Main Article Content

Abstract

Pollution of ground water is one of the areas of major concern to environmentalists. Water quality is an index of health and well being of a society. Industrialisation, urbanisation and modern agriculture practices have direct impact on ground water resources. These factors influence the ground water quantitatively and qualitatively. Ground water is an important source of potable water supply for Kashipur as well as adjoined areas of the U S Nagar district for all purposes. Ten different locations were selected for the study and compared. Attempts were made to study and analyze the physico-chemical characteristics of the water. The parameters studied were temperature, pH, total alkalinity, total hardness, chloride, sulphate, total dissolved solids, calcium, magnesium and conductivity. By observing the result it can be concluded that the parameters which were taken for study the water quality are below the pollution level for ground water which satisfy the requirement for the use of various purposes like domestic, agricultural, industrial etc in Kashipur area.

Keywords

Ground water Dissolved oxygen Water quality Kashipur Monitoring

Article Details

How to Cite
Sharma, R. K., Siddiqui, N. A., Gautam , A., & Khati, S. (2012). Studies of Ground water quality assessment at industrial belt of Kashipur, Uttarakhand, India. Environment Conservation Journal, 13(3), 151–157. https://doi.org/10.36953/ECJ.2012.130325

References

  1. Akinbile C. O., Yusoff M. S., 2011. Inter. J.Env. Sci.&Dev., 21, 8189.
  2. Datta Bithin and Dhiman S.D., 1996. Chance Constrained Optical Monitoring Network Design for Pollutants in Groundwater, Journal of Water Resources Planning and Management, American Society of Civil Engineers ( ASCE ). DOI: https://doi.org/10.1061/(ASCE)0733-9496(1996)122:3(180)
  3. Datta Bithin., Beegle J.E., Kavvas M.L. and Orlob G.T. 1990. Identification Of Unknown Sources Of Groundwater Pollution Using Statistical Pattern Recognition Technique Embedded In An Expert System, Technical Report (submitted to USGS), Department Of Civil Engineering, University of California, Davis.
  4. Datta, Bithin and Chakrabarty D. 2003. Optimal Identification of Unknown Pollution Sources Using Linked Optimization Simulation Methodology, Proc. of Symposium on Advances in Geotechnical Engg. (SAGE 2003), I.I.T. Kanpur India, 368-379.
  5. Dhar, A. and Bithin Datta, 2007. Multiobjective Design of Dynamic Monitoring Networks for Detection of Groundwater Pollution, to appear in Journal of Water Resources Planning and Management, American Society of Civil Engineers ( ASCE ). DOI: https://doi.org/10.1061/(ASCE)0733-9496(2007)133:4(329)
  6. Kumar N., 1997. Ecol. Env & Cons., 3, 3.
  7. Mahananda H. B., Mahananda M. R., Mohanty B. P.,2005. Ecol. Env & Cons., 11, 537.
  8. Mahar P.S. and Bithin Datta,2001. Optimal Identification of Groundwater Pollution Sources and Parameter Estimation, Journal of Water Resources Planning and Management , ASCE , 127(1), 20-29, DOI: https://doi.org/10.1061/(ASCE)0733-9496(2001)127:1(20)
  9. Mahar P.S. and Bithin. Datta,1997. Optimal Monitoring Network and Groundwater Pollution Source Identification, Journal of Water Resources Planning and Management, ASCE , Jul-Aug, 123(4), DOI: https://doi.org/10.1061/(ASCE)0733-9496(1997)123:4(199)
  10. Mahar, P.S. and Bithin Datta, 2000. Identification of Pollution Sources in Transient Groundwater Systems, Water Resources Management, 14(3):209-227 DOI: https://doi.org/10.1023/A:1026527901213
  11. Masood Ahmed, Krishnamurthy R., 1990. J. Environ. Biol, 11, 335.
  12. Moore P. D., Daniel Jr. T. C., Gilmour J. T., Shereve B. R., Edward D. R., Wood B. H.,1998. J. Env. Qual., 27 ,92. DOI: https://doi.org/10.2134/jeq1998.00472425002700010014x
  13. Muller B. A., 2001. Env. Health. Perspt.,109, 6. DOI: https://doi.org/10.1079/9780851995168.0109
  14. Ogbonna O., Jimoh W.L., Awagu E. F., Bamishaiye E.I, 2011. Adv. Appl. Sci. Res., 2, 62.
  15. Oladipo M. O. A., Njinga R. L., Baba A., Mohammed I., 2011. Adv. Appl. Sci. Res., 2, 123
  16. Sayyed J. A., Bhosle A.B., 2010. Der Chemica Sinica, 1, 104
  17. Shah D.G., Patel P.S., 2011. Der Chemica Sinica, 2, 8. DOI: https://doi.org/10.1016/S0976-0016(11)60049-5
  18. Singh, R.M. and Bithin. Datta,2004. Groundwater pollution source identification and simultaneous parameter estimation using pattern matching by artificial neural network, Environmental Forensics , Vol 5, No.3, 143-159, DOI: https://doi.org/10.1080/15275920490495873
  19. Singh, R.M., and Bithin. Datta, 2006. Identification of groundwater pollution sources using GA based linked simulation optimization, Journal of Hydrologic Engineering, ASCE. DOI: https://doi.org/10.1061/(ASCE)1084-0699(2006)11:2(101)
  20. Yadav S.S., Kumar Rajesh,2011. Adv. Appl. Sci. Res., 2 , 197.