Original Article
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Application of Geochemistry and VNIR Spectroscopy in Mapping Heavy Metal Pollution of Stream Sediments in the Takab Mining Area, NW of Iran
Parisa PIROOZFAR,
Samad ALIPOUR,
Soroush MODABBERI,
David COHEN,
Corresponding Author
Parisa PIROOZFAR
Department of Geology, Faculty of Sciences, Urmia University, Urmia, Iran
Corresponding author. E-mail: [email protected]Search for more papers by this authorSamad ALIPOUR
Department of Geology, Faculty of Sciences, Urmia University, Urmia, Iran
Search for more papers by this authorSoroush MODABBERI
School of Geology, University of Tehran, Tehran, Iran
Search for more papers by this authorDavid COHEN
School of Biological, Earth and Environmental Sciences, New South Wales University, Sydney, Australia
Search for more papers by this authorParisa PIROOZFAR,
Samad ALIPOUR,
Soroush MODABBERI,
David COHEN,
Corresponding Author
Parisa PIROOZFAR
Department of Geology, Faculty of Sciences, Urmia University, Urmia, Iran
Corresponding author. E-mail: [email protected]Search for more papers by this authorSamad ALIPOUR
Department of Geology, Faculty of Sciences, Urmia University, Urmia, Iran
Search for more papers by this authorSoroush MODABBERI
School of Geology, University of Tehran, Tehran, Iran
Search for more papers by this authorDavid COHEN
School of Biological, Earth and Environmental Sciences, New South Wales University, Sydney, Australia
Search for more papers by this authorFirst published: 27 December 2018
About the first author: Parisa PIROOZFAR, female, born in 1978 in Tehran city, Iran; PhD; expert of geochemical exploration department, Geological Survey of Iran (GSI); She is now interested in the study of environmental geochemistry and exploration geochemistry; Email: [email protected].
Abstract
This study considered the possibility of using visible and near infrared (VNIR) spectral absorption feature parameters (SAFPs) in predicting the concentration and mapping the distribution of heavy metals in sediments of the Takab area. In total, 60 sediment samples were collected along main streams draining from the mining districts and tailing sites, in order to measure the concentration of As, Co, V, Cu, Cr, Ni, Hg, Ti, Pb and Zn and the reflectance spectra (350–2500 nm). The quantitative relationship between SAFPs (Depth500nm, R610/500nm, R1344/778nm, Area500nm, Depth2200nm, Area2200nm, Asym2200nm) and geochemical data were assessed using stepwise multiple linear regression (SMLR) and enter multiple linear regression (EMLR) methods. The results showed a strong negative correlation between Ni and Cr with Area2200nm, a significant positive correlation between As and Asym2200nm, Ni and Co with Depth2200nm, as well as Co, V and total values with Depth500nm. The EMLR method eventuated in a significant prediction result for Ni, Cr, Co and As concentrations based on spectral parameters, whereas the prediction for Zn, V and total value was relatively weak. The spatial distribution pattern of geochemical data showed that mining activities, along with the natural weathering of base metal occurrences and rock units, has caused high concentrations of heavy metals in sediments of the Sarough River tributaries.
References
- Alavi, M., Hajian, J., Amidi, M., and Bolourchi, H., 1982. Geology of Takab–Shahin–Dez Quadrangle. Geological Suvey of Iran, Ministry of Mines and Metals of Iran, Tehran, 100.
- Asadi, H.H., Voncken, J.H.L., Kuhnel RA., Hale, and M., 2000. Petrography, mineralogy and geochemistry of the Zarshuran Carlin-like gold deposit. Mineralium Deposita, 35 (7): 672–682.
- Babakhani, A., and Ghalamghash, J., 1995. Geological map of Takhte Soleyman 1:100000. Geological Survey of Iran Press.
- Ben-Dor, E., Irons, J.R., and Epema, G.F., 1999. Soil reflectance. In: A.N. Rencz (ed.), Remote sensing for the earth sciences: manual of remote sensing. Wiley, New York, 111–188.
- CCME (Canadian Council of Ministers of the Environment), 2002. Canadian Sediment Quality Guidelines (CSQGs) for the Protection of Aquatic Life, Ottawa.
- Chakraborty, S., Weindorf, D.C., Deb, S., Li, B., Paul, S., Choudhury, A., and Prasad Ray D., 2017. Rapid assessment of regional soil arsenic pollution risk via diffuse reflectance spectroscopy. Geoderma, 289: 72–81.
