Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal

Applied Water Science

Volumn 7, Issue 7, 2017, Pages 4117-4131

  Thapa, Raju ^a   Gupta, Srimanta ^a   Guin, Shirshendu ^a   Kaur, Harjeet ^a  

^a UNIVERSITY OF BURDWAN   (India)

Author keywords

Birbhum; Groundwater potential zone; India; Multi influencing factor (MIF) technique; Remote sensing and GIS; West Bengal

Indexed keywords

DECISION MAKING; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER RESOURCES; LAND USE; REMOTE SENSING;

BIRBHUM; CASE-STUDIES; GROUNDWATER POTENTIAL ZONE; GROUNDWATER POTENTIALS; INDIA; MONITORING ASSESSMENT; MULTI-INFLUENCING FACTOR TECHNIQUE; REMOTE SENSING AND GIS; STUDY AREAS; WEST BENGAL;

GROUNDWATER;

GIS; GROUNDWATER EXPLORATION; GROUNDWATER RESOURCE; RASTER; REMOTE SENSING; RESEARCH WORK; WATER MANAGEMENT;

BIRBHUM; INDIA; WEST BENGAL;

EID: 85114065994     PISSN: 21905487     EISSN: 21905495     Source Type: Journal    
DOI: 10.1007/s13201-017-0571-z     Document Type: Article

References (54)

