Using geographic information system (GIS) and remote sensing (RS) in zoning nitrate concentration in the groundwater of Birjand, Iran

Document Type : Original Article

Authors

1 Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

2 Department of Environmental Sciences, School of Natural Resources and Desert Studies, Yazd University, Yazd, Iran

3 Department of Geographic Information Systems and Remote Sensing, School of Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran

4 Social Determinants of Health Research Center AND Department of Environmental Health Engineering, School of Public Health, Birjand University of Medical Sciences, Birjand, Iran

5 Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran

Abstract

Previous studies have shown that the presence of nitrate in drinking water can cause several diseases especially in the infants, such as cancer and blue baby. The Environmental Protection Agency (EPA) has since adopted the 50 mg/l standard as the maximum contaminant level (MCL) for nitrate for regulated public water systems. This study aimed to evaluate the concentration of nitrate in the drinking water wells of Birjand, Iran, using inverse distance weighting (IDW) model and also using remote sensing (ENVI software) for studying the vegetation area. In this study, the average annual nitrate level in 2015 was measured from 19 wells around Birjand that were used as rural water supplies. For the zoning of nitrate concentration in the groundwater of Birjand, we used Arc GIS software by using IDW interpolation methods, and for studying the vegetation area and its effect on the groundwater quality we used Landsat Archive image (L4-5 TM sensor) and ENVI 4.7 software. The mean concentration of nitrate was 25.89 ± 12.33 mg/l in the groundwater. Nitrate concentration was more than the standard range (50 mg/l) according to the National Standard of Iran (No. 1053) in one well in the studied zone. Based on the information obtained from remote sensing, agricultural activities were an effective factor in increasing the concentrations of nitrate in the groundwater of the studied area. 

Keywords

References

1. World Health Organization. Guidelines for drinking-water quality: recommendations. Geneva, Switzerland: World Health Organization; 2004.
2. Jensen OM. Nitrate in drinking water and cancer in northern Jutland, Denmark, with special reference to stomach cancer. Ecotoxicol Environ Saf 1982; 6(3): 258-67.
3. Fan AM, Steinberg VE. Health implications of nitrate and nitrite in drinking water: an update on methemoglobinemia occurrence and reproductive and developmental toxicity. Regul Toxicol Pharmacol 1996; 23(1 Pt 1): 35-43.
4. van Maanen JM, van Dijk A, Mulder K, de Baets MH, Menheere PC, van der Heide D, et al. Consumption of drinking water with high nitrate levels causes hypertrophy of the thyroid. Toxicol Lett 1994; 72(1-3): 365-74.
5. Fallahzadeh R, Gholami M, Madreseh E, Ghaneian M, Farahzadi M, Askarnejad A. et al. Comparison of using an electronic system and conventional monitoring method for monitoring the quality of drinking water and defects discovery in rural area water distribution network of Abarkouh, Iran. Health 2015; 7(1): 35-40.
6. Thilagavathi N, Subramani T. Ground water quality monitoring of mine area using remote sensing and geographic information techniques. Int J Sci Eng Res 2012; 3(7): 1-8.
7. Ehsani H, Javid A, Hasani A, Shariat M, Rahmani A. Evaluation of nitrate variation and Total dissolved solids trend in drinking water using GIS Hamadan plain ground. Proceedings of the 10th National Conference on Environmental Health;
2007 Oct 29-30; 2007. p. 67-76. [In Persian].
8. Cressie N. Statistics for spatial data. New York, NY: John Wiley & Sons; 2015.
9. Schabenberger O, Gotway CA. Statistical Methods for Spatial Data Analysis. Boca Raton, FI: CRC Press; 2004.
10. Badeenezhad A, Gholami M, Jonidi Jafari A, Ameri A. Factors affecting nitrate concentrations in Shiraz groundwater using geographical information system. Toloo e Behdasht 2012; 11(2): 47-56. [In Persian].
11. Fathi Hafshejani E, Beigi Harchegani H. Spatial variability and mapping of nitrate and phosphate in Shahrekord groundwater over a period of five years. Journal of Water and Soil Science 2013; 17(65): 63-75. [In Persian].
12. Ostovari Y, Beigi Harchegani H, Davoodian A. Spatial variation of nitrate in the Lordegan aquifer. Water and Irrigation Management 2012; 2(1): 1-16.
13. Fallahzadeh R, Almodaresi S, Dashti M, Fattahi A, Sadeghnia M, Eslami H, et al. Zoning of nitrite and nitrate concentration in groundwater using geografic information system (GIS), case study: drinking water wells in Yazd city. J Geo Environ Prot 2016; 4(3): 91-6.
14. Basnyat P, Teeter LD, Lockaby BG, Flynn KM. The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems. For Ecol Manage 2000; 128(1-2): 65-73.
15. Lake IR, Lovett AA, Hiscock KM, Betson M, Foley A, Sunnenberg G, et al. Evaluating factors influencing groundwater vulnerability to nitrate pollution: developing the potential of GIS. J Environ Manage 2003; 68(3): 315-28.
16. Lee SM, Min KD, Woo NC, Kim YJ, Ahn CH. Statistical models for the assessment of nitrate contamination in urban groundwater using GIS. Env Geol 2003; 44(2): 210-21.
17. Zhang WL, Tian ZX, Zhang N, Li XQ. Nitrate pollution of groundwater in northern China. Agric Ecosyst Environ 1996; 59(3): 223-31.
18. Nas B, Berktay A. Groundwater contamination by nitrates in the city of Konya, (Turkey): a GIS perspective. J Environ Manage 2006; 79(1): 30-7.
19. Lasserre F, Razack M, Banton O. A GIS-linked model for the assessment of nitrate contamination in groundwater. J Hydrol 1999; 224(3-4): 81-90.
Journal of Advances in Environmental Health Research
Volume 4, Issue 3
July 2016
Pages 129-134

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