Estimating Hydraulic Conductivity, Transmissibility and Specific Yield of Aquifer in Barind Area, Bangladesh Using Pumping Test



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Submitted Jun 30, 2022
Published Aug 19, 2022
10.24018/ejgeo.2022.3.4.308

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Reliable hydraulic parameters values are essential and crucial basic data for potential groundwater withdrawal (aquifer yield) and also for sustainable groundwater management. They are also essential for simulation model study for different management scenario analyses. The laboratory test has limitations, while in situ tests produce representative aquifer parameters. The pumping test method is the only method that provides simultaneous information on the hydraulic behavior of the well, the aquifer, and the aquifer boundaries. Pumping tests were performed to determine aquifer hydraulic properties such as hydraulic conductivity (K), transmissibility (T), and specific yield (Sy) at two Upazilas of the Barind area, namely Nachol and Niamatpur. The aquifer formation is composed of layers: upper fine sand, medium sand, a conductive sand layer, and lower fine sand at the bottom, below which the impervious clay layer exists. The K was determined through Dupit’s steady radial flow equation, T through Theis’s and Copper-Jacob approach, and Sy through Copper-Jacob and gravity drainage of aquifer materials. The mean K, T, and Sy were found as 30.3 m3/m2/day, 756.7 m3/m/day, and 4.6%, respectively for the Nachol location; and 52.7 m3/m2/day, 1027.3 m3/m/day and 6.6%, respectively for Niamatpur location. The values obtained are supported by regional values reported earlier, and also by other locations’ values situated elsewhere having similar aquifer materials. To achieve long-term sustainability in the studied locations, withdrawal of groundwater resources should be optimized considering the aquifer hydraulic properties values.

Keywords: Aquifer, Barind Area, Groundwater, Hydraulic Properties, Pumping Test.