- Chang, C.W., Laird, D.A., Mausbach, M.J., and Hurburgh, C.R., 2001. Near-infrared reflectance spectroscopy principal components regression analyses of soil properties. Soil Science Society of America Journal, 65 (2): 480–490.
- Chang, S.H., Wang, K.S., Chang, H.F., Ni, W.W., Wu, B.J., and Wong, R.H., 2009. Comparison of source identification of metals in road-dust and soil. Soil and Sediment Contamination, 18 (5): 669–683.
- Chaudhary, M.Z., Ahmad, N., Mashiatullah, A., Munir, S., and Javed, T., 2013. Assessment of metals contcentration and ecotoxicology of the sediment core of Rehri Creek, Karachi Coast, Pakistan. Acta Geologica Sinica (English Edition), 87 (5): 1434–1443.
- Chen Y., Liu Y., Liu Y., Lin A., Kong X., Liu D., Li X., Zhang Y., Gao Y., and Wang D., 2012. Mapping of Cu and Pb Contaminations in Soil Using Combined Geochemistry, Topography, and Remote Sensing: A Case Study in the Le'an River Floodplain, China. International Journal of Environmental Research and Public Health, 9 (5): 1874–1886.
- Chen, T., Chang, Q., Clevers, J.G.P.W., and Kooistra, L., 2015. Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy. Environmental Pollution, 206, 217–226.
- Choe, E., van der Meer, F., van Ruitenbeek, F., van der Werff, H., de Smeth, B., and Kim, K., 2008. Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain. Remote Sensing of Environment, 112 (7): 3222–3233.
- Choe, E., Kim, K.W., Bang, S., Yoon, I.H., and Lee, K.Y., 2009. Qualitative analysis and mapping of heavy metals in an abandoned Au–Ag mine area using NIR spectroscopy. Environmental Geology, 58 (3): 477–482.
- Croft, H., Kuhn, N.J., and Anderson, K., 2012. On the use of remote sensing techniques for monitoring spatio-temporal soil organic carbon dynamics in agricultural systems. Catena, 94: 64–74.
- Darwish, M.A.G., 2011. Geochemical and environmental evaluation of Um Shashoba gold mine area, southeastern desert, Egypt. Acta geologica sinica (English edition), 85 (4): 881–898.
- Gannouni, S., Rebai, N., and Abdeljaoued, S., 2012. A spectroscopic approach to assess heavy metals contents of the mine waste of Jalta and Bougrine in the North of Tunisia. Journal of Geographic Information System, 4 (3): 242–253.
10.4236/jgis.2012.43029 Google Scholar
- Gholizadeh, A., Boruvka, L., Saberioon, M., Kozak, J., Vasat, R., and Nemecek, K., 2015a. Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features. Soil and Water Research. 10(4): 218–227.
- Gholizadeh, A., Boruvka, L., Vasat, R., Saberioon, M., Klement, A., Kratina, J., Tejnecky, V., and Drabek, O., 2015b. Estimation of potentially toxic elements contamination in anthropogenic soils on a brown coal mining dumpsite by reflectance spectroscopy: a case study. PLoS one. 10(2): e0117457.
- Ghorbani, M., 1999. Petrological investigations of tertiary-quaternary magmatic rocks and their metallogeny in Takab area. PhD. thesis (unpublished), Faculty of Earth Sciences, Shahid Beheshti University (in Farsi).
- Ji, J., Song, Y., Yuan, X., and Yang, Z., 2010. Diffuse reflectance spectroscopy study of heavy metals in agricultural soils of the Changjiang River Delta, China. In: 19th World Congress of Soil Science, Soil Solutions for a Changing World, Brisbane.
- Kodirov, O., and Shukurov, N., 2009. Heavy metal distribution in soils near the Almalyk Mining and smelting industrial area, Uzbekistan. Acta Geologica Sinica (English Edition), 83(5): 985–990.
- Lark, R.M., Hamilton, E.M., Kaninga, B., Maseka, K.K., Mutondo, M., Sakala, G.M., and Watts, M.J., 2017. Nested sampling and spatial analysis for reconnaissance investigations of soil: an example from agricultural land near mine tailings in Zambia. European Journal of Soil Science, 68 (5): 605–620.
- Liu, Y., Li, W., Wu, G., and Xu, X., 2011. Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory based hyperspectral data-a case study along Le'an River, China. Geo-spatial Information Science, 14(1): 10–16.
