Evaluation of environmental factors affecting diffuse nitrate pollution in the Chadegan Aquifer (Isfahan Province), using Principal Component Analysis (PCA)

Document Type : Research Article

Authors

1 Associate Professor, Geography Department, University of Isfahan, Iran

2 PhD in Environmental Geology, Islamic Azad University, Isfahan (Khorasgan) Branch, Iran.

3 PhD Candidate, Geography Department, University of Isfahan, Iran.

Abstract

Due to water crisis and extreme volume of groundwater extraction throughout Iran, vulnerability assessment of aquifers and water sources management has become one of the essential need of environmental research in Iran. Through various pollutant, nitrate as one of the chemical water pollution index considered from ages. Chadegan aquifer, as one of the main Gavkhoni basins, was selected to study the environmental factors affecting groundwater pollution by nitrate, since the majority of the Chadegan aquifer is subject to a very high degree of human impact. The main goals of this study are 1) to get a better understanding of salinity distribution in the aquifer during last two decades, 2) to find out salinity and nitrate distribution in the Chadegan aquifer and 3) to figure the relative contribution of several environmental parameters (including land use) that are often used in groundwater vulnerability assessment, using principal components analysis (PCA). In this study, at the first, rate of sampling points for each DRASTIC layer and land use determined and then the relative contribution of several environmental parameters affecting groundwater quality of Chadegan obtained using the multivariate principal component analysis. This study showed that salinity level of groundwater vary from 250 to 408 µS/cm. Consistent increasing salinity level of groundwater during last two decades (from 308/5 µS/cm in 1995 to 359/2 in 2016) and presence of higher level of salinity in northern and southern part of the study area in 1995, 2010, 2013 and 2016 compare to central part of the area count as two considerable results of the present study. Concentration of nitrate between 15 and 37 mg/l in 2016 and interaction between intrinsic vulnerability and land use affecting groundwater risk pollution by nitrate in northern and southern parts of the study area take into account as the main findings of this study.