References

  1. Freeze RA, Cherry JA. Groundwater. Prentice Hall Inc. Eaglewood cliffs, New Jersey; 1979.
     Google Scholar
  2. Michael AM. Irrigation: Theory and Practices. Vikas Publishing House Pvt. Ltd, India; 1987.
     Google Scholar
  3. Hamil F, Bell G.Groundwater Resources Development. Butterworth’s Publications; 1986.
     Google Scholar
  4. Todd DK. Groundwater Hydrology. Second Edition. John Wiley and Sons, New York-10016, Pp.267-315; 1980.
     Google Scholar
  5. Amha EA, Anam GS. Determination of Aquifer Hydraulic Parameters from Pumping Test Data Analysis: A Case Study of Akpabuyo Coastal Plain Sand Aquifers, Cross River State, S-E Nigeria, IOSR Journal of Applied Geology and Geophysics(IOSR-JAGG). 2016; 4(1): 01-08.
     Google Scholar
  6. Ali MH. Principles and Practices of Water Resources Development and Management. Nova Science Publishers, Inc, NY, https://novapublishers.com/shop/principles-and-practices-of-water-resources-development-and-management/; 2016.
     Google Scholar
  7. Islam MS. Estimation of Aquifer Parameter of Pabna District, Bangladesh, Global Journals Inc. (USA). 2013; 13(4): (1), https://globaljournals.org/GJSFR_Volume13/4-Estimation-of-Aquifer-Parameter-of.pdf.
     Google Scholar
  8. Singhal BBS, Gupta RP. Estimation of Hydraulic Properties of Aquifers. In: Applied Hydrogeology of Fractured Rocks. Springer, Dordrecht. 2010. DOI: 10.1007/978-90-481-8799-7_9.
     Google Scholar
  9. Maréchal JC, Zaidi FK, Dewandel B. Analyses of Aquifer Parameters from Different Hydraulic Tests and Their Scale Effect. Ahmed S., Jayakumar R., Salih A. Eds. In: Groundwater Dynamics in Hard Rock Aquifers. Springer, Dordrecht. 2008; https://doi.org/10.1007/978-1-4020-6540-8_8.
     Google Scholar
  10. Maliva RG. Aquifer Pumping Tests. In: Aquifer Characterization Techniques. Springer Hydrogeology. Springer, Cham. 2016; https://doi.org/10.1007/978-3-319-32137-0_7.
     Google Scholar
  11. Tang Y, Zhou J, Yang P, Yan J, Zhou N. Hydrogeological Parameters Calculation. In: Groundwater Engineering. Springer Natural Hazards. Springer, Singapore. 2017. DOI:10.1007/978-981-10-0669-2_2.
     Google Scholar
  12. Khadri SFR, Moharir K. Characterization of aquifer parameter in basaltic hard rock region through pumping test methods: a case study of Man River basin in Akola and Buldhana districts Maharashtra India. Model. Earth syst. Environ. 2016; 2: 33, doi: 10.1007/s40808-015-0047-9
     Google Scholar
  13. Ali MH, Abustan I. Methods and approaches of groundwater investigation, development, and management. Dominic P. Torres (Eds.) In: Water Engineering. Nova Science Publishers, Inc, NY, USA. ISBN: 978-1-61209-914-9, pp.1-122; 2011.
     Google Scholar
  14. Lu Qi, Sato M. Estimation of hydraulic property of an unconfined aquifer by GPR. Sens Imaging, 2007, 8: 83-99; 2007.
     Google Scholar
  15. Boucher M, Favreau G, Vouillamoz JM, Nazoumou Y, Legchenko A. Estimating specific yield and transmissivity with magnetic resonance sounding in an unconfined sandstone aquifer (Niger). Hydrogeol. J. 2009; 17: 1805-1815. doi: 10.1007/s10040-009-0447-x.
     Google Scholar
  16. Lu, D, Huang D, Xu C. Estimation of hydraulic conductivity by using pumping test data and electrical resistivity data in faults zone. Ecological Indicators. 2021; 129107861.
     Google Scholar
  17. Kumar S, Sarkar A, Thakur SK, Shekhar S. Hydrological characterization of aquifer in Palla Flood Plain of Delhi using integrated approach. J. Geo. Soc. of India. 2017; 90:459-466.
     Google Scholar
  18. Landon MK, Rus DL, Harvey FE. Comparison of instream methods for measuring hydraulic conductivity in sandy streambeds. Ground Water. 2001; 39:870–885.
     Google Scholar
  19. D’Andrea R. Discussion on hydraulic conductivity of soils from grain-size distribution: new models. J Geotech Geoenviron Eng. 2001; 127:899.
     Google Scholar
  20. Cheong JY, Hamm SY, Kim HS, et al. Estimating hydraulic conductivity using grain-size analyses, aquifer tests, and numerical modeling in a riverside alluvial system in South Korea. Hydrogeol J. 2008;16: 1129. https://doi.org/10.1007/s10040-008-0303-4.
     Google Scholar
  21. Indelman P, Moltyaner G, Dagan G. Determining the hydraulic conductivity spatial structure at the Twin Lake site by grain-size distribution. Ground Water. 1999; 37:223–227.
     Google Scholar
  22. Boadu FK. Hydraulic conductivity of soils from grain-size distribution: new models. J Geotech Geoenviron Eng. 2000; 126:739–746.
     Google Scholar
  23. Alam N, Olsthoorn TN. Re-evaluating the US Geological Survey’s pumping test (1967) in the Punjab region of Pakistan for use in groundwater studies. Hydrogeology J. 2014; 22: 1147-1162.
     Google Scholar
  24. Sindalovskiy LN. Aquifer-Test Analytical Methods. In: Aquifer Test Solutions. Springer, Cham. pp 227-259. https://doi.org/10.1007/978-3-319-43409-4_12; 2017
     Google Scholar
  25. Birpinar, ME. Aquifer Parameter Identification and Interpretation with Different Analytical Methods. Water SA. 2003; 29: 251-256.
     Google Scholar
  26. Hvilshoj S, Jensen KH, Barlebo HC, Madsen B. Analysis of Pumping Tests of Partially Penetrating Wells in an Unconfined Aquifer Using Inverse Numerical Optimization. Hydrology Journal. 1999; 7: 365-379.
     Google Scholar
  27. Jha MK, Jayalekshmi K, Machiwal D, Kamii Y, Chikamori K. Determination of Hydraulic Parameters of an Unconfined Alluvial Aquifer by the Flood Wave-Response Technique. Hydrogeol J. 2004; 12:628–642.
     Google Scholar
  28. Ayers JF. Conjunctive use of geophysical and geological data in the study of an alluvial aquifer, Ground Water. 1989; 27:625–632, https://doi.org/10.1111/j.1745-6584.1989.tb00475.x.
     Google Scholar
  29. Kruseman GP, de Ridder NA. Analysis and evaluation of pumping test data, 3rd edition., vol. 11. International Institute for Land Reclamation and Development, Wageningen; 1994.
     Google Scholar
  30. Ige OO, Obasaju DO, Baiyegunhi CB, Ogunsanwo O, Baiyegunhi TL. Evaluation of Aquifer Hydraulic Characteristics using Geoelectrical Sounding, Pumping and Laboratory Tests: A Case Study of Lokoja and Patti Formations, Southern Bida Basin, Nigeria. Open Geosci. 2018; 10: 807-820.
     Google Scholar
  31. Satter GS, Keramat M, Shahid S. Deciphering Transmissivity and Hydraulic Conductivity of the aquifer by vertical electrical sounding (VES): Experiments in Northwest Bangladesh. Applied Water Science. 2016; 6: 35-45.
     Google Scholar
  32. IWM. Groundwater Resources Study for Barind Integrated Area Development Project, Phase-III Volume-1, Final Report, Dhaka; 2012.
     Google Scholar
  33. IWM. Groundwater Model Study for Deep Tubewell Installation Project in Barind Area, Volume-1, Final Report, Dhaka; 2006.
     Google Scholar
  34. Driscoll FG. Groundwater and wells, second edition. Jhonson Division, St. Paul, Minnesota 55122; 1986.
     Google Scholar
  35. Raghunath HM. Ground Water. Second Edition, K.K. Gupta for New Age International (P) Ltd., New Delhi-110002; 1987.
     Google Scholar
  36. Dupuit J. Etudes théoriques et pratiques sur le mouvement des eaux dans les canauxdécouverts et à travers les terrains perméables. 2nd ed., Dunod: Paris; 1863.
     Google Scholar
  37. Thiem, G. Hydrologische Methoden. Gebhardt: Leipzig, Germany; 1906.
     Google Scholar
  38. Jacob C.E. Drawdown Test to Determine Effective Radius of Artesian Well. Transactions American Society of Civil Engineers, 1947;112:1047-1070.
     Google Scholar
  39. Sattar GS, Keramat M, Shahid S. Deciphering transmissivity and hydraulic conductivity of the aquifer by vertical electrical sounding (VES) experiments in Northwest Bangladesh. Applied Water Science, 2014; 6(1): 35–45. https://doi.org/10.1007/s13201-014-0203-9
     Google Scholar