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      Variations in the Concentration of Magnetic Minerals and Heavy Metals in Suspended Sediments from Citarum River and Its Tributaries, West Java, Indonesia

      Sudarningsih Sudarningsih, Satria Bijaksana, Rizky Ramdani, Abd Hafidz, Aditya Pratama, Widodo Widodo, Irwan Iskandar, Darharta Dahrin, Silvia Jannatul Fajar, Nono Agus Santoso
      Geosciences
      MDPI AG

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          Selected room temperature magnetic parameters as a function of mineralogy, concentration and grain size

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            Magnetic susceptibility mapping of roadside pollution

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              Assessment of heavy metal pollution from a Fe-smelting plant in urban river sediments using environmental magnetic and geochemical methods.

              Environmental magnetic proxies provide a rapid means of assessing the degree of industrial heavy metal pollution in soils and sediments. To test the efficiency of magnetic methods for detecting contaminates from a Fe-smelting plant in Loudi City, Hunan Province (China) we investigated river sediments from Lianshui River. Both magnetic and non-magnetic (microscopic, chemical and statistical) methods were used to characterize these sediments. Anthropogenic heavy metals coexist with coarse-grained magnetic spherules. It can be demonstrated that the Pollution Load Index of industrial heavy metals (Fe, V, Cr, Mo, Zn, Pb, Cd, Cu) and the logarithm of saturation isothermal remanent magnetization, a proxy for magnetic concentration, are significantly correlated. The distribution heavy metal pollution in the Lianshui River is controlled by surface water transport and deposition. Our findings demonstrate that magnetic methods have a useful and practical application for detecting and mapping pollution in and around modern industrial cities.
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                Author and article information

                Journal
                GBSEDA
                Geosciences
                Geosciences
                MDPI AG
                2076-3263
                September 2017
                August 03 2017
                : 7
                : 3
                : 66
                Article
                10.3390/geosciences7030066
                b789ba75-be1e-4459-8edc-29746c37557a
                © 2017

                https://creativecommons.org/licenses/by/4.0/

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