Keywords


References (in Persian)
Ahmad Bozorgi, N., 2016. Evaluation of groundwater pollution potential using DRASTIC model in GIS environment, A case study of Tonekabon Abdashtn, Northern Iran. Third Conference on the Environment and crisis ahead (with a focus on water scarcity and pollution in urban and industry) (Tehran, Engineering Company of Moon of Knowledge of Atran). [In Persian]
Hoseinzadeh, M., Afrasiab, P., Ramazani, Y., and Khasheii Sivaki, A., 2016. Investigating the effect of land use on aquifer damage using the DRASTIC and ANP Method. Case study: Mashhad Plain. Fourth National Conference on the Application of New Technologies in Engineering Sciences (Torbat Heydarieh University). [In Persian]
Isfahan Regional Water Organization., 2016. Groundwater Research Section, unpublished data. [In Persian]
Sahba'I, M., and Masoumi, R., 2006. Geological map of Chadegan (1/100000), Geological Survey of Iran. Ministry of Energy. [In Persian]
Ahmadi, A., Rezayan, S., and Mahmoudzadeh, E., 2013. Evaluation of vulnerability of the aquifer of Meimeh plain of Isfahan using AVI and GODS methods, comparative DRASTIC, Journal of Environmental Studies. 2, 60-45. [In Persian]
Rezaei, F., Safavi, H., Ahmadi, A., 2012. Evaluation and analysis of vulnerability of Zayandeh Rood basin groundwater vulnerability to the pure nutritional parameter in the drainage method. 9th International Congress of Civil Engineering. [In Persian]
References (in English)
Abdeslam, I., Fehdi, C., and Djabri, L., 2017. Application of drastic method for determining the vulnerability of an alluvial aquifer: Morsott - El Aouinet north east of Algeria: using ArcGIS environment. Energy Procedia. 119, 308-317.
Almasri, M.N., 2008. Assessment of intrinsic vulnerability to contamination for Gaza coastal aquifer, Palestine. Journal of Environmental Management. 88, 577–593.
Anazawa, K., and Ohmori, H., 2005. The hydrochemistry of surface waters in andesite volcanic area, Norikura volcano, central Japan. Chemosphere. 59, 605–615.
Antoine, M.K., Marnik, V., and Jean, N.L., 2017. Assessing groundwater vulnerability in the Kinshasa region, DR Congo, using a calibrated DRASTIC model. Journal of African Earth Sciences. 126, 13-22.
Arauzo, M., and Martı´nez-Bastida, J.J., 2015. Environmental factors affecting diffuse nitrate pollution in the major aquifers of central Spain: groundwater vulnerability vs. groundwater pollution. Environmental Earth Science. DOI 10.1007/s12665-014-3989-8.
Arauzo, M., and Valladolid, M., 2013. Drainage and N-leaching in alluvial soils under agricultural land uses: implications for the implementation of the EU Nitrates Directive. Agriculture, Ecosystems & Environment – Journal. 179, 94–107.
Babiker, I.S., Mohamed, M.A.A., Hiyama, T., and Kato, K., 2005. A GIS based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, Central Japan. Science of the Total Environment. 345(1-3), 127–140.
Breabăn, I.G., and Madalina, P., 2012. The Impact of Anthropogenic Nutrients on Groundwater Nitrate Concentration in the Bârlad Area, Analele Universităţii din Oradea. Fascicula Protecţia Mediului. XIX, 615-620.
Chen, S.K., Hsieh, C.H., and Tsai, C.B., 2017. Developing a Composite Aquifer Vulnerability Assessment Model Combining DRASTIC with Agricultural Land Use in Choushui River Alluvial Fan, Central Taiwan. Geophysical Research Abstracts. 19, EGU2017-2508.
Connell, L.D., and Daele, G., 2003. A quantitative approach to aquifer vulnerability mapping. Journal of Hydrology. 276, 71–88.
European Commission., 2010. On implementation of Council Directive (91/676/EEC) concerning the protection of waters against pollution caused by nitrates from agricultural sources based on Member State reports for the period 2004-2007. Commission staff working document, Brussels. 42p.
European Commission., 2000. Nitrates Directive (91/676/EEC) Status and trends of aquatic environment and agricultural practice, Development guide for Member States’ reports, Directorate- General for Environment. Commission staff working document, Brussels.
European Environmental Agency., 2005. Source apportionment of nitrogen and phosphorus inputs into the aquatic environment, EEA Report No 7. Copenhagen, 52p.
Majolagbe, A.O., Adeyi, A.A., and Osibanjo, O., 2016. Vulnerability assessment of groundwater pollution in the vicinity of an active dumpsite (Olusosun), Lagos, Nigeria. Chemistry International. 2(4), 232-241.
Martı´nez-Bastida, J.J., Arauzo, M., and Valladolid, M., 2010. Intrinsic and specific vulnerability of groundwater in Central Spain: the risk of nitrate pollution. Hydrogeology Journal.18, 681–698.
Martı´nez-Bastida, J.J., Arauzo, M., and Valladolid, M., 2010. Intrinsic and specific vulnerability of groundwater in Central Spain: the risk of nitrate pollution. Hydrogeology Journal. 18, 681–698.
Retike, I., Delina, A., Bikse, J., Kalvans, A., Popovs, K., and Pipira, D., 2016. Quaternary groundwater vulnerability assessment in Latvia using multivariate statistical analysis. Research for rural development. 1, 210-215.
Rupert, M.G., 2001. Calibration of the DRASTIC ground water vulnerability mapping method. Ground Water. 39, 625–630.
Santos, R.G., Sturaro, J.r., Marques, M.L., and Faria, T.T.D., 2015. GIS applied to the mapping of land use and vulnerability in the outcrop zone of the Guarani Aquifer System. Procedia Earth and Planetary Science. 15, 553–559.
Sutton, M.A., Howard, C.M., Erisman, J.W., Billen, G., Bleeker, A., Grennfelt, P., van Grisven, H., and Grizzetti, B., 2011. The European nitrogen assessment: sources, effects and policy perspectives. Cambridge University Press. Cambridge.
Worrall, F., Spencer, E., and Burt, T.P., 2009. The effectiveness of nitrate vulnerable zones for limiting surface water nitrate concentrations. Journal of Hydrology. 370, 21–28.
Volume 8, Issue 21 - Serial Number 3
September 2019
Pages 19-40
  • Receive Date: 31 August 2017
  • Revise Date: 21 October 2017
  • Accept Date: 11 June 2018
  • First Publish Date: 23 September 2019
  • Publish Date: 23 September 2019