GIS and Landsat approaches, southeast Tunisia , 2018 .

[2]  N. Chandrasekar,et al.  Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques , 2012 .

[3]  R. Çelik,et al.  Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey , 2021, Sustainability.

[4]  Hadi Allafta,et al.  Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin , 2020, Remote. Sens..

[5]  R. Chandrajith,et al.  Characterization of groundwater in Malala Oya river basin, Sri Lanka using geochemical and isotope signatures , 2019, Groundwater for Sustainable Development.

[6]  D. Jhariya,et al.  Assessment of groundwater potential zone using GIS-based multi-influencing factor (MIF), multi-criteria decision analysis (MCDA) and electrical resistivity survey techniques in Raipur city, Chhattisgarh, India , 2021, Journal of Water Supply: Research and Technology-Aqua.

[7]  S. Das,et al.  Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India , 2021, Ecological Indicators.

[8]  F. Dominici,et al.  The Future of Climate Epidemiology: Opportunities for Advancing Health Research in the Context of Climate Change. , 2019, American journal of epidemiology.

[9]  Ozgur Kisi,et al.  Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms , 2021 .

[10]  Christine N. Buzinde,et al.  TOURISTS' PERCEPTIONS IN A CLIMATE OF CHANGE Eroding Destinations , 2010 .

[11]  Sadhan Malik,et al.  Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques , 2018, Geology, Ecology, and Landscapes.

[12]  David W. S. Wong,et al.  An adaptive inverse-distance weighting spatial interpolation technique , 2008, Comput. Geosci..

[13]  T. Subramani,et al.  Delineation of groundwater potential zones and recommendation of artificial recharge structures for augmentation of groundwater resources in Vattamalaikarai Basin, South India , 2020, Environmental Earth Sciences.

[14]  Mahesh Edirisinghe,et al.  Spatial Variability of Rainfall Trends in Sri Lanka from 1989 to 2019 as an Indication of Climate Change , 2021, ISPRS Int. J. Geo Inf..

[15]  T. Andualem,et al.  Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia , 2019, Journal of Hydrology: Regional Studies.

[16]  Muhammad Habib ur Rahman,et al.  Mapping Groundwater Potential for Irrigation, by Geographical Information System and Remote Sensing Techniques: A Case Study of District Lower Dir, Pakistan , 2021 .

[17]  Samy Elmahdy,et al.  Regional Mapping of Groundwater Potential in Ar Rub Al Khali, Arabian Peninsula Using the Classification and Regression Trees Model , 2021, Remote. Sens..

[18]  Duong Hai Ha,et al.  Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping , 2021, Water Resources Management.

[19]  N. Mondal,et al.  Identification of Groundwater Potential Zones Using RS, GIS and AHP Techniques: A Case Study in a Part of Deccan Volcanic Province (DVP), Maharashtra, India , 2020, Journal of the Indian Society of Remote Sensing.

[20]  Elham Forootan,et al.  GIS-based multi-criteria decision making and entropy approaches for groundwater potential zones delineation , 2021, Earth Science Informatics.

[21]  S. Kaliraj,et al.  Assessment of groundwater potential zones in Chittar basin, Southern India using GIS based AHP technique , 2019, Remote Sensing Applications: Society and Environment.

[22]  Balamurugan Guru,et al.  Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India , 2017 .

[23]  O. Igwe,et al.  An integrated geomatics approach to groundwater potential delineation in the Akoko-Edo Area, Nigeria , 2017, Environmental Earth Sciences.

[24]  Peiyue Li,et al.  Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India , 2019, HydroResearch.

[25]  S. Saravanan,et al.  GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India , 2020 .

[26]  Muhammad Younas,et al.  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 , 2021, Water.

[27]  M. Ranagalage,et al.  Satellite-Based Meteorological and Agricultural Drought Monitoring for Agricultural Sustainability in Sri Lanka , 2021, Sustainability.

[28]  Pitam Singh,et al.  Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India , 2021, Geocarto International.

[29]  R. Arefin Groundwater potential zone identification at Plio-Pleistocene elevated tract, Bangladesh: AHP-GIS and remote sensing approach , 2020, Groundwater for Sustainable Development.