1. Abrahart RJ, See LM, Solomatine DP (2008) Practical Hydroinformatics. In: Abrahart RJ, See LM, Solomatine DP (eds) Computational intelligence and technological developments in water applications. Springer, Heidelberg, p 505. doi:10.1007/978-3-540-79881-1
2. Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool—a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440:75–89. doi:10.1016/j.jhydrol.2012.03.028
3. Arkoprovo B, Adarsa J, Prakash SS (2012) Delineation of groundwater potential zones using satellite remote sensing and geographic information system techniques: a case study from Ganjam district, Orissa, India. Res J Recent Sci 1(9):59–66
4. CGWB (1985) Central Groundwater Board (ER): Hydrogeology and groundwater resources of Birbhum district, West Bengal. Technical Report; Series D; No. 30
5. CGWB (2009) Central Groundwater Board: Bhu-Jal News—Quarterly Journal of Central Ground Water Board with the objective to disseminate information and highlight various activities and latest technical advances in the field of Ground Water. Q J 24(1):12–17
6. Chung CJF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472. doi:10.1023/B:NHAZ.0000007172.62651.2b
7. Dabral S, Sharma N, Bhatt B, Joshi JP (2013) A geospatial technique for demarcating ground water recharge potential zones: a study of Mahi-Narmada Inter stream region, Gujarat. IJGGS 4(1):177–185
8. Davoodi MD, Rezaei M, Pourghasemi HR, Pourtaghi ZS, Pradhan B (2015) Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan watershed Iran. Arab J Geosci. doi:10.1007/s12517-013-1161-5
9. Dinesan VP, Gopinatha G, Ashitha MK (2015) Application of Geoinformatics for the Delineation of Groundwater Prospects Zones—a Case Study for Melattur Grama Panchayat in Kerala, India. International Conference on Water Resources, Coastal and Ocean Engineering (ICWRCOE ‘15). Aquatic Procedia, vol 4, pp 1389–1396
10. Hammouri NA, El-Naqa A, Barakat M (2012) An integrated approach to groundwater exploration using remote sensing and geographic information system. J Water Resour Prot 4(9):717–724. doi:10.4236/jwarp.2012.49081
11. Jha MK, Chowdary VM, Chowdhury A (2010) Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18:1713–1728. doi:10.1007/s10040-010-0631-z
12. Jothibasu A, Anbazhagan S (2016) Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process. Model Earth Syst Environ 2:109. doi:10.1007/s40808-016-0174
13. Kaliraj S, Chandrasekar N, Magesh NS (2014) Identification of potential groundwater recharge zones in vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arab J Geosci 7:1385–1401. doi:10.1007/s12517-013-0849-x
14. Klose M, Gruber D, Damm B, Gerold G (2014) Spatial databases and GIS as tools for regional landslide susceptibility modeling. Zeitschrift für Geomorphologie NF 58(1):1–36. doi:10.1127/0372-8854/2013/0119
15. Krishnamurthy J, Mani A, Jayaraman V, Manivel M (2000) Groundwater resources development in hard rock terrain: an approach using remote sensing and GIS techniques. Int J Appl Earth Obs Geoinf 3(3–4):204–215. doi:10.1016/S0303-2434(00)85015-1
16. Lee S, Kim YS, Oh HJ (2012a) Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping. J Environ Manag 96(1):91–105. doi:10.1016/j.jenvman.2011.09.016
17. Lee S, Song KY, Kim Y, Park I (2012b) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model. Hydrogeol J 20:1511–1527. doi:10.1007/s10040-012-0894-7
18. Machiwal D, Singh PK (2015) Comparing GIS-based multi-criteria decision-making and Boolean logic modelling approaches for delineating groundwater recharge zones. Arab Arabian J Geosci. doi:10.1007/s12517-015-2002-5
19. Machiwal D, Madan K, Jha MK, Bimal C, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manag 25:1359–1386. doi:10.1007/s11269-010-9749-y
20. Magesh NS, Chandrasekar N, Soundranayagam JP (2011) Morphometric evaluation of Papanasam and Manimuthar watersheds, parts of Western Ghats, Tirunelveli district, Tamil Nadu India: a GIS approach. Environ Earth Sci 64:373–381. doi:10.1007/s12665-010-0860-4
21. Magesh NS, Chandrasekar N, Soundranayagam JP (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. GSF 3(2):189–196. doi:10.1016/j.gsf.2011.10.007
22. Manap MA, Nampak H, Pradhan B, Lee S, Soleiman WNA, Ramli MF (2014) Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS. Arab J Geosci. doi:10.1007/s12517-012-0795-z
23. Mondal D, Gupta S, Reddy DV, Nagabhushanam P (2014) Geochemical controls on fluoride concentrations in groundwater from alluvial aquifers of the Birbhum district, West Bengal, India. J Geochem Explor 145:190–206. doi:10.1016/j.gexplo.2014.06.005
24. Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrol Process 5(1):3–30. doi:10.1002/hyp.3360050103
25. Mukherjee B, Rao MG, Karunakaran C (1969) Genesis of kaoline deposits of Birbhum, West Bengal, India. Clay Miner 8:161–170
26. Murthy KSR, Mamo AG (2009) Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele subbasin, South Ethiopia. Int J Remote Sens 30:2729–2740. doi:10.1080/01431160802468255
27. Nag SK (2005) Applicatiion of lineament density and hydrogeomorphology to delineate groundwater potential zones of Baghmundi block in Purulia district, West Bengal. J Indian Soc Remote Sens 33(4):521–529. doi:10.1007/BF02990737
