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Journal of the Geological Society of India

, Volume 75, Issue 2, pp 432–438 | Cite as

Study on groundwater recharge potentiality of Barind Tract, Rajshahi District, Bangladesh using GIS and Remote Sensing technique

  • M. I. Adham
  • C. S. Jahan
  • Q. H. Mazumder
  • M. M. A. Hossain
  • Al-Mamunul Haque
Article

Abstract

The groundwater recharge potentiality in Barind Tract in Rajshahi district, Northwest Bangladesh was studied based on Geographical Information System (GIS) and Remote Sensing technique. In this connection satellite images (Landsat 7 ETM and SPOT) and aerial photos were subjected to several treatment processes using softwares like ERDAS Imagine and ESRI’s Arc View. Thus various thematic maps have been prepared for drainage density, lineaments, lithology and land cover/use that allowed deciding their interactive effect. In the present study, the degree of effect was determined for each factor to assess the total groundwater recharge potentiality for two categories (moderate to low). The resultant map shows that 85% of the area has low, and rest has moderate groundwater recharge potentiality. Finally only 8.6% of the total average annual precipitated water (1685mm) percolates into subsurface and ultimately contributes to recharge the groundwater.

Keywords

GIS Remote sensing Recharge potentiality Barind tract Bangladesh 

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References

  1. Abdallah, C., Khawlie, M., Shaban, A. and Bou Kheir, R. (2002) A method comparing between drainage networks extracted from DEM and conventional approaches on a pilot area in Lebanon. Proceedings of the International Symposium on Remote Sensing, Damascus, Syria, 9–12 December.Google Scholar
  2. Alam, M.K., Hossain, A.K.M.S., Khan, M.R. and Whitney, J.W. (1990) Geological Map of Bangladesh. Geol. Surv. Bangladesh, Dhaka, (Scale 1.1,000,000).Google Scholar
  3. Chorowicz, J., Ichoku, V., Riazanoff, S., Kim, Y. and Cervelle, B. (1992) A combined algorithm for automated drainage network extraction. Water Resource Res., v.28, pp.1293–1302.CrossRefGoogle Scholar
  4. Greenbaum, D. (1985) Review of remote sensing applications to groundwater exploration in basement and regolith. British Geol. Surv. Report, OD-85(8), 36p.Google Scholar
  5. Horton, R.E. (1945) Erosion development of streams and their drainage basins. Hydrol Appl. of Morph., Bull. Geol. Soc. Amer., v.56, pp.275–370.CrossRefGoogle Scholar
  6. Ichoku, A., Meiseis, A. and Chorowicz, J. (1996) Detection of drainage channel networks on digital satellite images. Int. Jour. Remote Sensing, v.17(9), pp.1659–1678.CrossRefGoogle Scholar
  7. Institute of Water Modelling (IWM) (2006) Project Brief for Deep Tubewell Installation Project in Barind Area, Groundwater Model Study for Deep Tubewell Installation Project In Barind Area. Final Report, IWM, Dhaka.Google Scholar
  8. Jenson, S. and Domingue, J. (1988) Extraction topographic structure from digital elevation data for geographic information system analysis. Photogram Engg. Sens., v.54(11), pp.1593–1600.Google Scholar
  9. Khawlie, M. (1986) Land-use planning for the development of a disrupted urban center: Beirut, Lebanon. Int. Jour. Dev. Technol., v.4, pp.267–281.Google Scholar
  10. Martinez-Casasnovas, J. and Stuiver, H. (1998) Automated delineation of drainage networks and elementary catchments from digital elevation models, ITC J, v.3/4, pp.198–208.Google Scholar
  11. Melton, M.A. (1958) Geoetric properties of mature drainage systems and the representation in an E4 phase space. Jour. Geol., v.66, pp.35–45.CrossRefGoogle Scholar
  12. Shaban, A. (2003) Studying the hydrogeology of Occidental Lebanon: utilization of remote sensing. Etude de phydrogeologie du Liban occidental: Utilization de la teledection. These de doctorat, Universite Bordeaux 1, 202p.Google Scholar
  13. Shaban, A., Khawlie, M., Bou Kheir, R. and Abdallah, C. (2001) Assessment of road instability along a typical mountainous road using GIS and aerial photos, Lebanon- eastern Mediterranean. Bull. Engg. Geol. Env., v.60, pp.93–101.CrossRefGoogle Scholar
  14. Strahler, A.N. (1952) Hypsometric analysis of erosional topography. Bull. Geol. Soc. Amer., v.60, pp.117–1142.Google Scholar
  15. Su, Z. (2000) Remote sensing of landuse and vegetation for mesoscale hydrological studies. Int. Jour. Remote Sensing, v.21.Google Scholar
  16. Tribe, A. (1991) Automated recognition of valley heads from digital elevation models. Earth Surface Processes Landforms, v.16, pp.33–49.CrossRefGoogle Scholar

Copyright information

© Geological Society of India 2010

Authors and Affiliations

  • M. I. Adham
    • 1
  • C. S. Jahan
    • 1
  • Q. H. Mazumder
    • 1
  • M. M. A. Hossain
    • 2
  • Al-Mamunul Haque
    • 1
  1. 1.Department of Geology and MiningUniversity of RajshahiRajshahiBangladesh
  2. 2.GIS DivisionCenter for Environmental and Geographical Information Services (CEGIS)DhakaBangladesh

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