[30]  Sandipan Das,et al.  ‘Lineaments’ the Potential Groundwater Zones in Hard Rock Area: A Case Study of Basaltic Terrain of WGKKC-2 Watershed from Kalmeswar Tehsil of Nagpur District, Central India , 2018, Journal of the Indian Society of Remote Sensing.

[31]  V. Chowdary,et al.  Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques , 2010 .

[32]  Manjula Ranagalage,et al.  Application of Geospatial Techniques for Groundwater Quality and Availability Assessment: A Case Study in Jaffna Peninsula, Sri Lanka , 2018, ISPRS Int. J. Geo Inf..

[33]  S. Boutaleb,et al.  Mapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco) , 2020, Water.

[34]  Mithas Ahmad Dar,et al.  GIS-Based Multi-criteria Evaluation for Deciphering of Groundwater Potential , 2019, Journal of the Indian Society of Remote Sensing.

[35]  J. Krishnamurthy,et al.  Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data , 1995 .

[36]  Giles M. Foody,et al.  Harshness in image classification accuracy assessment , 2008 .

[37]  K. Ibrahim-Bathis,et al.  Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India , 2016 .

[38]  Subodh Chandra Pal,et al.  Modeling and mapping of groundwater potentiality zones using AHP and GIS technique: a case study of Raniganj Block, Paschim Bardhaman, West Bengal , 2018, Modeling Earth Systems and Environment.

[39]  S. Herath,et al.  Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques , 2016, Sustainable Water Resources Management.

[40]  H. Pourghasemi,et al.  Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS , 2015, Arabian Journal of Geosciences.

[41]  I. Arulingam,et al.  The New Water: Opportunities and Challenges of the Rise to Prominence of Groundwater in Sri Lanka in the Face of Socioeconomic and Climatic Change , 2018 .

[42]  Susanta Mahato,et al.  Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh , 2020 .

[43]  D. Pathak,et al.  Review on Practices and State of the Art Methods on Delineation of Ground Water Potential Using GIS and Remote Sensing , 2018, Bulletin of the Department of Geology.

[44]  M. J. Nandan,et al.  Regional Groundwater Assessment of Krishna River Basin Using Integrated GIS Approach , 2018, Journal of the Indian Society of Remote Sensing.

[45]  V. M. Chowdary,et al.  Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques , 2009 .

[46]  K. Villholth,et al.  Groundwater Resources and Management Challenges in Sri Lanka–an Overview , 2010 .

[47]  I. P. Senanayake,et al.  An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques , 2016 .

[48]  S. Pal,et al.  Combination of GIS and fuzzy-AHP for delineating groundwater recharge potential zones in the critical Goghat-II block of West Bengal, India , 2019 .

[49]  Abel O. Talabi,et al.  Delineation of groundwater potential zones in the crystalline basement terrain of SW-Nigeria: an integrated GIS and remote sensing approach , 2014, Applied Water Science.

[50]  M. Rajasekhar,et al.  Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches , 2019, HydroResearch.

[51]  Bowen Cai,et al.  Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China , 2020, Environ. Model. Softw..

[52]  Sunil Kumar Singh,et al.  Water Balance Approach for Rainwater Harvesting using Remote Sensing and GIS Techniques, Jammu Himalaya, India , 2009 .

[53]  B. C. Thomas,et al.  A method for groundwater prospect zonation in data poor areas using remote sensing and GIS: a case study in Kalikavu Panchayath of Malappuram district, Kerala, India , 2009, Int. J. Digit. Earth.

[54]  Jobin Thomas,et al.  Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP) , 2020 .

[55]  A. Davarpanah,et al.  Statistical Modeling for Spatial Groundwater Potential Map Based on GIS Technique , 2021, Sustainability.

[56]  Pradeep Garg,et al.  Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique , 2015, Water Resources Management.

[57]  G. Bhunia An approach to demarcate groundwater recharge potential zone using geospatial technology , 2020, Applied Water Science.

[58]  Darius Phiri,et al.  Multi-Decadal Forest-Cover Dynamics in the Tropical Realm: Past Trends and Policy Insights for Forest Conservation in Dry Zone of Sri Lanka , 2020 .