- Luo, L., Chu, B., Li, Y., Xu, T., Wang, X., Yuan, J., Sun, J., Liu, Y., Bo, Y., Zhan, X., Wang, S., and Tang, L., 2012. Determination of Pb, As, Cd and trace elements in polluted soils near a lead–zinc mine using polarized X-ray fluorescence spectrometry and the characteristics of the elemental distribution in the area. X-Ray Spectrometry, 41 (3): 133–143.
- Maghsoudi, A., Rahmani, M., and Rashidi, B., 2005. Gold deposits and indications of Iran. Arian Zamin Publication, 346.
- Modabberi, S., and Moore, F., 2004. Environmental geochemistry of Zarshuran Au-As deposit, NW Iran. Environmental Geology, 46 (6–7): 796–807.
- Mulder, V.L., de Bruin, S., Schaepman, M.E., and Mayr, T.R., 2011. The use of remote sensing in soil and terrain mapping -A review. Geoderma, 162(1–2): 1–19.
- Nas, B., 2009. Geostatistical approach to assessment of spatial distribution of groundwater quality. Polish Journal of Environmental Studies, 18: 1073–1082.
- Omran, E.S.E., 2016. Inference model to predict heavy metals of Bahr El Baqar soils, Egypt using spectroscopy and chemometrics technique. Modeling Earth Systems and Environment, 2(4): 200.
- Ong, C.C.H., and Cudahy, T.J., 2014. Mapping contaminated soils: using remotely-sensed hyperspectral data to predict pH. European Journal of Soil Science, 65(6): 1365–2389.
- Pandit, M., Filippelli, M., and Li, L., 2010. Estimation of heavy metal contamination in soil using reflectance spectroscopy and partial least squares regression. International Journal of Remote Sensing, 31(15): 4111–4123.
- Rahimsouri, Y., Yaghubpur A., Modabberi S., and Alipour, S., 2012. Release of potentially toxic elements during weathering of the black shales from Aq-Darreh Bala abandoned antimony mine area, Takab, NW Iran. Scientific Quarterly Journal, 21 (84): 139–148.
- Rahimsouri, Y., Yaghubpur, A., and Modabberi, S., 2013. Geochemical distribution of arsenic, antimony and mercury in surface waters and bed sediments from Aq-Darreh River, Takab, northwest Iran. Journal of Environmental Science and Water Resources, 2(3): 075–088.
- Ren, H.Y., Zhuang, D.F., Singh, A.N., Pan, J., Qiu, D.S, and Shi, R.H., 2009. Estimation of As and Cu contamination in agricultural soils around a mining area by reflectance spectroscopy: a case study. Pedosphere, 19(6): 719–726.
- Sakizadeh, M., Mirzaei, R., and Ghorbani, H., 2015. The extent and prediction of heavy metal pollution in soils of Shahrood and Damghan, Iran. Bulletin of environmental contamination and toxicology, 95(6): 770–776.
- Schwartz, G., Eshel, G., and Ben-Dor, E., 2012. Reflectance spectroscopy as a rapid tool for monitoring contaminated soil. Porter School of environmental studies, Tel Aviv University, PhD thesis.
- Shi, J., Wang, H., Xu, J., Wu, J., Liu, X., Zhu, H., and Yu, C., 2007. Spatial distribution of heavy metals in soils: a case study of Changxing, China. Environmental Geology, 52 (1): 1–10.
- Todorova, M., Mouazen, A.M., Lange, H., and Atanassova, S., 2014. Potential of near-infrared spectroscopy for measurement of heavy metals in soil as affected by calibration set size. Water, Air, & Soil Pollution, 225 (8): 2036. DOI 10.1007/s11270-014-2036-4.
- Wetterlind, J., Stenberg, B., and Viscarra Rossel, R.A., 2013. Soil analysis using visible and near infrared spectroscopy. In: F.J.M. Maathuis (ed.), Plant mineral nutrients: methods and protocols. Humana Press, Springer, New York, 95–107, (Published in serie: Methods in molecular biology, nr 953).
10.1007/978-1-62703-152-3_6 Google Scholar
- Xu Xiaochun, Xie Qiaoqin, Chen Fang, Wang Jun and Wu Wentao, 2010. Acid mine drainage and heavy metal pollution from solid waste in the Tongling Mines, China. Acta Geologica Sinica (English Edition), 82(1): 146–153.
- Zavosh, M., 1977. Mineralogy in ancient Iran. Iranian Culture Foundation, 393.
- Zhang, X., Wen, J., and Zhao, D., 2010. Band selection method for retrieving soil lead content with hyperspectral remote sensing data. The Society of Photo-Optical Instrumentation Engineers (SPIE) 7831.