28. Nag SK, Ray S (2015) Deciphering groundwater potential zones using geospatial technology: a study in Bankura Block I and Block II, Bankura District, West Bengal. Arab J Sci Eng 40:205–214. doi:10.1007/s13369-014-1511-y
29. Naghibi SA, Pourghasemi HR, Dixon B (2016) Groundwater spring potential using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environ Monit Assess 188:44. doi:10.1007/s10661-015-5049-6
30. Neuhäuser B, Damm B, Terhorst B (2012) GIS-based assessment of landslide susceptibility on the base of the weights-of-evidence model. Landslides 9:511–528. doi:10.1007/s10346-011-0305-5
31. PHED (Public Health Engineering Department) (2007) Government of West Bengal, Report. Activities & achievements in rural drinking water supply and other areas. http://www.wbphed.gov.in/applications/im/uploads/000643.pdf. Accessed 18th Aug 2016
32. Pourtaghi ZS, Pourghasemi HR (2014) GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran. Hydrogeol J 22:643–662. doi:10.1007/s10040-013-1089-6
33. Preeja KR, Sabu J, Jobin T, Vijith H (2011) Identification of groundwater potential zones of a tropical river basin (Kerala, India) using remote sensing and GIS techniques. J Indian Soc Remote Sens 39(1):83–94
34. Punmia BC, Jain AK, Jain AK (2005) Soil mechanics and foundations. Laxmi Publications (P) Ltd, New Delhi
35. Rassam DW, Pagendam DE, Hunter HM (2008) Conceptualisation and application of models for groundwater surface water interactions and nitrate attenuation potential in riparian zones. Environ Modell Softw 23:859–875. doi:10.1016/j.envsoft.2007.11.003
36. Razandi Y, Pourghasemi HR, Samani-Neisani N, Rahmati O (2015) Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS. Earth Sci Inf 8(4):867–883. doi:10.1007/s12145-015-0220-8
37. Saunders RJ (2001) Artificial recharge of groundwater as a water management option for eastern Maine. M.Sc. thesis. Bio-Resource Engineering, University of Maine, USA
38. Selvam S, Manimaran G, Sivasubramanian P, Balasubramanian N, Seshunarayana T (2014) GIS-based evaluation of water quality index of groundwater resources around Tuticorin coastal city, South India. Environ Earth Sci 71:2847–2867. doi:10.1007/s12665-013-2662-y
39. Sen KK, Vijaya L (2005) Palynological study of the Dubrajpur formation in the Mesozoic Succession, Pachami area, Birbhum coalfield, West Bengal. J Palaeontol Soc India 50(1):121–133. http://palaeontologicalsociety.in/vol50_1/v8.pdf
40. Sen KK, Datta RK, Bandopadhaya SK (1987) Birbhum coalfield—a major coalfield discovered. In: Proceedings of the National Seminar on Coal Resources of India, pp 417–427
41. Senanayake IP, Dissanayake DMDOK, Mayadunna BB, Weerasekera WL (2016) An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geosci Front 7:115–124. doi:10.1016/j.gsf.2015.03.002
42. Senthil-Kumar GR, Shankar K (2014) Assessment of groundwater potential zones using GIS. Front Geosci 2(1):1–10
43. Shaban A, Khawlie M, Abdallah C (2006) Use of remote sensing and GIS to determine recharge potential zone: the case of Occidental Lebanon. Hydrogeol J 14(4):433–443. doi:10.1007/s10040-005-0437-6
44. Singh P, Gupta A, Singh M (2014) Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques. Egypt J Remote Sens Space Sci 17:111–121. doi:10.1016/j.ejrs.2014.09.003
45. Singh A, Srivastav SK, Kumar S, Chakrapani GJ (2015) A modified DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India. Environ Earth Sci 74(7):5475–5490. doi:10.1007/s12665-015-4558-5
46. Sterlacchini S, Ballabio C, Blahut J, Masetti M, Sorichetta A (2011) Spatial agreement of predicted patterns in landslide susceptibility maps. Geomorphology 125:51–61. doi:10.1016/j.geomorph.2010.09.004
47. Taheri K, Gutiérrez F, Mohseni H, Raeisi E, Taheri M (2015) Sinkhole susceptibility mapping using the analytical hierarchy process (AHP) and magnitude-frequency relationships: a case study in Hamadan province, Iran. Geomorphology 234:64–79. doi:10.1016/j.geomorph.2015.01.005
48. Taheri K, Taheri M, Parise M (2016) Impact of intensive groundwater exploitation on an unprotected covered karst aquifer: a case study in Kermanshah Province, western Iran. Environ Earth Sci 75:122. doi:10.1007/s12665-016-5995-5
49. Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504(11):69–79. doi:10.1016/j.jhydrol.2013.09.034
50. Thapa R, Gupta S, Reddy DV (2016) Application of geospatial modelling technique in delineation of fluoride contamination zones within Dwarka Basin, Birbhum, India. Geosci Front. doi:10.1016/j.gsf.2016.11.006
51. Thomas J, Joseph S, Thrivikramji K, Abe G, Kannan N (2012) Morphometrical analysis of two tropical mountain river basins of contrasting environmental settings, the southern Western Ghats, India. Environ Earth Sci 66(8):2353–2366. doi:10.1007/s12665-011-1457-2
52. Umar Z, Pradhan B, Ahmad A, Jebur MN, Tehrany MS (2014) Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. Catena 118:124–135. doi:10.1016/j.catena.2014.02.005
53. Van Westen CJ, Rengers N, Soeters R (2003) Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards 30:399–419. doi:10.1023/B:NHAZ.0000007097.42735.9e
54. Zabihi M, Pourghasemi HR, Pourtaghi ZS, Behzadfar M (2016) GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran. Environ Earth Sci 75:665. doi:10.1007/s12665-016-5424-9