[59]  Gaolatlhe Bhutto Lentswe,et al.  Delineation of potential groundwater recharge zones using analytic hierarchy process-guided GIS in the semi-arid Motloutse watershed, eastern Botswana , 2020 .

[60]  Tarun Kumar,et al.  Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones , 2014, Water Resources Management.

[61]  Imran Ahmad,et al.  GIS and fuzzy logic techniques-based demarcation of groundwater potential zones: A case study from Jemma River basin, Ethiopia , 2020 .

[62]  I. Senanayake,et al.  Identification of artificial groundwater recharge zones in Vavuniya district using remote sensing and GIS , 2019, AGRIEAST: Journal of Agricultural Sciences.

[63]  V. Aslan,et al.  Determination of groundwater potential distribution of Ceylanpinar Plain (Turkey) in Upper Mesopotamia by using geographical information techniques and Fuzzy-AHP with MCDM , 2021, Water Supply.

[64]  C. León,et al.  Climate change, coastal tourism, and impact chains – a literature review , 2020, Current Issues in Tourism.

[65]  M. Sibanda,et al.  An assessment of groundwater use in irrigated agriculture using multi-spectral remote sensing , 2020 .

[66]  Junaid Qadir,et al.  Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya, Jammu and Kashmir , 2019, GeoJournal.

[67]  Chen-Wuing Liu,et al.  Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan , 2012, Paddy and Water Environment.

[68]  Ümit Yıldırım,et al.  Identification of Groundwater Potential Zones Using GIS and Multi-Criteria Decision-Making Techniques: A Case Study Upper Coruh River Basin (NE Turkey) , 2021, ISPRS Int. J. Geo Inf..

[69]  Manjula Ranagalage,et al.  Analysis of Life Quality in a Tropical Mountain City Using a Multi-Criteria Geospatial Technique: A Case Study of Kandy City, Sri Lanka , 2020, Sustainability.

[70]  M. Ramli,et al.  Land Suitability Analysis of Urban Growth in Seremban Malaysia, Using GIS Based Analytical Hierarchy Process , 2017 .

[71]  Tanveer Dar,et al.  Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP) , 2020, Geology, Ecology, and Landscapes.

[72]  Shamsuddin Shahid,et al.  Delineation of groundwater potential zones using a parsimonious concept based on catastrophe theory and analytical hierarchy process , 2021, Hydrogeology Journal.

[73]  F. Kayitakire,et al.  Mapping of groundwater potential zones in the drought-prone areas of south Madagascar using geospatial techniques , 2020, Geoscience Frontiers.

[74]  M. Kumari,et al.  Classification of Groundwater Suitability for Irrigation in the Ulagalla Tank Cascade Landscape by GIS and the Analytic Hierarchy Process , 2019, Agronomy.

[75]  Sunil Saha,et al.  Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal , 2017, Spatial Information Research.

[76]  B. Pradhan,et al.  Application of GIS based data driven evidential belief function model to predict groundwater potential zonation , 2014 .

[77]  G. Herath Overview of Groundwater Management, the Agrowell Program, and the Impact of the 2004 Tsunami in Sri Lanka , 2006 .

[78]  Prashant K. Srivastava,et al.  Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection , 2020, Modeling Earth Systems and Environment.

[79]  T. Syed,et al.  Characterization of groundwater potential and artificial recharge sites in Bokaro District, Jharkhand (India), using remote sensing and GIS-based techniques , 2015, Environmental Earth Sciences.

[80]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[81]  O. Adeyeye,et al.  GIS-based groundwater potential mapping within Dengi area, North Central Nigeria , 2019, The Egyptian Journal of Remote Sensing and Space Science.

[82]  Pulak Mishra,et al.  Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process , 2018 .

[83]  D. Jhariya,et al.  Groundwater prospect mapping using remote sensing, GIS and resistivity survey techniques in Chhokra Nala Raipur district, Chhattisgarh, India , 2019, Journal of Water Supply: Research and Technology-Aqua.

[84]  M. Msabi,et al.  Identification of groundwater potential recharge zones using GIS-based multi-criteria decision analysis: A case study of semi-arid midlands Manyara fractured aquifer, North-Eastern Tanzania , 2021 .

[85]  V. M. Chowdary,et al.  Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis , 2014 .