Assessment of Groundwaters Quality for Industrial and Agricultural Applications Using Consecutive Gaussian Simulation

Document Type : Research - Paper

Authors

1 M.Sc Student, Dept. of Mining Engineering, Sistan and Baluchestan University, Sistan and Baluchestan, Iran

2 Assistant Professor, Dept. of Mining Engineering, Sistan and Baluchestan University, Sistan and Baluchestan, Iran

Abstract

The geostatistical method is one of the most advanced techniques to assess and survey groundwater quality.  Using unsuitable water results in some problems such as soil salinity, reduction of soil permeability, decrease in water absorption by plant roots, diminution of crop productivity, or even menace agricultural production. Accordingly, in this study, the groundwater quality in the study's area for agricultural uses as well as industrial applications by using common diagrams and components related to the classification of water quality was investigated. ISATIS and Surfur software were used to illustrate changes in quality characteristics in the study's area graphically and Consecutive Gaussian simulations to analyze spatial connection among variables and estimate some of the quality indexes such as PH, RSC, Na%, SAR, and Ec. After data normalization, the variogram was calculated, and a sufficient model was selected to fit the experimental variogram based on the lowest SSR Error. Afterward, Consecutive Gaussian simulation in 100 samples in the study's area was examined using the fitted model based on the experimental model, and the maps resulting through simulation in different thresholds were provided. The results showed that the majority of samples have fairly suitable quality in terms of SAR, and in general, they are appropriate for agricultural uses. Percentage risk of Sodium in agricultural water in the study's area was also classified into the appropriate class. Except for four samples whose spatial connection of the forgoing cases have been interpolated and the interpolated probability maps have been provided, the water quality for industrial uses is susceptible to sedimentation in all statutes.

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Main Subjects

References

  1. Issaks, E. H., and Srivastava, R. M. (1989). “Applied Geostatistics”. Newyork, Oxford University Press.
  2. Huysmans, M., and Dassargues, A. (2009). “Application of multiple-point geostatistics on modelling groundwater flow and transport in a cross-bedded aquifer (Belgium)”. Hydrogeology Journal, 17(8): 1901-1911.
  3. Marache, A., Breysse, D., Piette, C., and Thierry, P. (2009). “Geotechnicalmodeling at the city scale using statistical and geostatistical tools: the Pessac case (France)”. Engineering Geology, 107(3-4): 67-76.
  4. Wuing, L., Shin, Ch., Jang, Ch., and Min Liao, Ch. (2004). “Evaluation of arsenic contamination potential using indicator kriging in the Yun-Lin aquifer (Taiwan)”. Science of the Total Environment, 321(1-3): 173-188.
  5. Rhoades, J. D., and Merrill, A. S. D. (1976). “Assessing the suitability of water for irrigation: theoretical and empirical approaches. In: Prognosis of salinity and alkalinity”. FAO Soils Bull, 13: 69-109.
  6. Ravikumar, P., and Somashekar, R. K. (2010). “Multivariate analysis to evaluate geochemistry of groundwater in Varahi River basin of Udupi in Karnataka (India)”. The Ecoscan, 4(2-3): 153-162.
  7. Li, P., Wu, J., Qian, H., Lyu, X., and Liu, H. (2004). “Origin and assessment of groundwater pollution and associated health risk: a case study in an industrial park, northwest china”. Environmental Geochemistry and Health, 36: 693-712.
  8. Gimenez-Forcada, E. (2010). “Dynamic of sea water interface using hydrochemical facies evolution diagram”. Groundwater, 48(2): 212-216.
  9. Samantara, M. K., Padhi, R. K., Sowmya, M., and Satpathy, K. K. (2017). “Heavy metal contamination, major ion chemistry and appraisal of the groundwater status in coastal aquifer, Kalpakkam, Tamil Nadu, India”. Groundwater for Sustainable Development, 5: 49-58.
  10. Seiler, R. L., Stollenwerk, K. G., and Garbarino, J. R. (2005). “Factors controlling tungsten concentrations in groundwater, Carson Desert, Nevada”. Applied geochemistry, 20(2): 423-441.
  11. Liao, F., Wang, G., Shi, Z., Huang, X., Xu, F., Xu, Q., and Guo, L. (2017). “Distributions, sources, and species of heavy metals/trace elements in shallow groundwater around the Poyang Lake, East China”. Exposure and Health, 10(10): 1-17.
  12. افتخاری، م.، اسلامی نژاد، س. ا.، حاجی الیاسی، ع.،اکبری، م.؛ 1400؛ "ارزیابی زمین‌آماری با شاخص کیفیت آب‌زیرزمینی به منظور آشامیدن (DGWQI) در آبخوان دشت بیرجند". محیط‌زیست و مهندسی آب، دوره 7، شماره 2، ص 278-267.
  13. افتخاری، م.، اکبری، م.؛ 1399؛ "توسعه روش DRASTIC با در نظر گرفتن کاربری اراضی به منظور تحلیل پتانسیل آلودگی آبخوان مناطق نیمه خشک". محیط‌زیست و مهندسی آب، دوره 6، شماره 4، ص 359-345.
  14. رحیم‌زاده کیوی، م.، حمزه، س.، کاردان مقدم، ح.؛ 1394؛ "تعیین قابلیت آسیب‌پذیری کیفی آب‌زیرزمینی دشت بیرجند با استفاده از مدل دراستیک و واسنجی آن به روش تحلیل سلسله مراتبی". پژوهش‌های جغرافیایی طبیعی، دوره 47، شماره 3، ص 498-481.
  15. حسن‌پور، م.، خزیمه‌نژاد، ح.؛ 1397؛ "مکان‌یابی چاه‌های تغذیه جهت تغذیه مصنوعی و بهبود کیفیت آبخوان دشت بیرجند با استفاده از پساب تصفیه شده فاضلاب". دوره 4، شماره 3، ص 226-216.
  16. کشاورز، ا.، خاشعی سیوکی، ع.، نجفی، م. ح.؛ 1393؛ "مکان‌یابی مناسب استحصال آب شرب با استفاده از تحلیل سلسله مراتبی فازی (مطالعه موردی: آبخوان بیرجند)". دوره 3، شماره 3، ص 142-135.
  17. اداره آب منطقه ای خراسان جنوبی؛ 1386؛ "شناسایی منابع آب و برنامه‌ریزی برای استفاده بهینه از منابع آب در استان خراسان جنوبی".
  18. Todd, D. K., and Mays, L. W. (2005). “Groundwater hydrology”. Welly Inte.
  19. Wilcox, L. (1955). “Classification and use of irrigation waters”. Washington, D.C.: U.S. Dept. of Agriculture.

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History

  • Receive Date: 11 April 2021
  • Revise Date: 10 February 2022
  • Accept Date: 28 December 2021

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